Identification of RNA-based cell-type markers for stem-cell manufacturing systems with a statistical scoring function.

ABSTRACT: Cell-type biomarkers are useful in stem-cell manufacturing to monitor cell purity, quantity, and quality. However, the study on cell-type markers, specifically for stem cell manufacture, is limited. Emerging questions include which RNA transcripts can serve as biomarkers during stem cell culture and how to discover these biomarkers efficiently and precisely. We developed a scoring function system to identify RNA biomarkers with RNA-seq data for systems that have a limited number of cell types. We applied the method to two data sets, one for extracellular RNAs (ex-RNAs) and the other for intracellular microRNAs (miRNAs). The first data set has RNA-seq data of ex-RNAs from cell culture media for six different types of cells, including human embryonic stem cells. To get the RNA-seq data from

SUBMITTER: Shi Y 

PROVIDER: S-EPMC10861185 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature