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Trends in Genetics
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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Optogenetics for transcriptional programming and genetic engineering

Authors: Tien-Hung Lan; Lian He; Yun Huang; Yubin Zhou;

Optogenetics for transcriptional programming and genetic engineering

Abstract

Optogenetics combines genetics and biophotonics to enable noninvasive control of biological processes with high spatiotemporal precision. When engineered into protein machineries that govern the cellular information flow as depicted in the central dogma, multiple genetically encoded non-opsin photosensory modules have been harnessed to modulate gene transcription, DNA or RNA modifications, DNA recombination, and genome engineering by utilizing photons emitting in the wide range of 200-1000 nm. We present herein generally applicable modular strategies for optogenetic engineering and highlight latest advances in the broad applications of opsin-free optogenetics to program transcriptional outputs and precisely manipulate the mammalian genome, epigenome, and epitranscriptome. We also discuss current challenges and future trends in opsin-free optogenetics, which has been rapidly evolving to meet the growing needs in synthetic biology and genetics research.

Keywords

Optogenetics, Mammals, Genome, Animals, DNA, CRISPR-Cas Systems, Genetic Engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 1%
Top 10%
Top 1%
hybrid