The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A benchmark for chromatin binding measurements in live cells
Open accessAbstract
Live-cell measurement of protein binding to chromatin allows probing cellular biochemistry in physiological conditions, which are difficult to mimic in vitro. However, different studies have yielded widely discrepant predictions, and so it remains uncertain how to make the measurements accurately. To establish a benchmark we measured binding of the transcription factor p53 to chromatin by three approaches: fluorescence recovery after photobleaching (FRAP), fluorescence correlation spectroscopy (FCS) and single-molecule tracking (SMT). Using new procedures to analyze the SMT data and to guide the FRAP and FCS analysis, we show how all three approaches yield similar estimates for both the fraction of p53 molecules bound to chromatin (only about 20%) and the residence time of these bound molecules (∼1.8 s). We also apply these procedures to mutants in p53 chromatin binding. Our results support the model that p53 locates specific sites by first binding at sequence-independent sites.
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.
Integrity signals
Registry
Cites
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.
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
The quantitative proteome of a human cell line
Beck, M., Schmidt, A., Malmstroem, J., Claassen, M., Ori, A., Szymborska, A., Herzog, F., Rinner, O., Ellenberg, J., & Aebersold, R. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.82 · Cited by 816
The glucocorticoid receptor: rapid exchange with regulatory sites in living cells
McNally, J. G., Müller, W. G., Walker, D., Wolford, R., & Hager, G. L. (2000) · Science · doi:10.1126/science.287.5456.1262 · Cited by 802
Kinetics of Core Histones in Living Human Cells
Kimura, H., & Cook, P. R. (2001) · The Journal of Cell Biology · doi:10.1083/jcb.153.7.1341 · Cited by 675
Cited by
Coactivator condensation at super-enhancers links phase separation and gene control
Sabari, B. R., Dall’Agnese, A., Boija, A., Klein, I. A., Coffey, E. L., Shrinivas, K., Abraham, B. J., Hannett, N. M., Zamudio, A. V., Manteiga, J. C., et al. (2018) · Science · doi:10.1126/science.aar3958 · Cited by 2,595
Imaging dynamic and selective low-complexity domain interactions that control gene transcription
Chong, S., Dugast-Darzacq, C., Liu, Z., Dong, P., Dailey, G. M., Cattoglio, C., Heckert, A., Banala, S., Lavis, L., Darzacq, X., et al. (2018) · Science · doi:10.1126/science.aar2555 · Cited by 966
CTCF and cohesin regulate chromatin loop stability with distinct dynamics
Hansen, A. S., Pustova, I., Cattoglio, C., Tjian, R., & Darzacq, X. (2017) · eLife · doi:10.7554/elife.25776 · Cited by 613
Single-Molecule Dynamics of Enhanceosome Assembly in Embryonic Stem Cells
Chen, J., Zhang, Z., Li, L., Chen, B.-C., Revyakin, A., Hajj, B., Legant, W., Dahan, M., Lionnet, T., Betzig, E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.062 · Cited by 602
Dynamic regulation of transcriptional states by chromatin and transcription factors
Voss, T. C., & Hager, G. L. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3623 · Cited by 504
Metadata
- Authors
- Mazza, D., Abernathy, A., Golob, N., Morisaki, T., & McNally, J. G.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-07-25
- Volume
- 40
- Issue
- 15
- Pages
- e119-e119
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2108459914
- Cited by
- 303
- References
- 3
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- gold
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 benchmark for chromatin binding measurements in live cells. https://app.cochat.ai/papers/10.1093/nar/gks701
- The paper
- Mazza, D., Abernathy, A., Golob, N., Morisaki, T., & McNally, J. G. (2012). A benchmark for chromatin binding measurements in live cells. Nucleic Acids Research. https://doi.org/10.1093/nar/gks701
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.
