Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides-Reference-Cited by-同舟云学术

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Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides

Published:2023-03-15 Issue:5 Volume:22 Page:1510-1519
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Phetsanthad Ashley¹^ORCID,Carr Austin V.¹^ORCID,Fields Lauren¹^ORCID,Li Lingjun¹²³^ORCID

Affiliation:

1. Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

2. School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States

3. Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States

Funder

Division of Chemistry

National Center for Research Resources

Wisconsin Alumni Research Foundation

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute on Aging

National Institute of General Medical Sciences

University of Wisconsin-Madison

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00088

Reference46 articles.

1. Hu, A.; Noble, W. S.; Wolf-Yadlin, A. Technical advances in proteomics: new developments in data-independent acquisition. F1000Res. 2016, 5.

2. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

3. Neuropeptidomics: Comparison of parallel reaction monitoring and data‐independent acquisition for the analysis of neuropeptides using high‐resolution mass spectrometry

4. DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics

5. Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results

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3. Assessing fecal metaproteomics workflow and small protein recovery using DDA and DIA PASEF mass spectrometry;2024-03-14

4. EndoGenius: Optimized Neuropeptide Identification from Mass Spectrometry Datasets;Journal of Proteome Research;2024-03-01

5. Origins, Technological Advancement, and Applications of Peptidomics;Methods in Molecular Biology;2024

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