Evidence map›Paper›PMID 37380610›Full record

ArticleAngewandte Chemie (International ed. in English)2023

Data-Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label-Free Single-Cell Proteomics.

Thy Truong, Kei G I Webber, S Madisyn Johnston, Hannah Boekweg, Caleb M Lindgren, Yiran Liang, Alissia Nydegger, Xiaofeng Xie, Tsz-Ming Tsang, D A Dasun N Jayatunge and 3 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  20. Mapping Nanoscale-To-Single-Cell Phosphoproteomic Landscape by Chip-DIA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

13 authors.

Thy TruongDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Kei G I WebberDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
S Madisyn JohnstonDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Hannah BoekwegDepartment of Biology, Brigham Young University, Provo, UT, 84602, USA.
Caleb M LindgrenDepartment of Biology, Brigham Young University, Provo, UT, 84602, USA.ORCID 0000-0001-6484-9757
Yiran LiangDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Alissia NydeggerDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Xiaofeng XieDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Tsz-Ming TsangDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
D A Dasun N JayatungeDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.
Joshua L AndersenDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.ORCID 0000-0003-2071-744X
Samuel H PayneDepartment of Biology, Brigham Young University, Provo, UT, 84602, USA.ORCID 0000-0002-8351-1994
Ryan T KellyDepartment of Chemistry and Biochemistry, Brigham Young University, Provo, UT, 84602, USA.ORCID 0000-0002-3339-4443

Funding

Enhanced Sensitivity and Quantitative Precision for Single Cell ProteomicsR01GM147653 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI PAYNE, SAMUEL H, SHORTREED, MICHAEL R · 2022 to 2025
$1.6M
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomicsR01GM138931 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2020 to 2023
$1.6M
The Regulation and Function of the Ubiquitin-Sensing Kinase TNK1R01GM147310 · NIGMS · UNIVERSITY OF UTAH · PI ANDERSEN, JOSHUA LYON · 2022 to 2024
$957k
In-depth and label-free proteome profiling of hundreds of single cells per dayR21CA272326 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2022 to 2024
$529k
NCI NIH HHS R21 CA272326NCI NIH HHS R21CA272326NIGMS NIH HHS R01 GM138931NIGMS NIH HHS R01GM138931NIGMS NIH HHS R01 GM147310NIGMS NIH HHS R01GM147310NIGMS NIH HHS R01 GM147653
6 · The paper itself

Abstract

We combined efficient sample preparation and ultra-low-flow liquid chromatography with a newly developed data acquisition and analysis scheme termed wide window acquisition (WWA) to quantify >3,000 proteins from single cells in rapid label-free analyses. WWA employs large isolation windows to intentionally co-isolate and co-fragment adjacent precursors along with the selected precursor. Optimized WWA increased the number of MS2-identified proteins by ≈40 % relative to standard data-dependent acquisition. For a 40-min LC gradient operated at ≈15 nL/min, we identified an average of 3,524 proteins per single-cell-sized aliquot of protein digest. Reducing the active gradient to 20 min resulted in a modest 10 % decrease in proteome coverage. Using this platform, we compared protein expression between single HeLa cells having an essential autophagy gene, atg9a, knocked out, with their isogenic WT parental line. Similar proteome coverage was observed, and 268 proteins were significantly up- or downregulated. Protein upregulation primarily related to innate immunity, vesicle trafficking and protein degradation.

Indexed as

ProteomeProteomicsChromatography, LiquidHeLa CellsHumansProteomeautophagyLFQnanoLCnanoPOTSsingle-cell proteomics

Identifiers

PMID37380610
PMCPMC10529037

What OpenQuestion holds

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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.