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Precise in vivo functional analysis of DNA variants with base editing using ACEofBASEs target prediction.
Cornean, Alex; Gierten, Jakob; Welz, Bettina; Mateo, Juan Luis; Thumberger, Thomas; Wittbrodt, Joachim.
Afiliación
  • Cornean A; Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.
  • Gierten J; Heidelberg Biosciences International Graduate School (HBIGS), Heidelberg, Germany.
  • Welz B; Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.
  • Mateo JL; Department of Pediatric Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
  • Thumberger T; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany.
  • Wittbrodt J; Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.
Elife ; 112022 04 04.
Article en En | MEDLINE | ID: mdl-35373735
DNA contains sequences of four different molecules known as bases that represent our genetic code. In a mutation called a single nucleotide variant (or SNV for short), a single base in the sequence is swapped for another base. This can lead the individual carrying this SNV to produce a slightly different version of a protein to that found in other people. This slightly different protein may not work properly, or may perform a different task. In recent years, researchers have identified thousands of SNVs in humans linked with congenital heart diseases, but the roles of many of these SNVs remain unclear. Tools known as base editors allow researchers to efficiently modify single bases in DNA. Base editors use molecules known as short guide RNAs (or sgRNAs for short) to direct enzymes to specific positions in the DNA to swap, delete or insert a base. The sgRNAs need to be carefully designed to target the correct bases, however, which is a time consuming process. Furthermore, base editors were developed in cells grown in laboratories and so far only a few studies have demonstrated how they could be used in living animals. To overcome these limitations, Cornean, Gierten, Welz et al. developed a framework for base editing in two species of fish that are often used as models in research, namely medaka and zebrafish. The framework uses existing base editors that swap individual target bases and a new online tool ­ referred to as ACEofBASEs ­ to help design the required sgRNAs. The team were able to use the framework to characterize the medaka equivalents of four SNVs that have been previously associated with congenital heart disease in humans. The new framework developed here will help researchers to investigate the roles of SNVs in fish and other animals and validate human disease candidates. This approach could also be used to study the various ways that cells modify proteins by changing the specific bases involved in such modifications.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pez Cebra / Edición Génica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Elife Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pez Cebra / Edición Génica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Elife Año: 2022 Tipo del documento: Article País de afiliación: Alemania