RRID:AB_2886779
DOI: 10.1016/j.cmet.2025.08.003
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2886779
RRID:AB_2886779
DOI: 10.1016/j.cmet.2025.08.003
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2886779
RRID:AB_2287112
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Thermo Fisher Scientific Cat# PA1-046, RRID:AB_2287112)
Curator: @scibot
SciCrunch record: RRID:AB_2287112
RRID:AB_2758615
DOI: 10.1016/j.cmet.2025.08.003
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2758615
RRID:AB_2087497
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 12217-1-AP, RRID:AB_2087497)
Curator: @scibot
SciCrunch record: RRID:AB_2087497
RRID:AB_2195894
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 17256-1-AP, RRID:AB_2195894)
Curator: @scibot
SciCrunch record: RRID:AB_2195894
RRID:AB_2070970
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 14787-1-AP, RRID:AB_2070970)
Curator: @scibot
SciCrunch record: RRID:AB_2070970
RRID:AB_2295573
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 12433-1-AP, RRID:AB_2295573)
Curator: @scibot
SciCrunch record: RRID:AB_2295573
RRID:AB_2892718
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Abcam Cat# ab131366, RRID:AB_2892718)
Curator: @scibot
SciCrunch record: RRID:AB_2892718
RRID:AB_2263076
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 10494-1-AP, RRID:AB_2263076)
Curator: @scibot
SciCrunch record: RRID:AB_2263076
RRID:AB_10700003
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 20536-1-AP, RRID:AB_10700003)
Curator: @scibot
SciCrunch record: RRID:AB_10700003
RRID:AB_10732824
DOI: 10.1016/j.cmet.2025.08.003
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_10732824
RRID:AB_2535792
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Thermo Fisher Scientific Cat# A-21206, RRID:AB_2535792)
Curator: @scibot
SciCrunch record: RRID:AB_2535792
RRID:AB_2536530
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Thermo Fisher Scientific Cat# G-21234, RRID:AB_2536530)
Curator: @scibot
SciCrunch record: RRID:AB_2536530
RRID:AB_2286949
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Abcam Cat# ab32127, RRID:AB_2286949)
Curator: @scibot
SciCrunch record: RRID:AB_2286949
RRID:AB_2762826
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Thermo Fisher Scientific Cat# A32744, RRID:AB_2762826)
Curator: @scibot
SciCrunch record: RRID:AB_2762826
RRID:AB_371426
DOI: 10.1016/j.cmet.2025.08.003
Resource: (GeneTex Cat# GTX26673, RRID:AB_371426)
Curator: @scibot
SciCrunch record: RRID:AB_371426
RRID:AB_1904067
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Cell Signaling Technology Cat# 5704, RRID:AB_1904067)
Curator: @scibot
SciCrunch record: RRID:AB_1904067
RRID:AB_2650557
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Cell Signaling Technology Cat# 13607, RRID:AB_2650557)
Curator: @scibot
SciCrunch record: RRID:AB_2650557
RRID:AB_3662694
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Abcam Cat# ab206461, RRID:AB_3662694)
Curator: @scibot
SciCrunch record: RRID:AB_3662694
RRID:AB_2262872
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Proteintech Cat# 13755-1-AP, RRID:AB_2262872)
Curator: @scibot
SciCrunch record: RRID:AB_2262872
RRID:AB_2716282
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Abcam Cat# ab190195, RRID:AB_2716282)
Curator: @scibot
SciCrunch record: RRID:AB_2716282
RRID:AB_2210545
DOI: 10.1016/j.cmet.2025.08.003
Resource: (Cell Signaling Technology Cat# 2146, RRID:AB_2210545)
Curator: @scibot
SciCrunch record: RRID:AB_2210545
RRID:SCR_014199
DOI: 10.1016/j.celrep.2025.116240
Resource: Adobe Photoshop (RRID:SCR_014199)
Curator: @scibot
SciCrunch record: RRID:SCR_014199
RRID:AB_2633281
DOI: 10.1016/j.celrep.2025.116240
Resource: (Thermo Fisher Scientific Cat# A32732, RRID:AB_2633281)
Curator: @scibot
SciCrunch record: RRID:AB_2633281
RRID:AB_2633276
DOI: 10.1016/j.celrep.2025.116240
Resource: (Thermo Fisher Scientific Cat# A32727, RRID:AB_2633276)
Curator: @scibot
SciCrunch record: RRID:AB_2633276
RRID:SCR_002798
DOI: 10.1016/j.celrep.2025.116240
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:SCR_003070
DOI: 10.1016/j.celrep.2025.116240
Resource: ImageJ (RRID:SCR_003070)
Curator: @scibot
SciCrunch record: RRID:SCR_003070
RRID:AB_331535
DOI: 10.1016/j.celrep.2025.116240
Resource: (Cell Signaling Technology Cat# 9701, RRID:AB_331535)
Curator: @scibot
SciCrunch record: RRID:AB_331535
RRID:AB_2721060
DOI: 10.1016/j.celrep.2025.116240
Resource: (Cell Signaling Technology Cat# 9578, RRID:AB_2721060)
Curator: @scibot
SciCrunch record: RRID:AB_2721060
RRID:AB_528263
DOI: 10.1016/j.celrep.2025.116240
Resource: (DSHB Cat# p1D9 (anti-rho1), RRID:AB_528263)
Curator: @scibot
SciCrunch record: RRID:AB_528263
RRID:AB_528116
DOI: 10.1016/j.celrep.2025.116240
Resource: (DSHB Cat# 5d3, RRID:AB_528116)
Curator: @scibot
SciCrunch record: RRID:AB_528116
RRID:AB_579779
DOI: 10.1016/j.celrep.2025.116240
Resource: (DSHB Cat# 5H7B11, RRID:AB_579779)
Curator: @scibot
SciCrunch record: RRID:AB_579779
RRID:AB_579780
DOI: 10.1016/j.celrep.2025.116240
Resource: (DSHB Cat# 3A6B4, RRID:AB_579780)
Curator: @scibot
SciCrunch record: RRID:AB_579780
RRID:AB_528100
DOI: 10.1016/j.celrep.2025.116240
Resource: (DSHB Cat# 40-1a, RRID:AB_528100)
Curator: @scibot
SciCrunch record: RRID:AB_528100
AB_10622186
DOI: 10.1016/j.celrep.2025.116234
Resource: (Cell Signaling Technology Cat# 5831, RRID:AB_10622186)
Curator: @scibot
SciCrunch record: RRID:AB_10622186
RRID:AB_330337
DOI: 10.1016/j.celrep.2025.116234
Resource: (Cell Signaling Technology Cat# 3661, RRID:AB_330337)
Curator: @scibot
SciCrunch record: RRID:AB_330337
AB_944418
DOI: 10.1016/j.celrep.2025.116234
Resource: (Abcam Cat# ab62352, RRID:AB_944418)
Curator: @scibot
SciCrunch record: RRID:AB_944418
RRID:AB_1121153
DOI: 10.1016/j.celrep.2025.116234
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_1121153
RRID:AB_2227873
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 14418-1-AP, RRID:AB_2227873)
Curator: @scibot
SciCrunch record: RRID:AB_2227873
RRID:AB_10611343
DOI: 10.1016/j.celrep.2025.116234
Resource: (Santa Cruz Biotechnology Cat# sc-271387, RRID:AB_10611343)
Curator: @scibot
SciCrunch record: RRID:AB_10611343
RRID:AB_2210206
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 11224-1-AP, RRID:AB_2210206)
Curator: @scibot
SciCrunch record: RRID:AB_2210206
RRID:AB_2207530
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 11802-1-AP, RRID:AB_2207530)
Curator: @scibot
SciCrunch record: RRID:AB_2207530
RRID:AB_2107436
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 60004-1-Ig, RRID:AB_2107436)
Curator: @scibot
SciCrunch record: RRID:AB_2107436
RRID:AB_3072753
DOI: 10.1016/j.celrep.2025.116234
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3072753
RRID:AB_2904546
DOI: 10.1016/j.celrep.2025.116234
Resource: (Santa Cruz Biotechnology Cat# sc-377302, RRID:AB_2904546)
Curator: @scibot
SciCrunch record: RRID:AB_2904546
RRID:AB_10949320
DOI: 10.1016/j.celrep.2025.116234
Resource: (Cell Signaling Technology Cat# 5759, RRID:AB_10949320)
Curator: @scibot
SciCrunch record: RRID:AB_10949320
RRID:AB_3073732
DOI: 10.1016/j.celrep.2025.116234
Resource: (Abcam Cat# ab231174, RRID:AB_3073732)
Curator: @scibot
SciCrunch record: RRID:AB_3073732
RRID:AB_2880661
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 26864-1-AP, RRID:AB_2880661)
Curator: @scibot
SciCrunch record: RRID:AB_2880661
