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      Loci-specific phase separation of FET fusion oncoproteins promotes gene transcription

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          Abstract

          Abnormally formed FUS/EWS/TAF15 (FET) fusion oncoproteins are essential oncogenic drivers in many human cancers. Interestingly, at the molecular level, they also form biomolecular condensates at specific loci. However, how these condensates lead to gene transcription and how features encoded in the DNA element regulate condensate formation remain unclear. Here, we develop an in vitro single-molecule assay to visualize phase separation on DNA. Using this technique, we observe that FET fusion proteins undergo phase separation at target binding loci and the phase separated condensates recruit RNA polymerase II and enhance gene transcription. Furthermore, we determine a threshold number of fusion-binding DNA elements that can enhance the formation of FET fusion protein condensates. These findings suggest that FET fusion oncoprotein promotes aberrant gene transcription through loci-specific phase separation, which may contribute to their oncogenic transformation ability in relevant cancers, such as sarcomas and leukemia.

          Abstract

          FUS/EWS/TAF15 (FET) fusion oncoproteins contain low complexity domain which forms biomolecular condensates that recruit RNA polymerase II. Here the authors develop a single-molecule assay to visualize this phenomenon providing in vitro evidence to support causative relationship between the formation of condensates on DNA and gene transcription. Furthermore, they also determine a threshold number of fusion-binding DNA satellite elements required for the formation of FET protein condensates.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Near-optimal probabilistic RNA-seq quantification.

              We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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                Author and article information

                Contributors
                xu.huang@glasgow.ac.uk
                pilongli@mail.tsinghua.edu.cn
                zhiqi7@pku.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 March 2021
                5 March 2021
                2021
                : 12
                : 1491
                Affiliations
                [1 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Center for Quantitative Biology, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, , Peking University, ; Beijing, China
                [2 ]GRID grid.12527.33, ISNI 0000 0001 0662 3178, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, , Tsinghua University-Peking University Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, ; Beijing, China
                [3 ]GRID grid.8756.c, ISNI 0000 0001 2193 314X, Paul O’Gorman Leukaemia Research Centre, Institute of Cancer Sciences, MVLS, , University of Glasgow, ; Glasgow, UK
                Author information
                http://orcid.org/0000-0002-6228-0162
                http://orcid.org/0000-0001-6706-199X
                http://orcid.org/0000-0002-1783-3100
                http://orcid.org/0000-0002-1572-9721
                Article
                21690
                10.1038/s41467-021-21690-7
                7935978
                33674598
                fc8b1153-88ff-4cd9-a9a7-e5d9589bff12
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 May 2020
                : 8 February 2021
                Funding
                Funded by: SULSA-PECRE/Royal Society IES\R2\192078
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 31871443
                Award ID: 31670762
                Award Recipient :
                Funded by: The National Key R&D Program (2019YFA0508403)
                Categories
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                © The Author(s) 2021

                Uncategorized
                single-molecule biophysics
                Uncategorized
                single-molecule biophysics

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