Cell-free Chromatin Immunoprecipitation to detect molecular pathways in Physiological and Disease States.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
25 Jan 2023
Historique:
entrez: 15 2 2023
pubmed: 16 2 2023
medline: 16 2 2023
Statut: epublish

Résumé

Patient monitoring is a cornerstone in clinical practice to define disease phenotypes and guide clinical management. Unfortunately, this is often reliant on invasive and/or less sensitive methods that do not provide deep phenotype assessments of disease state to guide treatment. This paper examined plasma cell-free DNA chromatin immunoprecipitation sequencing (cfChIP-seq) to define molecular gene sets in physiological and heart transplant patients taking immunosuppression medications. We show cfChIP-seq reliably detect gene signals that correlate with gene expression. In healthy controls and in heart transplant patients, cfChIP-seq reliably detected housekeeping genes. cfChIP-seq identified differential gene signals of the relevant immune and non-immune molecular pathways that were predominantly downregulated in immunosuppressed heart transplant patients compared to healthy controls. cfChIP-seq also identified tissue sources of cfDNA, detecting greater cell-free DNA from cardiac, hematopoietic, and other non-hematopoietic tissues such as the pulmonary, digestive, and neurological tissues in transplant patients than healthy controls. cfChIP-seq gene signals were reproducible between patient populations and blood collection methods. cfChIP-seq may therefore be a reliable approach to provide dynamic assessments of molecular pathways and tissue injury associated to disease.

Identifiants

pubmed: 36789421
doi: 10.1101/2023.01.24.525414
pmc: PMC9928031
pii:
doi:

Types de publication

Preprint

Langues

eng

Commentaires et corrections

Type : UpdateIn

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Auteurs

Moon K Jang (MK)

Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.

Tovah E Markowitz (TE)

NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD.

Temesgen E Andargie (TE)

Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.

Zainab Apalara (Z)

Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.

Skyler Kuhn (S)

NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD.

Sean Agbor-Enoh (S)

Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD.
Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD.

Classifications MeSH