Evidence map›Paper›PMID 29531064›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Reconstructing a metazoan genetic pathway with transcriptome-wide epistasis measurements.

David Angeles-Albores, Carmie Puckett Robinson, Brian A Williams, Barbara J Wold, Paul W Sternberg

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

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  10. AbioRxiv : the preprint server for biology · 2023
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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

5 authors at 2 institutions in 1 country.

David Angeles-AlboresDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Carmie Puckett RobinsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Brian A WilliamsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Barbara J WoldDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Paul W SternbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125; pws@caltech.edu.ORCID 0000-0002-7699-0173
California Institute of Technology · USUniversity of Southern California · US

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Howard Hughes Medical InstituteNIH HHS P40 OD010440
6 · The paper itself

Abstract

RNA-sequencing (RNA-seq) is commonly used to identify genetic modules that respond to perturbations. In single cells, transcriptomes have been used as phenotypes, but this concept has not been applied to whole-organism RNA-seq. Also, quantifying and interpreting epistatic effects using expression profiles remains a challenge. We developed a single coefficient to quantify transcriptome-wide epistasis that reflects the underlying interactions and which can be interpreted intuitively. To demonstrate our approach, we sequenced four single and two double mutants of

Indexed as

Epistasis, GeneticGene Regulatory NetworksTranscriptomeAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsHigh-Throughput Nucleotide SequencingCaenorhabditis elegans Proteinsepistasisgene expressiongeneticshypoxiatranscriptomics

Identifiers

PMID29531064
PMCPMC5879656
OpenAlexW2791097380

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.