Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 415

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mechanism of action of the lexA gene product.

Open access
Brent, R, Ptashne, M·1981·Proceedings of the National Academy of Sciences

Abstract

Genetic experiments have suggested that the lexA gene product of Escherichia coli represses a number of genes involved in the response to DNA damage, including recA and lexA. We purified the lexA gene product from bacterial strains that bear plasmids that direct the synthesis of large amounts of the protein. Purified lexA protein bound to two symmetrical DNA sequences in front of lexA and one in front of recA, protecting them from digestion with DNase I and blocking methylation of purines in the major groove. lexA protein repressed transcription of both genes in vitro. lexA protein binds to the two sites in front of the lexA gene with approximately the same affinity and with greater affinity to the single site in front of the recA gene. The affinity of lexA protein for its operator sites was measured under conditions that mimic conditions in vivo. Differences in the affinity with which lexA protein binds to the operators of genes it represses may account for the differences in the timing and extent of their induction after DNA damage.

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.78.7.4204

Cites

1 of 1 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

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

Cited by

See all 415

Metadata

Authors
Brent, R., & Ptashne, M.
Venue
Proceedings of the National Academy of Sciences
Published
1981-07
Volume
78
Issue
7
Pages
4204-4208
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1994079004
Cited by
415
References
1
FWCI
11.51
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: Mechanism of action of the lexA gene product. https://app.cochat.ai/papers/10.1073/pnas.78.7.4204
The paper
Brent, R., & Ptashne, M. (1981). Mechanism of action of the lexA gene product. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.78.7.4204

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.