arrow
Return

Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing

delete2022-01-21
delete15
delete
OA
AI
M
Matthew J. Tarnowski
T
Thomas E. Gorochowski *
DOI:10.1038/s41467-022-28074-5delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Transcriptional terminators signal where transcribing RNA polymerases (RNAPs) should halt and disassociate from DNA. However, because termination is stochastic, two different forms of transcript could be produced: one ending at the terminator and the other reading through. An ability to control the abundance of these transcript isoforms would offer bioengineers a mechanism to regulate multi-gene constructs at the level of transcription. Here, we explore this possibility by repurposing terminators as 'transcriptional valves' that can tune the proportion of RNAP read-through. Using one-pot combinatorial DNA assembly, we iteratively construct 1780 transcriptional valves for T7 RNAP and show how nanopore-based direct RNA sequencing (dRNA-seq) can be used to characterize entire libraries of valves simultaneously at a nucleotide resolution in vitro and unravel genetic design principles to tune and insulate termination. Finally, we engineer valves for multiplexed regulation of CRISPR guide RNAs. This work provides new avenues for controlling transcription and demonstrates the benefits of long-read sequencing for exploring complex sequence-function landscapes. Transcriptional terminators are generally viewed as hard endpoints for transcribing RNA polymerases. Here, the authors reimagine terminators as transcriptional valves with predictable read through. They engineer and characterize 1780 valves and use them for multiplexed gene regulation.
Keywords:
TERMINATION SIGNAL
EXPRESSION
DESIGN
POLYMERASE
PROTEIN
RIBOSOME
EFFICIENCY
ALIGNMENT
SYSTEMS
PARTS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Communications cover
Nature Communications
IF:
15.7
Papers:
9.3W
Citations:
91.2W

Organization

U
University of Bristol
Scholars:
3.1W
Papers: 3.0W
Citations: 5.3W