Identification and regulation pattern analysis of long noncoding RNAs in meibomian gland carcinoma.
Biomarkers, Tumor
Carcinoma
/ diagnosis
Computational Biology
/ methods
Eyelid Neoplasms
/ diagnosis
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Ontology
Gene Regulatory Networks
High-Throughput Nucleotide Sequencing
Humans
Meibomian Glands
/ metabolism
MicroRNAs
/ genetics
Molecular Sequence Annotation
Prognosis
RNA Interference
RNA, Long Noncoding
/ genetics
RNA, Messenger
/ genetics
Transcriptome
IL6
PTGS2
ceRNA
long noncoding RNA
meibomian gland carcinoma
sebaceous gland carcinoma
Journal
Epigenomics
ISSN: 1750-192X
Titre abrégé: Epigenomics
Pays: England
ID NLM: 101519720
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
pubmed:
12
12
2018
medline:
23
5
2020
entrez:
12
12
2018
Statut:
ppublish
Résumé
To identify long noncoding RNAs (lncRNAs) and to elucidate regulation patterns of lncRNAs in meibomian gland carcinoma (MGC). We used RNA-Seq, gene ontology, ClueGO, Ingenuity Pathway Analysis and co-expression network analyses to profile the expression and regulation patterns of lncRNAs and mRNAs in MGC. We identified 500 lncRNAs and 326 mRNAs as differentially expressed. Co-expression regulatory networks with lncRNAs and mRNAs were constructed. The differentially expressed mRNAs and lncRNAs were enriched by fundamental biological functions that are implicated in the inflammatory signaling pathway and tumor proliferation (IL6 and PTGS2). LncRNAs might play important roles via the competing endogenous RNA regulation pattern in MGC tumorigenesis and contribute to the molecular pathogenesis of MGC.
Identifiants
pubmed: 30526034
doi: 10.2217/epi-2018-0182
doi:
Substances chimiques
Biomarkers, Tumor
0
MicroRNAs
0
RNA, Long Noncoding
0
RNA, Messenger
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM