Evidence map›Paper›PMID 17355989›Full record

ArticleNucleic acids research2007

Bioinformatic prediction and experimental verification of Fur-regulated genes in the extreme acidophile Acidithiobacillus ferrooxidans.

Raquel Quatrini, Claudia Lefimil, Felipe A Veloso, Inti Pedroso, David S Holmes, Eugenia Jedlicki

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Transcriptomic Response of the Diazotrophic BacteriaInternational journal of molecular sciences · 2022
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  10. Effect of COFrontiers in microbiology · 2019
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  14. Predicted trans-acting siRNAs in the human brain.International journal of molecular sciences · 2015
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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

6 authors at 3 institutions in 1 country.

Raquel QuatriniCenter for Bioinformatics and Genome Biology, MIFAB, Life Science Foundation and Andrés Bello University, Santiago, Chile. rquatrini@yahoo.com.ar
Claudia Lefimil
Felipe A Veloso
Inti Pedroso
David S Holmes
Eugenia Jedlicki
Universidad Andrés Bello · CLFraunhofer Chile Research Foundation · CLUniversity of Chile · CL

Funding

Wellcome Trust
6 · The paper itself

Abstract

The gamma-proteobacterium Acidithiobacillus ferrooxidans lives in extremely acidic conditions (pH 2) and, unlike most organisms, is confronted with an abundant supply of soluble iron. It is also unusual in that it oxidizes iron as an energy source. Consequently, it faces the challenging dual problems of (i) maintaining intracellular iron homeostasis when confronted with extremely high environmental loads of iron and (ii) of regulating the use of iron both as an energy source and as a metabolic micronutrient. A combined bioinformatic and experimental approach was undertaken to identify Fur regulatory sites in the genome of A. ferrooxidans and to gain insight into the constitution of its Fur regulon. Fur regulatory targets associated with a variety of cellular functions including metal trafficking (e.g. feoPABC, tdr, tonBexbBD, copB, cdf), utilization (e.g. fdx, nif), transcriptional regulation (e.g. phoB, irr, iscR) and redox balance (grx, trx, gst) were identified. Selected predicted Fur regulatory sites were confirmed by FURTA, EMSA and in vitro transcription analyses. This study provides the first model for a Fur-binding site consensus sequence in an acidophilic iron-oxidizing microorganism and lays the foundation for future studies aimed at deepening our understanding of the regulatory networks that control iron uptake, homeostasis and oxidation in extreme acidophiles.

Indexed as

Gene Expression Regulation, BacterialRegulatory Elements, TranscriptionalAcidithiobacillusBacterial ProteinsBase SequenceBinding SitesComputational BiologyConsensus SequenceGenomicsIronPromoter Regions, GeneticRegulonRepressor ProteinsTranscription, GeneticBacterial Proteinsferric uptake regulating proteins, bacterialIronRepressor Proteins

Identifiers

PMID17355989
PMCPMC1874648
OpenAlexW2137970254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.