396 Matching Annotations
  1. Sep 2021
    1. Each cubic cell has 8 atoms in each corner of the cube, and that atom is shared with 8 neighboring cells. In the Body Centered Cubic Cell (BCC) there is an additional atom in the center of the cube, and in the face centered cubic cell, an atom is shared between two unit cells along the face.
    2. Figure12.1.112.1.1\PageIndex{1}: The 7 types of unit cells. In this class we will only look at cubic systems, and will identify 3 types of cubic unit cells (figure. 12.b)
    3. αα\large\alpha = angle in the yz plane ββ\large\beta = angle in the xz plane γγ\large\gamma = angle in the xy plane
    1. John Burn-Murdoch. (2021, August 23). NEW: in the last couple of weeks there have a lot of new studies out assessing vaccine efficacy, many of which have touched on the question of waning immunity. Unsurprisingly, these have prompted a lot of questions. Time for a thread to summarise what we do and don’t know: [Tweet]. @jburnmurdoch. https://twitter.com/jburnmurdoch/status/1429878189011111936

  2. Aug 2021
    1. however, it also led to some level of cell membrane damage

      the merged peptide led to some level of cell membrane damage

    2. Conjugation of our cyclic peptide at the C-terminal with cell penetrating peptide like TAT enabled cell penetrating

      cell penetrating peptide TAT conjugated with a peptide binder

  3. Jul 2021
    1. Keerthivasan, S., Şenbabaoğlu, Y., Martinez-Martin, N., Husain, B., Verschueren, E., Wong, A., Yang, Y. A., Sun, Y., Pham, V., Hinkle, T., Oei, Y., Madireddi, S., Corpuz, R., Tam, L., Carlisle, S., Roose-Girma, M., Modrusan, Z., Ye, Z., Koerber, J. T., & Turley, S. J. (2021). Homeostatic functions of monocytes and interstitial lung macrophages are regulated via collagen domain-binding receptor LAIR1. Immunity, 54(7), 1511-1526.e8. https://doi.org/10.1016/j.immuni.2021.06.012

  4. Jun 2021
    1. Parry, H. M., Tut, G., Faustini, S., Stephens, C., Saunders, P., Bentley, C., Hilyard, K., Brown, K., Amirthalingam, G., Charlton, S., Leung, S., Chiplin, E., Coombes, N. S., Bewley, K. R., Penn, E. J., Rowe, C., Otter, A., Watts, R., D’Arcangelo, S., … Moss, P. (2021). BNT162b2 Vaccination in People Over 80 Years of Age Induces Strong Humoral Immune Responses with Cross Neutralisation of P.1 Brazilian Variant. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3816840

  5. May 2021
  6. Apr 2021
    1. Trevor Bedford. (2021, January 14). After ~10 months of relative quiescence we’ve started to see some striking evolution of SARS-CoV-2 with a repeated evolutionary pattern in the SARS-CoV-2 variants of concern emerging from the UK, South Africa and Brazil. 1/19 [Tweet]. @trvrb. https://twitter.com/trvrb/status/1349774271095062528

  7. Feb 2021
  8. Nov 2020
    1. gametes

      These are an organisms reproductive cells which are commonly called sex cells. There are female gametes which are ova or egg cells and the male gametes which are called sperm. Gametes are haploid cells that carry only one copy for each chromosome.

  9. Oct 2020
    1. Passive transport

      The process of moving ions and other atomic/molecular substances across the cell membranes without the need of an input of energy. Instead, it relies on the system to grow during entropy.

    1. micro9laments

      Microfilaments are also known as actin filaments; which, are protein filaments that are within the cytoplasm that form part of the cytoskeleton of an Eukaryotic Cell. They help in the process of cell movement via the actin working with another protein myosin that create muscle movements, cytoplasmic streaming, and cell division.

    1. messenger RNA (mRNA)

      This is a single strand on an RNA molecule that leaves the the nucleus of a cell in order to relocate to the cytoplasm. This is where the mRNA can help create the protein for the cell in a process known as protein synthesis. The mRNA takes in information passed into it by DNA and decode it for the ribosomes to make more protein for the cell to live on.

