Evidence map›Paper›PMID 19919692›Full record

ArticleBMC microbiology2009

Reverse genetics through random mutagenesis in Histoplasma capsulatum.

Brian H Youseff, Julie A Dougherty, Chad A Rappleye

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  5. Review
  6. The spectrum of fungi that infects humans.Cold Spring Harbor perspectives in medicine · 2014
    Review
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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 at 2 institutions in 1 country.

Brian H YouseffDepartments of Microbiology and Internal Medicine, The Center for Microbial Interface Biology, Ohio State University, Columbus, OH 43210, USA. youseff.1@osu.edu
Julie A Dougherty
Chad A Rappleye
The Ohio State University · USInterface (United States) · US

Funding

Virulence factor discovery in the secreted proteome of Histoplasma capsulatumR01AI083335 · NIAID · OHIO STATE UNIVERSITY · PI RAPPLEYE, CHAD A · 2009 to 2012
$1.3M
NIAID NIH HHS R01 AI083335
6 · The paper itself

Abstract

backgroundThe dimorphic fungal pathogen Histoplasma capsulatum causes respiratory and systemic disease in humans and other mammals. Progress in understanding the mechanisms underlying the biology and the pathogenesis of Histoplasma has been hindered by a shortage of methodologies for mutating a gene of interest.

resultsWe describe a reverse genetics process that combines the random mutagenesis of Agrobacterium-mediated transformation with screening techniques to identify targeted gene disruptions in a collection of insertion mutants. Isolation of the desired mutant is accomplished by arraying individual clones from a pool and employing a PCR-addressing method. Application of this procedure facilitated the isolation of a cbp1 mutant in a North American type 2 strain, a Histoplasma strain recalcitrant to gene knock-outs through homologous recombination. Optimization of cryopreservation conditions allows pools of mutants to be banked for later analysis and recovery of targeted mutants.

conclusionThis methodology improves our ability to isolate mutants in targeted genes, thereby facilitating the molecular genetic analysis of Histoplasma biology. The procedures described are widely applicable to many fungal systems and will be of particular interest to those for which homologous recombination techniques are inefficient or do not currently exist.

Indexed as

Genetic TechniquesHistoplasmaMutagenesis

Identifiers

PMID19919692
PMCPMC2781022
OpenAlexW2104140601

What OpenQuestion 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 OpenQuestion graph.