RRID:AB_2878756
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 20886-1-AP, RRID:AB_2878756)
Curator: @scibot
SciCrunch record: RRID:AB_2878756
RRID:AB_3070665
DOI: 10.1016/j.celrep.2025.116234
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3070665
RRID:AB_2093525
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 12957-1-AP, RRID:AB_2093525)
Curator: @scibot
SciCrunch record: RRID:AB_2093525
RRID:AB_3070618
DOI: 10.1016/j.celrep.2025.116234
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3070618
RRID:AB_331250
DOI: 10.1016/j.celrep.2025.116234
Resource: (Cell Signaling Technology Cat# 2535, RRID:AB_331250)
Curator: @scibot
SciCrunch record: RRID:AB_331250
RRID:AB_2266320
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 12186-1-AP, RRID:AB_2266320)
Curator: @scibot
SciCrunch record: RRID:AB_2266320
RRID:AB_2770351
DOI: 10.1016/j.celrep.2025.116234
Resource: (ABclonal Cat# A9880, RRID:AB_2770351)
Curator: @scibot
SciCrunch record: RRID:AB_2770351
RRID:AB_2782956
DOI: 10.1016/j.celrep.2025.116234
Resource: (Proteintech Cat# 16396-1-AP, RRID:AB_2782956)
Curator: @scibot
SciCrunch record: RRID:AB_2782956
RRID:AB_3073494
DOI: 10.1016/j.celrep.2025.116234
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3073494
RRID:SCR_008452
DOI: 10.1016/j.celrep.2025.116216
Resource: Thermo Fisher Scientific (RRID:SCR_008452)
Curator: @scibot
SciCrunch record: RRID:SCR_008452
RRID:SCR:008452
DOI: 10.1016/j.celrep.2025.116216
Resource: Thermo Fisher Scientific (RRID:SCR_008452)
Curator: @scibot
SciCrunch record: RRID:SCR_008452
RRID:SCR_001326
DOI: 10.1016/j.celrep.2025.116216
Resource: Roche (RRID:SCR_001326)
Curator: @scibot
SciCrunch record: RRID:SCR_001326
RRID:SCR_003756
DOI: 10.1016/j.celrep.2025.116216
Resource: Oxford Nanopore Technologies (RRID:SCR_003756)
Curator: @scibot
SciCrunch record: RRID:SCR_003756
RRID:SCR_008539
DOI: 10.1016/j.celrep.2025.116216
Resource: QIAGEN (RRID:SCR_008539)
Curator: @scibot
SciCrunch record: RRID:SCR_008539
RRID:AB_2534096
DOI: 10.1016/j.celrep.2025.116213
Resource: (Thermo Fisher Scientific Cat# A-11039, RRID:AB_2534096)
Curator: @scibot
SciCrunch record: RRID:AB_2534096
RRID:SCR_002798
DOI: 10.1016/j.celrep.2025.116213
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:IMSR_JAX:006148
DOI: 10.1016/j.celrep.2025.116213
Resource: (IMSR Cat# JAX_006148,RRID:IMSR_JAX:006148)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:006148
RRID:AB_2535792
DOI: 10.1016/j.celrep.2025.116213
Resource: (Molecular Probes Cat# A-21206, RRID:AB_2535792)
Curator: @scibot
SciCrunch record: RRID:AB_2535792
RRID:AB_2737414
DOI: 10.1016/j.celrep.2025.116213
Resource: (Abcam Cat# ab190289, RRID:AB_2737414)
Curator: @scibot
SciCrunch record: RRID:AB_2737414
RRID:AB_10000240
DOI: 10.1016/j.celrep.2025.116213
Resource: (Aves Labs Cat# GFP-1020, RRID:AB_10000240)
Curator: @scibot
SciCrunch record: RRID:AB_10000240
RRID:AB_2536183
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# A-31573, RRID:AB_2536183)
Curator: @scibot
SciCrunch record: RRID:AB_2536183
RRID:AB_144696
DOI: 10.1016/j.cell.2025.08.013
Resource: (Molecular Probes Cat# A-11031, RRID:AB_144696)
Curator: @scibot
SciCrunch record: RRID:AB_144696
RRID:AB_2535804
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# A-21235, RRID:AB_2535804)
Curator: @scibot
SciCrunch record: RRID:AB_2535804
RRID:AB_141637
DOI: 10.1016/j.cell.2025.08.013
Resource: (Molecular Probes Cat# A-21207, RRID:AB_141637)
Curator: @scibot
SciCrunch record: RRID:AB_141637
RRID:AB_2762840
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# A32849, RRID:AB_2762840)
Curator: @scibot
SciCrunch record: RRID:AB_2762840
RRID:AB_467726
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 14-5921-81, RRID:AB_467726)
Curator: @scibot
SciCrunch record: RRID:AB_467726
RRID:AB_795296
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_795296
RRID:AB_2807426
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# PA5-95624, RRID:AB_2807426)
Curator: @scibot
SciCrunch record: RRID:AB_2807426
RRID:AB_2133570
DOI: 10.1016/j.cell.2025.08.013
Resource: (DSHB Cat# TROMA-III, RRID:AB_2133570)
Curator: @scibot
SciCrunch record: RRID:AB_2133570
RRID:AB_162543
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# A-31572, RRID:AB_162543)
Curator: @scibot
SciCrunch record: RRID:AB_162543
RRID:AB_2809609
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# MA5-32328, RRID:AB_2809609)
Curator: @scibot
SciCrunch record: RRID:AB_2809609
RRID:AB_2721140
DOI: 10.1016/j.cell.2025.08.013
Resource: (Proteintech Cat# 25747-1-AP, RRID:AB_2721140)
Curator: @scibot
SciCrunch record: RRID:AB_2721140
RRID:AB_302234
DOI: 10.1016/j.cell.2025.08.013
Resource: (Abcam Cat# ab16066, RRID:AB_302234)
Curator: @scibot
SciCrunch record: RRID:AB_302234
RRID:AB_2642323
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2642323
RRID:AB_2912756
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2912756
RRID:AB_531826
DOI: 10.1016/j.cell.2025.08.013
Resource: (DSHB Cat# TROMA-I, RRID:AB_531826)
Curator: @scibot
SciCrunch record: RRID:AB_531826
RRID:AB_2302075
DOI: 10.1016/j.cell.2025.08.013
Resource: (Novus Cat# NBP1-21502, RRID:AB_2302075)
Curator: @scibot
SciCrunch record: RRID:AB_2302075
RRID:AB_2799771
DOI: 10.1016/j.cell.2025.08.013
Resource: (Cell Signaling Technology Cat# 70076, RRID:AB_2799771)
Curator: @scibot
SciCrunch record: RRID:AB_2799771
RRID:AB_86623
DOI: 10.1016/j.cell.2025.08.013
Resource: (Innovative Research Cat# 13-6800, RRID:AB_86623)
Curator: @scibot
SciCrunch record: RRID:AB_86623
RRID:AB_2938669
DOI: 10.1016/j.cell.2025.08.013
Resource: (Cell Signaling Technology Cat# 71299, RRID:AB_2938669)
Curator: @scibot
SciCrunch record: RRID:AB_2938669
RRID:AB_10979792
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# MA5-11447, RRID:AB_10979792)
Curator: @scibot
SciCrunch record: RRID:AB_10979792
RRID:AB_466028
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 12-5898-82, RRID:AB_466028)
Curator: @scibot
SciCrunch record: RRID:AB_466028
RRID:AB_394657
DOI: 10.1016/j.cell.2025.08.013
Resource: (BD Biosciences Cat# 553142, RRID:AB_394657)
Curator: @scibot
SciCrunch record: RRID:AB_394657
RRID:AB_2716934
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 14-1631-82, RRID:AB_2716934)
Curator: @scibot
SciCrunch record: RRID:AB_2716934
RRID:AB_726024
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_726024
RRID:AB_3201954
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3201954
RRID:AB_2735088
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2735088
RRID:AB_528961
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 116218, RRID:AB_528961)
Curator: @scibot
SciCrunch record: RRID:AB_528961
RRID:AB_891361
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 17-1231-82, RRID:AB_891361)
Curator: @scibot
SciCrunch record: RRID:AB_891361
RRID:AB_1107002
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 45-0451-82, RRID:AB_1107002)
Curator: @scibot
SciCrunch record: RRID:AB_1107002
RRID:AB_469392
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 17-0451-82, RRID:AB_469392)
Curator: @scibot
SciCrunch record: RRID:AB_469392
RRID:AB_2815160
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2815160
RRID:AB_312753
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 100714, RRID:AB_312753)
Curator: @scibot
SciCrunch record: RRID:AB_312753
RRID:AB_830787