  10. Sep 2020
    1. Le Bert, N., Tan, A. T., Kunasegaran, K., Tham, C. Y. L., Hafezi, M., Chia, A., Chng, M. H. Y., Lin, M., Tan, N., Linster, M., Chia, W. N., Chen, M. I.-C., Wang, L.-F., Ooi, E. E., Kalimuddin, S., Tambyah, P. A., Low, J. G.-H., Tan, Y.-J., & Bertoletti, A. (2020). SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls. Nature, 584(7821), 457–462. https://doi.org/10.1038/s41586-020-2550-z

  11. Aug 2020
    1. Mateus, J., Grifoni, A., Tarke, A., Sidney, J., Ramirez, S. I., Dan, J. M., Burger, Z. C., Rawlings, S. A., Smith, D. M., Phillips, E., Mallal, S., Lammers, M., Rubiro, P., Quiambao, L., Sutherland, A., Yu, E. D., Antunes, R. da S., Greenbaum, J., Frazier, A., … Weiskopf, D. (2020). Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans. Science. https://doi.org/10.1126/science.abd3871

    1. Ferretti, A. P., Kula, T., Wang, Y., Nguyen, D. M., Weinheimer, A., Dunlap, G. S., Xu, Q., Nabilsi, N., Perullo, C. R., Cristofaro, A. W., Whitton, H. J., Virbasius, A., Olivier, K. J., Baiamonte, L. B., Alistar, A. T., Whitman, E. D., Bertino, S. A., Chattopadhyay, S., & MacBeath, G. (2020). COVID-19 Patients Form Memory CD8+ T Cells that Recognize a Small Set of Shared Immunodominant Epitopes in SARS-CoV-2. MedRxiv, 2020.07.24.20161653. https://doi.org/10.1101/2020.07.24.20161653

    1. Unterman, A., Sumida, T. S., Nouri, N., Yan, X., Zhao, A. Y., Gasque, V., Schupp, J. C., Asashima, H., Liu, Y., Cosme, C., Deng, W., Chen, M., Raredon, M. S. B., Hoehn, K., Wang, G., Wang, Z., Deiuliis, G., Ravindra, N. G., Li, N., … Cruz, C. S. D. (2020). Single-Cell Omics Reveals Dyssynchrony of the Innate and Adaptive Immune System in Progressive COVID-19. MedRxiv, 2020.07.16.20153437. https://doi.org/10.1101/2020.07.16.20153437

  12. Jul 2020
  13. Jun 2020
    1. Governments’ use of purchased location data has exploded in recent months, as officials around the world have sought insights on how people are moving around during the Covid-19 pandemic. In general, governments have assured their citizens that any location data collected by the marketing industry and used by public health entities is anonymous. But the movements of a phone give strong clues to its ownership—for example, where the phone is located during the evenings and overnight is likely where the phone owner lives. The identity of the phone’s owner can further be corroborated if their workplace, place of worship, therapist’s office or other information about their real-world activities are known to investigators.

      private data is not anonymous as is purported

  14. May 2020
    1. Grifoni, A., Weiskopf, D., Ramirez, S. I., Mateus, J., Dan, J. M., Moderbacher, C. R., Rawlings, S. A., Sutherland, A., Premkumar, L., Jadi, R. S., Marrama, D., de Silva, A. M., Frazier, A., Carlin, A., Greenbaum, J. A., Peters, B., Krammer, F., Smith, D. M., Crotty, S., & Sette, A. (2020). Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell, S0092867420306103. https://doi.org/10.1016/j.cell.2020.05.015

  15. Dec 2019
  16. Nov 2019
    1. in Figure 1A,B: (I) The NP reaches the membrane surface via diffusion. (II) The NP diffuses over the water–membrane interface

      In fact, in the simulation a potential is applied to drive the particles towards the membrane so neither (I) nor (II) can be described as free diffusion.

