Genome editing of human pancreatic beta cell models: problems, possibilities and outlook

dc.contributor.authorBalboa, Diego
dc.contributor.authorPrasad, Rashmi B.
dc.contributor.authorGroop, Leif
dc.contributor.authorOtonkoski, Timo
dc.date.accessioned2019-10-29T11:00:03Z
dc.date.available2019-10-29T11:00:03Z
dc.date.issued2019
dc.description.abstractUnderstanding the molecular mechanisms behind beta cell dysfunction is essential for the development of effective and specific approaches for diabetes care and prevention. Physiological human beta cell models are needed for this work. We review the possibilities and limitations of currently available human beta cell models and how they can be dramatically enhanced using genome-editing technologies. In addition to the gold standard, primary isolated islets, other models now include immortalised human beta cell lines and pluripotent stem cell-derived islet-like cells. The scarcity of human primary islet samples limits their use, but valuable gene expression and functional data from large collections of human islets have been made available to the scientific community. The possibilities for studying beta cell physiology using immortalised human beta cell lines and stem cell-derived islets are rapidly evolving. However, the functional immaturity of these cells is still a significant limitation. CRISPR-Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9) has enabled precise engineering of specific genetic variants, targeted transcriptional modulation and genome-wide genetic screening. These approaches can now be exploited to gain understanding of the mechanisms behind coding and non-coding diabetes-associated genetic variants, allowing more precise evaluation of their contribution to diabetes pathogenesis. Despite all the progress, genome editing in primary pancreatic islets remains difficult to achieve, an important limitation requiring further technological development.
dc.description.sponsorshipThe authors’ work in this area has been supported by grants from the Academy of Finland, The Novo Nordisk Foundation and the Sigrid Jusélius Foundation. TO is also funded by the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement no. 115797 (INNODIA), which receives support from the European Union’s Horizon 2020 research and innovation programme and the European Federation of Pharmaceutical Industries and Associations (EFPIA), JDRF and the Leona M. and Harry B. Helmsley Charitable Trust.
dc.format.mimetypeapplication/pdf
dc.identifier.citationBalboa D, Prasad RB, Groop L, Otonkoski T. Genome editing of human pancreatic beta cell models: problems, possibilities and outlook. Diabetologia. 2019; 62(8):1329-1336. DOI 10.1007/s00125-019-4908-z
dc.identifier.doihttp://dx.doi.org/10.1007/s00125-019-4908-z
dc.identifier.issn0012-186X
dc.identifier.urihttp://hdl.handle.net/10230/42546
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofDiabetologia. 2019; 62(8):1329-1336
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/115797
dc.rights© The Author(s) 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordBeta cells
dc.subject.keywordCRISPR-Cas9
dc.subject.keywordCell models
dc.subject.keywordDiabetes
dc.subject.keywordGenome editing
dc.subject.keywordHuman islets
dc.subject.keywordPancreas
dc.subject.keywordReview
dc.subject.keywordStem cells
dc.titleGenome editing of human pancreatic beta cell models: problems, possibilities and outlook
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Balboa_dia_geno.pdf
Size:
756.79 KB
Format:
Adobe Portable Document Format

License

Rights