Evidence map›Paper›PMID 24667330›Full record

ReviewCurrent opinion in microbiology2014

The cyanobacterial clock and metabolism.

Gopal Pattanayak, Michael J Rust

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Journal of bacteriology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Toward Multiscale Models of Cyanobacterial Growth: A Modular Approach.Frontiers in bioengineering and biotechnology · 2016
    Review
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

2 authors at 1 institution in 1 country.

Gopal PattanayakDepartment of Molecular Genetics and Cell Biology, Institute for Genomics and Systems Biology, University of Chicago, 900 E 57th Street, Chicago, IL 60637, United States.
Michael J RustDepartment of Molecular Genetics and Cell Biology, Institute for Genomics and Systems Biology, University of Chicago, 900 E 57th Street, Chicago, IL 60637, United States. Electronic address: mrust@uchicago.edu.
University of Chicago · US

Funding

Coupling between Circadian Rhythms and Metaboilsm in CyanobacteriaR01GM107369 · NIGMS · UNIVERSITY OF CHICAGO · PI RUST, MICHAEL · 2013 to 2017
$1.5M
NIGMS NIH HHS R01 GM107369
6 · The paper itself

Abstract

Cyanobacteria possess the simplest known circadian clock, which presents a unique opportunity to study how rhythms are generated and how input signals from the environment reset the clock time. The kaiABC locus forms the core of the oscillator, and the remarkable ability to reconstitute oscillations using purified KaiABC proteins has allowed researchers to study mechanism using the tools of quantitative biochemistry. Autotrophic cyanobacteria experience major shifts in metabolism following a light-dark transition, and recent work suggests that input mechanisms that couple the day-night cycle to the clock involve energy and redox metabolites acting directly on clock proteins. We offer a summary of the current state of knowledge in this system and present a perspective for future lines of investigation.

Indexed as

Biological ClocksCircadian RhythmMetabolismBacterial ProteinsCircadian Rhythm Signaling Peptides and ProteinsCyanobacteriaDarknessLightBacterial ProteinsCircadian Rhythm Signaling Peptides and ProteinsKaiA protein, cyanobacteriaKaiB protein, cyanobacteriaKaiC protein, cyanobacteria

Identifiers

PMID24667330
PMCPMC4068238
OpenAlexW1973391752

What OpenQuestion holds

Textmetadata
LicenceTDM
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.