Evidence map›Paper›PMID 40822394›Full record

ArticleFrontiers in microbiology2025

Development and optimization of large-scale approaches to identify iron-related genes in

Clara Baldin, Ulrike Binder, Jakob Scheler, Ernst R Werner, Fabio Gsaller, Michael J Bromley, Hubertus Haas

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Clara BaldinInstitute of Molecular Biology, Medical University of Innsbruck, Innsbruck, Austria.
Ulrike BinderInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, Innsbruck, Austria.
Jakob SchelerInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, Innsbruck, Austria.
Ernst R WernerInstitute of Biological Chemistry, Medical University of Innsbruck, Innsbruck, Austria.
Fabio GsallerInstitute of Molecular Biology, Medical University of Innsbruck, Innsbruck, Austria.
Michael J BromleyManchester Fungal Infection Group, University of Manchester, Manchester, United Kingdom.
Hubertus HaasInstitute of Molecular Biology, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in genetic engineering have enabled the creation of extensive mutant libraries across various species, driving the need for efficient screening methods to identify mutants of interest. In this study, we developed and optimized two rapid and straightforward screening techniques to identify genes involved in iron metabolism. Iron is an essential element for almost all organisms, and in pathogens, the ability to acquire iron from the environment and mitigate the toxic effects of intracellular iron often plays a crucial role in virulence. The first screening method exploits the autofluorescence property of porphyrins, while the second one is an optimization of growth assay on solid-agar suitable for large scale analyses. To validate these methods, we applied them to a recently published protein kinase deletion mutant library in

Indexed as

fungal pathogenshigh iron toxicityHTSiron-related screeningsporphyrin fluorescence

Identifiers

PMID40822394
PMCPMC12350462

What Socratic holds

Textmetadata
LicenceCC BY
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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.