Transcriptomics

Dataset Information

0

Integrated electrophysiological and genomic profiles of single cells reveal spiking tumor cells in human glioma [scRNA-seq]


ABSTRACT: Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in IDH mutant (IDHmut) tumors demonstrate properties of both neurons and glia by firing single, short action potentials. To define these hybrid cells (HCs) and discern if they are tumor in origin, we developed a computational tool, Single Cell Rule Association Mining (SCRAM), to annotate each cell individually. SCRAM revealed that HCs represent tumor and non-tumor cells that have select features of GABAergic neurons and oligodendrocyte precursor cells. These studies are the first to characterize the combined electrophysiological and molecular properties of human glioma cells and describe a new cell type in human glioma with unique electrophysiological and transcriptomic properties that may also exist in the non-tumor brain.

ORGANISM(S): Homo sapiens

PROVIDER: GSE271959 | GEO | 2024/07/23

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-07-23 | GSE271961 | GEO
2016-01-25 | E-MTAB-4092 | biostudies-arrayexpress
| PRJNA1134204 | ENA
| PRJNA1134206 | ENA
2009-09-17 | E-GEOD-17806 | biostudies-arrayexpress
2016-05-26 | GSE77564 | GEO
2009-09-05 | GSE17806 | GEO
2024-07-29 | GSE272940 | GEO
2020-08-28 | GSE157019 | GEO
2024-06-20 | PXD044407 | Pride