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      CRISPR and biochemical screens identify MAZ as a cofactor in CTCF-mediated insulation at Hox clusters

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          Abstract

          CCCTC-binding factor (CTCF) is critical to three-dimensional genome organization. Upon differentiation, CTCF insulates active and repressed genes within Hox gene clusters. We conducted a genome-wide CRISPR knockout (KO) screen to identify genes required for CTCF-boundary activity at the HoxA cluster, complemented by biochemical approaches. Among the candidates, we identified Myc-associated zinc-finger protein (MAZ) as a cofactor in CTCF insulation. MAZ colocalizes with CTCF at chromatin borders and, similar to CTCF, interacts with the cohesin subunit RAD21. MAZ KO disrupts gene expression and local contacts within topologically associating domains. Similar to CTCF motif deletions, MAZ motif deletions lead to derepression of posterior Hox genes immediately after CTCF boundaries upon differentiation, giving rise to homeotic transformations in mouse. Thus, MAZ is a factor contributing to appropriate insulation, gene expression and genomic architecture during development.

          Abstract

          Genome-wide screens identify several genes, including MAZ, required for CTCF-mediated insulation. MAZ interacts with cohesin, and MAZ motif deletions derepress posterior Hox gene expression, leading to homeotic transformations in mouse.

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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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              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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                Author and article information

                Contributors
                Danny.Reinberg@nyulangone.org
                Journal
                Nat Genet
                Nat Genet
                Nature Genetics
                Nature Publishing Group US (New York )
                1061-4036
                1546-1718
                10 February 2022
                10 February 2022
                2022
                : 54
                : 2
                : 202-212
                Affiliations
                [1 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Howard Hughes Medical Institute, , NYU Grossman School of Medicine, ; New York, NY USA
                [2 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Department of Biochemistry and Molecular Pharmacology, , NYU Grossman School of Medicine, ; New York, NY USA
                [3 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Department of Pathology, , NYU Grossman School of Medicine, ; New York, NY USA
                [4 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Applied Bioinformatics Laboratories, , NYU Grossman School of Medicine, ; New York, NY USA
                [5 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Department of Radiation Oncology, , NYU Grossman School of Medicine, ; New York, NY USA
                [6 ]GRID grid.51462.34, ISNI 0000 0001 2171 9952, Department of Medicine, , Memorial Sloan Kettering Cancer Center, ; New York, NY USA
                [7 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Institute for Computational Medicine, , NYU Grossman School of Medicine, ; New York, NY USA
                [8 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Department of Biology, , New York University, ; New York, NY USA
                Author information
                http://orcid.org/0000-0003-3382-9125
                http://orcid.org/0000-0002-7512-8477
                http://orcid.org/0000-0001-8994-681X
                http://orcid.org/0000-0003-4288-2016
                Article
                1008
                10.1038/s41588-021-01008-5
                8837555
                35145304
                f3da7ad4-73d3-4e81-bb64-3ed36e3f5a82
                © The Author(s) 2022

                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
                : 8 February 2021
                : 22 December 2021
                Funding
                Funded by: This information has been provided in Acknowledgements.
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2022

                Genetics
                epigenetics,gene regulation,gene targeting,stem cells,pattern formation
                Genetics
                epigenetics, gene regulation, gene targeting, stem cells, pattern formation

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