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 103030, RRID:AB_830787)
Curator: @scibot
SciCrunch record: RRID:AB_830787
RRID:AB_2573968
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2573968
RRID:AB_893477
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 123118, RRID:AB_893477)
Curator: @scibot
SciCrunch record: RRID:AB_893477
RRID:AB_10643867
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 128025, RRID:AB_10643867)
Curator: @scibot
SciCrunch record: RRID:AB_10643867
RRID:AB_2242784
DOI: 10.1016/j.cell.2025.08.013
Resource: (BioLegend Cat# 100222, RRID:AB_2242784)
Curator: @scibot
SciCrunch record: RRID:AB_2242784
RRID:AB_2717171
DOI: 10.1016/j.cell.2025.08.013
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2717171
RRID:AB_1548783
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 47-5321-82, RRID:AB_1548783)
Curator: @scibot
SciCrunch record: RRID:AB_1548783
RRID:AB_2716923
DOI: 10.1016/j.cell.2025.08.013
Resource: (Thermo Fisher Scientific Cat# 12-1631-80, RRID:AB_2716923)
Curator: @scibot
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DOI: 10.1016/j.scr.2025.103821
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Build Small Internal Tools
need elaboration
summaries of what worked, not the nuanced landscape of the problem
important
Being inactiveDummy (0: Being employed/unemployed or 1: Being inactive)Employed, unemployed or inactive (individual)Dummy (0 or 1)4
Kombination löschen
Individual is unemployed, employed at a large firm or employed at a small firm at time tDummy (1: Individual is unemployed, 2 if he is employed at a large firm, and 3 if he is employed at a small firm at time t)Employed, unemployed or inactive (individual)Dummy (0 or 1)16Individual is unemployed, employed at a large firm or employed at a small firm at time t+2 (the last year in each panel)Dummy (1: Individual is unemployed, 2 if he is employed at a large firm, and 3 if he is employed at a small firm at time t + 2)Employed, unemployed or inactive (individual)Dummy (0 or 1), interaction20Job to non-employmentDummy (Current job: 0, New job: 1, Nonemployment: 2)Employed, unemployed or inactive (individual)Dummy (0 or 1)14
Anschauen um welche Effekte es hier genau geht
Unit gap, overtime hour
Alle Zeilen die diesen Wert haben rausschmeißen
Being unemployedDummy (0: Being occupied/inactive or 1: Being unemployed)Employed, unemployed or inactive (individual)Dummy (0 or 1)4
Kombination löschen
Transition to a larger size establishmentDummy (Current job: 0, New job (larger size establishment): 1, Nonemployment: 2)Employed, unemployed or inactive (individual)Dummy (0 or 1)14
Anschauen um welche Effekte es hier genau geht
Differences and logEmployment (number of persons)Standard hours, log and differences
Checken:
dependent_variable_name_category == “Employment (growth)”
Für alle Variablen ansehen was genau gemessen wird, + Formeln heraussuchen. Im Idealfall können wir alles mit Employment per person kombinieren.
Standard workweek, log
Anschaune ob es vergleichbar ist
Job growth rate (in %)
Sind das besetze Jobs oder ausgeschriebene JObs?
Job-Job-TransitionDummy (Current job: 0, New job: 1, Nonemployment: 2)OtherDummy (0 or 1)28Staying at jobDummy (Current job: 0, New job: 1, Nonemployment: 2)OtherDummy (0 or 1)14
Nochmal genauer anschauen
n this regard— flow as “the impulse to go onwatching”—Williams’s concept is neither a fascinatingbut outmoded critical tool, nor a broad brush to ap-ply to any cultural incongruities, but still a compellingmodel with which we can analyze how communica-tions systems structure societies (and vice versa).This content downloaded from 76.120.235.4 on Sat, 07 Aug 2021 20:30:25 UTC All use subject to https://about.jstor.org/terms
And I believe that this will be true and long as watchable media is still viable. People will always crave more and the "Impluse to go on watching" will always live in humans as it is their nature. The construction of the flow theory in television is not only true in media but in all of life. Humans are constantly questioning and wanting answers which is why this model works so well.
compelling metaphorof the ideological power of television
I don't think that there is an ideological metaphor for the power of television. I think that any media consumption on a screen is very powerful, especially in the modern age we have seen it tear families and people apart.
Note: This response was posted by the corresponding author to Review Commons. The content has not been altered except for formatting.
Learn more at Review Commons
Manuscript number: RC-2025-03064
Corresponding author(s): Massimo, Hilliard; Sean, Coakley
We are grateful to the reviewers for taking time to review our manuscript and for providing such clear, insightful and actionable suggestions. The consensus between 4 independent reviewers that this story is of general interest to cell biologists, neurobiologists and clinical researchers is remarkable. In addition to our mechanistic insights into the regulation of GTPase activity, we think that the experimental systems we have developed will be of great value to study how GTPases their associated GAPs and GEFs function to maintain the nervous system, especially due to the demonstrated conservation of these molecules. We believe that our data provides a powerful and tractable model to study such molecules in a physiological context.
We agree with the reviewers' concerns and propose the following plan below to address them.
Reviewer #1(Evidence, reproducibility and clarity (Required)):
__Summary Stability of the PLM axon in C. elegans is maintained through interactions with the epidermis. Previous studies by this group found that loss of the tbc-10 Rab GTPase Activating Protein strongly enhanced the PLM axon break phenotype of unc-70/beta-spectrin mutants. TBC-10 is a GAP for RAB-35 and thus loss of rab-35 suppresses the tbc-10 phenotype. Of the two RAB-35 GEFs, loss of RME-4 partially suppressed the tbc-10 phenotype and FLCN-1 was not involved suggesting that there may be an additional GEF involved. Here Bonacossa-Pereira et al identify a point mutation in agef-1a (vd92) as a suppressor of tbc-10 PLM axon break phenotype (all experiments also have a dominant allele of unc-70) and confirm that point mutation is causative by replicating the mutation via genome editing (vd123). Rescue experiments demonstrate that AGEF-1a is required in the epidermis and not PLM as previous demonstrated with tbc-10 and unc-70. Rescue is dependent on a functional SEC7/GEF activity. AGEF-1a is a functional ortholog to human BIG2/ArfGEF2 as its expression fully rescues tbc-10. AGEF-1a functions upstream of RAB-35 as expression of activated RAB-35 can suppress loss of agef-1. AGEF-1a functions in parallel to RME-4 as the double has stronger suppression of tbc-10. AGEF-1a is an ARF GEF, however it functions independently of ARF-1.2 as loss of arf-1.2 does not suppress tbc-10. They demonstrate that AGEF-1a interacts with RAB-35 through colocalization experiments suggesting that AGEF-1a could directly activate RAB-35. Finally, they demonstrate that AGEF-1a regulates the localization of the LET-805 epidermal attached complex component as it restores localization in a tbc-10 mutant.
Major comments
The manuscript is well written and easy to understand.
The experiments are well done and controlled.
I enjoyed reading this paper. However...
