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Höllerer, Simon ; Desczyk, Charlotte ; Muro, Ricardo Farrera ; Jeschek, Markus

From sequence to function and back – High-throughput sequence-function mapping in synthetic biology

Article

Höllerer, Simon, Desczyk, Charlotte, Muro, Ricardo Farrera and Jeschek, Markus (2023) From sequence to function and back – High-throughput sequence-function mapping in synthetic biology. Current Opinion in Systems Biology 37, p. 100499.

DOI to cite this document: 10.5283/epub.55514


Abstract

How does genetic sequence give rise to biological function? Answering this question is key to our understanding of life and the construction of synthetic biosystems that fight disease, resource scarcity and climate change. Unfortunately, the virtually infinite number of possible sequences and limitations in their functional characterization limit our current understanding of sequence-function ...

How does genetic sequence give rise to biological function? Answering this question is key to our understanding of life and the construction of synthetic biosystems that fight disease, resource scarcity and climate change. Unfortunately, the virtually infinite number of possible sequences and limitations in their functional characterization limit our current understanding of sequence-function relationships. To overcome this dilemma, several high-throughput methods to experimentally link sequences to corresponding functional properties have been developed recently. While all of these share the goal to collect sequence-function data at large scale, they differ significantly in their technical approach, functional readout and application scope. Herein, we highlight recent developments in the aspiring field of high-throughput sequence-function mapping providing a critical assessment of their potential in synthetic biology.



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Details

Item typeArticle
Journal or Publication TitleCurrent Opinion in Systems Biology
PublisherElsevier
Open Access TypeHybrid Open Acces
Volume37
Page Rangep. 100499
Date13 December 2023
Date of publication02 Feb 2024 13:50
InstitutionsBiology, Preclinical Medicine > Institut für Biochemie, Genetik und Mikrobiologie > Lehrstuhl für Mikrobiologie (Archaeenzentrum)
Identification Number
ValueType
10.1016/j.coisb.2023.100499DOI
KeywordsSequence-function mapping, Sequence-activity landscapes, Nextgeneration sequencing, DNA recording, DNA recorder, RNA-Seq, Flow- Seq, Sort-Seq, Recombinases, Integrases, Machine learning in biology, Data-driven modelling, Synthetic biology..
Dewey Decimal Classification500 Science > 570 Life sciences
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-555143
Item ID55514

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