Evidence map›Paper›PMID 42729265›Full record

ArticleSynthetic biology (Oxford, England)2026

A liquid handling platform for standardized quantification of cell-free enzymatic activity encoded by antimicrobial resistance genes.

Molly Bergum, Sahana Suthakaran, Bethany Martin, J Mark Sutton, Simon J Moore

Abstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2026. 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
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.

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

5 authors.

Molly BergumDepartment of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.
Sahana SuthakaranDepartment of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.
Bethany MartinAntimicrobial Discovery, Development and Diagnostics (AD3), Countermeasures Development, Evaluation and Preparedness Division, UK Health Security Agency, Porton Down, Salisbury SP4 0JG, United Kingdom.
J Mark SuttonAntimicrobial Discovery, Development and Diagnostics (AD3), Countermeasures Development, Evaluation and Preparedness Division, UK Health Security Agency, Porton Down, Salisbury SP4 0JG, United Kingdom.ORCID https://orcid.org/0000-0002-2288-0446
Simon J MooreDepartment of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-1968-206X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a growing global threat to human health, and rapid methods for characterizing emerging antimicrobial resistance genes (ARGs) are needed. Here, we develop a semi-automated workflow using cell-free gene expression systems to measure the activity of two ARGs encoded on plasmid DNA that produce rifampicin-inactivating and gentamicin-inactivating enzymes. We validated the use of a small benchtop Myra liquid handling system compared to manual pipetting, with no statistical differences observed. After optimizing the pre-incubation time of ARGs and dispensing protocol, expression of

Indexed as

aminoglycoside resistanceantimicrobial resistanceautomationcell-free gene expressionliquid handlingrifampicin resistance

Identifiers

PMID42729265
PMCPMC13561876

What OpenQuestion holds

Textmetadata
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.