Evidence map›Paper›PMID 35064117›Full record

ArticleNature communications2022

Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing.

Matthew J Tarnowski, Thomas E Gorochowski

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Tunable gene expression in zebrafish using RiboSCALE.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
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  14. Nanoporous Amorphous Carbon Monolayer Derived from Fullerene Film.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Article
  16. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Development of ONT-cappable-seq to unravel the transcriptional landscape ofComputational and structural biotechnology journal · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Matthew J TarnowskiSchool of Biological Sciences, University of Bristol, Tyndall Avenue, Bristol, BS8 1TQ, UK.ORCID 0000-0002-1640-2181
Thomas E GorochowskiSchool of Biological Sciences, University of Bristol, Tyndall Avenue, Bristol, BS8 1TQ, UK. thomas.gorochowski@bristol.ac.uk.ORCID 0000-0003-1702-786X

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

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.

Indexed as

Genetic EngineeringHigh-Throughput Nucleotide SequencingSequence Analysis, RNABase PairingBase SequenceCRISPR-Cas SystemsGene LibraryInsulator ElementsNanopore SequencingProtein IsoformsRNA, Guide, CRISPR-Cas SystemsRNA, MessengerTerminator Regions, GeneticTranscription Termination, GeneticProtein IsoformsRNA, Guide, CRISPR-Cas SystemsRNA, Messenger

Identifiers

PMID35064117
PMCPMC8783025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.