Dataset for proteogenomic signature analysis of differentiation of CD4+ T cell subsets.

Ryo Konno; Toshio Kanno; Osamu Ohara; Yusuke Endo; Yusuke Kawashima

doi:10.14889/jpdm.2023.0010

Ryo Konno, Toshio Kanno, Osamu Ohara, Yusuke Endo, Yusuke Kawashima

Author information

Ryo Konno
https://orcid.org/0000-0002-4375-1133
Department of Applied Genomics Kazusa DNA Research Institute, 2-6-7 Kazusa Kamatari, Kisarazu, Chiba 292-0818, Japan
Toshio Kanno
https://orcid.org/0000-0002-7586-8723
Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, 2-6-7 Kazusa Kamatari, Kisarazu, Chiba 292-0818, Japan
Osamu Ohara
https://orcid.org/0000-0002-3328-9571
Department of Applied Genomics Kazusa DNA Research Institute, 2-6-7 Kazusa Kamatari, Kisarazu, Chiba 292-0818, Japan
Yusuke Endo
https://orcid.org/0000-0002-7223-1938
Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, 2-6-7 Kazusa Kamatari, Kisarazu, Chiba 292-0818, Japan
Department of Omics Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670 Japan
Yusuke Kawashima [Japan] Corresponding author
https://orcid.org/0000-0002-9779-8199
Department of Applied Genomics Kazusa DNA Research Institute, 2-6-7 Kazusa Kamatari, Kisarazu, Chiba 292-0818, Japan

Keywords: Protegenomics, DIA, immune cell

JOURNAL OPEN ACCESS
Supplementary material

2023 Volume 5 Pages 10-

DOI https://doi.org/10.14889/jpdm.2023.0010

Details

Abstract

The proteomic landscape caused by differentiation on CD4+ helper T (Th) cell subsets, such as Th1, Th2, Th17, and regulatory T cells (Treg) is still unclear. We performed DIA-MS for deep-proteomics analysis¹ from TRIzol lysis Th cell subset samples after RNAs isolation and successfully detected 8,312 protein groups².

Corresponding author

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