Omics · dataset · 2026
Androgen receptor mediated gene regulatory networks in prostate cancer
Listed in ZivaHub and Deakin Research Online and DMU Figshare and UCL Research Data Repository — shown once because both records carry DOI 10.17034/32633475.v1
Prostate cancer (PCa) is the most common cancer diagnosed in men.
Description
The androgen receptor (AR) is a well-studied master regulator of PCa. Patients with metastatic PCa develop resistance to AR-targeted therapies, which can arise in part from tumour microenvironment signaling.
AR activity is often maintained in treatment-resistant metastatic PCa alongside other important changes including epithelial-to-mesenchymal transition and hypoxia. It is challenging to define the causative/driver events as treatment resistance emerges due to the cellular and genomic heterogeneity in prostate tissue.In this study, I have undertaken a meta-analysis of datasets mapping AR recruitment to chromatin to identify conserved features of AR binding to the genome across clinical datasets.
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To enhance this approach, a conventional peak calling and a novel machine learning approach, LanceOtron was employed, to identify binding sites that would otherwise be missed by applying rigid thresholding to peak calling. Chromatin immunoprecipitation (ChIP), is used to map AR recruitment to the genome, which conventionally has sensitivity issues and creates challenges when working with low cell numbers/heterogenous samples.
To address this, I have used a “low cell ChIP” method known as MNase ChIP for the first time to assess AR recruitment to chromatin.Finally, to provide insights into the transcriptional impact of stromal and immune cells on PCa cells, a pre-clinical co-culture model was used. Using a combination of phenotypic assays, ChIP, transcript profiling and metabolomics I show that co-culture with either stromal or immune cells induces HIF1α signaling and TGF beta responses, leading to a more glycolytic state with partial EMT in cells and reduced recruitment of AR to many canonical ARBs.
This recapitulates some of the key changes that occur in tissue during the emergence of treatment resistance disease and provides a framework for future translational studies to further address the crosstalk between this signaling and changes in AR activity.<br><br>
Links
Where it is published
- DOI doi.org/10.17034/32633475.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · RNA sequencing · RNA sequencing · RNA sequencing · RNA sequencing
- Inferred from text
- Cancer 75% · Disease 75% · Oncology and carcinogenesis 72%
Provenance · 4 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/32633475 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/32633475 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/32633475 | 5 d ago | JSON v1 |
| UCL Research Data Repository | oai:figshare.com:article/32633475 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[modality].local:modality:rna-seq | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['RNA sequencing'] |
| concepts[modality].local:modality:rna-seq | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['RNA sequencing'] |
| concepts[modality].local:modality:rna-seq | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['RNA sequencing'] |
| concepts[modality].local:modality:rna-seq | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['RNA sequencing'] |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |