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      Integrated analysis of m 6A mRNA methylation in rats with monocrotaline-induced pulmonary arterial hypertension

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          Abstract

          Background: N6-methyladenosine (m 6A) modification is one of the most common chemical modifications of eukaryotic mRNAs, which play an important role in tumors and cardiovascular disease through regulating mRNA stability, splicing and translation. However, the changes of m 6A mRNA and m 6A-related enzymes in pulmonary arterial hypertension (PAH) remain largely unexplored.

          Methods: MeRIP-seq was used to identify m 6A methylation in lung tissues from control and MCT-PAH rats. Western blot and immunofluorescence were used to evaluate expression of m 6A-related enzymes.

          Results: Compared with control group, m 6A methylation was mainly increased in lung tissues from MCT-PAH rats. The up-methylated coding genes in MCT-PAH rats were primarily enriched in processes associated with inflammation, glycolysis, ECM-receptor interaction and PDGF signal pathway, while genes with down-methylation were enriched in processes associated with TGF-β family receptor members. The expression of FTO and ALKBH5 downregulated, METTL3 and YTHDF1 increased and other methylation modification-related proteins was not significantly changed in MCT-PAH rats lung tissues. Immunofluorescence indicated that expression of FTO decreased and YTHDF1 increased in small pulmonary arteries of MCT-PAH rats.

          Conclusion: m 6A levels and the expression of methylation-related enzymes were altered in PAH rats, in which FTO and YTHDF1 may play a crucial role in m 6A modification.

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            HISAT: a fast spliced aligner with low memory requirements.

            HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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              Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

              DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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                Author and article information

                Journal
                Aging (Albany NY)
                Aging
                Aging (Albany NY)
                Impact Journals
                1945-4589
                31 July 2021
                26 July 2021
                : 13
                : 14
                : 18238-18256
                Affiliations
                [1 ]Academy of Pediatrics, University of South China, Changsha 410007, China
                [2 ]Department of Cardiology, Hunan Children’s Hospital, Changsha 410007, China
                [3 ]Department of Utrasound, Hunan Children’s Hospital, Changsha 410007, China
                [4 ]Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Changsha 410011, China
                [5 ]Department of Intensive Care Unit, Hunan Children’s Hospital, Changsha 410007, China
                Author notes
                [*]

                Equal contribution

                Correspondence to: Na Liu; email: naliu1025@csu.edu.cn
                Correspondence to: Yunbin Xiao; email: xiaoyunbinrui@126.com, https://orcid.org/0000-0003-0208-6947
                Article
                203230 203230
                10.18632/aging.203230
                8351682
                34310344
                2772cb8d-6cfa-4374-bf95-c097245fd178
                Copyright: © 2021 Zeng et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 October 2020
                : 04 June 2021
                Categories
                Research Paper

                Cell biology
                pulmonary arterial hypertension,n6-methyladenosine,fto,ythdf1
                Cell biology
                pulmonary arterial hypertension, n6-methyladenosine, fto, ythdf1

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