Entry Detail



General Information

Database ID:exR0753856
RNA Name:AC078883.1
RNA Type:lncRNA
Chromosome:chr2
Starnd:-
Coordinate:
Start Site(bp):172480840End Site(bp):172556596
External Links:ENSG00000225205



Disease Information

Disease Name:Glioblastoma Multiforme
Disease Category:Cancers
MeSH ID:D005909
Type:Neoplasms/Neoplasms, Glandular and Epithelial
Alias:Glioblastoma//Glioblastomas//Astrocytoma, Grade IV//Astrocytomas, Grade IV//Grade IV Astrocytoma//Grade IV Astrocytomas//Glioblastoma Multiforme//Giant Cell Glioblastoma//Giant Cell Glioblastomas//Glioblastoma, Giant Cell//Glioblastomas, Giant Cell



Expression Detail

GEO ID:GSE106804
Description:Engineered Nanointerfaces for Microfluidic Isolation and Molecular Profiling of Tumor-specific Extracellular Vesicles
Experimental Design:Cancer vs Control
Case Disease Type:Glioblastoma Multiforme
Case Disease SubType:NA
Case Sample:Glioblastoma Multiforme
Control Sample:Healthy
Number of Case:13
Number of Control:6
Number of Samples:19





Regulatory Relationship

mRNA targets:
Gene SymbolChromosomeStart Site(bp)End Site(bp)Strand
CAPRIN1
chr11
34051731
34102610
+
HMGCR
chr5
75336329
75362101
+
HSP90AA1
chr14
102080738
102139699
-
ITGA6
chr2
172427354
172506459
+
MAVS
chr20
3846799
3876123
+
MFSD5
chr12
53251251
53254405
+
miRNA targets:NA
circRNA targets:NA
lncRNA targets:NA
Display:



Experiment Detail

GEO ID:NA
Sample Source:NA
Source Fraction:NA
Platform:NA
Method:NA
Num of detected RNA Type:NA
Num of detected RNAs of this Type:NA
Sample treatment protocol:NA
RNA Extract protocol:NA
RNA library preparation protocol:NA



Reference

PMID:29330365
Title:Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles.
Author:Re¨¢tegui E, van der Vos KE, Lai CP, Zeinali M, Atai NA, Aldikacti B, Floyd FP Jr, H Khankhel A, Thapar V, Hochberg FH, Sequist LV, Nahed BV, S Carter B, Toner M, Balaj L, T Ting D, Breakefield XO, Stott SL.
Journal:Nat Commun. 2018 Jan 12;9(1):175.
Description:Tumor-derived EVs have the potential to be utilized as disease-specific biomarkers, and genes specific to GBM as well as transcripts that are hallmarks for the four genetic subtypes of the disease.