Evidence map›Paper›PMID 32759329›Full record

ArticleG3 (Bethesda, Md.)2020

Application of Transcriptional Gene Modules to Analysis of

Michael Cary, Katie Podshivalova, Cynthia Kenyon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Rotenone ModulatesFrontiers in immunology · 2022
    Article
  7. Article
  8. 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

3 authors.

Michael CaryProgram in Biomedical Informatics, University of California at San Francisco, San Francisco, California 94158.
Katie PodshivalovaCalico Life Sciences LLC, South San Francisco, California 94080.
Cynthia KenyonDepartment of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, California 94158 cynthia@calicolabs.com.

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
GENETIC ANALYSIS OF AGING IN C ELEGANSR01AG011816 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ASHRAFI, KAVEH · 1994 to 2018
$3.6M
NIA NIH HHS R01 AG011816NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

Identification of co-expressed sets of genes (gene modules) is used widely for grouping functionally related genes during transcriptomic data analysis. An organism-wide atlas of high-quality gene modules would provide a powerful tool for unbiased detection of biological signals from gene expression data. Here, using a method based on independent component analysis we call DEXICA, we have defined and optimized 209 modules that broadly represent transcriptional wiring of the key experimental organism

Indexed as

Caenorhabditis elegansGene Regulatory NetworksAnimalsGene ExpressionGene Expression ProfilingTranscription FactorsTranscription Factorsagingatfs-1functional annotation of genesgene co-expressiongene expression data analysishif-1independent component analysismicroarraymitochondrial unfolded protein responserespiration

Identifiers

PMID32759329
PMCPMC7534440

What OpenQuestion holds

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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.