Evidence map›Paper›PMID 42292812›Full record

ReviewFrontiers in pharmacology2026

Recent advances in phosphoproteomics based on mass spectrometry and its clinical application prospects.

Jiuyu Gao, Ling Wang, Shengwei Shi, Zhihan Gu, Bofu Liu, Yu Cao

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jiuyu GaoDepartment of Emergency Medicine, Institute of Disaster Medicine and Institute of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Ling WangDepartment of Emergency Medicine, Institute of Disaster Medicine and Institute of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Shengwei ShiWest China School of Medicine, Sichuan University, Chengdu, China.
Zhihan GuDepartment of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Bofu LiuDepartment of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yu CaoDepartment of Emergency Medicine, Institute of Disaster Medicine and Institute of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation, a key post-translational modification, plays a crucial role in regulating cellular activities in eukaryotes. Dysregulation of phosphorylation is closely linked to the pathogenesis of various diseases Recent advancements in phosphoproteomics have driven substantial improvements in mass spectrometry technologies, enrichment strategies, and data analysis methodologies, thereby offering a powerful and precise tool for elucidating the spatiotemporal dynamics of phosphorylation events. Nevertheless, several challenges remain, such as the limited sensitivity for detecting low-abundance signals, throughput constraints of single-cell technologies, and the absence of standardized workflows, all of which impede clinical translation. Moving forward, AI-driven experimental design, spatial omics coupling, and interdisciplinary technological integration will drive the transition of phosphoproteomics from basic research to precision medicine, providing novel insights for disease diagnosis and treatment. This review aims to comprehensively summarize recent technological developments and future trends in phosphoproteomics, focusing on its clinical translation potential and associated challenges.

Indexed as

mass spectrometrymulti-omics integrationphosphoproteomicsprecision medicinesingle-cell analysis

Identifiers

PMID42292812
PMCPMC13260007

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.