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      Altered microRNAs in C3H10T1/2 cells induced by p.E95K mutant IHH signaling

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          Abstract

          Background

          Indian Hedgehog (IHH), an important cell signaling protein, plays a key regulatory role in development of cartilage and chondrogenesis. Earlier studies have shown that heterozygous missense mutations in IHH gene may cause brachydactyly type A1 (BDA1), an autosomal dominant inheritance disease characterized by apparent shortness or absence of the middle phalanges of all digits. MicroRNAs (miRNAs) have been found to be significant post-transcriptional regulators of gene expression and significantly influence the process of bone-development. Therefore, it is possible that miRNAs are involved in the mechanism underlying the development of BDA1. However, the relationship between miRNAs and the pathogenesis of BDA1 remains unclear.

          Methods

          In this study, we used microarray-based miRNA profiling to investigate the role of miRNAs in BDA1 by characterization of differentially expressed miRNAs in C3H10T1/2 cell line induced by wild type (WT) and p.E95K mutant (MT) IHH signaling.

          Results

          Our results identified 6 differentially expressed miRNAs between WT and control (CT) group and 5 differentially expressed miRNAs between MT and CT groups. In particular, miR-135a-1-3p was found to be a significantly differentially expressed miRNA between WT and CT group. Results of dual-luciferase reporter gene experiment successfully discovered Hoxd10 was one of the target gene of miR-135a-1-3p. Additionally, our pathway analysis revealed that the targets of these miRNAs of interest were highly involved with Runx1/2, Notch and collagen-related pathways.

          Conclusions

          Taken together, our findings provided important clue for future study of the process of miRNA-regulation in IHH signaling and novel insights into the regulatory role of miRNA in pathogenesis of BDA1.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s41065-021-00207-8.

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          Most cited references40

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          KEGG: kyoto encyclopedia of genes and genomes.

          M Kanehisa (2000)
          KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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            KEGG: new perspectives on genomes, pathways, diseases and drugs

            KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the KEGG database project. Molecular-level functions are stored in the KO (KEGG Orthology) database, where each KO is defined as a functional ortholog of genes and proteins. Higher-level functions are represented by networks of molecular interactions, reactions and relations in the forms of KEGG pathway maps, BRITE hierarchies and KEGG modules. In the past the KO database was developed for the purpose of defining nodes of molecular networks, but now the content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases. The newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined. Furthermore, the DISEASE and DRUG databases have been improved by systematic analysis of drug labels for better integration of diseases and drugs with the KEGG molecular networks. KEGG is moving towards becoming a comprehensive knowledge base for both functional interpretation and practical application of genomic information.
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              The Reactome Pathway Knowledgebase

              Abstract The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression profiles or somatic mutation catalogues from tumor cells. To support the continued brisk growth in the size and complexity of Reactome, we have implemented a graph database, improved performance of data analysis tools, and designed new data structures and strategies to boost diagram viewer performance. To make our website more accessible to human users, we have improved pathway display and navigation by implementing interactive Enhanced High Level Diagrams (EHLDs) with an associated icon library, and subpathway highlighting and zooming, in a simplified and reorganized web site with adaptive design. To encourage re-use of our content, we have enabled export of pathway diagrams as ‘PowerPoint’ files.
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                Author and article information

                Contributors
                xiaofangsun@gzhmu.edu.cn
                zh1103@shchest.org
                yoyomailer@sjtu.edu.cn
                Journal
                Hereditas
                Hereditas
                Hereditas
                BioMed Central (London )
                0018-0661
                1601-5223
                18 December 2021
                18 December 2021
                2021
                : 158
                : 48
                Affiliations
                [1 ]GRID grid.417009.b, ISNI 0000 0004 1758 4591, Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, , The Third Affiliated Hospital of Guangzhou Medical University, ; Guangdong Guangzhou, China
                [2 ]Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Guangzhou, Guangdong China
                [3 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), , Bio-X Institutes, Shanghai Jiao Tong University, ; 200030 Shanghai, China
                [4 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, School of Life Sciences and Biotechnology, , Shanghai Jiao Tong University, ; 200240 Shanghai, China
                [5 ]GRID grid.8547.e, ISNI 0000 0001 0125 2443, Institutes of Biomedical Sciences, , Fudan University, ; 200030 Shanghai, China
                [6 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Xinhua Hospital, , Shanghai Jiao Tong University School of Medicine, ; 200093 Shanghai, China
                [7 ]GRID grid.412524.4, ISNI 0000 0004 0632 3994, Department of Pulmonary and Critical Care Medicine, , Shanghai Chest Hospital, Shanghai Jiao Tong University, ; No. 241, West Huaihai Road, 200030 Shanghai, China
                Author information
                http://orcid.org/0000-0002-0659-2399
                Article
                207
                10.1186/s41065-021-00207-8
                8684136
                34922634
                877a1d78-c2cb-4de1-8b5e-ce1d3c0f1643
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 June 2021
                : 14 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100008233, school of medicine, shanghai jiao tong university;
                Award ID: YG2019QNA51
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                microrna,brachydactyly type a1,indian hedgehog,pathogenesis

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