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Series GSE59330 Query DataSets for GSE59330
Status Public on Jan 31, 2015
Title An improved protocol for small RNA library construction by using High-Definition adapters
Organism Medicago truncatula
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary Most of small RNA library construction methods are based on RNA ligases, which prefer to join the molecules (small RNAs and adapters) that can anneal to each other and form a ligase favoured structure. Different platforms for next generation sequencing use different adapter sequences, causing the cloning bias. Adapters with degenerated nucleotides at the ligating ends (High Definition, HD adapters) were developed to reduce the cloning bias. However, above 90% of the cloning products is adapter dimer when the current available commercial kits and their corresponding protocols are used. Here we adopted and further improved a method demonstrated in a publically available patent (http://www.google.com/patents/WO2011056866A2?cl=en). Using the improved method, we constructed the small RNA libraries by using the total RNA of Medicago truncatula leaf tissue. The adapter dimer was significantly reduced. The small RNA sequences were also analysed.
 
Overall design The small RNA libraries of medicago truncatula leaves were constructed by using an improved protocol where high-definition (HD) adapters were used.
 
Contributor(s) Xu P, Billmeier M, Mohorianu I, Green D, Fraser WD, Dalmay T
Citation https://doi.org/10.1515/mngs-2015-0001
Submission date Jul 11, 2014
Last update date May 15, 2019
Contact name Irina Mohorianu
E-mail(s) [email protected]
Organization name University of Oxford
Department Medical Sciences Division
Lab Oxford Vaccine Group
Street address Headington
City Oxford
ZIP/Postal code OX3 7LE
Country United Kingdom
 
Platforms (1)
GPL17491 Illumina HiSeq 2000 (Medicago truncatula)
Samples (2)
GSM1435111 mtr1
GSM1435112 mtr2
Relations
BioProject PRJNA255087
SRA SRP044263

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE59330_fa_mtr_formated.csv.gz 52.9 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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