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      Identification and Characterization of mRNA and lncRNA Expression Profiles in Age-Related Hearing Loss

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          Abstract

          Objectives

          Age-related hearing loss (ARHL), or presbycusis, is caused by disorders of sensory hair cells and auditory neurons. Many studies have suggested that the accumulation of mitochondrial DNA damage, the production of reactive oxygen species, noise, inflammation, and decreased antioxidant function are associated with subsequent cochlear senescence in response to aging stress. Long non-coding RNA (lncRNA) has been reported to play important roles in various diseases. However, the function of lncRNA in ARHL remains unclear. In this study, we analyzed the common expression profiles of messenger RNA (mRNA) and lncRNA through ARHL-related RNA-sequencing datasets.

          Methods

          We selected and downloaded three different sets of RNA-sequencing data for ARHL. We performed differential expression analysis to find common mRNA and lncRNA profiles in the cochleae of aged mice compared to young mice. Gene Ontology (GO) analysis was used for functional exploration. Real-time quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was performed to validate mRNAs and lncRNAs. In addition, we performed trans target prediction analysis with differentially expressed mRNAs and lncRNAs to understand the function of these mRNAs and lncRNAs in ARHL.

          Results

          We identified 112 common mRNAs and 10 common lncRNAs in the cochleae of aged mice compared to young mice. GO analysis showed that the 112 upregulated mRNAs were enriched in the defense response pathway. When we performed qRT-PCR with 1 mM H 2O 2-treated House Ear Institute-Organ of Corti 1 (HEI-OC1) cells, the qRT-PCR results were consistent with the RNA-sequencing analysis data. lncRNA-mRNA networks were constructed using the 10 common lncRNAs and 112 common mRNAs in ARHL.

          Conclusion

          Our study provides a comprehensive understanding of the common mRNA and lncRNA expression profiles in ARHL. Knowledge of ARHL-associated mRNAs and lncRNAs could be useful for better understanding ARHL and these mRNAs and lncRNAs might be a potential therapeutic target for preventing ARHL.

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          Most cited references34

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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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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

              We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
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                Author and article information

                Journal
                Clin Exp Otorhinolaryngol
                Clin Exp Otorhinolaryngol
                CEO
                Clinical and Experimental Otorhinolaryngology
                Korean Society of Otorhinolaryngology-Head and Neck Surgery
                1976-8710
                2005-0720
                May 2023
                10 January 2023
                : 16
                : 2
                : 115-124
                Affiliations
                [1 ]Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
                [2 ]Department of Biochemistry, Chonnam National University Medical School, Gwangju, Korea
                [3 ]Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
                [4 ]Department of Neurology, Chonnam National University Medical School, Gwangju, Korea
                Author notes
                Corresponding author: Byeong C. Kim Department of Neurology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea Tel: +82-62-228-3461, Email: byeckim@ 123456gmail.com
                Co-corresponding author: Hyong-Ho Cho Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea Tel: +82-62-220-6772, Fax: +82-62-228-7743, Email: victocho@ 123456jnu.ac.kr
                Author information
                http://orcid.org/0000-0003-4708-2130
                http://orcid.org/0000-0003-0722-3031
                http://orcid.org/0000–0002-0755-110X
                http://orcid.org/0000-0003-4028-8339
                http://orcid.org/0000-0001-6827-6730
                http://orcid.org/0000–0002-1331–4039
                Article
                ceo-2022-01235
                10.21053/ceo.2022.01235
                10208853
                36634670
                961fc3b8-3905-4db2-81f6-ce441db8e20e
                Copyright © 2023 by Korean Society of Otorhinolaryngology-Head and Neck Surgery

                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 unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 September 2022
                : 19 December 2022
                : 10 January 2023
                Categories
                Original Article

                Otolaryngology
                presbycusis,hearing loss,long noncoding rna,messenger rna
                Otolaryngology
                presbycusis, hearing loss, long noncoding rna, messenger rna

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