Systematic single-cell pathway analysis to characterize early T cell activation.

CP: Immunology SCPA T cell arachidonic acid cytokines gene set metabolism pathway analysis single-cell RNA-seq single-cell pathway analysis type I interferon

Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
22 11 2022
Historique:
received: 31 01 2022
revised: 06 07 2022
accepted: 31 10 2022
entrez: 23 11 2022
pubmed: 24 11 2022
medline: 26 11 2022
Statut: ppublish

Résumé

Pathway analysis is a key analytical stage in the interpretation of omics data, providing a powerful method for detecting alterations in cellular processes. We recently developed a sensitive and distribution-free statistical framework for multisample distribution testing, which we implement here in the open-source R package single-cell pathway analysis (SCPA). We demonstrate the effectiveness of SCPA over commonly used methods, generate a scRNA-seq T cell dataset, and characterize pathway activity over early cellular activation. This reveals regulatory pathways in T cells, including an intrinsic type I interferon system regulating T cell survival and a reliance on arachidonic acid metabolism throughout T cell activation. A systems-level characterization of pathway activity in T cells across multiple tissues also identifies alpha-defensin expression as a hallmark of bone-marrow-derived T cells. Overall, this work provides a widely applicable tool for single-cell pathway analysis and highlights regulatory mechanisms of T cells.

Identifiants

pubmed: 36417885
pii: S2211-1247(22)01571-6
doi: 10.1016/j.celrep.2022.111697
pmc: PMC10704209
mid: NIHMS1946770
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Intramural Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

111697

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG006137
Pays : United States
Organisme : NCI NIH HHS
ID : U2C CA233285
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 HL999999
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA HL006223
Pays : United States

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Références

BMC Genomics. 2018 Jun 19;19(1):477
pubmed: 29914354
Nat Commun. 2021 Feb 10;12(1):907
pubmed: 33568645
Nat Protoc. 2009;4(1):44-57
pubmed: 19131956
Bioinformatics. 2020 Aug 15;36(14):4217-4219
pubmed: 32437538
Curr Biol. 2014 May 19;24(10):R453-62
pubmed: 24845678
Nat Methods. 2017 Nov;14(11):1083-1086
pubmed: 28991892
Blood. 2000 Nov 1;96(9):3086-93
pubmed: 11049988
Nat Commun. 2019 Sep 26;10(1):4376
pubmed: 31558714
Semin Cell Dev Biol. 2019 Apr;88:163-172
pubmed: 29501617
Nat Rev Immunol. 2020 Jan;20(1):55-70
pubmed: 31406325
Genome Biol. 2017 Sep 12;18(1):174
pubmed: 28899397
Pharmacol Res. 2019 Nov;149:104456
pubmed: 31553935
Bioinformatics. 2014 Apr 1;30(7):923-30
pubmed: 24227677
AIDS. 2003 Sep 26;17(14):F23-32
pubmed: 14502030
Proc Natl Acad Sci U S A. 2014 Jun 24;111(25):9229-34
pubmed: 24927527
Bioinformatics. 2011 Jun 15;27(12):1739-40
pubmed: 21546393
Nat Biotechnol. 2019 May;37(5):547-554
pubmed: 30936559
Comput Struct Biotechnol J. 2021 Jun 30;19:3796-3798
pubmed: 34285779
Nat Commun. 2019 Oct 17;10(1):4706
pubmed: 31624246
Cell. 2021 Jun 24;184(13):3573-3587.e29
pubmed: 34062119
Nat Commun. 2020 Mar 27;11(1):1585
pubmed: 32221292
Nat Biotechnol. 2019 Jun;37(6):685-691
pubmed: 31061482
Cell. 2019 Jun 13;177(7):1873-1887.e17
pubmed: 31178122
J Immunol. 2022 Feb 15;208(4):807-818
pubmed: 35039330
Bioinformatics. 2016 Sep 15;32(18):2847-9
pubmed: 27207943
Cell Syst. 2015 Dec 23;1(6):417-425
pubmed: 26771021
Front Immunol. 2020 May 07;11:764
pubmed: 32457744
Genome Biol. 2020 Jan 16;21(1):12
pubmed: 31948481
Bioinformatics. 2016 Oct 1;32(19):3047-8
pubmed: 27312411
Bioinformatics. 2010 Jan 1;26(1):139-40
pubmed: 19910308
Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50
pubmed: 16199517
Nature. 2009 Nov 5;462(7269):108-12
pubmed: 19847166
Genomics. 2021 Mar;113(2):606-619
pubmed: 33485955
Nat Rev Immunol. 2015 Apr;15(4):231-42
pubmed: 25790790
Bioinformatics. 2013 Jan 1;29(1):15-21
pubmed: 23104886
BMC Bioinformatics. 2013 Jan 16;14:7
pubmed: 23323831
Science. 2016 Jun 17;352(6292):aad1210
pubmed: 27313051
Nat Immunol. 2013 Oct;14(10):1064-72
pubmed: 23955661
Cell. 2019 Jun 13;177(7):1888-1902.e21
pubmed: 31178118
Genome Biol. 2019 Mar 19;20(1):59
pubmed: 30890159
Nucleic Acids Res. 2016 Jul 8;44(W1):W90-7
pubmed: 27141961
J Immunol. 2016 Jan 1;196(1):106-14
pubmed: 26621861
J Exp Med. 2015 Aug 24;212(9):1345-60
pubmed: 26261266
Immunity. 2018 Feb 20;48(2):202-213
pubmed: 29466753
J Exp Med. 1999 Feb 1;189(3):521-30
pubmed: 9927514
Nat Biotechnol. 2015 May;33(5):495-502
pubmed: 25867923

Auteurs

Jack A Bibby (JA)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Divyansh Agarwal (D)

Massachusetts General Hospital, Harvard Medical School, Boston, MA 02108, USA.

Tilo Freiwald (T)

Immunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD 20892, USA.

Natalia Kunz (N)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Nicolas S Merle (NS)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Erin E West (EE)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Parul Singh (P)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Andre Larochelle (A)

Cellular and Molecular Therapeutics Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Fariba Chinian (F)

Cellular and Molecular Therapeutics Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Somabha Mukherjee (S)

Department of Statistics and Data Science, National University of Singapore, Singapore 117546, Singapore.

Behdad Afzali (B)

Immunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD 20892, USA.

Claudia Kemper (C)

Complement and Inflammation Research Section (CIRS), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA; Institute for Systemic Inflammation Research, University of Lübeck, 23562 Lübeck, Germany. Electronic address: claudia.kemper@nih.gov.

Nancy R Zhang (NR)

Department of Statistics, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: nzh@wharton.upenn.edu.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
Killer Cells, Natural Animals Colorectal Neoplasms Decorin Adenoviridae
Humans Receptors, Antigen, T-Cell Proto-Oncogene Proteins p21(ras) Pancreatic Neoplasms T-Lymphocytes

Classifications MeSH