Evidence map›Paper›PMID 33953186›Full record

ArticleNature communications2021

A data-independent acquisition-based global phosphoproteomics system enables deep profiling.

Reta Birhanu Kitata, Wai-Kok Choong, Chia-Feng Tsai, Pei-Yi Lin, Bo-Shiun Chen, Yun-Chien Chang, Alexey I Nesvizhskii, Ting-Yi Sung, Yu-Ju Chen

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  13. The SIK3-N783Y mutation is associated with the human natural short sleep trait.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
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  18. Mapping Nanoscale-To-Single-Cell Phosphoproteomic Landscape by Chip-DIA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  19. Article
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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

9 authors.

Reta Birhanu KitataInstitute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.ORCID 0000-0002-8973-7679
Wai-Kok ChoongInstitute of Information Science, Academia Sinica, Taipei, 11529, Taiwan.ORCID 0000-0001-6883-6865
Chia-Feng TsaiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, 99354, USA.
Pei-Yi LinInstitute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.
Bo-Shiun ChenInstitute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.
Yun-Chien ChangInstitute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.
Alexey I NesvizhskiiDepartment of Computational Medicine and Bioinformatics, and Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.ORCID 0000-0002-2806-7819
Ting-Yi SungInstitute of Information Science, Academia Sinica, Taipei, 11529, Taiwan.
Yu-Ju ChenInstitute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan. yujuchen@gate.sinica.edu.tw.ORCID 0000-0002-3178-6697

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
NCI NIH HHS U24 CA210967NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

Phosphoproteomics can provide insights into cellular signaling dynamics. To achieve deep and robust quantitative phosphoproteomics profiling for minute amounts of sample, we here develop a global phosphoproteomics strategy based on data-independent acquisition (DIA) mass spectrometry and hybrid spectral libraries derived from data-dependent acquisition (DDA) and DIA data. Benchmarking the method using 166 synthetic phosphopeptides shows high sensitivity (<0.1 ng), accurate site localization and reproducible quantification (~5% median coefficient of variation). As a proof-of-concept, we use lung cancer cell lines and patient-derived tissue to construct a hybrid phosphoproteome spectral library covering 159,524 phosphopeptides (88,107 phosphosites). Based on this library, our single-shot streamlined DIA workflow quantifies 36,350 phosphosites (19,755 class 1) in cell line samples within two hours. Application to drug-resistant cells and patient-derived lung cancer tissues delineates site-specific phosphorylation events associated with resistance and tumor progression, showing that our workflow enables the characterization of phosphorylation signaling with deep coverage, high sensitivity and low between-run missing values.

Indexed as

ProteomicsCell Line, TumorHumansLung NeoplasmsPhosphopeptidesPhosphorylationProteinsProteomeTandem Mass SpectrometryWorkflowPhosphopeptidesProteinsProteome

Identifiers

PMID33953186
PMCPMC8099862

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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.