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      Cell-type-resolved alternative splicing patterns in mouse liver

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          Abstract

          Alternative splicing (AS) is an important post-transcriptional regulatory mechanism to generate transcription diversity. However, the functional roles of AS in multiple cell types from one organ have not been reported. Here, we provide the most comprehensive profile for cell-type-resolved AS patterns in mouse liver. A total of 13,637 AS events are detected, representing 81.5% of all known AS events in the database. About 46.2% of multi-exon genes undergo AS from the four cell types of mouse liver: hepatocyte, liver sinusoidal endothelial cell, Kupffer cell and hepatic stellate cell, which regulates cell-specific functions and maintains cell characteristics. We also present a cell-type-specific splicing factors network in these four cell types of mouse liver, allowing data mining and generating knowledge to elucidate the roles of splicing factors in sustaining the cell-type-specialized AS profiles and functions. The splicing switching of Tak1 gene between different cell types is firstly discovered and the specific Tak1 isoform regulates hepatic cell-type-specific functions is verified. Thus, our work constructs a hepatic cell-specific splicing landscape and reveals the considerable contribution of AS to the cell type constitution and organ features.

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          Most cited references21

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          Mitogen-activated protein kinases in innate immunity.

          Following pathogen infection or tissue damage, the stimulation of pattern recognition receptors on the cell surface and in the cytoplasm of innate immune cells activates members of each of the major mitogen-activated protein kinase (MAPK) subfamilies--the extracellular signal-regulated kinase (ERK), p38 and Jun N-terminal kinase (JNK) subfamilies. In conjunction with the activation of nuclear factor-κB and interferon-regulatory factor transcription factors, MAPK activation induces the expression of multiple genes that together regulate the inflammatory response. In this Review, we discuss our current knowledge about the regulation and the function of MAPKs in innate immunity, as well as the importance of negative feedback loops in limiting MAPK activity to prevent host tissue damage. We also examine how pathogens have evolved complex mechanisms to manipulate MAPK activation to increase their virulence. Finally, we consider the potential of the pharmacological targeting of MAPK pathways to treat autoimmune and inflammatory diseases.
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            The evolutionary landscape of alternative splicing in vertebrate species.

            How species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level is poorly understood. By comparing organ transcriptomes from vertebrate species spanning ~350 million years of evolution, we observed significant differences in alternative splicing complexity between vertebrate lineages, with the highest complexity in primates. Within 6 million years, the splicing profiles of physiologically equivalent organs diverged such that they are more strongly related to the identity of a species than they are to organ type. Most vertebrate species-specific splicing patterns are cis-directed. However, a subset of pronounced splicing changes are predicted to remodel protein interactions involving trans-acting regulators. These events likely further contributed to the diversification of splicing and other transcriptomic changes that underlie phenotypic differences among vertebrate species.
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              RBPmap: a web server for mapping binding sites of RNA-binding proteins

              Regulation of gene expression is executed in many cases by RNA-binding proteins (RBPs) that bind to mRNAs as well as to non-coding RNAs. RBPs recognize their RNA target via specific binding sites on the RNA. Predicting the binding sites of RBPs is known to be a major challenge. We present a new webserver, RBPmap, freely accessible through the website http://rbpmap.technion.ac.il/ for accurate prediction and mapping of RBP binding sites. RBPmap has been developed specifically for mapping RBPs in human, mouse and Drosophila melanogaster genomes, though it supports other organisms too. RBPmap enables the users to select motifs from a large database of experimentally defined motifs. In addition, users can provide any motif of interest, given as either a consensus or a PSSM. The algorithm for mapping the motifs is based on a Weighted-Rank approach, which considers the clustering propensity of the binding sites and the overall tendency of regulatory regions to be conserved. In addition, RBPmap incorporates a position-specific background model, designed uniquely for different genomic regions, such as splice sites, 5’ and 3’ UTRs, non-coding RNA and intergenic regions. RBPmap was tested on high-throughput RNA-binding experiments and was proved to be highly accurate.
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                Author and article information

                Journal
                DNA Res
                DNA Res
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press
                1340-2838
                1756-1663
                June 2018
                08 January 2018
                08 January 2018
                : 25
                : 3
                : 265-275
                Affiliations
                State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, China
                Author notes
                To whom correspondence should be addressed. Tel and Fax. +8610 80705299. Email: jiangying304@ 123456hotmail.com (Y.J.); Tel and Fax. +8610 68171208. Email: hefc@ 123456nic.bmi.ac.cn (F.H.)

                Peng Wu and Donghu Zhou authors are Co-first authors.

                Edited by Dr Minoru Yoshida

                Article
                dsx055
                10.1093/dnares/dsx055
                6014294
                29325017
                e97b7659-aee1-431b-aa01-716ba147ca44
                © The Author(s) 2018. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 06 September 2017
                : 26 December 2017
                Page count
                Pages: 11
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2016YFC0902400
                Award ID: 2017YFC0906603
                Funded by: Chinese State Key Projects for Basic Research
                Award ID: 2014CBA02001
                Award ID: 2013CB910502
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 81770581
                Award ID: 81570526
                Award ID: 81123001
                Funded by: Innovation project
                Award ID: 16CXZ027
                Funded by: Program of International S&T Cooperation
                Award ID: 2014DFB30020
                Award ID: 2014DFB30010
                Funded by: Natural Science Foundation of Beijing 10.13039/501100004826
                Award ID: 7152036
                Funded by: Beijing Science and Technology Project
                Award ID: Z161100002616036
                Funded by: Open Project Program of the State Key Laboratory of Proteomics
                Funded by: Academy of Military Medical Sciences
                Award ID: SKLP-O201509
                Funded by: China Postdoctoral Science Foundation 10.13039/501100002858
                Award ID: 2015M582850
                Categories
                Full Papers

                Genetics
                alternative splicing,cell specificity,hepatic cell types,splicing factor,isoform function
                Genetics
                alternative splicing, cell specificity, hepatic cell types, splicing factor, isoform function

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