Project description:Four cancer cell line, ie SW480-Vector, SW480-TET2, SW620-Vector and SW620-TET2 were treated with tgfb1, repsox and control. Then the total RNA of these samples were extracted and sequenced with Illumina Nextseq 500.
Project description:Three cancer cell line, ie SW480, SW620 and Caco-2, were treated with TET2, TET2CD and control vector lentivirus. The expression of TET2 was validated using qPCR. Then the total RNA of these samples were extracted and sequenced with Illumina Nextseq 500.
Project description:This study evaluates the effects of 96h stimulus with Interleukin 4 (100 ng/mL) on the transcriptome of human umbilical cord blood derived mast cells. Through this approach, we identify upregulation of key intraepithelial mast cell-associated transcripts and downregulation of subepithelial mast cell-associated transcripts. Replicates are technical duplicates. Samples were sequenced on an Illumina NextSeq 500.
Project description:Three libraries from 100 HEK293 cells each were prepared using a Smartseq based custom library preparation approach with unique molecular identifiers. Libraries were sequenced on a Illumina NextSeq 500
Project description:Total RNA was isolated from serum samples by the Qiagen miRNeasy Serum/Plasma extraction kit and QIAcube automation. All samples were quantified using the Nanodrop spectrophotometer prior to plating. Small RNA-seq libraries were prepared using the Norgen Biotek Small RNA Library Prep Kit and then sequenced on the Illumina NextSeq 500 platform at 51bp single end reads. ExceRpt was employed to assess the read quality and annotate miRNAs. The read count was log transformed and normalized by quantile normalization.
Project description:Purpose: The study was designed to identify transcriptional differences of P0 liver HSCs with different genotypes or different cell size. Method: For RNA-seq, libraries were prepared according to the Smart-seq2 protocol from 100-200 sorted HSCs. Samples were sequenced by NextSeq500 (Illumina) with single-end 75-bp read length using the NextSeq 500/550 High Output v2 Kit (75 cycles, Illumina). The RNA-seq pipeline from Basepair (www.basepairtech.com) was used for the analysis. Expression count was analyzed by STAR and differential expression by DESeq2 (P < 0.05 and fold-change > 2).
Project description:In this study, we sequenced small RNAs at seven successive stages of seed development and leaf tissue in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. More than 500 million reads were generated in all the samples combined together with an average of 34 million reads in each sample. Data obtained in FASTQ files were pre-processed and unique reads representing small RNAs were identified at different stages of seed development.