Some of the claims are not supported by the data.__
__1) The claim that AGEF-1a directly interacts with RAB-35 was not demonstrated. The evidence provided to support a direct interaction are colocalization experiments in Figure 3. AGEF-1a does partially colocalize with RAB-35 in the epidermis. However, colocalization does not indicate a physical interaction direct or indirect. A simple fix would be to change the claim to that they partially colocalize. Optional, a physical interaction could be done with the split-GFP since they already have the AGEF-1 strain or they could perform co-IP experiments, though neither of those are proof of direct interactions.
__
We agree that the biochemical co-IP experiment could provide some answers, however, using a full length AGEF-1a would not only represent a significant technical challenge but will also not prove a direct interaction in a physiological context. To overcome this limitation, and to directly test their interaction in vivo, we propose to use a split-GFP approach as suggested by the reviewer. In this experiment, we will generate an endogenously tagged GFP1-10::rab-35 allele and combine it with the previously generated and available tagged agef-1a::GFP11x7. If AGEF-1 and RAB-35 closely interact, we should observe the reconstitution of full length GFP. It is possible that the endogenously tagged versions only provide a very weak GFP signal that will be difficult to detect. As an alternative approach, we will generate the same tagged molecules as overexpressed transgenes under epidermal-specific promoters (such as Pdpy-7). If the results are still negative, we agree to temper our claim that these molecules physically interact and rephrase the manuscript to reflect the new data.
2) The claim that AGEF-1a facilitates RAB-35 activation is not supported. While it is likely that AGEF-1a facilitates RAB-35 activation based on the epistasis experiments as well as studies in mammalian cells there were no experiments to demonstrate that modulating AGEF-1a activity resulted in a change in RAB-35 activity. I would suggest tempering this claim to something along the line that the data are consistent with AGEF-1a regulating RAB-35 activity as shown in mammalian cells. An optional experiment would be to look at the colocalization of RAB-35 with a known effector in wild type and agef-1(vd92) with the expectation that there would be a higher level of colocalization in agef-1 mutants. Effector pull-down experiments or perhaps a cell based GEF assay could be used (PMID: 35196081).
We welcome this suggestion and acknowledge the limitations of these experiments. While we might be able to determine if AGEF-1 and RAB-35 physically interact in vivo with the experiments proposed above, screening for the relevant rab-35 effector in this context and/or doing effector pull-down/cell based GEF assays would be a significant technical challenge. We propose to temper our claim as suggested.
3) The claim that AGEF-1a functions independently of ARF-1.2 is not well supported. The fact that the ARF-1.2 mutant does not suppress tbc-10 suggests that ARF-1.2 may not be involved but does not eliminate the possibility that ARF-1.2 functions redundantly with ARF-5 or WARF-1/ARF-1.1. This can be resolved by toning down the claim. Alternatively, this can be tested by RNAi of arf-5 and warf-1 in tbc-10 and arf-1.2; tbc-10 mutants.
We agree that warf-1 and arf-5 could be functioning redundantly with arf-1.2. We have attempted to generate an AID::arf-5 allele to test the effect of cell-specific degradation, but homozygous AID::arf-5 animals were lethal. We have not yet examined warf-1. We believe the best way to test these two molecules is through RNAi knockdown, and we propose to do this experiment and adjust our interpretation and discussion according to the new data.
Minor comments
Figure 1C the CRISPR generated allele (vd123) is referred to as [S784L] and then in 1E vd92 is referred to as [S784L]. Perhaps it would be clearer if the allele name was used instead of the amino acid change.
We will reformat the manuscript to include the allele names instead of amino acid change.
Page 6 "We reasoned that if the S784L mutation we isolated causes a similar loss of the GTPase activation function, then SKIN::AGEF-1a[E608K] would not have the capacity to restore the rate of PLM axon breaks to background levels in agef-1[S784L]; tbc-10; vdSi2 animals." It was unclear to me whether you were testing if the S784L mutation could be disrupting a GEF independent function or might disrupt the nucleotide exchange activity as might be tested in a biochemical assay. There are many reasons this change could cause a loss of function phenotype (ie. Improper folding, mislocalization, etc.). The most clear explanation would be that you were testing if GEF function was required for rescue rather than testing if the S784L mutation disrupted GEF activity.
Indeed, this experiment reveals that reducing the activation of the AGEF-1 target phenocopies the effect of S784L and does not further enhance the effect of S784L. However, it does not answer if, specifically, the GEF function is affected by S784L. We propose to rewrite the quoted sentence as follows: "We asked whether the GEF function is required for axonal damage. If that is the case, then SKIN::AGEF-1a[E608K] overexpression should phenocopy the effect of AGEF-1a[S784L]."
Page 13. It was unclear how testing if AGEF-1, RME-4, ARF-5 and RAB-35 form complexes in vivo (I assume you are suggesting colocalize based on figure 3 interpretation) would resolve how AGEF-1 was regulating RAB-35.
We apologize that our phrasing was not clear. We will rewrite this section to better reflect the following idea. Given literature data showing an allosteric interaction between RME-4/DENND1 and ARF-5/Arf5, and our own data showing that AGEF-1 regulates RAB-35, we believe these molecules could form a complex. Considering that we do not have data to support this notion, mostly due to the inability to test the effect of ARF-5, we will present this possibility in the discussion section.
__**Cross-commenting**
I agree with the comments made by the other reviewers and I stand by my own as well. I will echo that it is important to know the nature of their agef-1 allele.
Reviewer #1 (Significance (Required)):
Bonacossa-Pereira et al identify AGEF-1 as a regulator of axon integrity that functions in a pathway with RAB-35 in the epidermis is an exciting finding. As pointed out in the discussion, mutations in the human ortholog cause neurodevelopmental defects which leads to obvious characterization of BIG2/ArfGEF2 in neurons while this study indicates that this protein can have cell non-autonomous roles in regulating neurons. These findings could have important implications for understanding the etiology of these defects that would be of interest to neurobiologists and clinical researchers.
The finding of this paper would also be of interest to cell biologists and particularly those studying the roles of Rab and Arf GTPases in membrane trafficking, such as myself. The idea that AGEF-1 might function as a Rab35 GEF is provocative and would generate a lot of interest and skepticism from the field. However, there is no data to support that AGEF-1 would be a direct regulator of Rab35 over the previously demonstrated cross regulation of Rab35 by Arf GTPases. Therefore, it would be fine to speculate in the discussion a direct interaction, but I would refrain from suggesting this as a model and elsewhere in the manuscript.
__
Although we agree that current evidence is not sufficient to support the model where AGEF-1 is a direct regulator of RAB-35, our data points to the direction where there is an important genetic relationship between these molecules in a physiological context in a living animal, with a defined phenotype relevant to the nervous system maintenance. We think that the proposed revision experiments will provide a better understanding of how AGEF-1 functions with RAB-35 and we agree with the suggestion to rephrase our manuscript to reflect the limitations of our results.
__Reviewer #2 (Evidence, reproducibility and clarity (Required)):
This interesting manuscript reports the outcome of a fruitful C. elegans genetic screen with a complex but clever design. Through it, the authors identify AGEF-1 as a GEF that likely regulates the active state of the GTPase RAB-35 in the skin to protect touch receptor axons from mechanical breakage.
Major points: 1. Based on localization experiments, the authors claim "AGEF-1a interacts with RAB-35 in the epidermis" (Results heading) and state "these data demonstrate that AGEF-1a interacts with a subset of RAB-35 molecules in the epidermis." In general, localization studies cannot be used to conclude physical interaction (with some exceptions such as single-molecule kinetics). In this case, the data in my view do not even make a compelling argument for co-localization. There is a lot of AGEF-1 and RAB-35 signal everywhere and it may not be meaningful that the signals sometimes overlap. A more quantitative approach with controls would be needed to conclude meaningful co-localization. Importantly, this would still not demonstrate interaction.__
We thank the reviewer for the comment. Indeed, co-localization does prove a physical interaction, and we appreciate the concern about our imaging data not making a compelling argument. To address this notion, we plan to perform an experiment using a more robust, quantitative and physiologically relevant strategy. We will generate an endogenously tagged mScarlet3::rab-35 allele for precise endogenous localization. In addition, as a positive control, we will generate an endogenous rme-4::GFP11x7 allele to cell-specifically demonstrate the level of colocalization of RME-4 with mScarlet3::RAB-35 within the epidermis. To address the possible interaction between AGEF-1a and RAB-35 we will leverage a split-GFP approach to assess their interaction in vivo, in the context relevant to the phenotypes we observed (see reply to reviewer #1 point 1).
