Evidence map›Paper›PMID 32303587›Full record

ReviewMolecular & cellular proteomics : MCP2020

Developments and Applications of Functional Protein Microarrays.

Guan-Da Syu, Jessica Dunn, Heng Zhu

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Construction of αJournal of separation science · 2026
    Article
  3. Review
  4. Review
  5. A proteome-wide atlas of humoral immunity toFrontiers in immunology · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Printing High-Density Human Protein Fragments on Epoxy-Treated Slides.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Investigating Protein-Protein Interactions of Autophagy-Involved TNIP1.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  14. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
  15. Exploring lipid-protein interactions in plant membranes.Journal of experimental botany · 2024
    Review
  16. Review
  17. Review
  18. Review
  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

3 authors.

Guan-Da SyuDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan 701, Taiwan R.O.C.. Electronic address: guanda@gs.ncku.edu.tw.
Jessica DunnDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205.
Heng ZhuDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205; Center for High-Throughput Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205; Viral Oncology Program, Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231. Electronic address: hzhu4@jhmi.edu.

Funding

The Chemistry-Biology Interface Program at Johns Hopkins UniversityT32GM080189 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ROKITA, STEVEN E · 2008 to 2022
$3.5M
Development of a virion display (VirD) array to profile human GPCR interactionsR33CA186790 · NCI · JOHNS HOPKINS UNIVERSITY · PI DESAI, PRASHANT J, ZHU, HENG · 2015 to 2017
$1.2M
NCI NIH HHS R33 CA186790NCI NIH HHS R33-CA186790-01A1NIGMS NIH HHS 2T32GM080189-11NIGMS NIH HHS T32 GM080189
6 · The paper itself

Abstract

Protein microarrays are crucial tools in the study of proteins in an unbiased, high-throughput manner, as they allow for characterization of up to thousands of individually purified proteins in parallel. The adaptability of this technology has enabled its use in a wide variety of applications, including the study of proteome-wide molecular interactions, analysis of post-translational modifications, identification of novel drug targets, and examination of pathogen-host interactions. In addition, the technology has also been shown to be useful in profiling antibody specificity, as well as in the discovery of novel biomarkers, especially for autoimmune diseases and cancers. In this review, we will summarize the developments that have been made in protein microarray technology in both in basic and translational research over the past decade. We will also introduce a novel membrane protein array, the GPCR-VirD array, and discuss the future directions of functional protein microarrays.

Indexed as

Autoimmune DiseasesBiomarkersHost-Pathogen InteractionsHumansMembrane ProteinsNeoplasmsNeurodegenerative DiseasesProtein Array AnalysisProtein Processing, Post-TranslationalProteomeProteomicsReceptors, G-Protein-CoupledTranslational Research, BiomedicalVirionBiomarkersMembrane ProteinsProteomeReceptors, G-Protein-CoupledbiofluidsdiagnosticpathogensProtein arrayprotein-protein interactions

Identifiers

PMID32303587
PMCPMC7261817

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.