Evidence map›Paper›PMID 36514196›Full record

ArticleBiotechnology progress2023

A low-cost, high-throughput microfluidic nano-culture platform for functional metagenomics.

Manpreet Kaur, Aura Ferreiro, Cheng-Yu Hung, Gautam Dantas, Anand K Ramasubramanian

Open access · greenAbstract read
In one paragraph

Article in Biotechnology progress, 2023. 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
0.1field-weighted citation impact, top 62% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Manpreet KaurDepartment of Chemical and Materials Engineering, San José State University, San José, California, USA.
Aura FerreiroThe Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Cheng-Yu HungDepartment of Chemical and Materials Engineering, San José State University, San José, California, USA.
Gautam DantasThe Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Anand K RamasubramanianDepartment of Chemical and Materials Engineering, San José State University, San José, California, USA.ORCID 0000-0002-7057-8663
San Jose State University · USWashington University in St. Louis · US

Funding

Novel Antivirulence Peptides from Functional Metagenomics using Nano-Culture MicroarraysR15AI138146 · NIAID · SAN JOSE STATE UNIVERSITY · PI RAMASUBRAMANIAN, ANAND K · 2018 to 2018
$420k
NIAID NIH HHS R15 AI138146
6 · The paper itself

Abstract

Functional metagenomics is an attractive culture-independent approach for functional screening of diverse microbiomes to identify known and novel genes. Since functional screening can involve sifting through tens of thousands of metagenomic library clones, an easy high-throughput screening approach is desirable. Here, we demonstrate a proof-of-concept application of a low-cost, high-throughput droplet based microfluidic assay to the selection of antibiotic resistance genes from a soil metagenomic library. Metagenomic library members encapsulated in nanoliter volume water-in-oil droplets were printed on glass slides robotically, and cell growth in individual drops in the presence of ampicillin was imaged and quantified to identify ampicillin-resistant clones. From the hits, true positives were confirmed by sequencing and functional validation. The ease of liquid handling, ease of set-up, low cost, and robust workflow makes the droplet-based nano-culture platform a promising candidate for screening and selection assays for functional metagenomic libraries.

Indexed as

AmpicillinMicrofluidicsHigh-Throughput Screening AssaysMetagenomicsAmpicillinantibiotic resistancedropletmetagenomic libraryscreening

Identifiers

PMID36514196
PMCPMC10106374
OpenAlexW4311325566

What OpenQuestion holds

Textmetadata
LicenceTDM
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.