__2. The effect of the AGEF-1(S784L) mutation is not clear to me. Naively, as the S784L mutation lies in the auto-inhibitory domain, I would have expected AGEF-1 to become constitutively active, not inactive as the authors seem to suggest. Is the idea that it is constitutively auto-inhibited? The main evidence for a loss of function effect seems to be that a putative dominant negative mutation AGEF-1(E608K) does not further supress axon breakage when co-expressed in trans to AGEF(S784L), but in my view this only shows that, once the defect is suppressed, it cannot be suppressed any further. Defining the nature of the S784L allele is important. Some suggestions, although the authors may come up with different approaches: use of an inducible or cell-specific depletion system like AID/TIR1, Cre/lox, or FLP/FRT to circumvent the lethality of agef-1(0) and reveal what a true loss-of-function looks like; testing if deletion of the auto-inhibitory domain phenocopies S784L to test if this mutation impairs autoinhibition.
__
This is an very insightful comment. To address this point, we will follow the reviewer's suggestion and deplete AGEF-1 cell-specifically in the epidermis using the auxin-inducible degron system. Specifically, we will generate an agef-1::AID allele to degrade this molecule in a spatially and temporally controlled fashion, which will allow to circumvent the lethality of agef-1(0) and determine whether the S784L allele mimics the depletion of AGEF-1.
Although it would be interesting to further dissect the effect of this mutation on AGEF-1 activity, we believe that this falls outside of the scope of this manuscript. As an alternative, we propose to elaborate more in the discussion the implications of the possible roles for the S784L mutation to clarify our model of its function. Our data supports a model in which this mutation reduces AGEF-1 function leading to a reduction in the activity of its downstream target GTPases. It is possible that this is due to AGEF-1 becoming constitutively autoinhibited, or that this mutation affects the structure of the molecule in a way that it reduces its affinity towards its downstream effectors.
Minor points: 1. I am not able to see the "vesicle-like structures with a clear luminal space" or RAB-35 being "notably enriched at the membrane near the epidermal furrow" in Fig. 3. The "3D surface rendering" in Fig. 3e is grossly oversampled and should not be included.
We will rectify this section and include new super-resolved images using Airyscan confocal microscopy. We hope these will yield a better-quality representation of these concepts. __ 2. As the agef-1a isoform is specifically referenced throughout, please describe the different agef-1 isoforms somewhere to save readers from having to look this up.__
Yes, we will include a description of the isoforms. In C. elegans there are two: AGEF-1a which has been confirmed by cDNA and AGEF-1b which is predicted and partially confirmed by cDNA. The mutation we isolated exclusively affects AGEF-1a.
3. The authors include an interesting speculation in the Discussion: "Future investigations of BIG2-associated neurological disorders should consider... hyper-activity of BIG2 as a driver of neuropathology." If the authors have the tools to test the effect of hyperactive BIG2 in this system, it could be an exciting addition.
This is an exciting idea that we would like to keep in the Discussion. The biology of BIG2 activity regulation is a nascent field of research and we believe that to accurately generate and characterise a hyperactive BIG2 would be beyond the scope of this manuscript.
__ On a personal note, since GEFs act oppositely to GTPase Activating Proteins (GAPs), I had to stop and re-read carefully whenever the authors referred to a GEF "activating" a GTPase. I understand their meaning (i.e., putting the GTPase in its active GTP-bound state, not activating its GTPase function) but I wanted to point out this potential confusion in case there is a way to better define terms in the Introduction or change word choice. I realize this may be a standard jargon in the field.__
Indeed, this is confusing nomenclature and a difficult concept to deliver in an accurate and succinct manner. We propose to include a clearer, more didactic explanation of their function. In a simple explanation, GTPases perform cellular functions when bound to GTP. GAPs terminate GTPase activity by catalysing GTP hydrolysis, generating GDP. GEFs initiate GTPase activity by catalysing the release of GDP and allowing GTP binding.
__ Please check the correct nomenclature for CRISPR/Cas9.__
We will rectify where appropriate.
__6. p.7 "these molecules act in synergy", consider replacing with "redundantly".
__
We will rectify where appropriate.
__Reviewer #2 (Significance (Required)):
The significance of this story is to show that GEF-GTPases pairing can be highly context-dependent. Previous studies have identified GEFs that pair with RAB-35 and GTPases that pair with AGEF-1, but the authors find that these factors have at best a modest role in the context of skin-axon interactions. Instead, the authors suggest a novel GTPase-GEF pairing of RAB-35 with AGEF-1 and provide evidence that this relationship is conserved in the human homolog of AGEF-1. These results suggest that GTPase-GEF pairings depend not only on chemical affinity but also cellular context.
The main strength of the study is its clever genetics. For the screen, the authors looked for suppressors of a synthetic defect in axon integrity caused in part by elevated activity of RAB-35 due to loss of its GAP TBC-10. It is satisfying that this screen isolated a mutation in a GEF that in principle could counterbalance the loss of a GAP.
The main weakness of the study is the lack of direct evidence for an AGEF-1/RAB-35 interaction. While not necessary for publication, the inclusion of biochemical data to support the role of AGEF-1 as a GEF for RAB-35 and the effect of the S784L mutation on this activity would strongly elevate the study. The genetic data for this interaction are consistent with the model but not conclusive, and in my view the colocalization data are not compelling. Nevertheless this is a solid genetic story with a clever screen.__
__ __We appreciate the feedback and are grateful for the positive comments on the significance of our study. As explained in the significance section related to Reviewer 1, if we find evidence of a direct interaction between AGEF-1 and RAB-35 in the proposed new experiments, we will include it in the manuscript; alternatively, we will present it as a possibility in the discussion section, as suggested. We agree that a more nuanced understanding of the effect of the S784L is interesting and that our colocalization data can be improved, and we have proposed experiments to address these concerns.
__Reviewer #3 (Evidence, reproducibility and clarity (Required)):
This paper investigates the mechanism by which molecular pathways in the skin protect the processes of nerves that innervate them from damage. The authors previously showed that spectrin and the small GTPase RAB-35 act in the epidermis of C. elegans to protect mechanosensory axons from breaking. In this paper they used a suppression screen to identify another gene involved in this process, an ARF-GEF called AGEF-1. Partial loss-of-function mutations in agef-1 suppress the axon-breakage phenotype of spectrin mutations, and genetic experiments by the authors are consistent with the possibility that AGEF-1 could act directly as an exchange factor for RAB-35. Consistent with this model, they show that AGEF-1 and RAB-35 colocalise in the skin.
Major comments: The experiments in this paper are well-designed and well-controlled, and the interpretations of the results are all reasonable. On the other hand, I don't think the authors' hypothesis that AGEF-1 acts directly as an exchange factor for RAB-35, or that these two proteins directly interact, is definitively proven. This is not an issue of the authors overinterpreting their data--the paper is very carefully and thoughtfully written. However, the most interesting and counterintuitive finding--that an ARF-GEF could also be a RAB-GEF--might be strengthened with more experiments (for example, could they more directly show protein-protein interaction through co-IP or mass spec?).__
We thank the reviewer for the suggestion. We propose to further investigate the notion that AGEF-1a might be a direct interactor of RAB-35 using a split-GFP approach to assess whether these molecules closely interact, in vivo, in the physiological context that is relevant for the maintenance of the touch sensing neurons (please see reply to reviewer #1 major point 1 and reviewer #2 major point 1 for more details).
Minor comments: There are also two places where the fact that null mutations are lethal (for agef-1 and arf-5) prevented the authors from addressing the effect of agef-1 loss of function in the skin, and addressing whether ARF-5 could be an AGEF-1 target, respectively. In principle, they could have tried to make a CRISPR line in which these genes could be cell-specifically deleted in the skin (using a dpy-7-driven recombinase). I don't think either of these experiments are essential, but if it is feasible to make these lines it would tie up a couple of loose ends.
