Evidence map›Paper›PMID 38562844›Full record

ArticlebioRxiv : the preprint server for biology2024

A low-footprint, fluorescence-based bacterial time-kill assay for estimating dose-dependent cell death dynamics.

Eshan S King, Anna E Stacy, Jacob G Scott

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

No citing paper in PubMed yet.

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

3 authors.

Eshan S KingCase Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.ORCID 0000-0002-0345-3780
Anna E StacyDepartment of Physics, Case Western Reserve University, Cleveland, Ohio, United States of America.
Jacob G ScottCase Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.ORCID 0000-0003-2971-7673

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
Exploiting Ecology and Evolution to Prevent Therapy Resistance in EGFR-Driven Lung CancerR37CA244613 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Jacob Gardinier Scott · 2020 to 2026
$4.0M
NCI NIH HHS R37 CA244613NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

Dose-response curves that describe the relationship between antibiotic dose and growth rate in bacteria are commonly measured with optical density (OD) based assays. While being simple and high-throughput, any dose-dependent cell death dynamics are obscured, as OD assays in batch culture can only quantify a positive net change in cells. Time-kill experiments can be used to quantify cell death rates, but current techniques are extremely resource-intensive and may be biased by residual drug carried over into the quantification assay. Here, we report a novel, fluorescence-based time-kill assay leveraging resazurin as a viable cell count indicator. Our method improves upon previous techniques by greatly reducing the material cost and being robust to residual drug carry-over. We demonstrate our technique by quantifying a dose-response curve in

Identifiers

PMID38562844
PMCPMC10983867

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.