Article

Classifying cell cycle states and a quiescent-like G0 state using single-cell transcriptomics

2024-04-20

Abstract excerpt

Single-cell transcriptomics has unveiled a vast landscape of cellular heterogeneity in which the cell cycle is a significant component. We trained a high-resolution cell cycle classifier (ccAFv2) using single cell RNA-seq (scRNA-seq) characterized human neural stem cells. The ccAFv2 classifies six cell cycle states (G1, Late G1, S, S/G2, G2/M, and M/Early G1) and a quiescent-like G0 state (Neural G0), and it incor...

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Literature Corpus work: 188676b1-2ae8-5ac3-bea3-29f3539b48c7
DOI: 10.1101/2024.04.16.589816

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