← BioTransfer GEO Dataset Finder
GEO series

Cytoplasmic localization of SETDB1 induced Warburg effect via c-MYC/ LDHA axis to enhance migration and invasion in breast carcinoma

GSE253717 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2024/03/13 Platform GPL23227
Summary
SETDB1, a pivotal histone lysine methyltransferase, has been identified as being transported to the cytoplasm through a CMR1-dependent pathway, contributing to non-histone methylation. However, the function and underlying mechanism of cytoplasmic SETDB1 in breast cancer remain elusive. This study, employing immunohistochemistry, revealed that an elevated level of cytoplasmic SETDB1 is correlated with lymph node metastasis and more aggressive breast cancer subtypes. Functionally, cytoplasmic SETDB1 proves indispensable for cell migration and invasion, as well as the induction of epithelial-mesenchymal transition (EMT), which could be reversed by LMB (a CMR1 inhibitor) treatment. Furthermore, it was observed that cytoplasmic SETDB1 elevates the levels of metabolites associated with the Warburg effect, including glucose, pyruvate, lactate, and ATP. Mechanistically, the release of nuclear SETDB1 alleviates the inhibition of c-MYC transcription, leading to increased c-MYC expression and subsequent up-regulation of LDHA expression. Notably, LDHA overexpression enhanced migration and invasion by inducing EMT, while its depletion can reverse SETDB1-induced migration and invasion, as well as the Warburg effect and EMT. In conclusion, the subcellular localization of cytoplasmic SETDB1 emerges as a pivotal factor in breast cancer progression. This study offers valuable insights into the novel functions and mechanisms of cytoplasmic SETDB1.
Published in
Cytoplasmic localization of SETDB1‑induced Warburg effect via c‑MYC‑LDHA axis enhances migration and invasion in breast carcinoma
Yang W, Wei Y, Wang T et al. · International journal of molecular medicine 2024 · PMID 38426579 · doi:10.3892/ijmm.2024.5364
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE253717_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1066816 and SRA study SRP484792. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 9 more — browse all 9 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.