CoChat
Sign Up
PreprintCited by 2Glycosylation and Glycoproteins ResearchCellular transport and secretionViral Infectious Diseases and Gene Expression in Insects

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Cell membrane glycan contents are biochemical factors that constitute a kinetic barrier to viral particle uptake in a protein-nonspecific manner

Open access
Kaizuka, Yoshihisa, Machida, Rika·2024·eLife
DOI 10.1101/2024.06.29.601115

Preprint — published as 10.7554/elife.101175 · Paper page

Open this paper in CoChat — free account

Abstract

Various types of glycoproteins have been suggested to inhibit viral infection of cells via steric repulsion. However, it is difficult to evaluate such physical actions genetically, simply because they are nonspecific and can be caused by any molecule. Therefore, we investigated a method to compare this nonspecific action among cells with diverse membrane protein profiles. We found that a wide range of glycoproteins individually had a strong inhibitory effect on infection, while on the other hand, the total amount of glycans was negatively correlated with the infection level in each cell. Thus, the infection-inhibitory effect of glycoproteins was molecularly nonspecific, but was additively enhanced according to the amount of glycans on the cell surface. In this correlation, glycans function as a fundamental factor. Further investigating the mechanism by which glycans function as a factor in infection control, we conclude that the repulsion between proteins created by branched glycans forms a kinetic energy barrier against packing the virus into the region of protein interstitial space. As a result, the formation of the adhesive interface between the virus and the cell membrane, which is necessary for infection, is inhibited. This study attempted to link the cell’s nonspecific physical properties with intracellular biochemicals. A similar approach may be applied to quantify other nonspecific biological phenomena.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2024.06.29.601115

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 82

  1. 10.1016/j.cell.2022.01.012 · DOI · Paper page
  2. 10.1051/jphys:01977003808097700 · DOI
  3. 10.1021/bm3001759 · DOI
  4. 10.1093/nar/gkac1052 · DOI · Paper page
  5. 10.1038/s41588-022-01131-x · DOI
  6. 10.1073/pnas.1710358114 · DOI
  7. 10.1016/S0140-6736(20)30154-9 · DOI
  8. 10.1371/journal.ppat.1011571 · DOI
  9. 10.1371/journal.pone.0067008 · DOI
  10. 10.1021/ma60077a009 · DOI
  11. 10.1073/pnas.1921962117 · DOI
  12. 10.1016/j.ceb.2020.07.002 · DOI
  13. 10.1038/s41586-021-03570-8 · DOI
  14. 10.1038/s41577-022-00761-w · DOI
  15. 10.1016/j.isci.2022.104419 · DOI
  16. 10.1056/NEJMoa2020283 · DOI
  17. 10.1016/j.cell.2016.04.016 · DOI
  18. 10.1021/la9509559 · DOI
  19. 10.1021/acs.chemmater.8b01676 · DOI
  20. 10.1074/jbc.M114.574319 · DOI
  21. 10.1529/biophysj.108.131540 · DOI
  22. 10.1016/0006-291X(79)91708-X · DOI
  23. 10.1038/s41586-020-03148-w · DOI
  24. 10.1126/science.abc6027 · DOI · Paper page
  25. 10.1021/la981356f · DOI
  26. 10.1016/S0006-3495(03)74855-3 · DOI
  27. 10.1063/1.1700763 · DOI
  28. 10.1051/jp2:1996142 · DOI
  29. 10.1016/j.devcel.2021.02.023 · DOI
  30. 10.1016/j.molcel.2020.08.004 · DOI
  31. 10.1038/s41586-021-03819-2 · DOI · Paper page
  32. 10.1021/acs.langmuir.3c00054 · DOI
  33. 10.1021/acs.langmuir.0c02955 · DOI
  34. 10.1021/acs.langmuir.0c02955 · DOI
  35. 10.1038/s41586-020-2665-2 · DOI
  36. 10.1002/pol.1954.120120110 · DOI
  37. 10.1038/s41567-018-0186-9 · DOI
  38. 10.1016/j.devcel.2024.01.020 · DOI
  39. 10.1073/pnas.2103626118 · DOI
  40. 10.1063/5.0103351 · DOI
  41. 10.1038/mi.2008.5 · DOI
  42. 10.1371/journal.pone.0112292 · DOI
  43. 10.1093/bioinformatics/btt473 · DOI · Paper page
  44. 10.1038/mi.2017.16 · DOI
  45. 10.1016/j.cell.2020.10.001 · DOI
  46. 10.1126/science.251.4996.905 · DOI
  47. 10.1038/nrm3383 · DOI
  48. 10.1073/pnas.1916055117 · DOI
  49. 10.1021/la703788h · DOI
  50. 10.1099/jgv.0.001453 · DOI
  51. 10.1103/PhysRevLett.76.1272 · DOI
  52. 10.1038/nature13535 · DOI · Paper page
  53. 10.1038/s41586-022-04826-7 · DOI
  54. 10.1126/sciadv.1601478 · DOI
  55. 10.1038/s41598-021-99404-8 · DOI
  56. 10.1146/annurev.bi.57.070188.004033 · DOI
  57. 10.1371/journal.pbio.3001143 · DOI · Paper page
  58. 10.1126/science.1205438 · DOI
  59. 10.1073/pnas.1813038116 · DOI
  60. 10.7554/eLife.32303 · DOI
  61. 10.1038/nmeth929 · DOI
  62. 10.1038/s41580-023-00583-1 · DOI
  63. 10.1073/pnas.1711314115 · DOI
  64. 10.1242/bio.019893 · DOI
  65. 10.1016/j.cell.2019.04.017 · DOI
  66. 10.1016/j.cell.2018.06.017 · DOI
  67. 10.1038/s41598-018-33592-8 · DOI
  68. 10.1080/10409239891204198 · DOI
  69. 10.1038/emboj.2013.79 · DOI · Paper page
  70. 10.1038/ncomms8347 · DOI
  71. 10.1038/s41586-023-07004-5 · DOI
  72. 10.1021/la504523c · DOI
  73. 10.1016/j.immuni.2006.04.010 · DOI
  74. 10.1371/journal.pone.0031457 · DOI · Paper page
  75. 10.1021/acscentsci.1c01369 · DOI
  76. 10.1073/pnas.212392599 · DOI
  77. 10.1006/abio.1994.1134 · DOI
  78. 10.1021/ja027412n · DOI
  79. 10.1016/j.isci.2021.102151 · DOI
  80. 10.1038/s41586-021-04345-x · DOI · Paper page
  81. 10.1016/S0079-6700(00)00012-5 · DOI · Paper page
  82. 10.1016/j.cell.2021.07.023 · DOI

Metadata

Authors
Kaizuka, Y., & Machida, R.
Affiliations
National Institute for Materials Science (JP)
Corresponding author
Kaizuka, Yoshihisa
ORCID
Kaizuka, Yoshihisa
Venue
eLife
Publisher
openRxiv
Published
2024-06-30
Volume
14
ISSN
2050-084X (ISSN-L)
DOI
10.1101/2024.06.29.601115
OpenAlex
W4415613455
Cited by
2
References
2
Citations by year
2026: 2
FWCI
0.60
Type
journal article
Language
en
Open access
Licence
Locations
  • eLife (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
Funders
National Institute for Materials Science
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
Keywords
viral infection inhibition, steric repulsion, glycoproteins, kinetic barriers, cell surface glycosylation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review