Evidence map›Paper›PMID 37919425›Full record

ArticleNature microbiology2023

A high-throughput and low-waste viability assay for microbes.

Christian T Meyer, Grace K Lynch, Dana F Stamo, Eugene J Miller, Anushree Chatterjee, Joel M Kralj

Abstract read
In one paragraph

Article in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Design, synthesis, and biological evaluation of tyrcinnamine derivatives as bactericides.Journal of enzyme inhibition and medicinal chemistry · 2026
    Article
  2. Review
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  17. Drug combinations targeting antibiotic resistance.npj antimicrobials and resistance · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Christian T MeyerMolecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA. meyerct6@gmail.com.ORCID 0000-0002-8719-6522
Grace K LynchMolecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA.ORCID 0009-0009-5235-5456
Dana F StamoChemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
Eugene J MillerMolecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA.
Anushree ChatterjeeChemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA. chatterjee@colorado.edu.ORCID 0000-0002-8389-9917
Joel M KraljMolecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA. joel.kralj@colorado.edu.ORCID 0000-0001-9370-2324

Funding

University of Colorado Aging Training GrantT32AG000279 · NIA · UNIVERSITY OF COLORADO DENVER · PI Kerrie Moreau · 2001 to 2026
$10.1M
Neuronal electromics in health and diseaseDP2GM123458 · NIGMS · UNIVERSITY OF COLORADO · PI KRALJ, JOEL MARK · 2016 to 2016
$2.3M
The electrophysiology of biofilm development and drug resistanceK99AI175656 · NIAID · UNIVERSITY OF COLORADO · PI MEYER, CHRISTIAN T · 2023 to 2024
$277k
NIAID NIH HHS K99 AI175656NIA NIH HHS T32 AG000279NIGMS NIH HHS DP2 GM123458
6 · The paper itself

Abstract

Counting viable cells is a universal practice in microbiology. The colony-forming unit (CFU) assay has remained the gold standard to measure viability across disciplines, but it is time-intensive and resource-consuming. Here we describe the geometric viability assay (GVA) that replicates CFU measurements over 6 orders of magnitude while reducing over 10-fold the time and consumables required. GVA computes a sample's viable cell count on the basis of the distribution of embedded colonies growing inside a pipette tip. GVA is compatible with Gram-positive and Gram-negative planktonic bacteria (Escherichia coli, Pseudomonas aeruginosa and Bacillus subtilis), biofilms and fungi (Saccharomyces cerevisiae). Laborious CFU experiments such as checkerboard assays, treatment time-courses and drug screens against slow-growing cells are simplified by GVA. The ease and low cost of GVA evinces that it can replace existing viability assays and enable viability measurements at previously impractical scales.

Indexed as

BiofilmsEscherichia coliColony Count, MicrobialGram-Negative BacteriaPseudomonas aeruginosa

Identifiers

PMID37919425
PMCPMC10686820

What Socratic holds

Textmetadata
LicenceCC BY
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.