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Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software
[Image: see text] Large-scale proteome analysis requires rapid and high-throughput analytical methods. We recently reported a new paradigm in proteome analysis where direct infusion and ion mobility are used instead of liquid chromatography (LC) to achieve rapid and high-throughput proteome analysis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850400/ https://www.ncbi.nlm.nih.gov/pubmed/36527718 http://dx.doi.org/10.1021/acs.analchem.2c02249 |
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author | Jiang, Yuming Hutton, Alexandre Cranney, Caleb W. Meyer, Jesse G. |
author_facet | Jiang, Yuming Hutton, Alexandre Cranney, Caleb W. Meyer, Jesse G. |
author_sort | Jiang, Yuming |
collection | PubMed |
description | [Image: see text] Large-scale proteome analysis requires rapid and high-throughput analytical methods. We recently reported a new paradigm in proteome analysis where direct infusion and ion mobility are used instead of liquid chromatography (LC) to achieve rapid and high-throughput proteome analysis. Here, we introduce an improved direct infusion shotgun proteome analysis protocol including label-free quantification (DISPA-LFQ) using CsoDIAq software. With CsoDIAq analysis of DISPA data, we can now identify up to ∼2000 proteins from the HeLa and 293T proteomes, and with DISPA-LFQ, we can quantify ∼1000 proteins from no more than 1 μg of sample within minutes. The identified proteins are involved in numerous valuable pathways including central carbon metabolism, nucleic acid replication and transport, protein synthesis, and endocytosis. Together with a high-throughput sample preparation method in a 96-well plate, we further demonstrate the utility of this technology for performing high-throughput drug analysis in human 293T cells. The total time for data collection from a whole 96-well plate is approximately 8 h. We conclude that the DISPA-LFQ strategy presents a valuable tool for fast identification and quantification of proteins in complex mixtures, which will power a high-throughput proteomic era of drug screening, biomarker discovery, and clinical analysis. |
format | Online Article Text |
id | pubmed-9850400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98504002023-01-20 Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software Jiang, Yuming Hutton, Alexandre Cranney, Caleb W. Meyer, Jesse G. Anal Chem [Image: see text] Large-scale proteome analysis requires rapid and high-throughput analytical methods. We recently reported a new paradigm in proteome analysis where direct infusion and ion mobility are used instead of liquid chromatography (LC) to achieve rapid and high-throughput proteome analysis. Here, we introduce an improved direct infusion shotgun proteome analysis protocol including label-free quantification (DISPA-LFQ) using CsoDIAq software. With CsoDIAq analysis of DISPA data, we can now identify up to ∼2000 proteins from the HeLa and 293T proteomes, and with DISPA-LFQ, we can quantify ∼1000 proteins from no more than 1 μg of sample within minutes. The identified proteins are involved in numerous valuable pathways including central carbon metabolism, nucleic acid replication and transport, protein synthesis, and endocytosis. Together with a high-throughput sample preparation method in a 96-well plate, we further demonstrate the utility of this technology for performing high-throughput drug analysis in human 293T cells. The total time for data collection from a whole 96-well plate is approximately 8 h. We conclude that the DISPA-LFQ strategy presents a valuable tool for fast identification and quantification of proteins in complex mixtures, which will power a high-throughput proteomic era of drug screening, biomarker discovery, and clinical analysis. American Chemical Society 2022-12-17 /pmc/articles/PMC9850400/ /pubmed/36527718 http://dx.doi.org/10.1021/acs.analchem.2c02249 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Jiang, Yuming Hutton, Alexandre Cranney, Caleb W. Meyer, Jesse G. Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title | Label-Free
Quantification from Direct Infusion Shotgun
Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title_full | Label-Free
Quantification from Direct Infusion Shotgun
Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title_fullStr | Label-Free
Quantification from Direct Infusion Shotgun
Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title_full_unstemmed | Label-Free
Quantification from Direct Infusion Shotgun
Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title_short | Label-Free
Quantification from Direct Infusion Shotgun
Proteome Analysis (DISPA-LFQ) with CsoDIAq Software |
title_sort | label-free
quantification from direct infusion shotgun
proteome analysis (dispa-lfq) with csodiaq software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850400/ https://www.ncbi.nlm.nih.gov/pubmed/36527718 http://dx.doi.org/10.1021/acs.analchem.2c02249 |
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