Evidence map›Paper›PMID 25404128›Full record

ArticleNucleic acids research2015

Beyond protein expression, MOPED goes multi-omics.

Elizabeth Montague, Imre Janko, Larissa Stanberry, Elaine Lee, John Choiniere, Nathaniel Anderson, Elizabeth Stewart, William Broomall, Roger Higdon, Natali Kolker and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Proteomics Research in Schizophrenia.Frontiers in cellular neuroscience · 2016
    Review
  7. Genic insights from integrated human proteomics in GeneCards.Database : the journal of biological databases and curation · 2016
    Article
  8. Review
  9. Review
  10. Biological databases for human research.Genomics, proteomics & bioinformatics · 2015
    Review
  11. Review
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

11 authors.

Elizabeth MontagueBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Imre JankoHigh-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Larissa StanberryBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Elaine LeeHigh-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
John ChoiniereBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Nathaniel AndersonBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Elizabeth StewartBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
William BroomallHigh-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Roger HigdonBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Natali KolkerHigh-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101.
Eugene KolkerBioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101 Departments of Biomedical Informatics and Medical Education and Pediatrics, University of Washington, Seattle, WA, USA 98109 Department of Chemistry and Chemical Biology, College of Science, Northeastern University, Boston, MA 02115 eugene.kolker@seattlechildrens.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MOPED (Multi-Omics Profiling Expression Database; http://moped.proteinspire.org) has transitioned from solely a protein expression database to a multi-omics resource for human and model organisms. Through a web-based interface, MOPED presents consistently processed data for gene, protein and pathway expression. To improve data quality, consistency and use, MOPED includes metadata detailing experimental design and analysis methods. The multi-omics data are integrated through direct links between genes and proteins and further connected to pathways and experiments. MOPED now contains over 5 million records, information for approximately 75,000 genes and 50,000 proteins from four organisms (human, mouse, worm, yeast). These records correspond to 670 unique combinations of experiment, condition, localization and tissue. MOPED includes the following new features: pathway expression, Pathway Details pages, experimental metadata checklists, experiment summary statistics and more advanced searching tools. Advanced searching enables querying for genes, proteins, experiments, pathways and keywords of interest. The system is enhanced with visualizations for comparing across different data types. In the future MOPED will expand the number of organisms, increase integration with pathways and provide connections to disease.

Indexed as

Databases, GeneticGene Expression ProfilingProteomicsAnimalsHumansInternetMiceProteinsProteins

Identifiers

PMID25404128
PMCPMC4383969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.