Evidence map›Paper›PMID 41260031›Full record

ReviewCurrent opinion in biotechnology2025

Whole-cell and cell-free biosensor-driven metabolic engineering.

Jiho Seok, Mark P Styczynski

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Strategies for Metabolic Engineering ofMolecules (Basel, Switzerland) · 2026
    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

2 authors.

Jiho SeokSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0100, United States.
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0100, United States. Electronic address: mark.styczynski@chbe.gatech.edu.

Funding

Synthetic biological systems for protein detectionR01EB034301 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI Mark Philip-Walter Styczynski · 2023 to 2026
$1.4M
NIBIB NIH HHS R01 EB034301
6 · The paper itself

Abstract

Metabolic engineering employs microbial cell factories to produce high-value products from low-cost feedstocks. Designing, optimizing, and evaluating biosynthetic pathways in microbial cell factories is essential, yet these processes remain time- and labor-intensive. Biosensors help metabolic engineers address this challenge by converting target metabolite concentrations into observable outputs, enabling efficient assessment of microbial production. Whole-cell biosensors, which operate within living microorganisms, and cell-free biosensors, which function independently of cell growth using transcription-translation machinery, have contributed to microbial biosynthesis optimization through distinct approaches. This review summarizes recent advances in biosensor-driven metabolic engineering facilitated by whole-cell and cell-free biosensors.

Indexed as

Biosensing TechniquesMetabolic EngineeringCell-Free System

Identifiers

PMID41260031
PMCPMC13285212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.