Global response to chemotherapy-induced apoptosis
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
| Accession | GSE48785 |
| Title | Global response to chemotherapy-induced apoptosis |
| Description | Here we use an integrated systems-level examination of transcription, translation, and proteolysis to explore how cancer cells struggle with a chemotherapeutic drug prior to succumbing to apoptosis. As a model system we study myeloma cells exposed to the proteasome inhibitor bortezomib, a first-line clinical treatment. Despite robust transcriptional changes, unbiased quantitative proteomics detects production of only a few critical anti-apoptotic proteins against a background of general translation inhibition. Ribosome profiling further reveals potential translational regulation of stress response genes following bortezomib treatment. Once the apoptotic machinery is engaged, degradation by caspases is largely independent of changes at the transcriptional level. Moreover, previously uncharacterized non-caspase proteolytic events also participate in cellular deconstruction. As suggested by these data, we find that inhibition of the anti-apoptotic response regulator HSF1 promotes cell death by bortezomib. Thus, monitoring global cellular dynamics after chemotherapy offers in-depth insight into apoptosis and can also guide potential therapeutic combinations. |
| Landing Page | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48785 |
| Repository | Gene Expression Omnibus |
Tools
used to analyze the dataset
Canned Analyses
generated with the dataset
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
