Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Linking tissues to phenotypes using gene expression profiles.

Database : the journal of biological databases and curation - 1 Jan 2014

Oellrich Anika, Smedley Damian

Abstract excerpt

Despite great biological and computational efforts to determine the genetic causes underlying human heritable diseases, approximately half (3500) of these diseases are still without an identified genetic cause. Model organism studies allow the targeted modification of the genome and can help with...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Gene Expression Profiling
Share to Gene Expression Regulation
Share to Gene Ontology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome

Share to Internet

Share to Organ Specificity

Share to User-Computer Interface

Source

Open in PubMed Open full text

Identifiers

PMID: 24634472
DOI: 10.1093/database/bau017
PMCID: PMC3982582

Genes

JAK2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24634472-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Linking tissues to phenotypes using gene expression profiles.PMID 24634472Read ↗

Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders.Semantic proximity Read ↗

An atlas of evidence-based phenotypic associations across the mouse phenome.Semantic proximity Read ↗

Evaluating diabetes and hypertension disease causality using mouse phenotypes.Semantic proximity Read ↗

New approaches to the representation and analysis of phenotype knowledge in human diseases and their animal models.Semantic proximity Read ↗

Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information.Semantic proximity Read ↗

Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell dataSemantic proximity Read ↗

Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data.Semantic proximity Read ↗

TSUMUGI: a platform for phenotype-driven gene network identification from comprehensive knockout mouse phenotyping dataSemantic proximity Read ↗

Disease and phenotype gene set analysis of disease-based gene expression in mouse and human.Semantic proximity Read ↗

A network-based analysis of the cellular and genetic etiology of diseaseSemantic proximity Read ↗

Expression genetics and the phenotype revolution.Semantic proximity Read ↗

An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.