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      Endogenous retroviruses drive species-specific germline transcriptomes in mammals

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          Abstract

          Gene regulation in the germline ensures the production of high-quality gametes, long-term maintenance of the species, and speciation. Male germline transcriptomes undergo dynamic changes after the mitosis-to-meiosis transition and have been subject to evolutionary divergence among mammals. However, the mechanisms underlying germline regulatory divergence remain undetermined. Here, we show that endogenous retroviruses (ERVs) influence species-specific germline transcriptomes. After the mitosis-to-meiosis transition in male mice, specific ERVs function as active enhancers to drive germline genes, including a mouse-specific gene set, and bear binding motifs for critical regulators of spermatogenesis such as A-MYB. This raises the possibility that a genome-wide transposition of ERVs rewired germline gene expression in a species-specific manner. Of note, independently evolved ERVs are associated with the expression of human-specific germline genes, demonstrating the prevalence of ERV-driven mechanisms in mammals. Together, we propose that ERVs fine-tune species-specific transcriptomes in the mammalian germline.

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          Is Open Access

          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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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              NIH Image to ImageJ: 25 years of image analysis

              For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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                Author and article information

                Journal
                101186374
                31761
                Nat Struct Mol Biol
                Nat Struct Mol Biol
                Nature structural & molecular biology
                1545-9993
                1545-9985
                11 June 2021
                07 September 2020
                October 2020
                01 July 2021
                : 27
                : 10
                : 967-977
                Affiliations
                [1 ]Division of Reproductive Sciences, Division of Developmental Biology, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, 45229, USA
                [2 ]Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45229, USA
                [3 ]Department of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan
                [4 ]Faculty of Science and Technology, Department of Applied Biological Science, Tokyo University of Science, Chiba 278-8510, Japan.
                [5 ]Division of Allergy and Immunology, Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, 45229, USA
                [6 ]Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences and RIKEN Cluster for Pioneering Research, Yokohama, 230-0045, Japan
                [7 ]Center for Prevention of Preterm Birth, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, 45229, USA
                [8 ]Department for Theoretical Biology, University of Vienna, 1090 Vienna, Austria
                [9 ]Present address: Department of Molecular Biology, Keio University School of Medicine, Tokyo 160-8582, Japan
                Author notes

                Author contributions

                The manuscript was written by A.S., K.G.A., and S.H.N., with critical feedback from all other authors, and A.S. and S.H.N. designed the study. S.M. performed cross-linking ChIP-seq experiments, and A.S. performed native ChIP-seq experiments. A.S. analyzed A-myb mutant mice with the help of K.T. A.S. and K.T. performed CRISPRa experiments. A.S. performed immunostaining and dual-luciferase reporter assay. Y.C.H. supervised the generation of the Zfy2 enhancer-deletion mice. A.S., K.G.A., M.Y., S. K., N.F.P., A.B., M.P., and S.H.N. designed and interpreted the computational analyses; A.S. performed the majority of computational analyses. S.H.N. supervised the project.

                [* ]Corresponding author: satoshi.namekawa@ 123456cchmc.org
                Article
                NIHMS1610898
                10.1038/s41594-020-0487-4
                8246630
                32895553
                62bbd320-0d0e-4e31-9bd1-58786a57b08f

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                Molecular biology
                Molecular biology

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