Evidence map›Paper›PMID 37753060›Full record

ArticleBiophysics reports2023

A basic phosphoproteomic-DIA workflow integrating precise quantification of phosphosites in systems biology.

Yi Di, Wenxue Li, Barbora Salovska, Qian Ba, Zhenyi Hu, Shisheng Wang, Yansheng Liu

Abstract read
In one paragraph

Article in Biophysics reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Hepatocyte nuclear factor 4-Alpha: a key regulator in liver carcinogenesis.Cellular oncology (Dordrecht, Netherlands) · 2025
    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

7 authors.

Yi DiCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.
Wenxue LiCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.
Barbora SalovskaCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.
Qian BaCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.
Zhenyi HuCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.
Shisheng WangDepartment of Pulmonary and Critical Care Medicine, and Proteomics-Metabolomics Analysis Platform, West China Hospital, Sichuan University, Chengdu 610041, China.
Yansheng LiuCancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, USA.

Funding

Understanding proteome remodeling in aneuploidyR01GM137031 · NIGMS · YALE UNIVERSITY · PI LIU, YANSHENG · 2020 to 2024
$2.0M
NIGMS NIH HHS R01 GM137031
6 · The paper itself

Abstract

Phosphorylation is one of the most important post-translational modifications (PTMs) of proteins, governing critical protein functions. Most human proteins have been shown to undergo phosphorylation, and phosphoproteomic studies have been widely applied due to recent advancements in high-resolution mass spectrometry technology. Although the experimental workflow for phosphoproteomics has been well-established, it would be useful to optimize and summarize a detailed, feasible protocol that combines phosphoproteomics and data-independent acquisition (DIA), along with follow-up data analysis procedures due to the recent instrumental and bioinformatic advances in measuring and understanding tens of thousands of site-specific phosphorylation events in a single experiment. Here, we describe an optimized Phos-DIA protocol, from sample preparation to bioinformatic analysis, along with practical considerations and experimental configurations for each step. The protocol is designed to be robust and applicable for both small-scale phosphoproteomic analysis and large-scale quantification of hundreds of samples for studies in systems biology and systems medicine.

Indexed as

Bioinformatic analysisHigh-resolution mass spectrometry technologyPhosphoproteomicsSystems biologySystems medicine

Identifiers

PMID37753060
PMCPMC10518521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.