Evidence map›Paper›PMID 21136793›Full record

ArticleProteomics. Clinical applications2008

Applications of protein microarrays for biomarker discovery.

Niroshan Ramachandran, Sanjeeva Srivastava, Joshua Labaer

Abstract read
In one paragraph

Article in Proteomics. Clinical applications, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Printing High-Density Human Protein Fragments on Epoxy-Treated Slides.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Antigen Analysis of Pre-Eclamptic Plasma Antibodies UsingMolecular & cellular proteomics : MCP · 2018
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Microreactor array device.Scientific reports · 2015
    Article
  17. Article
  18. Review
  19. Quantitative selection and parallel characterization of aptamers.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

3 authors.

Niroshan RamachandranHarvard Institute of Proteomics, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Cambridge, MA, USA.
Sanjeeva Srivastava
Joshua Labaer

Funding

Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
NCI NIH HHS U01 CA117374
6 · The paper itself

Abstract

The search for new biomarkers for diagnosis, prognosis, and therapeutic monitoring of diseases continues in earnest despite dwindling success at finding novel reliable markers. Some of the current markers in clinical use do not provide optimal sensitivity and specificity, with the prostate cancer antigen (PSA) being one of many such examples. The emergence of proteomic techniques and systems approaches to study disease pathophysiology has rekindled the quest for new biomarkers. In particular the use of protein microarrays has surged as a powerful tool for large-scale testing of biological samples. Approximately half the reports on protein microarrays have been published in the last two years especially in the area of biomarker discovery. In this review, we will discuss the application of protein microarray technologies that offer unique opportunities to find novel biomarkers.

Identifiers

PMID21136793
PMCPMC3158026

What OpenQuestion holds

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Registered trials

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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.