Deep sequencing reads for mature sequence MIMAT0018178

Stem-loop ID hsa-mir-3180-4
Mature ID hsa-miR-3180
Reads 
                                   hsa-miR-3180                                                                                                           Count     RPM (mean number of reads per million)
.................................CGUGGGGCGGAGCUUCCGGA....................................................................................................  2         0.0916
..................................GUGGGGCGGAGCUUCCGGAGG..................................................................................................  3         0.137
..................................GUGGGGCGGAGCUUCCGGAGGC.................................................................................................  2         0.0916
...................................UGGGGCGGAGCUUCCGGAGGCC................................................................................................  466       23.8
...................................UGGGGCGGAGCUUCCGGAG...................................................................................................  223       11.5
...................................UGGGGCGGAGCUUCCGGAGG..................................................................................................  182       8.96
...................................UGGGGCGGAGCUUCCGGAGGC.................................................................................................  145       7.53
...................................UGGGGCGGAGCUUCCGGA....................................................................................................  44        2.12
...................................UGGGGCGGAGCUUCCGG.....................................................................................................  6         0.275
...................................UGGGGCGGAGCUUCCGGAGGCCC...............................................................................................  4         0.183
....................................GGGGCGGAGCUUCCGGAGGC.................................................................................................  2         0.0916
GCUCCGCCCCACGUCGCAUGCGCCCCGGGAACGCGUGGGGCGGAGCUUCCGGAGGCCCCGCUCUGCUGCCGACCCUGUGGAGCGGAGGGUGAAGCCUCCGGAUGCCAGUCCCUCAUCGCUGGCCUGGUCGCGCUGUGGCGAAGGGGGCGGAGC
((((((((((.(((((((.((((.(((((...(((.(((((.(.((.((((((((((((.(((((((.(((......)))))))))))).)..))))))))).))).)))))....)))...)))))..)))))))))))...)))))))))) (-102.20)
Stem-loop ID hsa-mir-3180-5
Mature ID hsa-miR-3180
Reads 
                                   hsa-miR-3180                                                                                                           Count     RPM (mean number of reads per million)
.................................CGUGGGGCGGAGCUUCCGGA....................................................................................................  2         0.0916
..................................GUGGGGCGGAGCUUCCGGAGG..................................................................................................  3         0.137
..................................GUGGGGCGGAGCUUCCGGAGGC.................................................................................................  2         0.0916
...................................UGGGGCGGAGCUUCCGGAGGCC................................................................................................  466       23.8
...................................UGGGGCGGAGCUUCCGGAG...................................................................................................  223       11.5
...................................UGGGGCGGAGCUUCCGGAGG..................................................................................................  182       8.96
...................................UGGGGCGGAGCUUCCGGAGGC.................................................................................................  145       7.53
...................................UGGGGCGGAGCUUCCGGA....................................................................................................  44        2.12
...................................UGGGGCGGAGCUUCCGG.....................................................................................................  6         0.275
...................................UGGGGCGGAGCUUCCGGAGGCCC...............................................................................................  4         0.183
....................................GGGGCGGAGCUUCCGGAGGC.................................................................................................  2         0.0916
GCUCCGCCCCACGUCGCAUGCGCCCCGGGAACGCGUGGGGCGGAGCUUCCGGAGGCCCCGCCCUGCUGCCGACCCUGUGGAGCGGAGGGUGAAGCCUCCGGAUGCCAGUCCCUCAUCGCUGGCCCGGUCGCGCUGUGGCGAAGGGGGCGGAGC
((((((((((.(((((((.((((.(((((...(((.(((((.(.((.(((((((((..((((((.(((((.((...)).).))))))))))..))))))))).))).)))))....)))...)))))..)))))))))))...)))))))))) (-107.30)

Filter reads

by experiment
Accession Read count Tissue Link Comment Reference
ER0000000001 6embryonic stem cell GEO : GSM541796 [ Bar M et al.]
ER0000000103 2melanoblast GEO : GSM458535 [ Stark MS et al.]
ER0000000105 2 GEO : GSM458537 cell line: primary giant congental nevus [ Stark MS et al.]
ER0000000107 10melanoma GEO : GSM458539 cell line: secondary mucosal melanoma [ Stark MS et al.]
ER0000000108 2178melanoma GEO : GSM458540 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000110 282melanoma GEO : GSM458542 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000113 89melanoma GEO : GSM458545 cell line: secondary cutaneous melanoma from a chronically sun-damaged body site [ Stark MS et al.]
ER0000000114 165melanoma GEO : GSM458546 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000156 2squamous cell GEO : GSM532892 [ Witten D et al.]
ER0000000157 2 GEO : GSM532893 normal cervix [ Witten D et al.]
ER0000000180 1squamous cell GEO : GSM532916 [ Witten D et al.]
ER0000000188 1squamous cell GEO : GSM532924 [ Witten D et al.]
by # mismatches     Display untemplated ends
by read count min max

References

1
PMID:18583537 "MicroRNA discovery and profiling in human embryonic stem cells by deep sequencing of small RNA libraries" Bar M, Wyman SK, Fritz BR, Qi J, Garg KS, Parkin RK, Kroh EM, Bendoraite A, Mitchell PS, Nelson AM, Ruzzo WL, Ware C, Radich JP, Gentleman R, Ruohola-Baker H, Tewari M Stem Cells. 26:2496-2505(2008).
2
PMID:20300190 "Characterization of the Melanoma miRNAome by Deep Sequencing" Stark MS, Tyagi S, Nancarrow DJ, Boyle GM, Cook AL, Whiteman DC, Parsons PG, Schmidt C, Sturm RA, Hayward NK PLoS One. 5:e9685(2010).
3
PMID:20459774 "Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls" Witten D, Tibshirani R, Gu SG, Fire A, Lui WO BMC Biol. 8:58(2010).