Evidence map›Paper›PMID 35801861›Full record

ArticleNucleic acids research2022

Activating natural product synthesis using CRISPR interference and activation systems in Streptomyces.

Andrea Ameruoso, Maria Claudia Villegas Kcam, Katherine Piper Cohen, James Chappell

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

43 citing papers in PubMed, 64 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Andrea AmeruosoDepartment of BioSciences, Rice University, 6100 Main Street, MS 140, Houston, TX 77005, USA.
Maria Claudia Villegas KcamDepartment of BioSciences, Rice University, 6100 Main Street, MS 140, Houston, TX 77005, USA.ORCID 0000-0001-6062-9423
Katherine Piper CohenDepartment of BioSciences, Rice University, 6100 Main Street, MS 140, Houston, TX 77005, USA.
James ChappellDepartment of BioSciences, Rice University, 6100 Main Street, MS 140, Houston, TX 77005, USA.ORCID 0000-0001-7367-1524
Rice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of antibiotic-resistant bacteria represents a major threat to global health, creating an urgent need to discover new antibiotics. Natural products derived from the genus Streptomyces represent a rich and diverse repertoire of chemical molecules from which new antibiotics are likely to be found. However, a major challenge is that the biosynthetic gene clusters (BGCs) responsible for natural product synthesis are often poorly expressed under laboratory culturing conditions, thus preventing the isolation and screening of novel chemicals. To address this, we describe a novel approach to activate silent BGCs through rewiring endogenous regulation using synthetic gene regulators based upon CRISPR-Cas. First, we refine CRISPR interference (CRISPRi) and create CRISPR activation (CRISPRa) systems that allow for highly programmable and effective gene repression and activation in Streptomyces. We then harness these tools to activate a silent BGC by perturbing its endogenous regulatory network. Together, this work advances the synthetic regulatory toolbox for Streptomyces and facilitates the programmable activation of silent BGCs for novel chemical discovery.

Indexed as

Biological ProductsStreptomycesAnti-Bacterial AgentsCRISPR-Cas SystemsMultigene FamilyAnti-Bacterial AgentsBiological Products

Identifiers

PMID35801861
PMCPMC9303295
OpenAlexW4284973466

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.