Features of Peptide Fragmentation Spectra in Single-Cell Proteomics-Reference-Cited by-同舟云学术

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Features of Peptide Fragmentation Spectra in Single-Cell Proteomics

Published:2021-12-17 Issue:1 Volume:21 Page:182-188
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Boekweg Hannah¹,Van Der Watt Daisha¹,Truong Thy²,Johnston S. Madisyn²,Guise Amanda J.³,Plowey Edward D.³,Kelly Ryan T.²,Payne Samuel H.¹^ORCID

Affiliation:

1. Department of Biology, Brigham Young University, Provo Utah 84602, United States

2. Department of Chemistry and Biochemistry, Brigham Young University, Provo Utah 84602, United States

3. Translational Neuropathology, Biomarkers, Research and Development, Biogen Inc, Cambridge, Massachusetts 02142, United States

Funder

Biogen

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.1c00670

Reference25 articles.

1. Single-cell Proteomics: Progress and Prospects

2. The rise of single‐cell proteomics

3. Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

4. Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell

5. High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform

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1. Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification;Molecular & Cellular Proteomics;2024-07

2. Instrumentation at the Leading Edge of Proteomics;Analytical Chemistry;2024-05-13

3. Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis Workflows;Journal of Proteome Research;2024-04-26

4. What’s new in single-cell proteomics;Current Opinion in Biotechnology;2024-04

5. scPROTEIN: a versatile deep graph contrastive learning framework for single-cell proteomics embedding;Nature Methods;2024-03-19

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