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

Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson’s disease

15 Sept 2021

Abstract excerpt

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disease in the elderly population. However, there are no reliable diagnostic biomarkers for PD, and the pathogenesis of PD still needs further study. The aim of the current study was to identify potential biomarkers and explore the pathogenesis of PD. METHODS: We conducted an integrative analysis of messenger RNA (mRNA), microRNA (miRNA), and long...

Read the complete abstract on PubMed

Topics

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

Share to MicroRNA in disease regulation
Share to Nuclear Receptors and Signaling
Share to Parkinson's Disease Mechanisms and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34536521
DOI: 10.1016/j.brainresbull.2021.09.010

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson’s diseasePMID 34536521Read ↗

Novel diagnostic biomarkers related to immune infiltration in Parkinson’s disease by bioinformatics analysisSemantic proximity Read ↗

Differential gene expression and immune profiling in Parkinson’s disease: unveiling potential candidate biomarkersSemantic proximity Read ↗

Identification of potential immune-related hub genes in Parkinson’s disease based on machine learning and development and validation of a diagnostic classification modelSemantic proximity Read ↗

Identification of Significant Immune Related Genes and Pathways in Parkinson’s disease via Bioinformatics Analysis of Single-Cell RNA Sequencing DataSemantic proximity Read ↗

Integrative analysis of gene expression profiles of substantia nigra identifies potential diagnosis biomarkers in Parkinson's diseaseSemantic proximity Read ↗

Identification of Immune-Related Hub Genes in Parkinson’s DiseaseSemantic proximity Read ↗

Integrative Analysis of Gene Expression Profiles of Substantia Nigra Identifies Potential Diagnosis Biomarkers in Parkinson's diseaseSemantic proximity Read ↗

Identification of Molecular Mechanisms in Parkinson’s Disease Pathogenesis: Significance of Survival and Inflammation PathwaysSemantic proximity Read ↗

Identification of necroptosis-related genes in Parkinson’s disease by integrated bioinformatics analysis and experimental validationSemantic proximity Read ↗

Identification of Blood-based Biomarkers for Early Stage Parkinson’s DiseaseSemantic proximity Read ↗

Parkinson’s Disease Gene Biomarkers Screened by the LASSO and SVM AlgorithmsSemantic proximity Read ↗

miRNAs and target genes in the blood as biomarkers for the early diagnosis of Parkinson’s diseaseSemantic proximity Read ↗

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