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Informed-Proteomics: open-source software package for top-down proteomics

delete2017-08-07
delete135
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OA
AI
J
Jungkap Park
P
Paul Piehowski
C
Christopher Wilkins
周默为 (Mowei Zhou)
J
Joshua Mendoza
G
Grant M. Fujimoto
B
Bryson Gibbons
J
Jared Shaw
Y
Yufeng Shen
A
Anil Shukla
R
Ronald Moore
刘涛 cover
刘涛 (Tao Liu)
V
Vladislav Petyuk
N
Nikola Tolić
L
Ljiljana Paša‐Tolić
R
Richard Smith
S
Samuel Payne
S
Sangtae Kim *
DOI:10.1038/NMETH.4388delete
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Abstract

Abstract

En 中文
Top-down proteomics, the analysis of intact proteins in their endogenous form, preserves valuable information about post-translation modifications, isoforms and proteolytic processing. The quality of top-down liquid chromatography-tandem MS (LC-MS/MS) data sets is rapidly increasing on account of advances in instrumentation and sample-processing protocols. However, top-down mass spectra are substantially more complex than conventional bottom-up data. New algorithms and software tools for confident proteoform identification and quantification are needed. Here we present Informed-Proteomics, an open-source software suite for top-down proteomics analysis that consists of an LC-MS feature-finding algorithm, a database search algorithm, and an interactive results viewer. We compare our tool with several other popular tools using human-in-mouse xenograft luminal and basal breast tumor samples that are known to have significant differences in protein abundance based on bottom-up analysis.
Keywords:
DATABASE SEARCH TOOL
TANDEM MASS-SPECTRA
PROTEIN IDENTIFICATION
BOTTOM-UP
SPECTROMETRY
PROTEOFORM
SUITE
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Journal

Nature Methods cover
Nature Methods
IF:
32.1
Papers:
7.2K
Citations:
12.7W

Organization

P
Pacific Northwest National Laboratory
Scholars:
9.0K
Papers: 6.3K
Citations: 14
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246