Deep sequencing reads for stem-loop sequence MI0000102

Stem-loop ID hsa-mir-100
Reads 
            hsa-miR-100-5p                     hsa-miR-100-3p                      Count     RPM (mean number of reads per million)
...........AAACCCGUAGAUCCGAACUUGU...............................................  7         19.5
...........AAACCCGUAGAUCCGAACUUGUG..............................................  3         5.95
............AACCCGUAGAUCCGAACUUGUG..............................................  9652      120
............AACCCGUAGAUCCGAACUUGU...............................................  1624      20.9
............AACCCGUAGAUCCGAAC...................................................  426       5.22
............AACCCGUAGAUCCGAACUUG................................................  154       1.98
............AACCCGUAGAUCCGAACUUGUGG.............................................  89        1.15
............AACCCGUAGAUCCGAACUU.................................................  18        0.17
............AACCCGUAGAUCCGAACU..................................................  13        15
............AACCCGUAGAUCCGAACUUGUGGU............................................  10        0.119
............AACCCGUAGAUCCGAACUUGUGGUAU..........................................  10        0.104
............AACCCGUAGAUCCGAACUUGUGGUA...........................................  3         0.0392
.............ACCCGUAGAUCCGAACUUGUG..............................................  12        0.146
.............ACCCGUAGAUCCGAACUUGUGG.............................................  9         0.0772
..............CCCGUAGAUCCGAACUUGUG..............................................  3         10.7
..............CCCGUAGAUCCGAACUUGU...............................................  2         27.6
................CGUAGAUCCGAACUUGUG..............................................  1         14.9
...............................................CAAGCUUGUAUCUAUAGGUAU............  6         0.0605
CCUGUUGCCACAAACCCGUAGAUCCGAACUUGUGGUAUUAGUCCGCACAAGCUUGUAUCUAUAGGUAUGUGUCUGUUAGG
((((..(.((((.(((..(((((.(((.(((((((........).)))))).))).)))))..))).)))).)...)))) (-26.80)

Filter reads

by experiment
Accession Read count Tissue Link Comment Reference
ER0000000002 3embryonic stem cell GEO : GSM541797 [ Bar M et al.]
ER0000000103 1195melanoblast GEO : GSM458535 [ Stark MS et al.]
ER0000000104 242melanocyte GEO : GSM458536 [ Stark MS et al.]
ER0000000105 8484 GEO : GSM458537 cell line: primary giant congental nevus [ Stark MS et al.]
ER0000000106 135melanoma GEO : GSM458538 cell line: secondary acral melanoma [ Stark MS et al.]
ER0000000107 203melanoma GEO : GSM458539 cell line: secondary mucosal melanoma [ Stark MS et al.]
ER0000000108 3269melanoma GEO : GSM458540 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000109 191melanoma GEO : GSM458541 cell line: primary uveal melanoma [ Stark MS et al.]
ER0000000110 1973melanoma GEO : GSM458542 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000111 683melanoma GEO : GSM458543 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000112 499melanoma GEO : GSM458544 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000113 1758melanoma GEO : GSM458545 cell line: secondary cutaneous melanoma from a chronically sun-damaged body site [ Stark MS et al.]
ER0000000114 63melanoma GEO : GSM458546 cell line: secondary cutaneous melanoma [ Stark MS et al.]
ER0000000135 2 GEO : GSM532871 normal cervix [ Witten D et al.]
ER0000000137 13 GEO : GSM532873 normal cervix [ Witten D et al.]
ER0000000139 35 GEO : GSM532875 normal cervix [ Witten D et al.]
ER0000000141 1 GEO : GSM532877 normal cervix [ Witten D et al.]
ER0000000143 2 GEO : GSM532879 normal cervix [ Witten D et al.]
ER0000000147 6 GEO : GSM532883 normal cervix [ Witten D et al.]
ER0000000149 23 GEO : GSM532885 normal cervix [ Witten D et al.]
ER0000000155 352 GEO : GSM532891 normal cervix [ Witten D et al.]
ER0000000157 13 GEO : GSM532893 normal cervix [ Witten D et al.]
ER0000000159 1048 GEO : GSM532895 normal cervix [ Witten D et al.]
ER0000000161 61 GEO : GSM532897 normal cervix [ Witten D et al.]
ER0000000163 216 GEO : GSM532899 normal cervix [ Witten D et al.]
ER0000000165 49 GEO : GSM532901 normal cervix [ Witten D et al.]
ER0000000167 263 GEO : GSM532903 normal cervix [ Witten D et al.]
ER0000000169 3 GEO : GSM532905 normal cervix [ Witten D et al.]
ER0000000171 17 GEO : GSM532907 normal cervix [ Witten D et al.]
ER0000000173 365 GEO : GSM532909 normal cervix [ Witten D et al.]
ER0000000177 228 GEO : GSM532913 normal cervix [ Witten D et al.]
ER0000000179 83 GEO : GSM532915 normal cervix [ Witten D et al.]
ER0000000181 8 GEO : GSM532917 normal cervix [ Witten D et al.]
ER0000000183 3whole body GEO : GSM532919 normal cervix [ Witten D et al.]
ER0000000185 486 GEO : GSM532921 normal cervix [ Witten D et al.]
ER0000000187 107 GEO : GSM532923 normal cervix [ Witten D et al.]
ER0000000193 3 GEO : GSM532929 normal cervix [ Witten D et al.]
ER0000000194 2squamous cell GEO : GSM532930 [ Witten D et al.]
ER0000000263 2 GEO : GSM337571 antibody: anti-Ago2 11A9
ER0000000264 12 GEO : GSM368181 tissue: undifferentiated NPC [ Zhu JY et al.]
ER0000000265 1 GEO : GSM368182 tissue: clinically negative of NPC [ Zhu JY et al.]
ER0000000266 1 GEO : GSM368183 tissue: undifferentiated NPC [ Zhu JY 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:19144710 "Identification of novel Epstein-Barr virus microRNA genes from nasopharyngeal carcinomas" Zhu JY, Pfuhl T, Motsch N, Barth S, Nicholls J, Grasser F, Meister G J Virol. 83:3333-3341(2009).
3
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).
4
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).