scholarly journals Selection-Free Non-Viral Method Revealed Highly Efficient Crispr-Cas9 Genome Editing of Human Pluripotent Stem Cells Guided by Cellular Autophagy

2021 ◽  
Author(s):  
Michelle Surma ◽  
Kavitha Anbarasu ◽  
Arupratan Das
2018 ◽  
Vol 48 (1) ◽  
pp. e64 ◽  
Author(s):  
Jean Ann Maguire ◽  
Fabian L. Cardenas-Diaz ◽  
Paul Gadue ◽  
Deborah L. French

2019 ◽  
Vol 24 (5) ◽  
pp. 821-828.e5 ◽  
Author(s):  
Renata M. Martin ◽  
Kazuya Ikeda ◽  
M. Kyle Cromer ◽  
Nobuko Uchida ◽  
Toshinobu Nishimura ◽  
...  

2018 ◽  
Vol 46 (19) ◽  
pp. 10195-10215 ◽  
Author(s):  
Xiao-Lan Li ◽  
Guo-Hua Li ◽  
Juan Fu ◽  
Ya-Wen Fu ◽  
Lu Zhang ◽  
...  

2021 ◽  
Author(s):  
Michelle Surma ◽  
Kavitha Anbarasu ◽  
Arupratan Das

CRISPR-Cas9 mediated genome editing of human pluripotent stem cells (hPSCs) provides strong avenues for human disease modeling, drug discovery and cell replacement therapy. Genome editing of hPSCs is an extremely inefficient process and requires complex gene delivery and selection methods to improve edit efficiency which are not ideal for clinical applications. Here, we have shown a selection free simple lipofectamine based transfection method where a single plasmid encoding guide RNA (gRNA) and Cas9 selectively transfected hPSCs at the colony edges. Upon dissection and sequencing, the edge cells showed more than 30% edit frequency compared to the reported 3% rate under no selections. Increased cellular health of the edge cells as revealed by reduced autophagy gene-expressions is critical for such transfection pattern. Edge specific transfection was inhibited by blocking lysosomal activity which is essential for autophagy. Hence, our method provides robust scarless genome-editing of hPSCs which is ideal for translational research.


2014 ◽  
Vol 15 (2) ◽  
pp. 215-226 ◽  
Author(s):  
Federico González ◽  
Zengrong Zhu ◽  
Zhong-Dong Shi ◽  
Katherine Lelli ◽  
Nipun Verma ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Matthew N. George ◽  
Karla F. Leavens ◽  
Paul Gadue

A mechanistic understanding of the genetic basis of complex diseases such as diabetes mellitus remain elusive due in large part to the activity of genetic disease modifiers that impact the penetrance and/or presentation of disease phenotypes. In the face of such complexity, rare forms of diabetes that result from single-gene mutations (monogenic diabetes) can be used to model the contribution of individual genetic factors to pancreatic β-cell dysfunction and the breakdown of glucose homeostasis. Here we review the contribution of protein coding and non-protein coding genetic disease modifiers to the pathogenesis of diabetes subtypes, as well as how recent technological advances in the generation, differentiation, and genome editing of human pluripotent stem cells (hPSC) enable the development of cell-based disease models. Finally, we describe a disease modifier discovery platform that utilizes these technologies to identify novel genetic modifiers using induced pluripotent stem cells (iPSC) derived from patients with monogenic diabetes caused by heterozygous mutations.


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