  17. Oct 2019
    1. Based on the values of the partition function as well as the difference in time scale between the leakage process and the entry process (seconds or minutes vs nanoseconds), we assume that a steady-state condition is rapidly reached. Therefore, by comparing eq 5 with eq 4, we find that

      These words are confusing. If they assume that I(t) is proportional to [GDQ]m then equations 4 and 5 are simply identical with two different notations. I can see no reasonable reason to assume that though.

  18. Sep 2019
    1. c is a constant that depends on

      How does it depends on these things? How can the authors compare experimental results to theory without explaining this information?

    2. the GQD concentration inside the vesicle and the bilayer

      "inside the bilayer" and "inside the vesicle" are two different things.

    3. 2 to 8

      "2 to 8 nm" is a huge range given; the range covered by figure 5 does not extend beyond 2.5 nm. One can guess that the probability of a low density lipid fluctuation extending over 8 nm is essentially zero.

    4. biolabeling

      Ref 6 (2013) does not demonstrate wide use in biolabelling. It is a synthesis and proof of principle paper. 6 years later, no biologist are using these materials for their imaging needs. However there are tons more of papers about the "emerging" carbon nanomaterials for imaging. The paper has a figure about uptake in cells. It says nothing about the mechanisms of uptake and it is not possible to conclude from the data provided.

    5. wound disinfection

      Carbonaceous NPs are not widely used in wound disinfection. This 2014 paper propose the idea and doing experiments on bacteria and on mice. It contains very little about interaction of the NPs with cells.

    6. cancer therapy

      "widely used in cancer therapy" I know that this kind of poetic license is common in scientific writing but it is nevertheless wrong. Carbonaceous NPs have not been used in cancer therapy. Those two references are materials synthesis papers that claim that they could be used in the future for this purpose. Reference 5 is about pegylated graphene oxide which is fundamentally different from anything modelled here (and the PEG is to make it water soluble). Reference 5 also concludes the nanoparticles enter by endocytosis.

    7. like drug delivery

      Reference 2 is a paper about micron-size particles that can be opened by ultrasounds. It does not have any experiments with membranes nor living things. Reference 3 is mostly a materials synthesis and characterization paper. The little it has about interaction with cells, figure 8 and 9, concludes unambiguously that the particles enter by endocytosis, i.e. nothing to do with the kind of mechanisms modelled in this paper. Reference 4 is about particles which are ~75 nm diameter so very different from the materials modelled in this paper. Like for Ref 3, the paper concludes unambiguously that entry into the cells is by endocytosis (that's even visible from TOC visual abstract).

    8. KD is estimated by using the approach outlined in ref

      Why are the values of Kd not given anywhere in this paper?

    9. Figure 9. Measured GQD leakage from different lipid vesicles. (A) Experimental images of photoluminescence change over a 1 h period. Images were taken every 15 min. White scale bar is 50 μm. (B) Photoluminescence intensity over a 1 h period for GQD-encapsulated vesicles with different lipid compositions is indicated. (C) Comparison of the model’s predictions to the permeability measured from experiment (error bars correspond to one standard deviation).

      The partition coefficient tell us that it should be 100% in the membrane (see table 1). Why don't we see any accumulation in the membranes at all?

    10. KD of the NP in water/lipid as

      Isn't it lipid/water rather than water/lipid? I strongly suspect it is given that in the table Pt is given as 100% for all three "nanoparticles" and C60 has a very high oil/water (eg Kd toluene water ~7.

    11. Specifically, a buckminsterfullerene, a curved OH-terminated graphene quantum dot (GQD), and GQD functionalized with two cysteine groups (cys-GQD) were used.(40) This selection covers NPs of similar size but different shape and hydrophilicity

      So all of the intro (and title) is a general blurb about nanoparticles going through membranes, but these three examples are tiny hydrophobic objects.

    12. ller nanoparticles can instead cross the membrane by passive transport, that is, by displacing, sometimes irreversibly, the lipids or by diffusing in the hydrophobic region of the membrane and then on the other side

      This is an extraordinary assertion that is not backed up by references.

