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      The functional and molecular impact of triamcinolone acetonide on primary human bone marrow mesenchymal stem cells

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          Abstract

          Traumatic or degenerative joint pain is abundant in the population. Symptom relief by intra- and periarticular glucocorticoid administration is frequently used, however may have potentially devastating effects, changing the normal healing process of the joint. Mesenchymal stem cells (MSCs) are important for wound-healing processes due to their multipotency in regenerating osteoblasts, chondrocytes and adipocytes but also have immunomodulatory properties. The aim of this study was to investigate the impact of triamcinolone acetonide (TA) a common glucocorticoid administrated intra- and periarticularly, on human bone marrow derived MSC viability, functionality, multi-lineage differentiation and transcriptomic output. We found that TA treatment induced apoptosis and promoted adipogenesis while impairing chondrogenesis of MSCs. RNA sequencing indicated that TA modulated the inflammatory response of MSCs, which may have an impact on the immunologic environment where the inflammatory phase is a physiological part of the natural healing process. These data indicate that triamcinolone acetonide should be used with consideration bearing the patient’s outcome in mind, with the intention to optimize joint recovery and homeostasis.

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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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            Mapping and quantifying mammalian transcriptomes by RNA-Seq.

            We have mapped and quantified mouse transcriptomes by deeply sequencing them and recording how frequently each gene is represented in the sequence sample (RNA-Seq). This provides a digital measure of the presence and prevalence of transcripts from known and previously unknown genes. We report reference measurements composed of 41-52 million mapped 25-base-pair reads for poly(A)-selected RNA from adult mouse brain, liver and skeletal muscle tissues. We used RNA standards to quantify transcript prevalence and to test the linear range of transcript detection, which spanned five orders of magnitude. Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3' untranscribed regions, as well as new candidate microRNA precursors. RNA splice events, which are not readily measured by standard gene expression microarray or serial analysis of gene expression methods, were detected directly by mapping splice-crossing sequence reads. We observed 1.45 x 10(5) distinct splices, and alternative splices were prominent, with 3,500 different genes expressing one or more alternate internal splices.
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              The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote

              Read alignment is an ongoing challenge for the analysis of data from sequencing technologies. This article proposes an elegantly simple multi-seed strategy, called seed-and-vote, for mapping reads to a reference genome. The new strategy chooses the mapped genomic location for the read directly from the seeds. It uses a relatively large number of short seeds (called subreads) extracted from each read and allows all the seeds to vote on the optimal location. When the read length is <160 bp, overlapping subreads are used. More conventional alignment algorithms are then used to fill in detailed mismatch and indel information between the subreads that make up the winning voting block. The strategy is fast because the overall genomic location has already been chosen before the detailed alignment is done. It is sensitive because no individual subread is required to map exactly, nor are individual subreads constrained to map close by other subreads. It is accurate because the final location must be supported by several different subreads. The strategy extends easily to find exon junctions, by locating reads that contain sets of subreads mapping to different exons of the same gene. It scales up efficiently for longer reads.
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                Author and article information

                Contributors
                maritha.kumlin@ki.se
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 December 2023
                8 December 2023
                2023
                : 13
                : 21787
                Affiliations
                [1 ]Division of Orthopaedics and Biotechnology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, K54, ( https://ror.org/056d84691) 141 86 Stockholm, Sweden
                [2 ]Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine (HERM), Karolinska Institute, ( https://ror.org/056d84691) Stockholm, Sweden
                [3 ]ME Hematology, Karolinska University Hospital, ( https://ror.org/00m8d6786) Stockholm, Sweden
                Article
                48448
                10.1038/s41598-023-48448-z
                10709330
                38066109
                6336d1a3-1a6b-42be-8485-8efb1fba2464
                © The Author(s) 2023

                Open Access This 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/.

                History
                : 26 July 2023
                : 27 November 2023
                Funding
                Funded by: Independent research grants from Region Stockholm and Karolinska Institutet
                Funded by: The Swedish Research Council
                Award ID: 2019-01361
                Award ID: 2022-01228
                Award ID: 2019-01361
                Award ID: 2022-01228
                Award Recipient :
                Funded by: Vinnova
                Award ID: 2021-04481
                Award ID: 2021-04481
                Award Recipient :
                Funded by: Karolinska Institutet doctoral education funding
                Award ID: 2021-00480
                Award Recipient :
                Funded by: Karolinska Institute
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                mesenchymal stem cells,stem-cell differentiation
                Uncategorized
                mesenchymal stem cells, stem-cell differentiation

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