Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data.
Journal
Nature computational science
ISSN: 2662-8457
Titre abrégé: Nat Comput Sci
Pays: United States
ID NLM: 101775476
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
medline:
17
11
2023
pubmed:
17
11
2023
entrez:
17
11
2023
Statut:
ppublish
Résumé
Resolving chromatin-remodeling-linked gene expression changes at cell-type resolution is important for understanding disease states. Here we describe MAGICAL (Multiome Accessibility Gene Integration Calling and Looping), a hierarchical Bayesian approach that leverages paired single-cell RNA sequencing and single-cell transposase-accessible chromatin sequencing from different conditions to map disease-associated transcription factors, chromatin sites, and genes as regulatory circuits. By simultaneously modeling signal variation across cells and conditions in both omics data types, MAGICAL achieved high accuracy on circuit inference. We applied MAGICAL to study
Identifiants
pubmed: 37974651
doi: 10.1038/s43588-023-00476-5
pmc: PMC10653299
mid: NIHMS1939726
doi:
Types de publication
Journal Article
Langues
eng
Pagination
644-657Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM071966
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA053625
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA058527
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI164559
Pays : United States
Déclaration de conflit d'intérêts
Competing interests A.G.L. is a military service member. This work was prepared as part of his official duties. Title 17, US Code §105 provides that copyright protection under this title is not available for any work of the US Government. Title 17, US code §101 defines a US Government work as a work prepared by a military service member or employee of the US Government as part of that person’s official duties. The views expressed in the article are those of the authors and do not necessarily express the official policy and position of the US Navy, the Department of Defense, the US Government, or the institutions affiliated with the authors. V.G.F. reports personal fees from Novartis, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co., MedImmune, Bayer, Basilea, Affinergy, Janssen, Contrafect, Regeneron, Destiny, Amphliphi Biosciences, Integrated Biotherapeutics; C3J, Armata, Valanbio; Akagera, Aridis, Roche, grants from NIH, MedImmune, Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Merck; Medical Biosurfaces; Locus; Affinergy; Contrafect; Karius; Genentech, Regeneron, Deep Blue, Basilea, Janssen; Royalties from UpToDate, stock options from Valanbio and ArcBio, Honoraria from Infectious Diseases of America for his service as Associate Editor of Clinical Infectious Diseases, and a patent sepsis diagnostics pending. L.C.N. has received consulting fees from work as a scientific advisor for AbbVie, ViiV Healthcare, and Cytodyn and also serves on the Board of Directors of CytoDyn and has financial interests in Ledidi AS, all for work outside of the submitted work. S.C.S. is a founder of GNOMX Corp and serves as chief scientific officer. The remaining authors declare no competing interests.
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