Transcriptomics

Dataset Information

0

PKCα RNA-seq in t(4;14) cells


ABSTRACT: Multiple myeloma (MM) cells undergo metabolic reprogramming in response to a hypoxic and nutrient-deprived bone marrow microenvironment. However, it is unclear whether primary oncogenes in recurrent translocations drive metabolic heterogeneity that can present new vulnerabilities for therapeutic targeting. t(4;14) translocation leads to the universal overexpression of histone methyltransferase MMSET II that promotes plasma cell transformation through a global increase in H3K36me2. We identified PKCα as a novel epigenetic target that contributes to the oncogenic potential of MMSET II. RNA-sequencing of t(4;14) cell lines revealed a significant enrichment in the regulation of metabolic processes by PKCα, and the glycolytic gene, hexokinase 2 (HK2), is transcriptionally regulated by PKCα in a PI3K/Akt-dependent manner. Loss of PKCα displaces mitochondria-bound HK2 and reversed sensitivity towards the glycolytic blocker 3-Bromopyruvate. Additionally, we observed a metabolic shift to a less energetic state through the reduction in oxidative and glycolytic fluxes, resulting in an overall decrease in ATP production. We employed metabolomics and lactate emerged as a differential metabolite associated with PKCα. This conferred PKCα with immunomodulatory drug (IMiDs) resistance in a cereblon-independent manner and could be phenocopied by either overexpression of HK2 or direct supplementation of lactate. Altogether, we revealed novel insights into the epigenetic and metabolism crosstalk in MM and the opportunity for therapeutic intervention that leverages on the distinct metabolic program in t(4;14) myeloma.

ORGANISM(S): Homo sapiens

PROVIDER: GSE208739 | GEO | 2022/07/26

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2014-07-16 | GSE59424 | GEO
2019-01-01 | GSE98433 | GEO
2010-10-20 | GSE24746 | GEO
2010-10-20 | E-GEOD-24746 | biostudies-arrayexpress
2014-07-16 | E-GEOD-59424 | biostudies-arrayexpress
2023-05-05 | GSE229151 | GEO
2023-05-05 | GSE229153 | GEO
2014-09-01 | GSE57632 | GEO
2024-03-01 | GSE248896 | GEO
2014-09-01 | E-GEOD-57632 | biostudies-arrayexpress