The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Probing the target search of DNA-binding proteins in mammalian cells using TetR as model searcher
Open accessAbstract
Many cellular functions rely on DNA-binding proteins finding and associating to specific sites in the genome. Yet the mechanisms underlying the target search remain poorly understood, especially in the case of the highly organized mammalian cell nucleus. Using as a model Tet repressors (TetRs) searching for a multi-array locus, we quantitatively analyse the search process in human cells with single-molecule tracking and single-cell protein–DNA association measurements. We find that TetRs explore the nucleus and reach their target by 3D diffusion interspersed with transient interactions with non-cognate sites, consistent with the facilitated diffusion model. Remarkably, nonspecific binding times are broadly distributed, underlining a lack of clear delimitation between specific and nonspecific interactions. However, the search kinetics is not determined by diffusive transport but by the low association rate to nonspecific sites. Altogether, our results provide a comprehensive view of the recruitment dynamics of proteins at specific loci in mammalian cells.
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
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
Gossen, M., & Bujard, H. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5547 · Cited by 4,943
Anomalous diffusion in disordered media: Statistical mechanisms, models and physical applications
Bouchaud, J.-P., & Georges, A. (1990) · Physics Reports · doi:10.1016/0370-1573(90)90099-n · Cited by 4,162
A census of human transcription factors: function, expression and evolution
Vaquerizas, J. M., Kummerfeld, S. K., Teichmann, S. A., & Luscombe, N. M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2538 · Cited by 1,573
Nuclear organization of the genome and the potential for gene regulation
Fraser, P., & Bickmore, W. (2007) · Nature · doi:10.1038/nature05916 · Cited by 734
From Silencing to Gene Expression
Janicki, S. M., Tsukamoto, T., Salghetti, S. E., Tansey, W. P., Sachidanandam, R., Prasanth, K. V., Ried, T., Shav-Tal, Y., Bertrand, E., Singer, R. H., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00171-0 · Cited by 704
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
Self-citationInsights from genomic profiling of transcription factors
Farnham, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2636 · Cited by 519
Large-scale chromatin unfolding and remodeling induced by VP16 acidic activation domain
Tumbar, T., Sudlow, G., & Belmont, A. S. (1999) · The Journal of Cell Biology · doi:10.1083/jcb.145.7.1341 · Cited by 351
Cited by
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
Self-citationCTCF 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
Self-citationMir, M., Stadler, M. R., Ortiz, S. A., Hannon, C. E., Harrison, M. M., Darzacq, X., & Eisen, M. B. (2018) · eLife · doi:10.7554/elife.40497 · Cited by 207
Self-citationDense Bicoid hubs accentuate binding along the morphogen gradient
Mir, M., Reimer, A., Haines, J. E., Li, X.-Y., Stadler, M., Garcia, H., Eisen, M. B., & Darzacq, X. (2017) · Genes & Development · doi:10.1101/gad.305078.117 · Cited by 192
Self-citationFunctional divergence of TBP homologs through distinct DNA-binding dynamics
Cui, J. H., Kwan, J. Z. J., Faghihi, A., Nguyen, T. F., & Teves, S. S. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf436 · Cited by 5
Metadata
- Authors
- Normanno, D., Boudarène, L., Dugast-Darzacq, C., Chen, J., Richter, C., Proux, F., Bénichou, O., Voituriez, R., Darzacq, X., & Dahan, M.
- Venue
- Nature Communications
- Published
- 2015-07-07
- Volume
- 6
- Issue
- 1
- Pages
- 7357-7357
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W793787745
- Cited by
- 194
- References
- 8
- FWCI
- 8.23
- 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: Probing the target search of DNA-binding proteins in mammalian cells using TetR as model searcher. https://app.cochat.ai/papers/10.1038/ncomms8357
- The paper
- Normanno, D., Boudarène, L., Dugast-Darzacq, C., Chen, J., Richter, C., Proux, F., Bénichou, O., Voituriez, R., Darzacq, X., & Dahan, M. (2015). Probing the target search of DNA-binding proteins in mammalian cells using TetR as model searcher. Nature Communications. https://doi.org/10.1038/ncomms8357
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.