Evidence map›Paper›PMID 30240603›Full record

ArticleiScience2018

Coupling of DNA Replication and Negative Feedback Controls Gene Expression for Cell-Fate Decisions.

Qiuyan Shao, Michael G Cortes, Jimmy T Trinh, Jingwen Guan, Gábor Balázsi, Lanying Zeng

Open access · goldAbstract read
In one paragraph

Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bacteriophage self-counting in the presence of viral replication.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Qiuyan ShaoDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA; Center for Phage Technology, Texas A&M University, College Station, TX 77843, USA.
Michael G CortesThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.
Jimmy T TrinhDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA; Center for Phage Technology, Texas A&M University, College Station, TX 77843, USA.
Jingwen GuanCenter for Phage Technology, Texas A&M University, College Station, TX 77843, USA; Molecular and Environmental Plant Science, Texas A&M University, College Station, TX 77843, USA.
Gábor BalázsiThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA. Electronic address: gabor.balazsi@stonybrook.edu.
Lanying ZengDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA; Center for Phage Technology, Texas A&M University, College Station, TX 77843, USA; Molecular and Environmental Plant Science, Texas A&M University, College Station, TX 77843, USA. Electronic address: lzeng@tamu.edu.
Texas A&M University · USStony Brook University · US

Funding

Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
Integration of Diverse Inputs Determines Developmental OutcomesR01GM107597 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI BALAZSI, GABOR, ZENG, LANYING · 2015 to 2018
$1.7M
NIGMS NIH HHS R01 GM107597NIGMS NIH HHS R35 GM122561
6 · The paper itself

Abstract

Cellular decision-making arises from the expression of genes along a regulatory cascade, which leads to a choice between distinct phenotypic states. DNA dosage variations, often introduced by replication, can significantly affect gene expression to ultimately bias decision outcomes. The bacteriophage lambda system has long served as a paradigm for cell-fate determination, yet the effect of DNA replication remains largely unknown. Here, through single-cell studies and mathematical modeling we show that DNA replication drastically boosts cI expression to allow lysogenic commitment by providing more templates. Conversely, expression of CII, the upstream regulator of cI, is surprisingly robust to DNA replication due to the negative autoregulation of the Cro repressor. Our study exemplifies how living organisms can not only utilize DNA replication for gene expression control but also implement mechanisms such as negative feedback to allow the expression of certain genes to be robust to dosage changes resulting from DNA replication.

Indexed as

BioinformaticsGene NetworkMathematical BiosciencesMicrobial Genomics

Identifiers

PMID30240603
PMCPMC6137276
OpenAlexW2883987736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.