Evidence map›Paper›PMID 32128557›Full record

ArticleDatabase : the journal of biological databases and curation2020

Incorporation of a unified protein abundance dataset into the Saccharomyces genome database.

Robert S Nash, Shuai Weng, Kalpana Karra, Edith D Wong, Stacia R Engel, J Michael Cherry, SGD Project

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Robert S NashDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
Shuai WengDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
Kalpana KarraDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
Edith D WongDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
Stacia R EngelDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
J Michael CherryDepartment of Genetics, Stanford University, 3165 Porter Drive, Palo Alto, CA 94304, USA.
SGD Project

Funding

Text mining in the CloudU24HG010859 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAROL J BULT, PAUL Warren STERNBERG · 2019 to 2026
$42.0M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
GENOMIC DATABASE FOR THE YEAST SACCHAROMYCESP41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 1995 to 2010
$27.1M
Genomic Resource for the Yeast SaccharomycesU41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 2011 to 2020
$26.4M
NHGRI NIH HHS P41 HG001315NHGRI NIH HHS U24 HG010859NHGRI NIH HHS U41 HG001315NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

The identification and accurate quantitation of protein abundance has been a major objective of proteomics research. Abundance studies have the potential to provide users with data that can be used to gain a deeper understanding of protein function and regulation and can also help identify cellular pathways and modules that operate under various environmental stress conditions. One of the central missions of the Saccharomyces Genome Database (SGD; https://www.yeastgenome.org) is to work with researchers to identify and incorporate datasets of interest to the wider scientific community, thereby enabling hypothesis-driven research. A large number of studies have detailed efforts to generate proteome-wide abundance data, but deeper analyses of these data have been hampered by the inability to compare results between studies. Recently, a unified protein abundance dataset was generated through the evaluation of more than 20 abundance datasets, which were normalized and converted to common measurement units, in this case molecules per cell. We have incorporated these normalized protein abundance data and associated metadata into the SGD database, as well as the SGD YeastMine data warehouse, resulting in the addition of 56 487 values for untreated cells grown in either rich or defined media and 28 335 values for cells treated with environmental stressors. Abundance data for protein-coding genes are displayed in a sortable, filterable table on Protein pages, available through Locus Summary pages. A median abundance value was incorporated, and a median absolute deviation was calculated for each protein-coding gene and incorporated into SGD. These values are displayed in the Protein section of the Locus Summary page. The inclusion of these data has enhanced the quality and quantity of protein experimental information presented at SGD and provides opportunities for researchers to access and utilize the data to further their research.

Indexed as

Databases, GeneticGenome, FungalGenomicsInternetProteomeProteomicsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsUser-Computer InterfaceProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID32128557
PMCPMC7054198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.