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RNA-Seq analysis facilitates quantitative analysis to identify DEGs in lung cancer cell lines regulated by S100A7A introduction in comparison with Cl1-0 control and S100A7A knockdown in comparison with CL1-5 control.

ABSTRACT: Methods: The cDNA libraries from 3 pooled samples of cultured cells for each group were sequenced to generate RNA profiles using Illumina Miseq platform Results: The sequencing runs yielded a total of 95.01 M reads with an average length of 73-74 bp. The high-throughput sequencing performed for liver samples with different treatments showed similar numbers of yielded reads ranged from 5.57 to 5.74 M and the same average length. The Strand NGS software (version 2.1) was used using default parameters for pre-alignment and post-alignment quality control analysis and 100% of the raw reads remained in the dataset. Of these, 19.02 M reads (84%) were mapped into contigs of the rat genome (rn5) and identified 31457 transcripts in liver samples.

ORGANISM(S): Homo sapiens

PROVIDER: GSE86344 | GEO | 2017/01/31

SECONDARY ACCESSION(S): PRJNA341495

REPOSITORIES: GEO

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RNA-Seq analysis facilitates quantitative analysis to identify genes in hepatic tissue of partially hepatectomized rats regulated by ASCs-miR27b introduction in comparison with ASCs-siRNC or saline controls

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