Evidence map›Paper›PMID 24350770›Full record

ArticleJournal of proteome research2014

MOPED enables discoveries through consistently processed proteomics data.

Roger Higdon, Elizabeth Stewart, Larissa Stanberry, Winston Haynes, John Choiniere, Elizabeth Montague, Nathaniel Anderson, Gregory Yandl, Imre Janko, William Broomall and 4 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Proteomics for systems toxicology.Computational and structural biotechnology journal · 2014
    Review
  9. Article
  10. 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

14 authors.

Roger Higdon
Elizabeth Stewart
Larissa Stanberry
Winston Haynes
John Choiniere
Elizabeth Montague
Nathaniel Anderson
Gregory Yandl
Imre Janko
William Broomall
Simon Fishilevich
Doron Lancet
Natali Kolker
Eugene Kolker

Funding

Coordinating Center for Beta Cell Biology ConsortiumU01DK072473 · NIDDK · VANDERBILT UNIVERSITY · PI MAGNUSON, MARK A · 2005 to 2014
$61.0M
Signaling and Epigenetic Control of Beta Cell Development and RegenerationU01DK089571 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI ZARET, KENNETH · 2010 to 2011
$1.6M
NIDDK NIH HHS U01 DK072473NIDDK NIH HHS U01DK072473NIDDK NIH HHS U01 DK089571NIDDK NIH HHS U01DK089571
6 · The paper itself

Abstract

The Model Organism Protein Expression Database (MOPED, http://moped.proteinspire.org) is an expanding proteomics resource to enable biological and biomedical discoveries. MOPED aggregates simple, standardized and consistently processed summaries of protein expression and metadata from proteomics (mass spectrometry) experiments from human and model organisms (mouse, worm, and yeast). The latest version of MOPED adds new estimates of protein abundance and concentration as well as relative (differential) expression data. MOPED provides a new updated query interface that allows users to explore information by organism, tissue, localization, condition, experiment, or keyword. MOPED supports the Human Proteome Project's efforts to generate chromosome- and diseases-specific proteomes by providing links from proteins to chromosome and disease information as well as many complementary resources. MOPED supports a new omics metadata checklist to harmonize data integration, analysis, and use. MOPED's development is driven by the user community, which spans 90 countries and guides future development that will transform MOPED into a multiomics resource. MOPED encourages users to submit data in a simple format. They can use the metadata checklist to generate a data publication for this submission. As a result, MOPED will provide even greater insights into complex biological processes and systems and enable deeper and more comprehensive biological and biomedical discoveries.

Indexed as

Databases, ProteinProteomicsAnimalsHumansUser-Computer Interface

Identifiers

PMID24350770
PMCPMC4039175

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.