Deciphering cancer cell state plasticity with single-cell genomics and artificial intelligence
Abstract Cancer stem cell plasticity refers to the ability of tumour cells to dynamically switch between states—for example, from cancer stem cells to non-cancer stem cell states. Governed by regulatory processes, cells transition through a continuum, with this transition space often referred to as...
Main Authors: | Emily Holton, Walter Muskovic, Joseph E Powell |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-02-01
|
Series: | Genome Medicine |
Online Access: | https://doi.org/10.1186/s13073-024-01309-4 |
Similar Items
-
DropletQC: improved identification of empty droplets and damaged cells in single-cell RNA-seq data
by: Walter Muskovic, et al.
Published: (2021-12-01) -
Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma
by: Maximilian Merz, et al.
Published: (2022-02-01) -
Single-cell protein-DNA interactomics and multiomics tools for deciphering genome regulation
by: Xiong Haiqing, et al.
Published: (2023-03-01) -
Single-cell analyses to decipher cell fate reprogramming
by: Xing, Qiaorui
Published: (2020) -
Single-cell transcriptomic analysis in a mouse model deciphers cell transition states in the multistep development of esophageal cancer
by: Jiacheng Yao, et al.
Published: (2020-07-01)