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PXD033400

PXD033400 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti omics analysis of adaptation to repeated DNA damage in prostate cancer cells.
DescriptionDNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges facing cancer patients and their treating clinicians. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic model of prostate cancer exhibiting more aggressive characteristics to better understand the molecular signatures associated with resistance and metastasis. 22Rv1 cells were repeatedly exposed to DNA damage daily for 6 weeks, similar to patient treatment regimes. Using Illumina MethylationEPIC arrays and RNA-seq, we compared the DNA methylation and transcriptional profiles between the parental 22Rv1 cell line and the lineage exposed to prolonged DNA damage. Here we show that repeated DNA damage drives the molecular evolution of cancer cells to a more aggressive phenotype and identify molecular candidates behind this process. Total DNA methylation was increased in cells exposed to repeated DNA damage. Further, RNA-seq demonstrated these cells had dysregulated expression of genes involved in metabolism and the unfolded protein response (UPR) with ASNS identified as central to this process. While limited overlap between RNA-seq and DNA methylation was evident, OGDHL was identified as altered in both data sets. Utilising a second approach we profiled the proteome in 22Rv1 cells following a single dose of radiotherapy. This analysis also highlighted the UPR in response to DNA damage. Together, these analyses identified dysregulation of metabolism and the UPR and identified ASNS and OGDHL as candidate genes for resistance to DNA damage. This work provides critical insight into molecular changes which may underpin treatment resistance and metastasis.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:45:04.689.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRichard Wilson
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-04-23 15:38:50ID requested
12023-04-26 17:51:13announced
22023-11-14 08:45:10announced2023-11-14: Updated project metadata.
Publication List
Wang JH, Chuang YF, Chen J, Singh V, Lin FL, Wilson R, Tu L, Ma C, Wong RCB, Wang PY, Zhong J, Hewitt AW, van Wijngaarden P, Dusting GJ, Liu GS, An Integrative Multi-Omics Analysis Reveals MicroRNA-143 as a Potential Therapeutic to Attenuate Retinal Angiogenesis. Nucleic Acid Ther, 32(4):251-266(2022) [pubmed]
Keyword List
submitter keyword: multi-omics, prostate cancer, unfolded protein response,Radiotherapy, DNA damage
Contact List
Dr Richard Wilson
contact affiliationProteomics facility, Central Science Laboratory, University of Tasmania
contact emailrichard.wilson@utas.edu.au
lab head
Richard Wilson
contact affiliationUniversity of Tasmania
contact emailrichard.wilson@utas.edu.au
dataset submitter
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