Evidence map›Paper›PMID 37807718›Full record

ArticleBiotechnology and bioengineering2024

Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains.

Yiming Huang, Anil Wipat, Jaume Bacardit

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Engineering bacterial theranostics: from logic gates toFrontiers in bioengineering and biotechnology · 2024
    Review
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

3 authors at 1 institution in 1 country.

Yiming HuangInterdisciplinary Computing and Complex BioSystems Group, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-5967-557X
Anil WipatInterdisciplinary Computing and Complex BioSystems Group, Newcastle University, Newcastle upon Tyne, UK.
Jaume BacarditInterdisciplinary Computing and Complex BioSystems Group, Newcastle University, Newcastle upon Tyne, UK.
Newcastle University · GB

Funding

Engineering and Physical Sciences Research Council
6 · The paper itself

Abstract

Foreign proteins are produced by introducing synthetic constructs into host bacteria for biotechnology applications. This process can cause resource competition between synthetic circuits and host cells, placing a metabolic burden on the host cells which may result in load stress and detrimental physiological changes. Consequently, the host bacteria can experience slow growth, and the synthetic system may suffer from suboptimal function. To help in the detection of bacterial load stress, we developed machine-learning strategies to select a minimal number of genes that could serve as biomarkers for the design of load stress reporters. We identified pairs of biomarkers that showed discriminative capacity to detect the load stress states induced in 41 engineered Escherichia coli strains.

Indexed as

BiotechnologyEscherichia coliBacteriabiomarker discoverymachine learningmetabolic loadsystem and synthetic biologytranscriptomics

Identifiers

PMID37807718
PMCPMC10953381
OpenAlexW4387440861

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.