Nikolay Oskolkov, Malgorzata Santel, Hemang M Parikh, Ola Ekström, Gray J Camp, Eri Miyamoto-Mikami, Kristoffer Ström, Bilal Ahmad Mir, Dmytro Kryvokhyzha, Mikko Lehtovirta, Hiroyuki Kobayashi, Ryo Kakigi, Hisashi Naito, Karl-Fredrik Eriksson, Björn Nystedt, Noriyuki Fuku, Barbara Treutlein, Svante Pääbo, Ola Hansson
BACKGROUND: Skeletal muscle fiber type distribution has implications for human health, muscle function, and performance. This knowledge has been gathered using labor-intensive and costly methodology that limited these studies. Here, we present a method based on muscle tissue RNA sequencing data (totRNAseq) to estimate the distribution of skeletal muscle fiber types from frozen human samples, allowing for a larger number of individuals to be tested. METHODS: By using single-nuclei RNA sequencing (snRNAseq) data as a reference, cluster expression signatures were produced by averaging gene expression of cluster gene markers and then applying these to totRNAseq data and inferring muscle fiber nuclei type via linear matrix decomposition...
July 2, 2022: Skeletal Muscle