Evidence map›Paper›PMID 38606981›Full record

ArticleApplied and environmental microbiology2024

Design of a tunable bacterial gene expression system using engineered σ factors.

Twinkal Patel, Amit Dinda, Sankar Mahesh, Savitha Nadig, Nishank Reddy, Balasubramanian Gopal

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Twinkal PatelMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Amit DindaMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Sankar MaheshMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Savitha NadigMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Nishank ReddyMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Balasubramanian GopalMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.ORCID 0000-0001-9097-5052
Indian Institute of Science Bangalore · IN

Funding

Department of Science and Technology, Ministry of Science and Technology, India (DST) J C Bose Fellowship, IFC/MELANGE/2024
6 · The paper itself

Abstract

Extracytoplasmic function (ECF) σ factors selectively upregulate expression of specific genes in bacteria. These σ factors, belonging to the σ IMPORTANCE: The synthesis of organic compounds involves the action of multiple enzymes in a biosynthetic pathway. Incorporating such biosynthetic pathways into microbes often leads to substantial cellular and metabolic stress resulting in low titers of the target compound. This limitation can be offset, in part, by optimizing enzyme efficiency and cellular enzyme concentration. The former involves significant efforts to achieve improvements in catalytic efficiency with the caveat that the metabolic load on a microbial cell imposed by the overexpression of the exogenous enzyme could result in reduced cell fitness. Here, we demonstrate the feasibility of engineered σ factors to modulate gene expression levels without significant genetic engineering. We note that changing the sequence of two flexible polypeptide loops without any changes to the structural scaffold of the transcription initiation factor σ

Indexed as

Bacterial ProteinsEscherichia coliGene Expression Regulation, BacterialSigma FactorMycobacterium tuberculosisPromoter Regions, GeneticProtein EngineeringBacterial ProteinsSigma FactorECF σ factorspromoter specificitytranscription initiation

Identifiers

PMID38606981
PMCPMC11107172
OpenAlexW4394762848

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.