Evidence map›Paper›PMID 39010990›Full record

ReviewIndian journal of microbiology2024

Engineering Whole-Cell Biosensors for Enhanced Detection of Environmental Antibiotics Using a Synthetic Biology Approach.

Arunagiri Priyadharshini, Irisappan Ganesh, Kumar Rangarajalu, Melissa Shaelyn Samuel, Sambandam Ravikumar

Abstract readReview
In one paragraph

Review in Indian journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Arunagiri Priyadharshini *Department of Biochemistry, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (Deemed to be University), Kirumampakkam, Puducherry 607403 India.
Irisappan Ganesh *Department of Medical Biotechnology, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (Deemed to be University), Kirumampakkam, Puducherry 607403 India.
Kumar RangarajaluDepartment of Biochemistry, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (Deemed to be University), Kirumampakkam, Puducherry 607403 India.
Melissa Shaelyn SamuelSaveetha Medical College and Hospital, Thandalam, Chennai, Tamil Nadu 602105 India.
Sambandam RavikumarDepartment of Medical Biotechnology, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (Deemed to be University), Kirumampakkam, Puducherry 607403 India.ORCID 0000-0001-7351-0421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial Two component systems have evolved with many intricate sensory apparatuses for external stimuli like light, temperature, oxygen, pH and chemical compounds. Recent studies have shown the potential of two-component regulatory systems (TCSs) of bacteria in creating synthetic regulatory circuits for several applications. Antimicrobial resistance is increasing globally in both developing and developed countries and it is one of the foremost global threats to public health. The resistance level to a broad spectrum of antibiotics is rising every year by 5-10%. In this context, TCSs controlling microbial physiology at the transcriptional level could be an appropriate candidate for monitoring the antibiotics present in the environment. This review provided a wide opportunity to gain knowledge about the TCSs available in diverse species to sense the antibiotics. Further, this review explored the EMeRALD (Engineered Modularized Receptors Activated via Ligand-induced Dimerization) based biosensors to repurpose the sensing modules from the microbial TCSs using the synthetic biology approach.

Indexed as

AntibioticsAnti-microbial resistance (AMR)BiosensorsHealthcare applicationsSynthetic biologyTwo-component systems (TCSs)

Identifiers

PMID39010990
PMCPMC11246489

What Socratic 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 Socratic graph.