Bioinformatics Analysis of Estrogen-Responsive Genes.

Adam E Handel

Erratum issuedOpen access · hybridAbstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

Cooperation of Genomic and Rapid Nongenomic Actions of Estrogens in Synaptic Plasticity.Molecular neurobiology · 2017
Review

4 · The record

Corrections and comments

Erratum issued
Erratum to: Bioinformatics Analysis of Estrogen-Responsive Genes.2016

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Adam E HandelDepartment of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford, OX1 3QX, UK. adam.handel@gmail.com.

University of Oxford · GB

Funding

Wellcome Trust 100643

6 · The paper itself

Abstract

Estrogen is a steroid hormone that plays critical roles in a myriad of intracellular pathways. The expression of many genes is regulated through the steroid hormone receptors ESR1 and ESR2. These bind to DNA and modulate the expression of target genes. Identification of estrogen target genes is greatly facilitated by the use of transcriptomic methods, such as RNA-seq and expression microarrays, and chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq). Combining transcriptomic and ChIP-seq data enables a distinction to be drawn between direct and indirect estrogen target genes. This chapter discusses some methods of identifying estrogen target genes that do not require any expertise in programming languages or complex bioinformatics.

Indexed as

Computational BiologyGene Expression ProfilingAnimalsBinding SitesChromatin ImmunoprecipitationDatabases, GeneticEstrogen Receptor alphaEstrogensGene Expression RegulationHumansOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticSoftwareUser-Computer InterfaceWorkflowEstrogen Receptor alphaEstrogensBioinformaticsChIP-seqEstrogenGene target sTranscriptomics

Identifiers

PMID26585125

DOI10.1007/978-1-4939-3127-9_4

PMCPMC5065092

OpenAlexW2441195790

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.