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SRX5316200: GSM3586386: CT6; Homo sapiens; miRNA-Seq
1 ILLUMINA (Illumina HiSeq 2500) run: 13.2M spots, 672.1M bases, 202.2Mb downloads

Submitted by: NCBI (GEO)
Study: Identification of miRNAs and Their targets in Colorectal Cancer (miRNA)
show Abstracthide Abstract
Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide. The roles of microRNAs (minRNAs) in mRNA destabilization and translational repression of this disease are well appreciated, their involvement in endonucleolytic cleavage of target mRNAs is poorly understood. Methods: High throughput small RNA sequencing was employed for the identification and profiling of miRNAs by six pairs of colorectal cancer tissues (CT) and their adjacent tissues (CN). GO (gene ontology) biological process analysis and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis was carried out to understand the role of regulated miRNAs in CRC. Results: Using high-throughput sequencing, we identified 1409 miRNAs in the CT and CN libraries, including 81 novel miRNAs. 420 conserved and eight novel differentially expressed miRNAs (DEmiRNAs) were identified by comparing the expression levels of CT libraries with CN libraries. Conclusions: Our findings may lead to a better understanding of the novel role of miRNA in the gene regulation of CRC. Overall design: miRNA profiles of CRC were generated by deep sequencing using Illumina HiSeq2500
Sample: CT6
SAMN10853064 • SRS4312837 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina HiSeq 2500
Strategy: miRNA-Seq
Source: TRANSCRIPTOMIC
Selection: size fractionation
Layout: SINGLE
Construction protocol: Total RNA enriched in small RNA population was extracted using miRNeasy kit (Qiagen) as per the manual's protocol. RNA libraries were constructed for sequencing using standard Illumina protocols
Experiment attributes:
GEO Accession: GSM3586386
Links:
Runs: 1 run, 13.2M spots, 672.1M bases, 202.2Mb
Run# of Spots# of BasesSizePublished
SRR851258413,178,060672.1M202.2Mb2020-03-02

ID:
7191128

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