← BioTransfer GEO Dataset Finder
GEO series

MFF marks a metabolic vulnerability of multiple myeloma

GSE286009 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/11/18 Platform GPL23934
Summary
Increased mitochondrial fragmentation drives significant metabolic reprogramming that contributes to tumor progression. We explored the functional role of MFF (Mitochondrial Fission Factor), a key regulator of mitochondrial fragmentation, in the pathobiology of multiple myeloma (MM). MFF was found overexpressed in MM primary samples and cell lines, driving altered mitochondrial dynamics and metabolic reprogramming. MFF silencing inhibited MM cell proliferation, survival, and colony formation in vitro and in vivo. MFF overexpression promoted oxidative phosphorylation (OXPHOS) and a shift towards mitochondrial metabolism, while MFF knockdown favored glycolysis. These metabolic alterations were associated with alterations in lactate intracellular levels. Interestingly, lactate transporter inhibitors, in combination with MFF-targeting strategies, synergistically reduced MM cell viability and overcame proteasome inhibitor (PI) resistance. These findings highlight MFF as a key regulator of mitochondrial dynamics and metabolic adaptation in MM.
Published in
Mitochondrial fission factor drives an actionable metabolic vulnerability in multiple myeloma
Cantafio MEG, Valentino I, Torcasio R et al. · Haematologica 2025 · PMID 40400476 · doi:10.3324/haematol.2025.287526
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE286009_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1207479 and SRA study SRP555771. 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.

+ 8 more — browse all 8 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.