    13. For particles with the smallest dimension larger than the membrane thickness, approximately above 10–15 nm, the permeation is generally controlled by membrane deformation(23) and endocytosis.(24)

      This gives the impression that particles generally permeate. This is contradiction with earlier statements that correctly indicate that they don't.

    14. an effective barrier. Nonetheless,

      That apparent contradiction is missing a crucial point. What is the proportion of material getting "cytoplasmic access"? The Cell Penetrating Peptides field is a right mess. One thing is sure: most (maybe all) CPPs enter via endocytotic pathways and for any CPP only a tiny proportion reaches the cytosol. My own experience with the TAT-HA2 peptide was not particularly encouraging. Importantly, when "access to the cytosol" is measured by a biological outcome (e.g. transfection or toxicity), this can be achieved by a rare event. In other words, depending on the conditions, efficient transfection (e.g. 75% of cells transfected) can be achieved with very low percentage of particles reaching the cytosol (e.g. 99.9% in endosomes; 0.1% escape).

    15. ensing of cellular behavior.(6−10)

      Again, all of these papers are chemistry papers describing the synthesis of new materials which, according to their authors, could be useful for deep tissue imaging etc. Some of these are 5+ years old. These are indeed examples of "engineering for applications" but not of applications. Essentially no biologists use these materials for their imaging or sensing needs.

    16. led release,(3,5)
    17. such as drug delivery,(2−4)

      It enables engineering for applications... But it does not enable applications. None of these examples of drug delivery are remotely realistic. These are examples of chemistry papers not of drug delivery applications. The first paper (ref 2) is so far from drug delivery application that it does not even have cell culture experiments (not to mention preclinical or clinical work). Ref 3-4 are also mostly materials synthesis/characterization papers ; they do have some cell uptake/toxicity experiments. Still million miles away from "applications in drug delivery".

    18. are especially frustrating in biomedicine. Indeed, recently, there has been a blooming of applications

      Is it just me or is there a disconnect, even a contradiction between "especially frustrating" and "blooming of applications"?

    19. However, this is not the case for most macromolecules, such as proteins or nanoparticles (NPs), whose hydrophilicity and large size hamper direct diffusion through the membrane lipid bilayer.(1)

      Exactly. Nanoparticles large size and hydrophilicity hamper direct diffusion through the membrane bylayer. So far so good.

  19. May 2019
    1. The RNA-seq data for all 64 cell lines expressing 89% (n=17544) of all protein-coding human genes are presented in the Cell Atlas and can be used as a tool for selection of suitable cell lines for an experiment involving a particular gene or pathway or for further studies on the transcriptome of established human cell lines.
  20. Apr 2019
    1. organisms require physical lysis mainly based on heat,(31) pressure,(32) sonication with sound waves,(33) and bead milling.(34)
  21. Mar 2018
  22. Feb 2018
  23. Nov 2017
  24. Oct 2017
  25. Feb 2017
  26. Jan 2017
  27. Oct 2016
  28. Jul 2016
  29. Jan 2016
    1. Neurons within a type also tended to have the same dendritic arborization pattern and electrophysiological properties, but as for L23 interneurons, these properties were often not cell type–specific (figs. S3, C and F, and S4).

      So, dendritic patterns not unique but axonal patterns unique.

    2. The remaining five types have not been previously described in L5, and we named them as follows: neurogliaform cells (L5NGCs), basket cells (L5BCs), shrub cells (SCs), horizontally elongated cells (HECs), and deep-projecting cells (DCs)

      New classifications for layer 5 interneurons

    3. L23 Martinotti cells

      Layer-based classification

    4. owever, many of them (~60%) had atypical axonal projection patterns compared to those previously described for SBCs, and their axon arborized mostly within L1, with only one or two side branches extending to deep layers (not deeper than L4). Despite their variable axonal projection patterns, non-neurogliaform L1 neurons shared similar dendritic and electrophysiological features (tables S1 and S2) and similar connectivity profiles (table S3) that correspond to SBCs in rat somatosensory cortex (5, 12). We thus refer to this group as SBC-like cells

      Qualification: SBC-like cells

    5. neurogliaform cells
  30. May 2015