Evidence map›Paper›PMID 23027439›Full record

ReviewProteomics. Clinical applications2012

Functional protein microarray as molecular decathlete: a versatile player in clinical proteomics.

Heng Zhu, Eric Cox, Jiang Qian

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2012. 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. Protein Array-based Approaches for Biomarker Discovery in Cancer.Genomics, proteomics & bioinformatics · 2017
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  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

3 authors.

Heng ZhuDepartment of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, MD, USA. Heng.Zhu@jhmi.edu
Eric Cox
Jiang Qian

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
Monospecific monoclonal antibodies against human transcription factorsU54HG006434 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BLACKSHAW, SETH, ZHU, HENG · 2011 to 2015
$13.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Lesch-Nyhan Disease: A Model for Complex Genetic, Proteomic & Metabolic PathwaysR24DK082840 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRIEDMANN, THEODORE · 2008 to 2012
$7.3M
Networks, Pathways and Dynamics of Lysine ModificationU54GM103520 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S. · 2012 to 2013
$7.0M
Visual Programming Tool for Integrated Gene/Protein Networks in Cancer ResearchR44CA125807 · NCI · INCOGEN, INC. · PI SASINOWSKI, MACIEK · 2008 to 2011
$3.4M
DNA-Binding Activity of Human Transcription FactorsR01GM076102 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2014
$2.6M
Computational Analysis of Retinal Regulatory Interactions: structure and dynamicsR01EY017589 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2007 to 2010
$1.1M
Application of Bioinformatics to Retinal Gene RegulationR03EY015684 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2004 to 2006
$487k
Dynamic Usage of Network Motifs in Retinal Development and DiseasesR21EY021897 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2011 to 2012
$446k
Structural Protein Networks ("Interactome") in HerpesvirusesR21AI070740 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2007
$443k
Visual Programming Tool for Integration of Gene and Protein Cancer Profiling DataR43CA125807 · NCI · INCOGEN, INC. · PI SASINOWSKI, MACIEK · 2007 to 2007
$150k
NCI NIH HHS CA125807NCI NIH HHS CA160036NCI NIH HHS R43 CA125807NCI NIH HHS R44 CA125807NCI NIH HHS U24 CA160036NCRR NIH HHS RR020839NCRR NIH HHS U54 RR020839NEI NIH HHS R01 EY017589NEI NIH HHS R01EY017589NEI NIH HHS R03 EY015684NEI NIH HHS R21 EY021897NHGRI NIH HHS HG006434NHGRI NIH HHS U54 HG006434NIAID NIH HHS R21 AI070740NIDDK NIH HHS DK082840NIDDK NIH HHS R24 DK082840NIGMS NIH HHS R01 GM076102NIGMS NIH HHS R01GM076102NIGMS NIH HHS U54 GM103520
6 · The paper itself

Abstract

Functional protein microarrays were developed as a high-throughput tool to overcome the limitations of DNA microarrays and to provide a versatile platform for protein functional analyses. Recent years have witnessed tremendous growth in the use of protein microarrays, particularly functional protein microarrays, to address important questions in the field of clinical proteomics. In this review, we will summarize some of the most innovative and exciting recent applications of protein microarrays in clinical proteomics, including biomarker identification, pathogen-host interactions, and cancer biology.

Indexed as

AnimalsBiomarkersChemistry, ClinicalHost-Pathogen InteractionsHumansNeoplasmsProtein Array AnalysisProteomicsBiomarkers

Identifiers

PMID23027439
PMCPMC3600421

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.