Evidence map›Paper›PMID 26184393›Full record

ArticleNature communications2015

A portable expression resource for engineering cross-species genetic circuits and pathways.

Manish Kushwaha, Howard M Salis

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 160 citations in OpenAlex.

  1. Metabolic engineering ofSynthetic and systems biotechnology · 2026
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  20. Toward predictable universal genetic circuit design.Quantitative biology (Beijing, China) · 2024
    Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Manish KushwahaDepartment of Biological Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, USA.ORCID 0000000288503272
Howard M Salis1] Department of Biological Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, USA [2] Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic circuits and metabolic pathways can be reengineered to allow organisms to process signals and manufacture useful chemicals. However, their functions currently rely on organism-specific regulatory parts, fragmenting synthetic biology and metabolic engineering into host-specific domains. To unify efforts, here we have engineered a cross-species expression resource that enables circuits and pathways to reuse the same genetic parts, while functioning similarly across diverse organisms. Our engineered system combines mixed feedback control loops and cross-species translation signals to autonomously self-regulate expression of an orthogonal polymerase without host-specific promoters, achieving nontoxic and tuneable gene expression in diverse Gram-positive and Gram-negative bacteria. Combining 50 characterized system variants with mechanistic modelling, we show how the cross-species expression resource's dynamics, capacity and toxicity are controlled by the control loops' architecture and feedback strengths. We also demonstrate one application of the resource by reusing the same genetic parts to express a biosynthesis pathway in both model and non-model hosts.

Indexed as

Gene Expression Regulation, BacterialBacillus subtilisEscherichia coliGene Regulatory NetworksGenetic EngineeringMetabolic EngineeringMetabolic Networks and PathwaysPromoter Regions, GeneticPseudomonas putidaSynthetic Biology

Identifiers

PMID26184393
PMCPMC4518296
OpenAlexW954748402

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.