Deep sequencing reads for mature sequence MIMAT0025478

Stem-loop ID hsa-mir-6511a-1
Mature ID hsa-miR-6511a-5p
Reads 
  hsa-miR-6511a-5p                      hsa-miR-6511a-3p             Count     RPM (mean number of reads per million)
..UGCAGGCAGAAGUGGGGCUGACAGG........................................  6         0.328
..........................................CCCUCACCAUCCCUUCUGCCUGCAG  2         22.4
..........................................CCCUCACCAUCCCUUCUGCCUGCA.  2         142
..........................................CCCUCACCAUCCCUUCUGCCUGC..  1         131
CCUGCAGGCAGAAGUGGGGCUGACAGGGCAGAGGGUUGCGCCCCCUCACCAUCCCUUCUGCCUGCAG
.(((((((((((((.(((..(((..((((..........))))..)))...)))))))))))))))) (-38.00)
Stem-loop ID hsa-mir-6511a-2
Mature ID hsa-miR-6511a-5p
Reads 
  hsa-miR-6511a-5p                      hsa-miR-6511a-3p             Count     RPM (mean number of reads per million)
CCUGCAGGCAGAAGUGGGGCUGACAG.........................................  2         0.11
.CUGCAGGCAGAAGUGGGGCUGA............................................  16        1.09
..UGCAGGCAGAAGUGGGGCUGACAG.........................................  7         0.469
........................................CCCCCUCACCAUCCCUUCUGCCU....  1         27.4
........................................CCCCCUCACCAUCCCUUCUGCCUG...  1         13.4
.........................................CCCCUCACCAUCCCUUCUGCCUGC..  2         40.8
CCUGCAGGCAGAAGUGGGGCUGACAGGGCAGAGGGUUGCGCCCCCUCACCAUCCCUUCUGCCUGCAG
.(((((((((((((.(((..(((..((((..........))))..)))...)))))))))))))))) (-38.00)
Stem-loop ID hsa-mir-6511a-3
Mature ID hsa-miR-6511a-5p
Reads 
  hsa-miR-6511a-5p                      hsa-miR-6511a-3p             Count     RPM (mean number of reads per million)
....CAGGCAGAAGUGGGGCUGACAG.........................................  5         0.282
........................................CCCCCUCACCAUCCCUUCUGCCUGCA.  2         34.7
.........................................CCCCUCACCAUCCCUUCUGCCUGCA.  1         33
CCUGCAGGCAGAAGUGGGGCUGACAGGGCAGAGGGUUGCGCCCCCUCACCAUCCCUUCUGCCUGCAG
.(((((((((((((.(((..(((..((((..........))))..)))...)))))))))))))))) (-38.00)
Stem-loop ID hsa-mir-6511a-4
Mature ID hsa-miR-6511a-5p
Reads 
  hsa-miR-6511a-5p                      hsa-miR-6511a-3p             Count     RPM (mean number of reads per million)
.CUGCAGGCAGAAGUGGGGCUGACAGG........................................  10        0.489
.CUGCAGGCAGAAGUGGGGCUGACA..........................................  8         0.469
..UGCAGGCAGAAGUGGGGCUGACA..........................................  7         0.445
....CAGGCAGAAGUGGGGCUGACAGG........................................  2         0.123
........................................CCCCCUCACCAUCCCUUCUGCCUGC..  3         60.9
CCUGCAGGCAGAAGUGGGGCUGACAGGGCAGAGGGUUGCGCCCCCUCACCAUCCCUUCUGCCUGCAG
.(((((((((((((.(((..(((..((((..........))))..)))...)))))))))))))))) (-38.00)

Filter reads

by experiment
Accession Read count Tissue Link Comment Reference
ER0000000103 melanoblast GEO : GSM458535 [ Stark MS et al.]
ER0000000105 GEO : GSM458537 cell line: primary giant congental nevus [ Stark MS et al.]
ER0000000107 melanoma GEO : GSM458539 cell line: secondary mucosal melanoma [ Stark MS et al.]
ER0000000108 3melanoma GEO : GSM458540 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000110 7melanoma GEO : GSM458542 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000111 melanoma GEO : GSM458543 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000113 melanoma GEO : GSM458545 cell line: secondary cutaneous melanoma from a chronically sun-damaged body site [ Stark MS et al.]
ER0000000114 2melanoma GEO : GSM458546 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000135 GEO : GSM532871 normal cervix [ Witten D et al.]
ER0000000140 1squamous cell GEO : GSM532876 [ Witten D et al.]
ER0000000150 1squamous cell GEO : GSM532886 [ Witten D et al.]
ER0000000156 2squamous cell GEO : GSM532892 [ Witten D et al.]
ER0000000161 1 GEO : GSM532897 normal cervix [ Witten D et al.]
ER0000000165 3 GEO : GSM532901 normal cervix [ Witten D et al.]
ER0000000168 1adenosquamous cell GEO : GSM532904 [ Witten D et al.]
ER0000000171 GEO : GSM532907 normal cervix [ Witten D et al.]
ER0000000174 1squamous cell GEO : GSM532910 [ Witten D et al.]
ER0000000175 2 GEO : GSM532911 normal cervix [ Witten D et al.]
ER0000000181 GEO : GSM532917 normal cervix [ Witten D et al.]
ER0000000183 1whole body GEO : GSM532919 normal cervix [ Witten D et al.]
ER0000000186 squamous cell GEO : GSM532922 [ Witten D et al.]
by # mismatches     Display untemplated ends
by read count min max

References

1
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).
2
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).