Article

Comprehensive Multi-cohort Transcriptional Meta-analysis of Muscle Diseases Identifies a Signature of Disease Severity

2022-01-11

Abstract excerpt

Muscle diseases share common pathological features suggesting common underlying mechanisms. We hypothesized there is a common set of genes dysregulated across muscle diseases compared to healthy muscle and that these genes correlate with severity of muscle disease. We performed meta-analysis of transcriptional profiles of muscle biopsies from human muscle diseases and healthy controls. Studies obtained from public...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6a8fd6c9-65dc-5ac3-874e-142738561101
DOI: 10.21203/rs.3.rs-1073002/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comprehensive Multi-cohort Transcriptional Meta-analysis of Muscle Diseases Identifies a Signature of Disease SeverityDOI 10.21203/rs.3.rs-1073002/v1Read

A machine learning-based clinical tool for diagnosing myopathy using multi-cohort microarray expression profilesSemantic proximity Read

Revealing myopathy spectrum: integrating transcriptional and clinical features of human skeletal muscles with varying health conditionsSemantic proximity Read

Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissuesSemantic proximity Read

Muscle Tissue Transcriptome of Idiopathic Inflammatory Myopathy Reflects the Muscle Damage Process by Monocytes and Presence of Skin LesionsSemantic proximity Read

Meta-Analysis of Polymyositis and Dermatomyositis Microarray Data Reveals Novel Genetic Biomarkers.Semantic proximity Read

Muscle transcriptome profiling reveals novel molecular pathways and biomarkers in laminin-α2 deficient patients.Semantic proximity Read

Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositisSemantic proximity Read

Transcriptomic analysis of paired healthy human skeletal muscles to identify modulators of disease severity in DMDSemantic proximity Read

Assessing Facioscapulohumeral Muscular Dystrophy through Comparative Analysis of Bulk and Single-Cell TranscriptomesSemantic proximity Read

Comparative transcriptome analysis of muscular dystrophy models Large(myd), Dmd(mdx)/Large(myd) and Dmd(mdx): what makes them different?Semantic proximity Read

Molecular profiles of inflammatory myopathiesSemantic proximity Read

A network-based atlas of human skeletal muscle agingSemantic proximity Read