Evidence map›Paper›PMID 35922478›Full record

ReviewLaboratory investigation; a journal of technical methods and pathology2022

High-throughput proteomics: a methodological mini-review.

Miao Cui, Chao Cheng, Lanjing Zhang

Abstract readReview
In one paragraph

Review in Laboratory investigation; a journal of technical methods and pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 3 pooled it
–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

196 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  7. Review
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  12. Article
  13. Biochemistry and biophysics reports · 2026
    Article
  14. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
    Review
  15. Review
  16. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
    Review
  17. Review
  18. Plasma proteomics ofmedRxiv : the preprint server for health sciences · 2026
    Article
  19. Review
  20. Article

136 more citing papers are in PubMed but not listed here.

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.

Miao CuiDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-3402-8664
Chao ChengDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA. chao.cheng@bcm.edu.ORCID 0000-0002-5002-3417
Lanjing ZhangDepartment of Biological Sciences, Rutgers University, Newark, NJ, USA. lanjing.zhang@rutgers.edu.ORCID 0000-0001-5436-887X

Funding

(PQD4) SIGNS OF INFLAMMATORY BREAST CANCER ARE CAUSED BY STROMAL FIELD EFFECTSR01CA180061 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WOODWARD, WENDY A · 2013 to 2016
$1.9M
6 · The paper itself

Abstract

Proteomics plays a vital role in biomedical research in the post-genomic era. With the technological revolution and emerging computational and statistic models, proteomic methodology has evolved rapidly in the past decade and shed light on solving complicated biomedical problems. Here, we summarize scientific research and clinical practice of existing and emerging high-throughput proteomics approaches, including mass spectrometry, protein pathway array, next-generation tissue microarrays, single-cell proteomics, single-molecule proteomics, Luminex, Simoa and Olink Proteomics. We also discuss important computational methods and statistical algorithms that can maximize the mining of proteomic data with clinical and/or other 'omics data. Various principles and precautions are provided for better utilization of these tools. In summary, the advances in high-throughput proteomics will not only help better understand the molecular mechanisms of pathogenesis, but also to identify the signature signaling networks of specific diseases. Thus, modern proteomics have a range of potential applications in basic research, prognostic oncology, precision medicine, and drug discovery.

Indexed as

GenomicsProteomicsMass SpectrometryPrecision MedicineProtein Array Analysis

Identifiers

PMID35922478
PMCPMC9362039

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.