Evidence map›Paper›PMID 22135418›Full record

ArticleBioinformatics (Oxford, England)2012

Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data.

Alla Karnovsky, Terry Weymouth, Tim Hull, V Glenn Tarcea, Giovanni Scardoni, Carlo Laudanna, Maureen A Sartor, Kathleen A Stringer, H V Jagadish, Charles Burant and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 259 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
259citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

259 citing papers in PubMed, 1 synthesis or guideline pooled it, 430 citations in OpenAlex.

  1. Pooled it
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  14. PMconv: How to Compare Proteomes and Metabolomes?International journal of molecular sciences · 2026
    Article
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  17. Age-Associated Metabolomic Changes in Human Spermatozoa.International journal of molecular sciences · 2026
    Article
  18. Article
  19. Review
  20. Article

199 more citing papers are in PubMed but not listed here.

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

12 authors at 1 institution in 2 countries.

Alla KarnovskyCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, USA. akarnovs@umich.edu
Terry Weymouth
Tim Hull
V Glenn Tarcea
Giovanni Scardoni
Carlo Laudanna
Maureen A Sartor
Kathleen A Stringer
H V Jagadish
Charles Burant
Brian Athey
Gilbert S Omenn
University of Verona · IT

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
Using Systems Biology to Understand Islet Adaptation and Failure DiabetesR01DK079084 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2007 to 2010
$2.1M
Biology of Aerobic Capacity and Insulin ResistanceR01DK077200 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2008 to 2012
$1.5M
Literature and Data Driven Hypothesis Generation for High Throughput ExperimentsR01LM010138 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JAGADISH, H V · 2009 to 2010
$1.0M
NIDA NIH HHS U54 DA021519NIDA NIH HHS U54DA21519NIDDK NIH HHS 5P30DK089503NIDDK NIH HHS 5R01DK079084NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK077200NIDDK NIH HHS R01 DK079084NIEHS NIH HHS NIHP30ES017885NIEHS NIH HHS P30 ES017885NLM NIH HHS R01 LM010138
6 · The paper itself

Abstract

motivationMetabolomics is a rapidly evolving field that holds promise to provide insights into genotype-phenotype relationships in cancers, diabetes and other complex diseases. One of the major informatics challenges is providing tools that link metabolite data with other types of high-throughput molecular data (e.g. transcriptomics, proteomics), and incorporate prior knowledge of pathways and molecular interactions.

resultsWe describe a new, substantially redesigned version of our tool Metscape that allows users to enter experimental data for metabolites, genes and pathways and display them in the context of relevant metabolic networks. Metscape 2 uses an internal relational database that integrates data from KEGG and EHMN databases. The new version of the tool allows users to identify enriched pathways from expression profiling data, build and analyze the networks of genes and metabolites, and visualize changes in the gene/metabolite data. We demonstrate the applications of Metscape to annotate molecular pathways for human and mouse metabolites implicated in the pathogenesis of sepsis-induced acute lung injury, for the analysis of gene expression and metabolite data from pancreatic ductal adenocarcinoma, and for identification of the candidate metabolites involved in cancer and inflammation. AVAILABILITY: Metscape is part of the National Institutes of Health-supported National Center for Integrative Biomedical Informatics (NCIBI) suite of tools, freely available at http://metscape.ncibi.org. It can be downloaded from http://cytoscape.org or installed via Cytoscape plugin manager. CONTACT: metscape-help@umich.edu; akarnovs@umich.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Gene Expression ProfilingMetabolomicsSoftwareAdenocarcinomaAnimalsHumansInflammationMetabolic Networks and PathwaysMicePancreatic NeoplasmsProteomicsSepsis

Identifiers

PMID22135418
PMCPMC3268237
OpenAlexW2140207977

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.