Spectronaut and DIA-NN: A Comparison of their Performance in the Analysis of Lung Adenocarcinoma Biopsies

Direct data-independent acquisition (DIA) in liquid chromatography-tandem mass spectrometry (LC-MS/MS) has developed into a powerful methodology for proteomics. Herein, we directly compare the performance of two widely used DIA computational platformsSpectronaut and DIA-NNusing paired tumor and peritumor tissue biopsies from human lung carcinoma (LUAD) patients, samples that one would encounter in a clinical research lab in a hospital setting. The evaluations include the following: (1) protein identification depth, (2) quantitative consistency, and (3) differential expression on the same set of LC-MS/MS runs, using nominally identical computational parameters and settings. Both Spectronaut and DIA-NN identified ∼>7600 proteins in the LUAD samples, with 7180 proteins common to both platforms. Spectronaut reported 1250 upregulated proteins and 266 downregulated proteins (tumor versus peritumor), while DIA-NN reported 1819 and 174 proteins, respectively. A total of 1130 differentially expressed proteins (DEPs) were common to both platforms. Of the top 50 DEPs, 34 were shared between Spectronaut and DIA-NN. Two of these DEPsHSPA5 and CAV1were also among the top 50 proteins showing the highest degrees of protein-protein interaction. The DEPs enabled classification of the LUAD patients into three subtypes; the clinical validity of the current subtypes will need to be substantiated in the future with additional LUAD samples and experimentation.

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Publication Details

Journal
ACS Omega
Published
2026-01-26
DOI
https://doi.org/10.1021/acsomega.5c10421
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Spectronaut and DIA-NN: A Comparison of their Performance in the Analysis of Lung Adenocarcinoma Biopsies

Ivan K. Chu, Yunzeng Zhang, Zhaoyan Yu, An Du et al.
ACS Omega
Advanced Proteomics Techniques and Applications
article

Spectronaut and DIA-NN: A Comparison of their Performance in the Analysis of Lung Adenocarcinoma Biopsies

Ivan K. Chu, Yunzeng Zhang, Zhaoyan Yu, An Du, Wenyang Zhang, K. W. Michael Siu, Xiaoxue Ma, Xiaona Xu, Yinan Li
article en

Abstract

Direct data-independent acquisition (DIA) in liquid chromatography-tandem mass spectrometry (LC-MS/MS) has developed into a powerful methodology for proteomics. Herein, we directly compare the performance of two widely used DIA computational platformsSpectronaut and DIA-NNusing paired tumor and peritumor tissue biopsies from human lung carcinoma (LUAD) patients, samples that one would encounter in a clinical research lab in a hospital setting. The evaluations include the following: (1) protein identification depth, (2) quantitative consistency, and (3) differential expression on the same set of LC-MS/MS runs, using nominally identical computational parameters and settings. Both Spectronaut and DIA-NN identified ∼>7600 proteins in the LUAD samples, with 7180 proteins common to both platforms. Spectronaut reported 1250 upregulated proteins and 266 downregulated proteins (tumor versus peritumor), while DIA-NN reported 1819 and 174 proteins, respectively. A total of 1130 differentially expressed proteins (DEPs) were common to both platforms. Of the top 50 DEPs, 34 were shared between Spectronaut and DIA-NN. Two of these DEPsHSPA5 and CAV1were also among the top 50 proteins showing the highest degrees of protein-protein interaction. The DEPs enabled classification of the LUAD patients into three subtypes; the clinical validity of the current subtypes will need to be substantiated in the future with additional LUAD samples and experimentation.

ACS OmegaVol. 11(5)
Shandong University (CN), Fudan University (CN), Guangdong Academy of Agricultural Sciences (CN), Huashan Hospital (CN), University of Windsor (CA), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 78%
Advanced Proteomics Techniques and Applications
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