Pub Date : 2024-01-05DOI: 10.1007/s40778-023-00232-5
Bryan Le, Amin Cressman, David Morales, Fernando A Fierro
{"title":"First Clinical Experiences Using Preconditioning Approaches to Improve MSC-Based Therapies","authors":"Bryan Le, Amin Cressman, David Morales, Fernando A Fierro","doi":"10.1007/s40778-023-00232-5","DOIUrl":"https://doi.org/10.1007/s40778-023-00232-5","url":null,"abstract":"","PeriodicalId":37444,"journal":{"name":"Current Stem Cell Reports","volume":"5 4","pages":"1-7"},"PeriodicalIF":1.4,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-11DOI: 10.1007/s40778-023-00230-7
P. Greulich
{"title":"Quantitative Modelling in Stem Cell Biology and Beyond: How to Make Best Use of It","authors":"P. Greulich","doi":"10.1007/s40778-023-00230-7","DOIUrl":"https://doi.org/10.1007/s40778-023-00230-7","url":null,"abstract":"","PeriodicalId":37444,"journal":{"name":"Current Stem Cell Reports","volume":"19 3","pages":"67 - 76"},"PeriodicalIF":1.4,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138979191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01Epub Date: 2023-06-29DOI: 10.1007/s40778-023-00227-2
Madison M Mehlferber, Muge Kuyumcu-Martinez, Clint L Miller, Gloria M Sheynkman
Purpose of review: The underlying molecular mechanisms that direct stem cell differentiation into fully functional, mature cells remain an area of ongoing investigation. Cell state is the product of the combinatorial effect of individual factors operating within a coordinated regulatory network. Here, we discuss the contribution of both gene regulatory and splicing regulatory networks in defining stem cell fate during differentiation and the critical role of protein isoforms in this process.
Recent findings: We review recent experimental and computational approaches that characterize gene regulatory networks, splice regulatory networks, and the resulting transcriptome and proteome they mediate during differentiation. Such approaches include long-read RNA sequencing, which has demonstrated high-resolution profiling of mRNA isoforms, and Cas13-based CRISPR, which could make possible high-throughput isoform screening. Collectively, these developments enable systems-level profiling of factors contributing to cell state.
Summary: Overall, gene and splice regulatory networks are important in defining cell state. The emerging high-throughput systems-level approaches will characterize the gene regulatory network components necessary in driving stem cell differentiation.
{"title":"Transcription factors and splice factors - interconnected regulators of stem cell differentiation.","authors":"Madison M Mehlferber, Muge Kuyumcu-Martinez, Clint L Miller, Gloria M Sheynkman","doi":"10.1007/s40778-023-00227-2","DOIUrl":"10.1007/s40778-023-00227-2","url":null,"abstract":"<p><strong>Purpose of review: </strong>The underlying molecular mechanisms that direct stem cell differentiation into fully functional, mature cells remain an area of ongoing investigation. Cell state is the product of the combinatorial effect of individual factors operating within a coordinated regulatory network. Here, we discuss the contribution of both gene regulatory and splicing regulatory networks in defining stem cell fate during differentiation and the critical role of protein isoforms in this process.</p><p><strong>Recent findings: </strong>We review recent experimental and computational approaches that characterize gene regulatory networks, splice regulatory networks, and the resulting transcriptome and proteome they mediate during differentiation. Such approaches include long-read RNA sequencing, which has demonstrated high-resolution profiling of mRNA isoforms, and Cas13-based CRISPR, which could make possible high-throughput isoform screening. Collectively, these developments enable systems-level profiling of factors contributing to cell state.</p><p><strong>Summary: </strong>Overall, gene and splice regulatory networks are important in defining cell state. The emerging high-throughput systems-level approaches will characterize the gene regulatory network components necessary in driving stem cell differentiation.</p>","PeriodicalId":37444,"journal":{"name":"Current Stem Cell Reports","volume":"9 1","pages":"31-41"},"PeriodicalIF":2.3,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11210451/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49477765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-11-18DOI: 10.1007/s40778-023-00229-0
L E Wadkin, I Makarenko, N G Parker, A Shukurov, F C Figueiredo, M Lako
Purpose of review: To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications.
Recent findings: hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy.
Summary: Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.
{"title":"Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling.","authors":"L E Wadkin, I Makarenko, N G Parker, A Shukurov, F C Figueiredo, M Lako","doi":"10.1007/s40778-023-00229-0","DOIUrl":"10.1007/s40778-023-00229-0","url":null,"abstract":"<p><strong>Purpose of review: </strong>To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications.</p><p><strong>Recent findings: </strong>hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy.</p><p><strong>Summary: </strong>Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.</p>","PeriodicalId":37444,"journal":{"name":"Current Stem Cell Reports","volume":"9 4","pages":"57-66"},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10739444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139032647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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