The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Structural perspective of cooperative transcription factor binding
Open accessAbstract
In prokaryotes, individual transcription factors (TFs) can recognize long DNA motifs that are alone sufficient to define the genes that they induce or repress. In contrast, in higher organisms that have larger genomes, TFs recognize sequences that are too short to define unique genomic positions. In addition, development of multicellular organisms requires molecular systems that are capable of executing combinatorial logical operations. Co-operative recognition of DNA by multiple TFs allows both definition of unique genomic positions in large genomes, and complex information processing at the level of individual regulatory elements. The TFs can co-operate in multiple different ways, and the precise mechanism used for co-operation determines important features of the regulatory interactions. Here, we present an overview of the structural basis of the different mechanisms by which TFs can cooperate, focusing on insight from recent functional studies and structural analyses of specific TF-TF-DNA complexes.
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
Transcription factors: from enhancer binding to developmental control
Spitz, F., & Furlong, E. E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3207 · Cited by 2,227
Pioneer transcription factors: establishing competence for gene expression
Zaret, K. S., & Carroll, J. S. (2011) · Genes & Development · doi:10.1101/gad.176826.111 · Cited by 1,589
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
Crystal Structure of a Five-Finger GLI-DNA Complex: New Perspectives on Zinc Fingers
Pavletich, N. P., & Pabo, C. O. (1993) · Science · doi:10.1126/science.8378770 · Cited by 669
Klemm, J. D., & Pabo, C. O. (1996) · Genes & Development · doi:10.1101/gad.10.1.27 · Cited by 134
Coll, M., Seidman, J. G., & Müller, C. W. (2002) · Structure · doi:10.1016/s0969-2126(02)00722-0 · Cited by 121
Cited by
The Human Transcription Factors
Lambert, S. A., Jolma, A., Campitelli, L. F., Das, P. K., Yin, Y., Albu, M., Chen, X., Taipale, J., Hughes, T. R., & Weirauch, M. T. (2018) · Cell · doi:10.1016/j.cell.2018.01.029 · Cited by 3,399
Self-citationBase-resolution models of transcription-factor binding reveal soft motif syntax
Avsec, Ž., Weilert, M., Shrikumar, A., Krueger, S., Alexandari, A., Dalal, K., Fropf, R., McAnany, C., Gagneur, J., Kundaje, A., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00782-6 · Cited by 610
The MYC transcription factor network: balancing metabolism, proliferation and oncogenesis
Carroll, P. A., Freie, B. W., Mathsyaraja, H., & Eisenman, R. N. (2018) · Frontiers of Medicine · doi:10.1007/s11684-018-0650-z · Cited by 289
DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers
de Almeida, B. P., Reiter, F., Pagani, M., & Stark, A. (2021) · doi:10.1101/2021.10.05.463203 · Cited by 284
de Almeida, B. P., Reiter, F., Pagani, M., & Stark, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01048-5 · Cited by 283
Metadata
- Authors
- Morgunova, E., & Taipale, J.
- Venue
- Current Opinion in Structural Biology
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 47
- Pages
- 1-8
- ISSN
- 0959-440X (ISSN-L)
- OpenAlex
- W2603617582
- Cited by
- 247
- References
- 6
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Structural perspective of cooperative transcription factor binding. https://app.cochat.ai/papers/10.1016/j.sbi.2017.03.006
- The paper
- Morgunova, E., & Taipale, J. (2017). Structural perspective of cooperative transcription factor binding. Current Opinion in Structural Biology. https://doi.org/10.1016/j.sbi.2017.03.006
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.
