5,106 Matching Annotations
  1. Dec 2020
    1. percentage
    2. lung T cells
    3. proportions
    4. h
    5. h
    6. h
    7. h
    8. h
    9. tissues
    10. quality control metrics
    11. cell
    12. reads
    13. cold ischemic time
    14. cell types
    15. comparison
    16. organ
    17. organs
    18. data
    19. eQTL
    20. donors
    21. whole genome sequences
    22. annotations
    23. cell type
    24. single-cell transcriptomes
    25. donors
    26. lung
    27. RESULTS
    28. esophagus
    29. spleen
    30. cold storage
    31. experimental design
    32. BACKGROUND
    33. data
    34. processing
    35. sample collection
    36. atlas
    37. data
    38. Single-cell RNA sequencing
    39. human body
    40. cell types
    41. international
    42. Human Cell Atlas
    1. spatial resolution
    2. scales
    3. hierarchical
    4. analytical methods
    5. technologies
    6. individuals
    7. strategies
    8. anatomical variation
    9. organs
    10. tissues
    11. coordinate
    12. review
    13. scales
    14. anatomical
    15. histological
    16. individuals
    17. organ
    18. integrate data
    19. computational approaches
    20. technologies
    21. molecular profiling
    22. genetic
    23. molecular
    24. biology
    25. individuals
    26. phenotypic heterogeneity
    1. disease
    2. human retinal cel
    3. transcriptional
    4. cell line
    5. Müller glia
    6. adult
    7. pluripotent stem cell-derived cone photoreceptors
    8. retina
    9. transcriptome atlas
    10. expression
    11. post-mortem time
    12. MALAT1
    13. MALAT1
    14. rod photoreceptor degeneration
    15. rod photoreceptors
    16. degenerating
    17. healthy
    18. molecular profile
    19. molecular profile
    20. data
    21. microglia
    22. astrocytes
    23. horizontal cells
    24. retinal ganglion cells
    25. amacrine cells
    26. bipolar cells
    27. Müller glia
    28. cone photoreceptors
    29. rod photoreceptors
    30. neural retinal cells
    31. cell populations
    32. unsupervised clustering analysis,
    33. reference transcriptome atlas
    34. donors
    35. cells
    36. human retina
    37. humans
    38. cell types
    39. neural tissue
    40. light
    41. senses
    42. image processing
    43. single-cell RNA sequencing
    44. cells
    45. retina
    46. retinal
    47. retina
    1. heterogeneous
    2. analysis
    3. discovery
    4. diseased
    5. livers
    6. transcriptome
    7. mouse liver
    8. engrafted
    9. liver endothelial cells
    10. human hepatocytes
    11. cells
    12. hepatocellular carcinoma
    13. phenotypic
    14. atlas
    15. proof-of-principle
    16. tissue
    17. liver
    18. organoids
    19. TROP2int progenitor
    20. cholangiocyte
    21. hepatocyte
    22. potential
    23. population
    24. populations
    25. population
    26. EPCAM+
    27. populations
    28. zonation
    29. hepatocytes
    30. Kupffer cells
    31. endothelial cells
    32. subtypes
    33. cell types
    34. cell atlas
    35. human liver
    36. human liver
    37. liver
    38. cells
    39. single-cell RNA sequencing
    40. liver
    41. cellular composition
    42. treatment
    43. liver diseases
    44. organ
    45. human liver
    1. • Assign responsibility for long-term data curation to a suitable office.

      Easier said than done, I do not know if my uni has one of those...

    1. perturbation screens.
    2. samples
    3. donor
    4. biopsies
    5. model organism
    6. isogenic
    7. tissue atlases
    8. genetic variation
    9. sex-specific gene expression
    10. multiplets
    11. singlets
    12. computational tool
    13. hashing antibodies
    14. sample
    15. samples
    16. human brain cortex
    17. samples
    18. sample
    19. nuclei
    20. barcoded antibodies
    21. snRNA-seq
    22. costs
    23. batch effects
    24. organs
    25. cell atlases
    26. clinical trials
    27. human genetics studies
    28. frozen
    29. dissociate
    30. tissues
    31. cellular states
    32. snRNA-seq
    33. Single-nucleus RNA-seq