Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

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

A single-molecule characterization of p53 search on DNA

Tafvizi, Anahita, Huang, Fang, Fersht, Alan R., Mirny, Leonid A., van Oijen, Antoine M.·2011·Proceedings of the National Academy of Sciences

Abstract

The tumor suppressor p53 slides along DNA while searching for its cognate site. Central to this process is the basic C-terminal domain, whose regulatory role and its coordination with the core DNA-binding domain is highly debated. Here we use single-molecule techniques to characterize the search process and disentangle the roles played by these two DNA-binding domains in the search process. We demonstrate that the C-terminal domain is capable of rapid translocation, while the core domain is unable to slide and instead hops along DNA. These findings are integrated into a model, in which the C-terminal domain mediates fast sliding of p53, while the core domain samples DNA by frequent dissociation and reassociation, allowing for rapid scanning of long DNA regions. The model further proposes how modifications of the C-terminal domain can activate “latent” p53 and reconciles seemingly contradictory data on the action of different domains and their coordination.

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 · 10.1073/pnas.1016020107

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

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?

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

Show all 2 references

Research works printed but not linked: 33

  1. 10.1111/j.1349-7006.1995.tb02461.x · doi:10.1111/j.1349-7006.1995.tb02461.x
  2. 10.1002/j.1460-2075.1993.tb05893.x · DOI · Paper page
  3. 10.1002/j.1460-2075.1993.tb06199.x · DOI · Paper page
  4. 10.1016/0092-8674(92)90562-Q · DOI · Paper page
  5. 10.1002/(SICI)1096-9896(199901)187:1<112::AID-PATH250>3.0.CO;2-3 · doi:10.1002/(sici)1096-9896(199901)187:1<112::aid-path250>3.0.co;2-3
  6. 10.1073/pnas.95.11.6079 · DOI
  7. 10.1016/j.molcel.2004.09.032 · DOI · Paper page
  8. 10.1529/biophysj.104.050765 · DOI · Paper page
  9. 10.1126/science.1141967 · DOI · Paper page
  10. 10.1073/pnas.0509723103 · DOI · Paper page
  11. 10.1128/MCB.15.4.2157 · DOI
  12. 10.1007/s000180050271 · DOI
  13. 10.1016/j.molcel.2006.05.015 · DOI · Paper page
  14. 10.1073/pnas.0909644106 · DOI · Paper page
  15. 10.1073/pnas.0705069104 · DOI · Paper page
  16. 10.1529/biophysj.108.134122 · DOI · Paper page
  17. 10.1021/bi00527a028 · DOI · Paper page
  18. 10.1126/science.1097064 · DOI · Paper page
  19. 10.1088/1751-8113/42/43/434013 · DOI · Paper page
  20. 10.1016/S1097-2765(00)80329-9 · DOI · Paper page
  21. 10.1529/biophysj.107.123182 · DOI · Paper page
  22. 10.1529/biophysj.105.078303 · DOI
  23. CG Kalodimos, R Boelens, R Kaptein, A residue-specific view of the association and dissociation pathway in protein—DNA recognition. Nat Struct Biol 9, 193–197 (2002).
  24. 10.1073/pnas.0701497104 · DOI · Paper page
  25. 10.1073/pnas.0907840106 · DOI
  26. 10.1074/jbc.M302458200 · DOI · Paper page
  27. 10.1093/carcin/21.4.633 · DOI
  28. 10.1093/carcin/15.6.1089 · DOI
  29. 10.1529/biophysj.108.129825 · doi:10.1529/biophysj.108.129825
  30. 10.1038/nature04317 · DOI · Paper page
  31. 10.1126/science.1084387 · DOI · Paper page
  32. 10.1016/j.jmb.2004.07.042 · DOI · Paper page
  33. 10.1073/pnas.95.25.14675 · DOI · Paper page

Cited by

See all 236

Metadata

Authors
Tafvizi, A., Huang, F., Fersht, A. R., Mirny, L. A., & van Oijen, A. M.
Venue
Proceedings of the National Academy of Sciences
Published
2010-12-22
Volume
108
Issue
2
Pages
563-568
ISSN
  • 0027-8424
  • 1091-6490
Cited by
236
References
2
Language
en

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A single-molecule characterization of p53 search on DNA. https://app.cochat.ai/papers/10.1073/pnas.1016020107
The paper
Tafvizi, A., Huang, F., Fersht, A. R., Mirny, L. A., & van Oijen, A. M. (2011). A single-molecule characterization of p53 search on DNA. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1016020107

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.