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      Androgen-dependent and DNA-binding-independent association of androgen receptor with chromatic regions coding androgen-induced noncoding RNAs

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          ABSTRACT

          Androgen induces the binding of its receptor (AR) to androgen-responsive elements (AREs), while genome-wide studies showed that most androgen-induced AR binding sites on chromatin were unrelated to AREs. Enhancer RNAs (eRNAs), a class of noncoding RNAs (ncRNAs), are transcribed from superenhancers (SEs) and trigger the formation of large ribonucleoprotein condensates of transcription factors. By in silico search, an SE is found to be located on the locus of KLK3 that encodes prostate specific antigen. On the KLK3 SE, androgen-induced expression of ncRNAs was detected and designated as KLK3eRNAs in LNCaP cells, and androgen-induced association of AR and FOXA1 on the KLK3eRNA coding regions was detected. Such androgen-induced association of an AR mutant lacking DNA binding activity on the KLK3eRNA coding regions was undetectable on an exogenous ARE. Thus, the present findings suggest a molecular basis of androgen-induced association of AR with chromatin on ARE-unrelated sequences.

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          Most cited references40

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          STAR: ultrafast universal RNA-seq aligner.

          Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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            Considerations and Challenges in Studying Liquid-Liquid Phase Separation and Biomolecular Condensates

            Evidence is now mounting that liquid-liquid phase separation (LLPS) underlies the formation of membraneless compartments in cells. This realization has motivated major efforts to delineate the function of such biomolecular condensates in normal cells and their roles in contexts ranging from development to age-related disease. There is great interest in understanding the underlying biophysical principles and the specific properties of biological condensates with the goal of bringing insights into a wide range of biological processes and systems. The explosion of physiological and pathological contexts involving LLPS requires clear standards for their study. Here, we propose guidelines for rigorous experimental characterization of LLPS processes in vitro and in cells, discuss the caveats of common experimental approaches, and point out experimental and theoretical gaps in the field.
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              Coactivator condensation at super-enhancers links phase separation and gene control

              Super-enhancers (SEs) are clusters of enhancers that cooperatively assemble a high density of transcriptional apparatus to drive robust expression of genes with prominent roles in cell identity. Here, we demonstrate that the SE-enriched transcriptional coactivators BRD4 and MED1 form nuclear puncta at SEs that exhibit properties of liquid-like condensates and are disrupted by chemicals that perturb condensates. The intrinsically disordered regions (IDRs) of BRD4 and MED1 can form phase-separated droplets and MED1-IDR droplets can compartmentalize and concentrate transcription apparatus from nuclear extracts. These results support the idea that coactivators form phase-separated condensates at SEs that compartmentalize and concentrate the transcription apparatus, suggest a role for coactivator IDRs in this process, and offer insights into mechanisms involved in control of key cell identity genes.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Bioscience, Biotechnology, and Biochemistry
                Oxford University Press (OUP)
                1347-6947
                September 2021
                September 22 2021
                July 23 2021
                September 2021
                September 22 2021
                July 23 2021
                : 85
                : 10
                : 2121-2130
                Affiliations
                [1 ]Research Institute of Innovative Medicine, Tokiwa Foundation, Iwaki, Fukushima, Japan
                [2 ]Graduate School of Life Science and Engineering, Iryo Sosei University, Iino, Chuo-dai, Iwaki, Fukushima, Japan
                [3 ]Department of Hematology, Jyoban Hospital, Tokiwa Foundation, Iwaki, Fukushima, Japan
                [4 ]Department of Urology, Jyoban Hospital, Tokiwa Foundation, Iwaki, Fukushima, Japan
                [5 ]School of Medicine, Fukushima Medical University, Fukushima, Fukushima, Japan
                Article
                10.1093/bbb/zbab135
                34297060
                7c422fd6-4cd8-4aa2-a606-2723c09dc317
                © 2021

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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