Evidence map›Paper›PMID 23027520›Full record

ArticleProteomics. Clinical applications2013

A versatile protein microarray platform enabling antibody profiling against denatured proteins.

Jie Wang, Kristi Barker, Jason Steel, Jin Park, Justin Saul, Fernanda Festa, Garrick Wallstrom, Xiaobo Yu, Xiaofang Bian, Karen S Anderson and 3 more

Abstract read
In one paragraph

Article in Proteomics. Clinical applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mapping transcription factor interactome networks using HaloTag protein arrays.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Review
  14. Article
  15. Proteomic Monitoring of B Cell Immunity.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  16. Plasma Autoantibodies Associated with Basal-like Breast Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Article
  17. Review
  18. Article
  19. Review
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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

13 authors at 2 institutions in 1 country.

Jie WangVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287-6401, USA.
Kristi Barker
Jason Steel
Jin Park
Justin Saul
Fernanda Festa
Garrick Wallstrom
Xiaobo Yu
Xiaofang Bian
Karen S Anderson
Jonine D Figueroa
Joshua LaBaer
Ji Qiu
Arizona State University · USNational Cancer Institute · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
Intramural NIH HHS ZIA CP010126NCI NIH HHS U01 CA117374
6 · The paper itself

Abstract

purposeWe aim to develop a protein microarray platform capable of presenting both natural and denatured forms of proteins for antibody biomarker discovery. We will further optimize plasma screening protocols to improve detection. EXPERIMENTAL

designWe developed a new covalent capture protein microarray chemistry using HaloTag fusion proteins and ligand. To enhance protein yield, we used HeLa cell lysate as an in vitro transcription translation (IVTT) system. Escherichia coli lysates were added to the plasma blocking buffer to reduce nonspecific background. These protein microarrays were probed with plasma samples and autoantibody responses were quantified and compared with or without denaturing buffer treatment.

resultsWe demonstrated that protein microarrays using the covalent attachment chemistry endured denaturing conditions. Blocking with E. coli lysates greatly reduced the background signals and expression with IVTT based on HeLa cell lysates significantly improved the antibody signals on protein microarrays probed with plasma samples. Plasma samples probed on denatured protein arrays produced autoantibody profiles distinct from those probed on natively displayed proteins. CONCLUSIONS AND CLINICAL RELEVANCE: This versatile protein microarray platform allows the display of both natural and denatured proteins, offers a new dimension to search for disease-specific antibodies, broadens the repertoire of potential biomarkers, and will potentially yield clinical diagnostics with greater performance.

Indexed as

Protein Array AnalysisAntibodiesAutoantibodiesHeLa CellsHumansProtein BiosynthesisProtein DenaturationProteinsAntibodiesAutoantibodiesProteins

Identifiers

PMID23027520
PMCPMC4127978
OpenAlexW2072646025

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.