We agree to explore the roles of agef-1 and arf-5 loss-of-function. We propose to tissue-specifically degrade agef-1 using an auxin-inducible degradation strategy (please see reviewer #2 major point 2 reply for more details). For arf-5, we propose knocking-down its function using RNAi to overcome lethality (please see reviewer #1 major point 3 reply for more details).
__Reviewer #3 (Significance (Required)):
Overall I think this is an interesting paper on a topic of general interest. The most interesting finding is that an exchange factor for an ARF (a small GRPase involved in vesicle coating/uncoating) could also be an exchange factor for a RAB (a small GTPase involved in vesicle tethering). The evidence presented is suggestive and intriguing, though as noted above not completely definitive. In summary, I think it is an interesting paper in its current form, and anything it could do to more firmly establish a direct interaction between AGEF-1 and RAB-35 would increase its impact and importance.
__
We thank the reviewer for the positive evaluation of the significance of our study.
__ Reviewer #4 (Evidence, reproducibility and clarity (Required)):
Summary: In this study Bonacossa-Pereira et al. identify AGEF-1a, an Arf-GEF, as a factor that functions in the epidermis through RAB-35 to regulate axonal integrity of the PLM mechanosensory neurons in C. elegans. Specifically, epidermal attachment sites are regulated by these genes form the epidermis and compromising these attachment sites results in axonal degeneration. The study provides some evidence that that RAB-35 and AGEF-1 at least partially colocalize in the skin. Finally, the authors provide evidence that the human orthologue BIG2 is capable of functionally replacing AGEF-1a in C. elegans. Overall, the experiments are well designed and the paper is clear and succinct. The conclusions are supported by the findings and provide an important extension of the author's findings a few back, when they identified the role of rab-35 in mediating the epidermal-neuronal attachment sites.
Major comments: 1. AGEF-1/BIG2 are known to regulate other GTPases such as ARF-5 or ARF-2. The authors exclude a non-redundant function for ARF-2, but are unable to establish a role for ARF-5 because of the lethality associated with the mutation. Alternative approaches, such as cell specific knock out or knock down experiment. In addition, studies to test potentially physical interaction such as pull-down assays, co-IP experiments and FRET could be used to test whether AGEF-can bind RAB-35 or ARF-5.__
We thank the reviewer for this suggestion. We propose addressing these concerns using a tissue-specific degradation for AGEF-1a (please see reviewer #1 major point 2 for details). To establish a role for ARF-5 we propose to do an RNAi mediated knock-down to overcome lethality (please see reviewer #1 major point 3 for details). Finally, we plan to use a split-GFP approach to test the physical interaction between agef-1a and rab-35 in vivo (please see reviewer #1 major point 1 for details)
__ Phenotypic readout has been limited to only axon breaks. It may be interesting to also test other aspects such as axonal deformities including swellings and vesiculation in other parts of the nervous system. Moreover, behavioral or functional experiments such as response to gentle touch or synaptic integrity could be informative.__
We have not observed any obvious touch receptor neurons axonal phenotypes other than axonal breaks in these mutants, and we will include a statement that reflects this concept. In relation to the behavior, we have not tested it as the results will be difficult to interpret for two reasons: first, the breaks are not always bilateral and one neuron is sufficient to provide mechanical response; second, the mixed identity of the PLM neurite allows it to retain some function despite being severed. However, if deemed essential, we will perform these experiments.
__ Overexpression constructs such as SKIN::RAB-35[Q69L], SKIN::BIG2, SKIN::AGEF-1a[E608K] in extrachromosomal transgenes could lead to non-physiological localization or effects. Single copy expression using MosSCI or CRISPR insertions are generally considered better approaches (other than endogenous reporters) to provide accurate insights at the physiological level. While the authors tacitly acknowledge this by conducting the experiments in a rab-35 mutant background and very low transgene concentration, at the very least this caveat regarding the localization should be discussed.__
This is an important remark, and we appreciate the comment. We acknowledge that experiments using extrachromosomal arrays have inherent caveats, especially for localization studies. To address the RAB-35 localization concern we plan to repeat the localization studies using an endogenously tagged RAB-35 using CRISPR to overcome the possible artifacts caused by extrachromosomal array driven expression (please see reviewer #1 point 1 for more details). For the cell-specific rescues or dominant-negative constructs expression, we believe that using extrachromosomal arrays is sufficient, since this allows us to compare genetically identical transgenic vs non-transgenic siblings of independent lines. Moreover, given these constructs are already driven by a tissue-specific promoter that is inherently stronger than their respective endogenous promoters, even a single-copy insertion would have the same caveats.
__4. The study does not address clearly whether AGEF-1a acts in parallel to spectrin or upstream/ downstream to it. Epistasis experiments could help to figure out the signaling pathway involved.
__
Indeed, this is a concept that we need to communicate more clearly. We have data showing that a mutation in agef-1 does not cause axonal damage on its own, and that it has no effect on the axonal damage caused by unc-70 dominant negative mutation alone. We only detect an effect of agef-1 when tbc-10 is mutated together with unc-70 (Fig. 1a of manuscript). Together, these data indicate that agef-1 functions upstream of rab-35, thus acting in parallel to unc-70 (see schematic below) to ensure the mechanical stability of neuron epidermal attachment. We plan to include this data and the following schematic as a supplement to better convey the idea and discuss the results appropriately.
__ The finding that BIG2 rescues the mutant defect is an important finding and rightfully finds its place in the abstract. I wonder whether a reference to the human diseases caused by loss of BIG2 in the abstract and introduction would not increase interest/impact for the study, rather than burying this potentially interesting connection in the discussion.
__
We appreciate the reviewer's comment, and welcome the suggestion. We propose to include relevant background about BIG2-related human diseases in the abstract and introduction as suggested and expand the discussion regarding BIG2 mutations.
__Minor comments:
Some explanation about how mutating the autoinhibitory domain could impact the catalytic activity of a GEF might be helpful.__
*
We acknowledge that this notion was not well communicated. We propose to elaborate more about why we think a mutation in the autoinhibitory domain might be affecting the GEF activity and we plan to do further experiments to dissect how this might be happening. Please see reviewer #2 major point 2 for a more detailed explanation.
__ The paper refers to rme-4(b1001) as a null allele while wormbase refers to the same as a missense allele. It would be more accurate to refer rme-4(b1001) as a strong loss of function or putative null.__
We agree and will refer to b1001 as a strong loss-of-function.
__ The paper does not clearly discuss limitations of the hypomorphic agef-1[S784L] and that the observed phenotypes in this hypomorph might underestimate the complete role of AGEF-1a.__
We thank the reviewer for this suggestion. We propose to elaborate more on these limitations, especially considering the possible new results from the experiments suggested in reply to reviewer #2 major comment point 2.
__ In figure 1, where there really only one extrachromosomal transgenic line for some of the construct tested? __
For the Pdpy-7::AGEF-1a lines we have scored 3 transgenic lines (data not included) and only one yielded a full rescue. For all extrachromosomal lines presented, we tested 3 independent transgenic lines. For brevity, we only included the result for the positive rescues (1 for BIG2 and 1 for AGEF-1a), except for the Pmec-4 lines, of which none rescued the phenotype (data included in Table S2). We will update Table S2 to include all the lines tested.
__ The concentrations of transgenes vary in different transgenes. Is there a rationale behind this? __
Yes, we have attempted multiple concentrations of injections for each transgene and there was some variability for each construct injected, thus we only included the ones where we observed an effect. As mentioned in point 4 above, we will update Table S2 to include details of all lines tested.
__ In Fig.1e: I may be useful to also show the "WT" phenotype, i.e. the strong defects to get a visual comparison for the degree of rescue. __
We think this suggestion will help the readers. We will include this as a representative dashed line showing the WT phenotype.
__Reviewer #4 (Significance (Required)):
The study has identified AGEF-1a as a regulator of axonal maintenance, functioning to protect neurons against mechanical stress by acting through RAB-35. Additionally, this epidermal GEF, AGEF-1a is functionally conserved as its human orthologue BIG2 can replace AGEF-1a in C. elegans for axonal protection. Important points here are that the findings extend prior work by the authors of non-autonomous mechanism that regulates epidermal-neuronal attachment. In my humble opinion, the human disease connection, in particular with regard to the unexplained neuronal phenotypes in patients could be better developed in the manuscript. It may also increase impact/interest of a wonderful story that right now reads a bit 'wormy'.__
This is an important remark and we are grateful for the positive comments. The fact that human BIG2 is also conserved in C. elegans points to a fundamental role of this molecule in multicellular life, and it provides a tractable model to investigate the function of this molecule in a physiological context. We welcome the suggestion to elaborate more the connection with the unexplained neuronal phenotypes in patients and use a more accessible language to convey our findings to a wider audience.
