Evidence map›Paper›PMID 36712102›Full record

ArticlebioRxiv : the preprint server for biology2023

High Throughput Viability Assay for Microbiology.

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

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Christian T MeyerBioFrontiers and MCDB Department, University of Colorado Boulder, Boulder, CO, USA.
Grace K LynchBioFrontiers and MCDB Department, University of Colorado Boulder, Boulder, CO, USA.
Dana F StamoChemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
Eugene J MillerBioFrontiers and MCDB Department, University of Colorado Boulder, Boulder, CO, USA.
Anushree ChatterjeeChemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
Joel M KraljBioFrontiers and MCDB Department, University of Colorado Boulder, Boulder, CO, USA.
University of Colorado Boulder · US

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
NIA 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; however, it is time-intensive and resource-consuming. Herein, 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. GVA computes a sample's viable cell count based on the distribution of embedded colonies growing inside a pipette tip. GVA is compatible with gram-positive and -negative planktonic bacteria, biofilms, and yeast. Laborious CFU experiments such as checkerboard assays, treatment time-courses, and drug screens against slow-growing cells are simplified by GVA. We therefore screened a drug library against exponential and stationary phase

Identifiers

PMID36712102
PMCPMC9881960
OpenAlexW4313490319

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.