Deep sequencing reads for stem-loop sequence MI0019306

Stem-loop ID

hsa-mir-5699

Reads

                                                            hsa-miR-5699                    Count     RPM (mean number of reads per million)
......CCCUGCCCCAACAAGGAAGGACA.............................................................  3         17.7
......CCCUGCCCCAACAAGGAAGGACAAG...........................................................  3         14.9
......CCCUGCCCCAACAAGGAAGGAC..............................................................  2         19.4
......CCCUGCCCCAACAAGGAAGGACAA............................................................  1         4.96
.........UGCCCCAACAAGGAAGGACAAGA..........................................................  6         0.253
.........UGCCCCAACAAGGAAGGACA.............................................................  2         0.0725
.........UGCCCCAACAAGGAAGGACAAG...........................................................  2         0.0725
.........UGCCCCAACAAGGAAGGAC..............................................................  1         3.95
...............AACAAGGAAGGACAAGAGGUGUG....................................................  3         0.0515
...............AACAAGGAAGGACAAGAGGUGUGA...................................................  2         0.0725
................ACAAGGAAGGACAAGAGGUGUGA...................................................  118       3.38
................ACAAGGAAGGACAAGAGGUGUGAG..................................................  88        2.85
................ACAAGGAAGGACAAGAGGUGUG....................................................  29        1
................ACAAGGAAGGACAAGAGGUGUGAGC.................................................  20        0.472
................ACAAGGAAGGACAAGAGGUGU.....................................................  4         0.216
..................AAGGAAGGACAAGAGGUGUGAG..................................................  16        0.434
..................AAGGAAGGACAAGAGGUGUGAGC.................................................  11        0.221
CUGUACCCCUGCCCCAACAAGGAAGGACAAGAGGUGUGAGCCACACACACGCCUGGCCUCCUGUCUUUCCUUGUUGGAGCAGGGAUGUAG
(((((.((((((.((((((((((((((((.(((((..(.((.........)))..))))).)))))))))))))))).)))))).))))) (-50.30)

Filter reads

by experiment

Accession	Read count	Tissue	Link	Comment	Reference
ER0000000103	138	melanoblast	GEO : GSM458535		[ Stark MS et al.]
ER0000000104	8	melanocyte	GEO : GSM458536		[ Stark MS et al.]
ER0000000105	18		GEO : GSM458537	cell line: primary giant congental nevus	[ Stark MS et al.]
ER0000000106	2	melanoma	GEO : GSM458538	cell line: secondary acral melanoma	[ Stark MS et al.]
ER0000000107	23	melanoma	GEO : GSM458539	cell line: secondary mucosal melanoma	[ Stark MS et al.]
ER0000000108	17	melanoma	GEO : GSM458540	cell line: secondary cutaneous melanoma	[ Stark MS et al.]
ER0000000109	11	melanoma	GEO : GSM458541	cell line: primary uveal melanoma	[ Stark MS et al.]
ER0000000110	43	melanoma	GEO : GSM458542	cell line: secondary cutaneous melanoma	[ Stark MS et al.]
ER0000000111	41	melanoma	GEO : GSM458543	cell line: secondary cutaneous melanoma	[ Stark MS et al.]
ER0000000112	22	melanoma	GEO : GSM458544	cell line: secondary cutaneous melanoma	[ Stark MS et al.]
ER0000000113	2	melanoma	GEO : GSM458545	cell line: secondary cutaneous melanoma from a chronically sun-damaged body site	[ Stark MS et al.]
ER0000000114	13	melanoma	GEO : GSM458546	cell line: secondary cutaneous melanoma	[ Stark MS et al.]
ER0000000147	1		GEO : GSM532883	normal cervix	[ Witten D et al.]
ER0000000157	2		GEO : GSM532893	normal cervix	[ Witten D et al.]
ER0000000161	6		GEO : GSM532897	normal cervix	[ Witten D et al.]
ER0000000165	4		GEO : GSM532901	normal cervix	[ Witten D et al.]
ER0000000171	1		GEO : GSM532907	normal cervix	[ Witten D et al.]
ER0000000177	1		GEO : GSM532913	normal cervix	[ Witten D et al.]
ER0000000181	1		GEO : GSM532917	normal cervix	[ Witten D et al.]
ER0000000184	1	squamous cell	GEO : GSM532920		[ Witten D et al.]
ER0000000263	1		GEO : GSM337571	antibody: anti-Ago2 11A9

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).