Evidence map›Paper›PMID 41676023›Full record

ReviewQuantitative biology (Beijing, China)2024

Proteomics techniques in protein biomarker discovery.

Mahsa Babaei, Soheila Kashanian, Huang-Teck Lee, Frances Harding

Abstract readReview
In one paragraph

Review in Quantitative biology (Beijing, China), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Contemporary Perspectives on Chronic Renal Disorders.Chronic diseases and translational medicine · 2025
    Review
  11. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
    Review
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

4 authors.

Mahsa BabaeiDepartment of Biology Faculty of Science Razi University Kermanshah Iran.
Soheila KashanianFaculty of Chemistry Sensor and Biosensor Research Center (SBRC) Razi University Kermanshah Iran.
Huang-Teck LeeCentre for Marine Bioproducts Development Flinders University Adelaide South Australia Australia.
Frances HardingMonash Institute of Pharmaceutical Sciences Monash University Melbourne New South Wales Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein biomarkers represent specific biological activities and processes, so they have had a critical role in cancer diagnosis and medical care for more than 50 years. With the recent improvement in proteomics technologies, thousands of protein biomarker candidates have been developed for diverse disease states. Studies have used different types of samples for proteomics diagnosis. Samples were pretreated with appropriate techniques to increase the selectivity and sensitivity of the downstream analysis and purified to remove the contaminants. The purified samples were analyzed by several principal proteomics techniques to identify the specific protein. In this study, recent improvements in protein biomarker discovery, verification, and validation are investigated. Furthermore, the advantages, and disadvantages of conventional techniques, are discussed. Studies have used mass spectroscopy (MS) as a critical technique in the identification and quantification of candidate biomarkers. Nevertheless, after protein biomarker discovery, verification and validation have been required to reduce the false-positive rate where there have been higher number of samples. Multiple reaction monitoring (MRM), parallel reaction monitoring (PRM), and selected reaction monitoring (SRM), in combination with stable isotope-labeled internal standards, have been examined as options for biomarker verification, and enzyme-linked immunosorbent assay (ELISA) for validation.

Indexed as

biomarker discoverycancer biomarkergel‐based methodsgel‐free methodsmass spectroscopyproteomics

Identifiers

PMID41676023
PMCPMC12806446

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.