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      Differential chondrogenic differentiation between iPSC derived from healthy and OA cartilage is associated with changes in epigenetic regulation and metabolic transcriptomic signatures

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          Abstract

          Induced pluripotent stem cells (iPSCs) are potential cell sources for regenerative medicine. The iPSCs exhibit a preference for lineage differentiation to the donor cell type indicating the existence of memory of origin. Although the intrinsic effect of the donor cell type on differentiation of iPSCs is well recognized, whether disease-specific factors of donor cells influence the differentiation capacity of iPSC remains unknown. Using viral based reprogramming, we demonstrated the generation of iPSCs from chondrocytes isolated from healthy (AC-iPSCs) and osteoarthritis cartilage (OA-iPSCs). These reprogrammed cells acquired markers of pluripotency and differentiated into uncommitted mesenchymal-like progenitors. Interestingly, AC-iPSCs exhibited enhanced chondrogenic potential as compared OA-iPSCs and showed increased expression of chondrogenic genes. Pan-transcriptome analysis showed that chondrocytes derived from AC-iPSCs were enriched in molecular pathways related to energy metabolism and epigenetic regulation, together with distinct expression signature that distinguishes them from OA-iPSCs. Our molecular tracing data demonstrated that dysregulation of epigenetic and metabolic factors seen in OA chondrocytes relative to healthy chondrocytes persisted following iPSC reprogramming and differentiation toward mesenchymal progenitors. Our results suggest that the epigenetic and metabolic memory of disease may predispose OA-iPSCs for their reduced chondrogenic differentiation and thus regulation at epigenetic and metabolic level may be an effective strategy for controlling the chondrogenic potential of iPSCs.

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          Most cited references43

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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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            Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement.

            The considerable therapeutic potential of human multipotent mesenchymal stromal cells (MSC) has generated markedly increasing interest in a wide variety of biomedical disciplines. However, investigators report studies of MSC using different methods of isolation and expansion, and different approaches to characterizing the cells. Thus it is increasingly difficult to compare and contrast study outcomes, which hinders progress in the field. To begin to address this issue, the Mesenchymal and Tissue Stem Cell Committee of the International Society for Cellular Therapy proposes minimal criteria to define human MSC. First, MSC must be plastic-adherent when maintained in standard culture conditions. Second, MSC must express CD105, CD73 and CD90, and lack expression of CD45, CD34, CD14 or CD11b, CD79alpha or CD19 and HLA-DR surface molecules. Third, MSC must differentiate to osteoblasts, adipocytes and chondroblasts in vitro. While these criteria will probably require modification as new knowledge unfolds, we believe this minimal set of standard criteria will foster a more uniform characterization of MSC and facilitate the exchange of data among investigators.
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              The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

              A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein–protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein–protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                30 January 2023
                2023
                : 12
                : e83138
                Affiliations
                [1 ] Department of Orthopaedics, Emory University ( https://ror.org/03czfpz43) Atlanta United States
                [2 ] Atlanta VA Medical Center ( https://ror.org/04z89xx32) Decatur United States
                [3 ] School of Chemical Materials and Biomedical Engineering, University of Georgia ( https://ror.org/02bjhwk41) Athens United States
                [4 ] Regenerative Bioscience Center, E.L. Rhodes Center for ADS, University of Georgia ( https://ror.org/02bjhwk41) Athens United States
                [5 ] Department of Neuroscience, School of Medicine, University of Connecticut Health ( https://ror.org/02kzs4y22) Farmington United States
                Washington University in St. Louis ( https://ror.org/01yc7t268) United States
                Icahn School of Medicine at Mount Sinai ( https://ror.org/04a9tmd77) United States
                Washington University in St. Louis ( https://ror.org/01yc7t268) United States
                Washington University in St. Louis ( https://ror.org/01yc7t268) United States
                Washington University Medical Center ( https://ror.org/036c27j91) United States
                Author information
                https://orcid.org/0000-0002-1637-7641
                https://orcid.org/0000-0002-4331-4099
                https://orcid.org/0000-0002-3322-281X
                Article
                83138
                10.7554/eLife.83138
                9886280
                36715686
                e01c84ae-3c2b-45fd-92fd-c716120bef55

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 31 August 2022
                : 16 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100019592, Veterans Administration Medical Center;
                Award ID: CaReAP Award I01-BX004878
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100016220, Georgia Clinical and Translational Science Alliance;
                Award ID: REM Pilot Project 00080502
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004829, Connecticut Innovations;
                Award ID: Stem Cell Fund Seed Grants #13-SCA-UCHC-11
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004829, Connecticut Innovations;
                Award ID: Stem Cell Fund Seed Grants #0SCA36
                Award Recipient :
                The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Cell Biology
                Stem Cells and Regenerative Medicine
                Custom metadata
                The iPSCs derived from OA cartilage showed memory of disease which affect its chondrogenic potential and regulation at epigenetic and metabolic level may be used to control the regenerative potential of these iPSCs.

                Life sciences
                chondrocytes,transcriptomics,stem cells,human,mouse
                Life sciences
                chondrocytes, transcriptomics, stem cells, human, mouse

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