Optimizing RNA extraction methods for high-throughput transcriptome sequencing of formalin-fixed paraffin-embedded cardiac tissue specimens.

Saved in:
Bibliographic Details
Title: Optimizing RNA extraction methods for high-throughput transcriptome sequencing of formalin-fixed paraffin-embedded cardiac tissue specimens.
Authors: Odogwu NM; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Jang JS; Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, United States of America.; Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Albertson S; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Hagen C; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Rasmussen B; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Saji O; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America., Nelson TJ; Program for Hypoplastic Left Heart Syndrome, Mayo Clinic Rochester, Rochester, Minnesota, United States of America.; Division of Cardiovascular Medicine, General Internal Medicine, Mayo Clinic Rochester, Rochester, Minnesota, United States of America.; Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, Rochester, Minnesota, United States of America.; Center for Regenerative Medicine, Mayo Clinic Rochester, Rochester, Minnesota, United States of America.
Corporate Authors: Wanek Program Preclinical Pipeline
Source: PloS one [PLoS One] 2024 Dec 26; Vol. 19 (12), pp. e0315098. Date of Electronic Publication: 2024 Dec 26 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0315098