Evidence map›Paper›PMID 23965338›Full record

ArticleCirculation research2013

Integration of cardiac proteome biology and medicine by a specialized knowledgebase.

Nobel C Zong, Haomin Li, Hua Li, Maggie P Y Lam, Rafael C Jimenez, Christina S Kim, Ning Deng, Allen K Kim, Jeong Ho Choi, Ivette Zelaya and 14 more

Abstract read
In one paragraph

Article in Circulation research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.American journal of clinical and experimental urology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Mouse Heart Attack Research Tool 1.0 database.American journal of physiology. Heart and circulatory physiology · 2018
    Article
  14. Article
  15. Mitoproteomics: Tackling Mitochondrial Dysfunction in Human Disease.Oxidative medicine and cellular longevity · 2018
    Review
  16. Article
  17. Proteomics Research in Cardiovascular Medicine and Biomarker Discovery.Journal of the American College of Cardiology · 2016
    Review
  18. Article
  19. Article
  20. 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

24 authors.

Nobel C ZongFrom the NHLBI Proteomics Center at UCLA/NHLBI Proteomics Program.
Haomin Li
Hua Li
Maggie P Y Lam
Rafael C Jimenez
Christina S Kim
Ning Deng
Allen K Kim
Jeong Ho Choi
Ivette Zelaya
David Liem
David Meyer
Jacob Odeberg
Caiyun Fang
Hao-Jie Lu
Tao Xu
James Weiss
Huilong Duan
Mathias Uhlen
John R Yates
Rolf Apweiler
Junbo Ge
Henning Hermjakob
Peipei Ping

Funding

PKC EPSILON AND SRC PTK SIGNALING IN PRECONDITIONINGR01HL063901 · NHLBI · UNIVERSITY OF LOUISVILLE · PI PING, PEIPEI · 2000 to 2009
$3.3M
PKC epsilon and Src PTK Signaling in PreconditioningR37HL063901 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PING, PEIPEI · 2010 to 2016
$2.7M
NHLBI NIH HHS HHSN268201000035CNHLBI NIH HHS R01 HL063901NHLBI NIH HHS R01HL063901NHLBI NIH HHS R37 HL063901NHLBI NIH HHS R37HL063901PHS HHS R37HHSN268201000035C
6 · The paper itself

Abstract

rationaleOmics sciences enable a systems-level perspective in characterizing cardiovascular biology. Integration of diverse proteomics data via a computational strategy will catalyze the assembly of contextualized knowledge, foster discoveries through multidisciplinary investigations, and minimize unnecessary redundancy in research efforts.

objectiveThe goal of this project is to develop a consolidated cardiac proteome knowledgebase with novel bioinformatics pipeline and Web portals, thereby serving as a new resource to advance cardiovascular biology and medicine. METHODS AND

resultsWe created Cardiac Organellar Protein Atlas Knowledgebase (COPaKB; www.HeartProteome.org), a centralized platform of high-quality cardiac proteomic data, bioinformatics tools, and relevant cardiovascular phenotypes. Currently, COPaKB features 8 organellar modules, comprising 4203 LC-MS/MS experiments from human, mouse, drosophila, and Caenorhabditis elegans, as well as expression images of 10,924 proteins in human myocardium. In addition, the Java-coded bioinformatics tools provided by COPaKB enable cardiovascular investigators in all disciplines to retrieve and analyze pertinent organellar protein properties of interest.

conclusionsCOPaKB provides an innovative and interactive resource that connects research interests with the new biological discoveries in protein sciences. With an array of intuitive tools in this unified Web server, nonproteomics investigators can conveniently collaborate with proteomics specialists to dissect the molecular signatures of cardiovascular phenotypes.

Indexed as

Databases, ProteinKnowledge BasesSystems BiologySystems IntegrationAccess to InformationAnimalsCaenorhabditis elegansDiffusion of InnovationDrosophilaHumansMiceMuscle ProteinsMyocardiumProteomicsSoftware DesignWorkflowMuscle Proteinscomputational biologyCOPaKBmitochondriaOmics scienceorganellesproteomicstranslational medical research

Identifiers

PMID23965338
PMCPMC4076475

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.