Data-Driven Optimization of DIA Mass Spectrometry by DO-MS-Reference-Cited by-同舟云学术

Data-Driven Optimization of DIA Mass Spectrometry by DO-MS

Published:2023-09-11 Issue:10 Volume:22 Page:3149-3158
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Wallmann Georg¹,Leduc Andrew¹^ORCID,Slavov Nikolai¹²^ORCID

Affiliation:

1. Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States

2. Parallel Squared Technology Institute, Watertown, Massachusetts 02472, United States

Funder

National Cancer Institute

Paul G. Allen Frontiers Group

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00177

Reference55 articles.

1. Sampling the proteome by emerging single-molecule and mass spectrometry methods

2. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

3. Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics

4. Extending the sensitivity, consistency and depth of single-cell proteomics

5. Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra

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