Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 572

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

Protein condensates as aging Maxwell fluids

Jawerth, Louise, Fischer-Friedrich, Elisabeth, Saha, Suropriya, Wang, Jie, Franzmann, Titus, Zhang, Xiaojie, Sachweh, Jenny, Ruer, Martine, Ijavi, Mahdiye, Saha, Shambaditya, Mahamid, Julia, Hyman, Anthony A., Jülicher, Frank·2020·Science

Abstract

Rheology of aging protein condensates: Protein condensates that form by undergoing liquid-liquid phase separation will show changes in their rheological properties with time, a process known as aging. Jawerth et al. used laser tweezer–based active and microbead-based passive rheology to characterize the time-dependent material properties of protein condensates (see the Perspective by Zhang). They found that condensate aging is not gelation of the condensates, but rather a changing viscoelastic Maxwell liquid with a viscosity that strongly increases with age, whereas the elastic modulus stays the same. Science , this issue p. 1317 ; see also p. 1271

Overview

Integrity signals

Registry

Crossref · 10.1126/science.aaw4951

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 2 references

Research works printed but not linked: 57

  1. 10.1126/science.1172046 · DOI
  2. 10.1016/j.cell.2015.07.047 · DOI · Paper page
  3. 10.1016/j.cell.2017.05.028 · DOI
  4. 10.1083/jcb.201912036 · DOI
  5. 10.1146/annurev.cellbio.13.1.83 · DOI
  6. 10.1038/nrm.2017.7 · DOI
  7. 10.1126/science.aaf4382 · DOI
  8. 10.1016/j.molcel.2015.08.018 · DOI
  9. 10.1126/science.aao5654 · DOI
  10. 10.1016/j.cell.2018.06.006 · DOI
  11. 10.1038/nature22989 · DOI
  12. 10.7554/eLife.37949 · DOI
  13. 10.1038/s41594-019-0190-5 · DOI
  14. 10.1016/j.bpj.2020.08.002 · DOI
  15. 10.1016/0079-6700(94)00001-I · DOI
  16. C. B. Roth Polymer Glasses (CRC 2016). · DOI
  17. M. Rubinstein R. H. Colby Polymer Physics vol. 23 (Oxford Univ. Press 2003). · DOI · Paper page
  18. H. H. Winter M. Mours Rheology of polymers near liquid-solid transitions in Neutron Spin Echo Spectroscopy Viscoelasticity Rheology vol. 134 of Advances in Polymer Science (Springer 1997) pp. 165–234. · DOI
  19. 10.1103/RevModPhys.83.587 · DOI
  20. 10.1063/1.443417 · DOI
  21. 10.1039/c3sm50503k · DOI
  22. 10.1122/1.4883675 · DOI
  23. 10.1016/j.cell.2016.08.006 · DOI
  24. 10.1126/science.aar7366 · DOI
  25. 10.1103/PhysRevLett.121.258101 · DOI
  26. M. L. Gardel M. T. Valentine D. A. Weitz Microrheology (Springer 2005).
  27. 10.1073/pnas.1504822112 · DOI · Paper page
  28. 10.1039/c3sm51956b · DOI
  29. 10.1007/s003970000094 · DOI
  30. L. C. E. Struik “Physical aging in amorphous polymers and other materials ” thesis Technische Hogeschool Delft (1977).
  31. 10.1209/0295-5075/84/20006 · DOI
  32. 10.1088/0953-8984/17/6/R01 · DOI
  33. 10.1103/PhysRevE.55.3898 · DOI
  34. 10.1088/1751-8113/44/48/483001 · DOI
  35. 10.1103/PhysRevLett.93.160603 · DOI
  36. 10.1103/PhysRevLett.106.055502 · DOI
  37. 10.1007/s101890170118 · DOI
  38. G. B. McKenna S. L. Simon in Polymer Glasses (CRC 2016) pp. 39–70.
  39. 10.1039/c0sm00590h · DOI
  40. 10.1016/j.jcis.2011.05.080 · DOI
  41. 10.1021/ma0013049 · DOI
  42. 10.1146/annurev-conmatphys-070909-104045 · DOI
  43. 10.1038/srep10386 · DOI
  44. 10.1051/jp1:1992238 · DOI
  45. 10.1103/PhysRevLett.78.2020 · DOI
  46. 10.1088/0305-4470/29/14/012 · DOI
  47. 10.1038/s41598-019-50825-6 · DOI
  48. M. Hondele S. Heinrich P. De Los Rios K. Weis Membraneless organelles: phasing out of equilibrium Emerg. Top. Lif Sci . (2020). 10.1042/ETLS20190190 · DOI
  49. 10.1103/PhysRevLett.85.4819 · DOI
  50. 10.1186/s12896-019-0512-z · DOI
  51. 10.1016/j.jsb.2005.07.007 · DOI
  52. 10.1016/j.jsb.2016.06.007 · DOI
  53. 10.1073/pnas.1418377111 · DOI
  54. 10.1006/jsbi.1996.0013 · DOI
  55. 10.1021/acs.jpcb.0c06230 · DOI
  56. 10.1088/0305-4470/21/9/025 · DOI
  57. 10.1103/PhysRevE.62.5389 · DOI

Cited by

Metadata

Authors
Jawerth, L., Fischer-Friedrich, E., Saha, S., Wang, J., Franzmann, T., Zhang, X., Sachweh, J., Ruer, M., Ijavi, M., Saha, S., Mahamid, J., Hyman, A. A., & Jülicher, F.
Venue
Science
Published
2020-12-11
Volume
370
Issue
6522
Pages
1317-1323
ISSN
  • 0036-8075
  • 1095-9203
Cited by
572
References
2
Language
en
Funders
  • European Research Council (760067)
  • Deutsche Forschungsgemeinschaft ((EXC-2068; 390729961, EXC-2068; 390729961, ZE1216/1-1; HY3/6-1)

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.