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      Differential contributions of nuclear lamina association and genome compartmentalization to gene regulation

      research-article
      a , b , a , b
      Nucleus
      Taylor & Francis
      Gene regulation, Nuclear lamina, Nucleus architecture, Hi-C, cell differentiation

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          ABSTRACT

          Chromatin regions that interact with the nuclear lamina are often heterochromatic, repressed in gene expression, and in the spatial B compartment. However, exceptions to this trend allow us to examine the relative impact of lamin association and spatial compartment on gene regulation. Here, we compared lamin association, gene expression, Hi-C, and histone mark datasets from cell lines representing different states of differentiation across different cell-type lineages. With these data, we compare, for example, gene expression differences when a B compartment region is associated with the nuclear lamina in one cell type but not in another. In general, we observed an additive rather than redundant effect of lamin association and compartment status. But, whether compartment status or lamin association had a dominant influence on gene expression varied by cell type. Finally, we identified how compartment and lamin association influence the likelihood of gene induction or repression in response to physicochemical treatment.

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          Most cited references84

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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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            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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              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Journal
                Nucleus
                Nucleus
                Nucleus
                Taylor & Francis
                1949-1034
                1949-1042
                5 April 2023
                2023
                5 April 2023
                : 14
                : 1
                : 2197693
                Affiliations
                [a ]UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee; , Knoxville, TN, USA
                [b ]Biochemistry & Cellular and Molecular Biology, University of Tennessee; , Knoxville, TN, USA
                Author notes
                CONTACT Rachel Patton McCord rmccord@ 123456utk.edu Biochemistry & Cellular and Molecular Biology, University of Tennessee; , Knoxville, TN 37996, USA
                Author information
                https://orcid.org/0000-0002-6774-6718
                https://orcid.org/0000-0001-7249-3922
                https://orcid.org/0000-0003-0010-5323
                Article
                2197693
                10.1080/19491034.2023.2197693
                10078145
                37017584
                b7697a89-1f10-4249-97a6-25b7868d63b1
                © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 6, References: 85, Pages: 1
                Categories
                Research Article
                Research Paper

                Molecular biology
                gene regulation,nuclear lamina,nucleus architecture,hi-c,cell differentiation
                Molecular biology
                gene regulation, nuclear lamina, nucleus architecture, hi-c, cell differentiation

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