Evidence map›Paper›PMID 40950160›Full record

ArticlebioRxiv : the preprint server for biology2025

Label-free microscopy enables high-throughput identification of genes controlling biofilm development.

M R Pratyush, Jojo A Prentice, Rory A Eutsey, Irina Mikheyeva, N Luisa Hiller, Andrew A Bridges

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

M R PratyushDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.ORCID 0009-0002-8914-8206
Jojo A PrenticeDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.ORCID 0000-0003-1452-4799
Rory A EutseyDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.
Irina MikheyevaDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.ORCID 0000-0001-7584-9947
N Luisa HillerDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.ORCID 0000-0001-6572-1368
Andrew A BridgesDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15206.ORCID 0000-0002-8132-751X

Funding

Mechanisms of Bacterial Lysis SensingR35GM160020 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI Andrew A. Bridges · 2025 to 2026
$835k
This way out: Spatiotemporal regulation of Vibrio cholerae biofilm dispersalR00AI158939 · NIAID · CARNEGIE-MELLON UNIVERSITY · PI BRIDGES, ANDREW A. · 2023 to 2024
$498k
Nucleic Acids and Pneumococcal Extracellular Vesicles: the Who, How and Why?R21AI182784 · NIAID · CARNEGIE-MELLON UNIVERSITY · PI HILLER, NATALIA LUISA · 2024 to 2025
$431k
NIAID NIH HHS R00 AI158939NIAID NIH HHS R21 AI182784NIGMS NIH HHS R35 GM160020
6 · The paper itself

Abstract

The biofilm mode of growth plays a critical role in microbial ecology and in the persistence of human pathogens. Yet, much remains unknown regarding the molecular determinants of biofilms in human pathogens. In this study, we present label-free analysis of biofilms (LFAB), an imaging approach that combines time-lapse, low-magnification brightfield microscopy with regional optical density measurements to quantify biofilm biomass. Unlike other approaches to biofilm biomass quantification, LFAB enables real-time, non-perturbative, and high-throughput monitoring of biofilms. We validated LFAB in diverse microbes and found that our measurements strongly correlate with traditional biofilm assays. We then used LFAB to identify and characterize critical factors mediating biofilm formation in

Identifiers

PMID40950160
PMCPMC12424827

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.