Evidence map›Paper›PMID 41509910›Full record

ReviewiScience2026

Droplet microfluidics strategies for overcoming bottlenecks in antibiotics discovery.

Hassan Barakat, Makenzie Bolton, Jingjing Cheng, Xiangpeng Li

Abstract readReview
In one paragraph

Review in iScience, 2026. 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

4 authors.

Hassan BarakatDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306, USA.
Makenzie BoltonDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306, USA.
Jingjing ChengDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306, USA.
Xiangpeng LiDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) presents a mounting global health crisis. Traditional antibiotic discovery methods are hindered by low throughput, frequent rediscovery of known compounds, and limited access to unculturable microbes and silent biosynthetic gene clusters (BGCs). Droplet microfluidics offers a transformative platform to overcome these barriers by enabling massively parallel, compartmentalized analysis at the single-cell level. In this perspective, we discuss how droplet microfluidics is reshaping the antibiotic discovery landscape by addressing long-standing limitations in cultivation, screening, and compound identification. We highlight recent advances in: (1) accessing microbial dark matter through high-throughput single-cell technologies, (2) activating cryptic BGCs and dissecting microbial interactions using microfluidic coculture platforms, (3) accelerating chemical dereplication and discovery of novel metabolites through integration with mass spectrometry-based tools, and (4) uncovering resistance and persistence mechanisms by linking antibiotic resistance genes to individual microbial hosts and single cell transcriptomes. Together, these innovations position droplet microfluidics as a powerful engine to accelerate antibiotic discovery and combat the global threat of AMR.

Indexed as

DrugsEcologyMicrobiology

Identifiers

PMID41509910
PMCPMC12775860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.