Evidence map›Paper›PMID 24097437›Full record

ArticleNucleic acids research2014

A highly sensitive in vivo footprinting technique for condition-dependent identification of cis elements.

Rita Gorsche, Birgit Jovanovic, Loreta Gudynaite-Savitch, Robert L Mach, Astrid R Mach-Aigner

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Rita GorscheResearch Division Biotechnology and Microbiology, Institute of Chemical Engineering, Vienna University of Technology, Gumpendorfer Str. 1 a, A-1060 Vienna, Austria and Department of Biology, University of Ottawa, Gendron Hall, 30 Marie Curie, Ottawa, ON, K1N6N5, Canada.
Birgit Jovanovic
Loreta Gudynaite-Savitch
Robert L Mach
Astrid R Mach-Aigner
University of Ottawa · CATU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowing which regions of a gene are targeted by transcription factors during induction or repression is essential for understanding the mechanisms responsible for regulation. Therefore, we re-designed the traditional in vivo footprinting method to obtain a highly sensitive technique, which allows identification of the cis elements involved in condition-dependent gene regulation. Data obtained through DMS methylation, HCl DNA cleavage and optimized ligation-mediated PCR using fluorescent labelling followed by capillary gel electrophoresis are analysed by ivFAST. In this work we have developed this command line-based program, which is designed to ensure automated and fast data processing and visualization. The new method facilitates a quantitative, high-throughput approach because it enables the comparison of any number of in vivo footprinting results from different conditions (e.g. inducing, repressing, de-repressing) to one another by employing an internal standard. For validation of the method the well-studied upstream regulatory region of the Trichoderma reesei xyn1 (endoxylanase 1) gene was used. Applying the new method we could identify the motives involved in condition-dependent regulation of the cbh2 (cellobiohydrolase 2) and xyn2 (endoxylanase 2) genes.

Indexed as

Regulatory Elements, TranscriptionalCellulose 1,4-beta-CellobiosidaseDNA CleavageDNA FootprintingDNA MethylationEndo-1,4-beta XylanasesPolymerase Chain ReactionSoftwareTrichodermaCellulose 1,4-beta-CellobiosidaseEndo-1,4-beta Xylanases

Identifiers

PMID24097437
PMCPMC3874196
OpenAlexW2070512634

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.