The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
The Transcription Factor Titration Effect Dictates Level of Gene Expression
Open accessAbstract
Models of transcription are often built around a picture of RNA polymerase and transcription factors (TFs) acting on a single copy of a promoter. However, most TFs are shared between multiple genes with varying binding affinities. Beyond that, genes often exist at high copy number; in multiple, identical copies on the chromosome or on plasmids or viral vectors with copy numbers in the hundreds. Using a thermodynamic model, we characterize the interplay between TF copy number and the demand for that TF. We demonstrate the parameter-free predictive power of this model as a function of the copy number of the TF and the number and affinities of the available specific binding sites; such predictive control is important for the understanding of transcription and the desire to quantitatively design the output of genetic circuits. Finally we use these experiments to dynamically measure plasmid copy number through the cell cycle.
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
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
Datsenko, K. A., & Wanner, B. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120163297 · Cited by 14,782
Escherichia coli and Salmonella :cellular and molecular biology
Neidhardt, F. C. (1996) · ASM Press eBooks · Cited by 8,197
Lutz, R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.6.1203 · Cited by 1,693
Foundations for engineering biology
Endy, D. (2005) · Nature · doi:10.1038/nature04342 · Cited by 1,511
Gene Regulation at the Single-Cell Level
Rosenfeld, N., Young, J. W., Alon, U., Swain, P. S., & Elowitz, M. B. (2005) · Science · doi:10.1126/science.1106914 · Cited by 1,104
Andersen, J. B., Sternberg, C., Poulsen, L. K., Bjørn, S. P., Givskov, M., & Molin, S. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.6.2240-2246.1998 · Cited by 1,033
Multistability in the lactose utilization network of Escherichia coli
Ozbudak, E. M., Thattai, M., Lim, H. N., Shraiman, B. I., & van Oudenaarden, A. (2004) · Nature · doi:10.1038/nature02298 · Cited by 1,030
Trans-complementable copy-number mutants of plasmid ColE1
Twigg, A. J., & Sherratt, D. (1980) · Nature · doi:10.1038/283216a0 · Cited by 962
Modulation of Chemical Composition and Other Parameters of the Cell by Growth Rate
Bremer, H. J. (1999) · Cited by 915
Transcription activation by catabolite activator protein (CAP)
Busby, S., & Ebright, R. H. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.3161 · Cited by 800
Cited by
An Automated Model Test System for Systematic Development and Improvement of Gene Expression Models
Reis, A. C., & Salis, H. M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00394 · Cited by 166
Interactions between pluripotency factors specify cis-regulation in embryonic stem cells
Fiore, C., & Cohen, B. A. (2016) · Genome Research · doi:10.1101/gr.200733.115 · Cited by 50
Metadata
- Authors
- Brewster, R. C., Weinert, F. M., Garcia, H. G., Song, D., Rydenfelt, M., & Phillips, R.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 156
- Issue
- 6
- Pages
- 1312-1323
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2129149800
- Cited by
- 256
- References
- 65
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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: The Transcription Factor Titration Effect Dictates Level of Gene Expression. https://app.cochat.ai/papers/10.1016/j.cell.2014.02.022
- The paper
- Brewster, R. C., Weinert, F. M., Garcia, H. G., Song, D., Rydenfelt, M., & Phillips, R. (2014). The Transcription Factor Titration Effect Dictates Level of Gene Expression. Cell. https://doi.org/10.1016/j.cell.2014.02.022
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.
