Label-Free Quantitative Proteomics in Plant

Ruonan Wang; Peijun Zhou; Yilin Pan; Lu Zheng; Xiaoying Dong; Renfang Shen; Ping Lan

doi:10.1007/978-1-0716-3183-6_7

Label-Free Quantitative Proteomics in Plant

Methods Mol Biol. 2023:2665:75-83. doi: 10.1007/978-1-0716-3183-6_7.

Authors

Ruonan Wang^{1

2}, Peijun Zhou^{1

2}, Yilin Pan^{1

2}, Lu Zheng¹, Xiaoying Dong¹, Renfang Shen¹, Ping Lan^{3

4}

Affiliations

¹ State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
² University of Chinese Academy of Sciences, Beijing, China.
³ State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China. plan@issas.ac.cn.
⁴ University of Chinese Academy of Sciences, Beijing, China. plan@issas.ac.cn.

PMID: 37166594
DOI: 10.1007/978-1-0716-3183-6_7

Abstract

Label-free quantitation (LFQ) proteomics, mainly based on the extraction of the peptide (precursor) intensity at the MS¹ (mass spectrum 1) level, enables to quantify the relative amount of the proteins among samples. In an LFQ proteomics study, all samples are scanned individually on an advanced mass spectrometer and the chromatographic features of each run are extracted to generate consensus patterns among various runs in the experiment. Here, we describe the LFQ proteomics experimental protocol adapted for plant research, such as plant iron homeostasis.

Keywords: Label-free quantitation; Mass spectra; Plant; Proteomics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Chromatography, Liquid / methods
Mass Spectrometry / methods
Peptides / chemistry
Proteins* / analysis
Proteome / analysis
Proteomics* / methods

Substances

Proteins
Peptides
Proteome