Front Cover: Data‐Independent Acquisition‐Based Quantitative Proteomics Analysis Reveals Dynamic Network Profiles during the Macrophage Inflammatory Response | Zendy

Li Lei | Zendy; Chen Li | Zendy; Lu Xinya | Zendy; Huang Chenyang | Zendy; Luo Haihua | Zendy; Jin Jingmiao | Zendy; Mei Zhuzhong | Zendy; Liu Jinghua | Zendy; Liu Cuiting | Zendy; Shi Junmin | Zendy; Chen Peng | Zendy; Jiang Yong | Zendy

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Front Cover: Data‐Independent Acquisition‐Based Quantitative Proteomics Analysis Reveals Dynamic Network Profiles during the Macrophage Inflammatory Response

Author(s) -

Li Lei,

Chen Li,

Lu Xinya,

Huang Chenyang,

Luo Haihua,

Jin Jingmiao,

Mei Zhuzhong,

Liu Jinghua,

Liu Cuiting,

Shi Junmin,

Chen Peng,

Jiang Yong

Publication year - 2020

Publication title -

proteomics

Language(s) - English

Resource type - Reports

SCImago Journal Rank - 1.26

H-Index - 167

eISSN - 1615-9861

pISSN - 1615-9853

DOI - 10.1002/pmic.202070011

Subject(s) - proteomics , quantitative proteomics , front cover , kegg , computational biology , workflow , biology , transcriptome , cover (algebra) , bioinformatics , computer science , gene expression , biochemistry , gene , engineering , database , mechanical engineering

DOI: 10.1002/pmic.201900203 In article number 1900203, Lei Li et al. reveal discrete modules and the signaling network that modulates the development of inflammation. The cover depicts the workflow for DIA‐based quantitative proteomics analysis on the inflammatory response of macrophages challenged with LPS. a) Quality analysis of raw data for quantitative proteomics; b) Analysis on protein expression patterns; c) Sequential analysis of differential expression proteins; d) KEGG pathway analysis with ClueGO of the Cytoscape software; e) Integrated analysis of transcriptomics and proteomics.

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