StemSC: a cross-dataset human stemness index for single-cell samples.

ABSTRACT:

Background

Stemness is defined as the potential of cells for self-renewal and differentiation. Many transcriptome-based methods for stemness evaluation have been proposed. However, all these methods showed low negative correlations with differentiation time and can't leverage the existing experimentally validated stem cells to recognize the stem-like cells.

Methods

Here, we constructed a stemness index for single-cell samples (StemSC) based on relative expression orderings (REO) of gene pairs. Firstly, we identified the stemness-related genes by selecting the genes significantly related to differentiation time. Then, we used 13 RNA-seq datasets from both the bulk and single-cell embryonic stem cell (ESC) samples to construct the reference REOs. Finally, the StemSC value of a

SUBMITTER: Zheng H 

PROVIDER: S-EPMC8935746 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature