Evidence map›Paper›PMID 24167288›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Cell responses only partially shape cell-to-cell variations in protein abundances in Escherichia coli chemotaxis.

Sayak Mukherjee, Sang-Cheol Seok, Veronica J Vieland, Jayajit Das

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 2 countries.

Sayak MukherjeeBattelle Center for Mathematical Medicine, The Research Institute at the Nationwide Children's Hospital, and Departments of Pediatrics, Physics, Statistics, and Biophysics Graduate Program, The Ohio State University, Columbus, OH 43205.
Sang-Cheol Seok
Veronica J Vieland
Jayajit Das
Nationwide Children's Hospital · US

Funding

Combining epidemiologic designs to model genetic risks for psychiatric disordersR01MH086117 · NIMH · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI VIELAND, VERONICA J. · 2009 to 2011
$2.7M
A computational model to uncover basic signaling mechanisms of NK cell activationR56AI090115 · NIAID · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI DAS, JAYAJIT · 2012 to 2012
$186k
NIAID NIH HHS AI090115NIAID NIH HHS R56 AI090115NIMH NIH HHS MH086117NIMH NIH HHS R01 MH086117
6 · The paper itself

Abstract

Cell-to-cell variations in protein abundance in clonal cell populations are ubiquitous in living systems. Because protein composition determines responses in individual cells, it stands to reason that the variations themselves are subject to selective pressures. However, the functional role of these cell-to-cell differences is not well understood. One way to tackle questions regarding relationships between form and function is to perturb the form (e.g., change the protein abundances) and observe the resulting changes in some function. Here, we take on the form-function relationship from the inverse perspective, asking instead what specific constraints on cell-to-cell variations in protein abundance are imposed by a given functional phenotype. We develop a maximum entropy-based approach to posing questions of this type and illustrate the method by application to the well-characterized chemotactic response in Escherichia coli. We find that full determination of observed cell-to-cell variations in protein abundances is not inherent in chemotaxis itself but, in fact, appears to be jointly imposed by the chemotaxis program in conjunction with other factors (e.g., the protein synthesis machinery and/or additional nonchemotactic cell functions, such as cell metabolism). These results illustrate the power of maximum entropy as a tool for the investigation of relationships between biological form and function.

Indexed as

Models, BiologicalBacterial ProteinsBiophysical PhenomenaChemotaxisEntropyEscherichia coliEscherichia coli ProteinsMembrane ProteinsMethyl-Accepting Chemotaxis ProteinsSignal TransductionBacterial ProteinsEscherichia coli ProteinsMembrane ProteinsMethyl-Accepting Chemotaxis Proteinscell signalingcorrelated protein expressionsmaximum caliberstatistical physics

Identifiers

PMID24167288
PMCPMC3832028
OpenAlexW1989886503

What OpenQuestion holds

Textmetadata
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.