Entry Detail



General Information

Database ID:exR0766358
RNA Name:DNM3OS
RNA Type:lncRNA
Chromosome:chr1
Starnd:-
Coordinate:
Start Site(bp):172138397End Site(bp):172144840
External Links:ENSG00000230630



Disease Information

Disease Name:Lung Cancer
Disease Category:Cancers
MeSH ID:D008175
Type:Neoplasms/Respiratory Tract Neoplasms
Alias:Lung Neoplasms//Pulmonary Neoplasms//Neoplasms, Lung//Lung Neoplasm//Neoplasm, Lung//Neoplasms, Pulmonary//Neoplasm, Pulmonary//Pulmonary Neoplasm//Lung Cancer//Cancer, Lung//Cancers, Lung//Lung Cancers//Pulmonary Cancer//Cancer, Pulmonary//Cancers, Pulmonary//Pulmonary Cancers//Cancer of the Lung//Cancer of Lung



Expression Detail

GEO ID:GSE69732
Description:Circulating RNAs profile in non-small cell lung cancer patients
Experimental Design:Cancer vs Control
Case Disease Type:Lung Cancer
Case Disease SubType:Non-Small Cell Lung Cancer
Case Sample:Non-Small Cell Lung Cancer
Control Sample:Healthy
Number of Case:3
Number of Control:3
Number of Samples:6





Regulatory Relationship

mRNA targets:NA
miRNA targets:
miRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
hsa-miR-134-5p
chr14
101054694
101054715
+
hsa-miR-370-3p
chr14
100911186
100911207
+
hsa-miR-552-3p
chr1
34669614
34669634
-
hsa-miR-214-5p
chr1
172138857
172138878
-
hsa-miR-3118
chr15
21843793
21843815
+
hsa-miR-642b-3p
chr19
45674941
45674962
-
hsa-miR-642a-3p
chr19
45674978
45674999
+
hsa-miR-506-5p
chrX
147230788
147230809
-
hsa-miR-6512-3p
chr2
177313811
177313832
-
hsa-miR-6720-5p
chr6
1390359
1390381
-
hsa-miR-6893-3p
chr8
144435551
144435572
-
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:26417025
Title:Circulating Messenger RNA Profiling with Microarray and Next-generation Sequencing: Cross-platform Comparison.
Author:Shih CL, Luo JD, Chang JW, Chen TL, Chien YT, Yu CJ, Chiou CC.
Journal:Cancer Genomics Proteomics. 2015 Sep-Oct;12(5):223-30.
Description:Genes with higher expression levels have cross-platform concordance and can be potential biomarkers.