2023
DOI: 10.1016/j.xcrm.2023.101249
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Tumor heterogeneity and tumor-microglia interactions in primary and recurrent IDH1-mutant gliomas

Enrique Blanco-Carmona,
Ashwin Narayanan,
Inmaculada Hernandez
et al.
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Cited by 10 publications
(2 citation statements)
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“…The chromatin landscape in TAM-MGs has been explored using single-cell ATAC-seq in human and mouse gliomas, which has the advantage of being able to separate subpopulations of immune cells from other tumor cells, but is limited by uneven sequencing coverage and transcript biases. Nonetheless, chromatin accessibility distinguishing TAM-MGs from other infiltrating immune cell populations 30 and different TAM-MG phenotypic states across gliomas 31 have been reported. However, the active enhancers and their interacting transcription factors regulating the human TAM-MG state have not been explored.…”
Section: Resultsmentioning
confidence: 99%
“…The chromatin landscape in TAM-MGs has been explored using single-cell ATAC-seq in human and mouse gliomas, which has the advantage of being able to separate subpopulations of immune cells from other tumor cells, but is limited by uneven sequencing coverage and transcript biases. Nonetheless, chromatin accessibility distinguishing TAM-MGs from other infiltrating immune cell populations 30 and different TAM-MG phenotypic states across gliomas 31 have been reported. However, the active enhancers and their interacting transcription factors regulating the human TAM-MG state have not been explored.…”
Section: Resultsmentioning
confidence: 99%
“…As well, the “oligodendrocyte-like” differentiation state was shown to be “stalled” with an aberrantly blocked myelination transcriptional program [ 223 ]. Such analyses have been enhanced by longitudinal studies in primary/recurrent IDH-mutant gliomas specimens, tracking changes and stability in persistent and recurrent tumor subpopulations [ 21 ]. Additionally, multi-omic analyses, including scRNA-seq plus scATAC-seq [ 3 , 12 , 223 ] or scRNA-seq plus single-cell DNA methylome [ 39 , 103 ], have enhanced transcriptional cell state diversity analysis and helped to reconstruct more accurate transcription factor regulatory networks.…”
Section: Defining Tumor Heterogeneity Using Single-cell Transcriptomicsmentioning
confidence: 99%