Detecting differential protein abundance by combining peptide level P-values-Reference-Cited by-同舟云学术

Detecting differential protein abundance by combining peptide level P-values

Published:2020 Issue:6 Volume:16 Page:554-562
ISSN:2515-4184
Container-title:Molecular Omics
language:en
Short-container-title:Mol. Omics

Author:

Killinger Bryan J.¹²³⁴⁵^ORCID,Petyuk Vladislav A.¹²³⁴,Wright Aaron T.¹²³⁴⁵^ORCID

Affiliation:

1. Biological Sciences Division

2. Pacific Northwest National Laboratory

3. Richland

4. USA

5. The Gene and Linda Voiland School of Chemical Engineering and Bioengineering

Abstract

Application of empirical Brown's method to peptide intensities from comparative LC-MS proteomics experiments accurately detects differentially abundant proteins.

Funder

National Institute of Environmental Health Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/MO/D0MO00045K

Reference23 articles.

1. Protein Analysis by Shotgun/Bottom-up Proteomics

2. Thousand and one ways to quantify and compare protein abundances in label-free bottom-up proteomics

3. DAnTE: a statistical tool for quantitative analysis of -omics data

4. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

5. Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Challenges and Opportunities for Single-cell Computational Proteomics;Molecular & Cellular Proteomics;2023-04

2. Urinary Proteomic Profile of Arterial Stiffness Is Associated With Mortality and Cardiovascular Outcomes;Journal of the American Heart Association;2022-04-19

3. Benchmarking differential expression, imputation and quantification methods for proteomics data;Briefings in Bioinformatics;2022-04-10