Evidence map›Paper›PMID 39641251›Full record

ArticleJournal of proteome research2025

TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics.

Abdul Rehman Basharat, Xingzhao Xiong, Tian Xu, Yong Zang, Liangliang Sun, Xiaowen Liu

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Abdul Rehman BasharatDepartment of BioHealth Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana 46202, United States.ORCID 0000-0002-4675-5375
Xingzhao XiongDeming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0002-9384-4573
Tian XuDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.
Yong ZangDepartment of Biostatistics and Health Data Sciences, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
Liangliang SunDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0001-8939-5042
Xiaowen LiuDeming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0003-4139-1127

Funding

Computational tools for top down mass spectrometry based proteoform identification and proteogenomicsR01GM118470 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Xiaowen Liu · 2016 to 2026
$2.7M
Quantitative top-down proteomics of human colorectal cancer cells and tumorsR01CA247863 · NCI · MICHIGAN STATE UNIVERSITY · PI HUMMON, AMANDA B., LIU, XIAOWEN · 2021 to 2025
$1.9M
NCI NIH HHS R01 CA247863NIGMS NIH HHS R01 GM118470
6 · The paper itself

Abstract

Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the past decade, top-down proteomics has been dominated by top-down data-dependent acquisition mass spectrometry (TD-DDA-MS), and top-down data-independent acquisition mass spectrometry (TD-DIA-MS) has not been well studied. While TD-DIA-MS produces complex multiplexed tandem mass spectrometry (MS/MS) spectra, which are challenging to confidently identify, it selects more precursor ions for MS/MS analysis and has the potential to increase proteoform identifications compared with TD-DDA-MS. Here we present TopDIA, the first software tool for proteoform identification by TD-DIA-MS. It generates demultiplexed pseudo MS/MS spectra from TD-DIA-MS data and then searches the pseudo MS/MS spectra against a protein sequence database for proteoform identification. We compared the performance of TD-DDA-MS and TD-DIA-MS using

Indexed as

ProteomicsSoftwareTandem Mass SpectrometryDatabases, ProteinEscherichia coliEscherichia coli K12Escherichia coli ProteinsEscherichia coli Proteinsdata independent acquisitionmass spectrometryproteoform identificationtop-down proteomics

Identifiers

PMID39641251
PMCPMC11705214

What OpenQuestion holds

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LicenceCC BY
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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.