A computer-guided design tool to increase the efficiency of cellular conversions

Sascha Jung; Evan Appleton; Muhammad Ali; George M. Church; Antonio del Sol

doi:10.1038/s41467-021-21801-4

Nature Communications (Mar 2021)

A computer-guided design tool to increase the efficiency of cellular conversions

Sascha Jung,
Evan Appleton,
Muhammad Ali,
George M. Church,
Antonio del Sol

Affiliations

Sascha Jung: Computational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park
Evan Appleton: Wyss Institute for Biologically Inspired Engineering at Harvard University
Muhammad Ali: Computational Biology Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg
George M. Church: Wyss Institute for Biologically Inspired Engineering at Harvard University
Antonio del Sol: Computational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park

DOI: https://doi.org/10.1038/s41467-021-21801-4
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 12

Abstract

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Transcription factor over-expression-based cellular conversion methods often endure low conversion efficiency. Here the authors show how to increase conversion efficiency by combining a computational method for prioritizing more efficient TF combinations with a transposon-based genomic integration system for delivery.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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