Evidence map›Paper›PMID 31572841›Full record

ArticleACS omega2019

Development of a Robust and Quantitative High-Throughput Screening Method for Antibiotic Production in Bacterial Libraries.

Elizabeth M Murray, Catherine F Allen, Tess E Handy, Clair A Huffine, Whitney R Craig, Sarah C Seaton, Amanda L Wolfe

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Optimal liquid culture media forWorld journal of gastroenterology · 2025
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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

7 authors at 2 institutions in 1 country.

Elizabeth M MurrayDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
Catherine F AllenDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
Tess E HandyDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
Clair A HuffineDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
Whitney R CraigDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
Sarah C SeatonIndigo Ag, 500 Rutherford Avenue, Boston, Massachusetts 02129, United States.
Amanda L WolfeDepartment of Biology and Department of Chemistry, University of North Carolina Asheville, One University Heights, Asheville, North Carolina 28804, United States.
University of North Carolina at Asheville · USIndigo Information Services (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 30 years, there has been a dramatic rise in the number of infections caused by multidrug-resistant bacteria, which have proliferated due to the misuse and overuse of antibiotics. Over this same time period, however, there has also been a decline in the number of antibiotics with novel mechanisms of action coming to market. Therefore, there is a growing need for an increase in the speed at which new antibiotics are discovered and developed. Natural products produced by bacteria have been and continue to be a robust source of novel antibiotics; however, new and complementary methods for screening large bacterial libraries for novel antibiotic production are needed due to the current agar methods being limited in scope, time consuming, and prone to error. Herein, we describe a rapid, robust, and quantitative high-throughput liquid culture screening method for antibiotic production by bacteria. This method has the ability to screen both mono- and coculture mixtures of bacteria

Identifiers

PMID31572841
PMCPMC6761686
OpenAlexW2972320213

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.