CENPA-Bound Genes and Transcriptional Profiling of CENPA-Depleted Prostate Cancer Cells
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PROVIDER: PRJNA525618 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional Profiling of CENPA-Depleted Prostate Cancer Cell Lines
| PRJNA525633 | ENA
Project description:Functional Taxonomy of CENPA-Bound Genes in Prostate Cancer
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Project description:This SuperSeries is composed of the SubSeries listed below.
2019-03-06 | GSE127837 | GEO
Project description:Overexpression of centromeric proteins has been identified in a number of human malignancies, though their functional and mechanistic contributions to disease progression have not been characterized. CENPA, the centromeric histone H3 variant, is the epigenetic mark that determines centromere identity. Here, we demonstrate that CENPA is highly overexpressed in prostate cancer in both tissue and cell lines, and the level of CENPA expression correlates with the stage of disease. Gain-of- and loss-of-function experimentation confirms that CENPA promotes prostate cancer cell line growth. Integrated sequencing studies further reveal a previously unidentified function of CENPA as a transcriptional regulator that modulates expression of critical proliferation, cell-cycle, and centromere/kinetochore genes. Our findings, therefore, suggest a previously undescribed biological function for CENPA, a protein normally thought to be solely and importantly involved in centromere identity.
2019-03-06 | GSE127836 | GEO
Project description:Growing studies support a direct role for nuclear mTOR in gene regulation and chromatin structure. Still, the scarcity of known chromatin-bound mTOR partners limits our understanding of how nuclear mTOR controls transcription. Herein, we comprehensively mapped the mTOR chromatin-bound interactome in four cellular models of prostate cancer (PCa) identifying a conserved 67-protein interaction network enriched for epigenetic and transcription factors as well as SUMOylation machinery in both androgen-dependent and -independent cells. Notably, SUMO2/3 and nuclear pore protein NUP210 are among the strongest interactors while the androgen receptor (AR) is the dominant androgen-inducible mTOR partner. Further investigation showed that NUP210 facilitates mTOR nuclear trafficking, that mTOR, AR and NuRD act as a functional transcriptional complex, and that androgens dictate mTOR-SUMO2/3 promoter-enhancer specificity. This work identifies a vast network of mTOR-associated nuclear complexes advocating novel molecular strategies to modulate mTOR-dependent gene regulation with evident implications for PCa and other diseases.
2022-04-01 | PXD026101 | Pride
Project description:Overexpression of centromeric proteins has been identified in a number of human malignancies, though their functional and mechanistic contributions to disease progression have not been characterized. CENPA, the centromeric histone H3 variant, is the epigenetic mark that determines centromere identity. Here, we demonstrate that CENPA is highly overexpressed in prostate cancer in both tissue and cell lines, and the level of CENPA expression correlates with the stage of disease. Gain-of- and loss-of-function experimentation confirms that CENPA promotes prostate cancer cell line growth. Integrated sequencing studies further reveal a previously unidentified function of CENPA as a transcriptional regulator that modulates expression of critical proliferation, cell-cycle, and centromere/kinetochore genes. Our findings, therefore, suggest a previously undescribed biological function for CENPA, a protein normally thought to be solely and importantly involved in centromere identity.
2019-03-06 | GSE127835 | GEO
Project description:Gene expression in gamma-glutamylcyclotransferase-depleted human prostate cancer PC3 cells.
| PRJNA646727 | ENA
Project description:The dataset "Prostate Cancer and Normal Adjacent Prostate RNA-seq samples, NGS-ProToCol" includes 41 Normal Adjacent Prostate and 51 ribo-depleted Prostate Cancer RNA-seq samples.
| EGAS00001002816 | EGA
Project description:BACKGROUND: Prostate cancer is the most frequently diagnosed cancer among men in the United States. In contrast, cancer of the seminal vesicle is exceedingly rare, despite that the prostate and seminal vesicle share similar histology, secretory function, androgen dependency, blood supply, and (in part) embryonic origin. We hypothesized that gene-expression differences between prostate and seminal vesicle might inform mechanisms underlying the higher incidence of prostate cancer. METHODS: Whole-genome DNA microarrays were used to profile gene expression of 11 normal prostate and 7 seminal vesicle specimens (including 6 matched pairs) obtained from radical prostatectomy. Supervised analysis was used to identify genes differentially expressed between normal prostate and seminal vesicle, and this list was then cross-referenced to genes differentially expressed between normal and cancerous prostate. Expression patterns of selected genes were confirmed by immunohistochemistry using a tissue microarray. We identified 32 genes that displayed a highly statistically-significant expression pattern with highest levels in seminal vesicle, lower levels in normal prostate, and lowest levels in prostate cancer. Among these genes was the known candidate prostate tumor suppressor GSTP1 (involved in xenobiotic detoxification). The expression pattern of GSTP1 and four other genes, ABCG2 (xenobiotic transport), CRABP2 (retinoic acid signaling), GATA3 (lineage-specific transcription) and SLPI (immune response), was confirmed by immunohistochemistry. CONCLUSIONS: Our findings identify candidate prostate cancer genes whose reduced expression in prostate (compared to seminal vesicle) may be permissive to prostate cancer initiation. Such genes and their pathways may inform mechanisms of prostate carcinogenesis, and suggest new opportunities for prostate cancer prevention. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Disease State: normal prostate vs normal seminal vesicle sample Individual Keywords: Logical Set
2008-05-08 | GSE11376 | GEO
Project description:Mass spectrometry analysis of immunoreactive protein spots revealed that seveal prostate cancer patient sera had autoantibodies to a number of proteins associated with both the glycolysis and plasminogen pathways.
2017-01-06 | PXD003968 | Pride