N/A
__Reviewer #1 __
"...studies to test potentially physical interaction such as pull-down assays, co-IP experiments and FRET could be used to test whether AGEF-can bind RAB-35 or ARF-5."
While pull-down assays, co-IP and FRET would reveal whether AGEF-1a can form a complex with RAB-35, we believe that using a full length AGEF-1a would not only represent a significant technical challenge but will also not prove a direct interaction in a physiological context.
"...An optional experiment would be to look at the colocalization of RAB-35 with a known effector in wild type and agef-1(vd92) with the expectation that there would be a higher level of colocalization in agef-1 mutants. Effector pull-down experiments or perhaps a cell based GEF assay could be used (PMID: 35196081)."
We think that screening for the relevant rab-35 effector in this context and/or doing effector pull-down/cell based GEF assays would be a significant technical challenge. We propose to address this concern by tempering our claim as suggested by the reviewer.
"...It may be interesting to also test other aspects such as axonal deformities including swellings and vesiculation in other parts of the nervous system. Moreover, behavioral or functional experiments such as response to gentle touch or synaptic integrity could be informative."
As indicated above in major point 2 of reviewer 4, these are interesting ideas that might answer how the function of these neurons might be affected. However, in addition to the challenges indicated above, they will not provide further insights into how their integrity is maintained. We believe these will fall outside the scope of the manuscript, but if deemed essential we will perform behavioral analysis.
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Summary:
In this study Bonacossa-Pereira et al. identify AGEF-1a, an Arf-GEF, as a factor that functions in the epidermis through RAB-35 to regulate axonal integrity of the PLM mechanosensory neurons in C. elegans. Specifically, epidermal attachment sites are regulated by these genes form the epidermis and compromising these attachment sites results in axonal degeneration. The study provides some evidence that that RAB-35 and AGEF-1 at least partially colocalize in the skin. Finally, the authors provide evidence that the human orthologue BIG2 is capable of functionally replacing AGEF-1a in C. elegans. Overall, the experiments are well designed and the paper is clear and succinct. The conclusions are supported by the findings and provide an important extension of the author's findings a few back, when they identified the role of rab-35 in mediating the epidermal-neuronal attachment sites.
Major comments:
Minor comments:
The study has identified AGEF-1a as a regulator of axonal maintenance, functioning to protect neurons against mechanical stress by acting through RAB-35. Additionally, this epidermal GEF, AGEF-1a is functionally conserved as its human orthologue BIG2 can replace AGEF-1a in C. elegans for axonal protection. Important points here are that the findings extend prior work by the authors of non-autonomous mechanism that regulates epidermal-neuronal attachment. In my humble opinion, the human disease connection, in particular with regard to the unexplained neuronal phenotypes in patients could be better developed in the manuscript. It may also increase impact/interest of a wonderful story that right now reads a bit 'wormy'.
Note: This preprint has been reviewed by subject experts for Review Commons. Content has not been altered except for formatting.
Learn more at Review Commons
This paper investigates the mechanism by which molecular pathways in the skin protect the processes of nerves that innervate them from damage. The authors previously showed that spectrin and the small GTPase RAB-35 act in the epidermis of C. elegans to protect mechanosensory axons from breaking. In this paper they used a suppression screen to identify another gene involved in this process, an ARF-GEF called AGEF-1. Partial loss-of-function mutations in agef-1 suppress the axon-breakage phenotype of spectrin mutations, and genetic experiments by the authors are consistent with the possibility that AGEF-1 could act directly as an exchange factor for RAB-35. Consistent with this model, they show that AGEF-1 and RAB-35 colocalise in the skin.
Major comments: The experiments in this paper are well-designed and well-controlled, and the interpretations of the results are all reasonable. On the other hand, I don't think the authors' hypothesis that AGEF-1 acts directly as an exchange factor for RAB-35, or that these two proteins directly interact, is definitively proven. This is not an issue of the authors overinterpreting their data--the paper is very carefully and thoughtfully written. However, the most interesting and counterintuitive finding--that an ARF-GEF could also be a RAB-GEF--might be strengthened with more experiments (for example, could they more directly show protein-protein interaction through co-IP or mass spec?).
Minor comments: There are also two places where the fact that null mutations are lethal (for agef-1 and arf-5) prevented the authors from addressing the effect of agef-1 loss of function in the skin, and addressing whether ARF-5 could be an AGEF-1 target, respectively. In principle, they could have tried to make a CRISPR line in which these genes could be cell-specifically deleted in the skin (using a dpy-7-driven recombinase). I don't think either of these experiments are essential, but if it is feasible to make these lines it would tie up a couple of loose ends.
Overall I think this is an interesting paper on a topic of general interest. The most interesting finding is that an exchange factor for an ARF (a small GRPase involved in vesicle coating/uncoating) could also be an exchange factor for a RAB (a small GTPase involved in vesicle tethering). The evidence presented is suggestive and intriguing, though as noted above not completely definitive. In summary, I think it is an interesting paper in its current form, and anything it could do to more firmly establish a direct interaction between AGEF-1 and RAB-35 would increase its impact and importance.
Note: This preprint has been reviewed by subject experts for Review Commons. Content has not been altered except for formatting.
Learn more at Review Commons
This interesting manuscript reports the outcome of a fruitful C. elegans genetic screen with a complex but clever design. Through it, the authors identify AGEF-1 as a GEF that likely regulates the active state of the GTPase RAB-35 in the skin to protect touch receptor axons from mechanical breakage.
Major points:
Minor points:
The significance of this story is to show that GEF-GTPases pairing can be highly context-dependent. Previous studies have identified GEFs that pair with RAB-35 and GTPases that pair with AGEF-1, but the authors find that these factors have at best a modest role in the context of skin-axon interactions. Instead, the authors suggest a novel GTPase-GEF pairing of RAB-35 with AGEF-1 and provide evidence that this relationship is conserved in the human homolog of AGEF-1. These results suggest that GTPase-GEF pairings depend not only on chemical affinity but also cellular context.
The main strength of the study is its clever genetics. For the screen, the authors looked for suppressors of a synthetic defect in axon integrity caused in part by elevated activity of RAB-35 due to loss of its GAP TBC-10. It is satisfying that this screen isolated a mutation in a GEF that in principle could counterbalance the loss of a GAP.
The main weakness of the study is the lack of direct evidence for an AGEF-1/RAB-35 interaction. While not necessary for publication, the inclusion of biochemical data to support the role of AGEF-1 as a GEF for RAB-35 and the effect of the S784L mutation on this activity would strongly elevate the study. The genetic data for this interaction are consistent with the model but not conclusive, and in my view the colocalization data are not compelling. Nevertheless this is a solid genetic story with a clever screen.
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Summary
Stability of the PLM axon in C. elegans is maintained through interactions with the epidermis. Previous studies by this group found that loss of the tbc-10 Rab GTPase Activating Protein strongly enhanced the PLM axon break phenotype of unc-70/beta-spectrin mutants. TBC-10 is a GAP for RAB-35 and thus loss of rab-35 suppresses the tbc-10 phenotype. Of the two RAB-35 GEFs, loss of RME-4 partially suppressed the tbc-10 phenotype and FLCN-1 was not involved suggesting that there may be an additional GEF involved. Here Bonacossa-Pereira et al identify a point mutation in agef-1a (vd92) as a suppressor of tbc-10 PLM axon break phenotype (all experiments also have a dominant allele of unc-70) and confirm that point mutation is causative by replicating the mutation via genome editing (vd123). Rescue experiments demonstrate that AGEF-1a is required in the epidermis and not PLM as previous demonstrated with tbc-10 and unc-70. Rescue is dependent on a functional SEC7/GEF activity. AGEF-1a is a functional ortholog to human BIG2/ArfGEF2 as its expression fully rescues tbc-10. AGEF-1a functions upstream of RAB-35 as expression of activated RAB-35 can suppress loss of agef-1. AGEF-1a functions in parallel to RME-4 as the double has stronger suppression of tbc-10. AGEF-1a is an ARF GEF, however it functions independently of ARF-1.2 as loss of arf-1.2 does not suppress tbc-10. They demonstrate that AGEF-1a interacts with RAB-35 through colocalization experiments suggesting that AGEF-1a could directly activate RAB-35. Finally, they demonstrate that AGEF-1a regulates the localization of the LET-805 epidermal attached complex component as it restores localization in a tbc-10 mutant.
Major comments
The manuscript is well written and easy to understand.
The experiments are well done and controlled.
I enjoyed reading this paper. However...
Some of the claims are not supported by the data.
Minor comments
Figure 1C the CRISPR generated allele (vd123) is referred to as [S784L] and then in 1E vd92 is referred to as [S784L]. Perhaps it would be clearer if the allele name was used instead of the amino acid change.
Page 6 "We reasoned that if the S784L mutation we isolated causes a similar loss of the GTPase activation function, then SKIN::AGEF-1a[E608K] would not have the capacity to restore the rate of PLM axon breaks to background levels in agef-1[S784L]; tbc-10; vdSi2 animals." It was unclear to me whether you were testing if the S784L mutation could be disrupting a GEF independent function or might disrupt the nucleotide exchange activity as might be tested in a biochemical assay. There are many reasons this change could cause a loss of function phenotype (ie. Improper folding, mislocalization, etc.). The most clear explanation would be that you were testing if GEF function was required for rescue rather than testing if the S784L mutation disrupted GEF activity.
Page 13. It was unclear how testing if AGEF-1, RME-4, ARF-5 and RAB-35 form complexes in vivo (I assume you are suggesting colocalize based on figure 3 interpretation) would resolve how AGEF-1 was regulating RAB-35.
Cross-commenting
I agree with the comments made by the other reviewers and I stand by my own as well. I will echo that it is important to know the nature of their agef-1 allele.
Bonacossa-Pereira et al identify AGEF-1 as a regulator of axon integrity that functions in a pathway with RAB-35 in the epidermis is an exciting finding. As pointed out in the discussion, mutations in the human ortholog cause neurodevelopmental defects which leads to obvious characterization of BIG2/ArfGEF2 in neurons while this study indicates that this protein can have cell non-autonomous roles in regulating neurons. These findings could have important implications for understanding the etiology of these defects that would be of interest to neurobiologists and clinical researchers.
The finding of this paper would also be of interest to cell biologists and particularly those studying the roles of Rab and Arf GTPases in membrane trafficking, such as myself. The idea that AGEF-1 might function as a Rab35 GEF is provocative and would generate a lot of interest and skepticism from the field. However, there is no data to support that AGEF-1 would be a direct regulator of Rab35 over the previously demonstrated cross regulation of Rab35 by Arf GTPases. Therefore, it would be fine to speculate in the discussion a direct interaction, but I would refrain from suggesting this as a model and elsewhere in the manuscript.
Tried starting the daemon with a different base directory, assuming that maybe my attempts with mirroring were interfering. Indeed it now accepts my peergos.net login, it goes to the "generating keys" phase , but then it errors out telling me I need to log in to my home server, all in the login page.
mirroring interferes with pergos.net login
By default we don't allow external logins if not on localhost, you can enable them with -allow-external-login true
start local Peergos daemon with
-allow-external-login
But we areonly just beginning to recognise, let alone solve, the problems ofdescription and response to the facts of flow.programming: distribution and flow96
I think that this statement is very important because now that we have recognized that it is a problem what are we doing to solve it? the answer is nothing. Content just keeps getting easier and shorter to consume and people keep consuming it
There are of course many cases inwhich this does not happen: people can consciously selectanother channel or another programme, or switch off altogether
I think that this statement can now be applied with a modern lens and can speak to peoples current attention spans. Apps like Tik Tok and instagram have implemented ways of consuming hundreds of different types of content within just a few minutes of being on the app. I Truly Believe that cable television was the last time humans had a attention span that made it so they could sit through a whole broadcast on T.V
or the ‘interruptions’ are in one way only the most visiblecharacteristic of a process which at some levels has come todefine the television experience.
For some people, this unpredictable style of t.v has been something that people are fond of and keep coming back too. Fans of a series often try to search for and uncover outages from the show just because they crave more of that unpredictability that a certain show has. A stellar example of this would be the Comedy "The Office".
Y[i] = sample(1:K,1, replace=FALSE,probs)
Why not sample a vector of size n, instead of sampling 4000 vectors of size 1 in a for loop?
probs = c() for (k in 1:K) { probs = c(probs, exp(LP[[k]]))} probs = probs / sum(probs)
This does not depend on i. You can do it outside of the for loop only once, instead of repeating the calculation 4000 times.
# True probabilities bp = c(2, 0, 2, -2)
This is confusing. How are these probabilities? you mean parameters? but the parameters beta in the text were different: -2, 0, 2, 4.
LP = NULL for (k in 1:K) { LP[[k]] = bp[k] }
Same as LP <- as.list(bp)
?
But why do you need the vector bp expressed as a list?
# Design matrix X.f = matrix(0, nrow=n, ncol=K-1)
Not used subsequently.
the only package I could find is MCMCGlmm in R
I never used it, but I understand that you can use the categorical
family of {brms}
to fit multinomial models.
In the frequentist world, the package {mclogit}
seems to fit this kind of models, and also the function multinom()
from package {nnet}
.
Hi! nice post, thank you! This is an interesting topic on which I worked a bit in the past trying to implement multinomial models in INLA using this trick. But I got lost in the details and computational problems and never got around to complete it.
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DOCUMENT DE SYNTHÈSE : Les Politiques d'Accompagnement à la Parentalité en France
Source : Rapport d’information N° 1638, Assemblée Nationale, Délégation aux droits des femmes et à l’égalité des chances entre les hommes et les femmes, sur les politiques d’accompagnement à la parentalité, présenté par Mme Sarah Legrain et Mme Delphine Lingemann, enregistré le 24 juin 2025.
Synthèse Exécutive
Ce rapport de la Délégation aux droits des femmes et à l’égalité des chances entre les hommes et les femmes met en lumière les inégalités persistantes dans la répartition des charges domestiques et parentales en France, majoritairement assumées par les femmes.
Il révèle que la parentalité, loin d'être neutre en matière de genre, est une cause majeure des inégalités économiques, professionnelles et sociales entre les hommes et les femmes. La "pénalité parentale" affecte de manière significative la carrière et les revenus des femmes, tandis que les hommes en sont largement épargnés.
Les rapporteures identifient plusieurs axes clés pour favoriser une répartition plus égalitaire des tâches parentales et promouvoir une vision positive et égalitaire de la parentalité, formulant 44 recommandations pour y parvenir.
Ces recommandations couvrent l'éducation et l'information, la prise en compte de la parentalité au travail, l'accompagnement des parents dès le désir d'enfant, la refonte des systèmes de congés parentaux et des modes d'accueil, le soutien aux parents d'adolescents et l'accompagnement des familles monoparentales.
Thèmes Principaux et Idées Clés
1. La Charge Domestique et Parentale Inégalitaire : Un Frein à l'Égalité des Femmes
2. Conséquences Lourdes pour les Mères : Coût Humain, Économique et Social
3. Propositions pour une Parentalité Égalitaire
Les rapporteures formulent 44 recommandations pour transformer les politiques d'accompagnement à la parentalité, axées sur l'égalité :
Éducation et Information :
Prise en Compte au Travail :
Réforme des Congés et Modes d'Accueil :
Accompagnement des Familles Monoparentales :
Conclusion des Rapporteures
Les rapporteures affirment que malgré des évolutions, les mères restent le "parent principal", ce qui a des conséquences négatives sur leur santé et leur vie professionnelle.
Une "réforme ambitieuse du système des congés", en particulier du congé second parent, est un "moteur d'égalité" essentiel.
S'inspirant des modèles scandinaves et espagnols, la France peut avancer vers une parentalité égalitaire, non seulement pour l'émancipation des femmes, mais aussi comme réponse aux inquiétudes démographiques.
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