Project description:Prostate glands predominantly exhibit androgen dependence, but increasing evidence suggests that estrogen receptor signaling is involved in its development and pathogenesis. By integrating ChIP sequencing for estrogen receptor alpha (ERα) with transcriptome sequencing data from prostate cancer samples, we found ERα to significantly influence the noncoding transcriptome in prostate cancer. We identified one such long noncoding RNA, NEAT1, to play an important role in prostate cancer progression through direct regulation of transcription of its target genes. NEAT1, in an ERα dependent manner, promotes prostate tumorigenesis by interacting with and modulating chromatin state at promoters of prostate cancer specific signature genes. NEAT1 expression is positively correlated with PSMA in prostate adenocarcinoma and with B3GAT1 in neuroendocrine prostate cancer. This study identifies NEAT1 as a novel biomarker or therapeutic target in prostate cancer and also suggests that co-targeting ERα and androgen receptor (AR) may be effective for a subset of patients with advanced prostate cancer and with NEAT1 overexpression.
Project description:Prostate glands predominantly exhibit androgen dependence, but increasing evidence suggests that estrogen receptor signaling is involved in its development and pathogenesis. By integrating ChIP sequencing for estrogen receptor alpha (ERα) with transcriptome sequencing data from prostate cancer samples, we found ERα to significantly influence the noncoding transcriptome in prostate cancer. We identified one such long noncoding RNA, NEAT1, to play an important role in prostate cancer progression through direct regulation of transcription of its target genes. NEAT1, in an ERα dependent manner, promotes prostate tumorigenesis by interacting with and modulating chromatin state at promoters of prostate cancer specific signature genes. NEAT1 expression is positively correlated with PSMA in prostate adenocarcinoma and with B3GAT1 in neuroendocrine prostate cancer. This study identifies NEAT1 as a novel biomarker or therapeutic target in prostate cancer and also suggests that co-targeting ERα and androgen receptor (AR) may be effective for a subset of patients with advanced prostate cancer and with NEAT1 overexpression. mRNA profiles of MEF cell lines prepared from E13.5 embryos of wild-type (WT) and NEAT1 knockout (KO; NEAT1−/−) mice were generated by deep sequencing, using Illumina HiSeq 2000. Strand specific mRNA profiles of VCaP and VCaP ERa cell lines were generated by deep sequencing, using Illumina GA IIx.
Project description:The first aim of the study was to identify the genes regulated by the estrogen receptor alpha (ERa) in the normal mouse prostate, with and without the co-activation of the androgen receptor. The second objective was to decipher the changes in the estrogen and androgen responses in a tumoral context from prostate cancer-developping mice.
Project description:The aim of the study was to identify the genes regulated by the estrogen receptor alpha (ERa) in a human prostate cancer cell line (VCaP), with and without the co-activation of the oncogene AR (androgen receptor).
Project description:Although thousands of long non-coding RNAs (lncRNAs) are localized in the nucleus, only a few dozen have been functionally characterized. We found that nuclear paraspeckle assembly transcript 1 (NEAT1), an essential lncRNA for the formation of nuclear body paraspeckles, is induced by poly I:C stimulation, resulting in excess formation of paraspeckles. Using microarray analysis, we investigated whether NEAT1 induction followed by excess formation of paraspeckles was involved in poly I:C-inducible gene expression. We want to know the NEAT1-regulated genes. To the end, HeLa TO cells with and without poly I:C stimulation and NEAT1-knock down cells with and without poly I:C stimulation and cells transfected with mock plasmid or Neat1v2 expression plasmid alone were used for RNA extraction and hybridization on Affymetrix microarrays.
Project description:Breast cancer is one of the most prevalent cancers in women worldwide. Through the regulation of many coding and non-coding target genes, estrogen (E2 or 17b-estradiol) and its nuclear receptor ERα play important roles in breast cancer development and progression. Despite intensive studies on estrogen-regulated coding genes over the past decades, molecular mechanisms underlying estrogen-regulated non-coding RNAs in breast cancer remain to be elucidated. Here, we performed extensive epigenomic studies including GRO-seq and ATAC-seq, and identified genome-wide estrogen-regulated long non-coding RNAs (lncRNAs). Similar to the coding targets of ERα, the transcription of estrogen-regulated lncRNAs correlates with the activation status of ERα-bound enhancers, measured by eRNA production, chromatin accessibility, and the occupancy of the enhancer regulatory components including P300, MED1, and ARID1B. Our 3D chromatin architecture analyses suggest that lncRNAs and their neighboring E2-resonsive coding genes, exemplified by LINC00160 and RUNX1, might be regulated as a 3D structural unit resulted from enhancer-promoter interactions. Finally, we evaluated the expression levels of LINC00160 and RUNX1 in various types of breast cancer and found that their expression positively correlated with the survival rate in ER+ breast cancer patients, implying that the estrogen-regulated LINC00160 and its neighboring RUNX1 might represent potential biomarkers for ER+ breast cancers.
Project description:Breast cancer is one of the most prevalent cancers in women worldwide. Through the regulation of many coding and non-coding target genes, estrogen (E2 or 17b-estradiol) and its nuclear receptor ERα play important roles in breast cancer development and progression. Despite intensive studies on estrogen-regulated coding genes over the past decades, molecular mechanisms underlying estrogen-regulated non-coding RNAs in breast cancer remain to be elucidated. Here, we performed extensive epigenomic studies including GRO-seq and ATAC-seq, and identified genome-wide estrogen-regulated long non-coding RNAs (lncRNAs). Similar to the coding targets of ERα, the transcription of estrogen-regulated lncRNAs correlates with the activation status of ERα-bound enhancers, measured by eRNA production, chromatin accessibility, and the occupancy of the enhancer regulatory components including P300, MED1, and ARID1B. Our 3D chromatin architecture analyses suggest that lncRNAs and their neighboring E2-resonsive coding genes, exemplified by LINC00160 and RUNX1, might be regulated as a 3D structural unit resulted from enhancer-promoter interactions. Finally, we evaluated the expression levels of LINC00160 and RUNX1 in various types of breast cancer and found that their expression positively correlated with the survival rate in ER+ breast cancer patients, implying that the estrogen-regulated LINC00160 and its neighboring RUNX1 might represent potential biomarkers for ER+ breast cancers.