Project description:More then 10 million raw reads were acquired. In total, 238 unique mature sequences which contain 142 conserved miRNA and 96 novel miRNAs were identified.
Project description:Complements GSE56044 with 36 additional samples belonging to the large-cell carcinoma (LCC) and large-cell neuroendocrine (LCNEC) histologies. LCC classification is according to WHO 2004 guidelines. Genomic DNA from 36 lung cancer samples was treated with bisulfite and hybridized to Illumina methylation 450K arrays using standard protocols. Signal intensities were obtained from GenomeStudio (Illumina), converted to beta-values, filtered, and normalized to remove biases between Infinium I and II probes. Both raw intensity values, signal detection p-values and the final normalized data are included for each sample.
Project description:The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) in human lung cancer cells. The mRNA profiles of wild-type and C19orf12 knockdown A549 cells were generated by deep sequencing, in triplicate, using Illumina Hiseq 4000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with Burrows–Wheeler Aligner (BWA) and Bowtie2. we sequenced 6 samples of human species using RNA-Seq technology, averagely generating 24,382,600 raw sequencing reads and 24,299,184 clean reads after filtering low quality. We identified 20826 transcripts in the of WT and C19orf12 knockdown A549 samples with BWA workflow. Approximately 2% of the transcripts showed differential expression between the WT and C19orf12 knockdown A549 cells, p value <0.05. Altered expression of 21 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. We conclude that RNA-seq based transcriptome characterization would providing clues for better understanding of gene function.
Project description:Circulating tumor cells (CTCs) are associated with metastatic dissemination and adaptive stress responses in cancer. In this study, patient-derived CTCs isolated from lung cancer and pancreatic cancer samples were treated with GKB202, a natural compound derived from Antrodia cinnamomea, to investigate treatment-associated transcriptomic changes. Bulk RNA sequencing was performed to compare untreated/control and GKB202-treated CTC samples. This dataset provides raw sequencing reads and processed gene-level expression matrices for evaluating the effects of GKB202 on CTC-related transcriptional programs, including stress-response and cancer-associated pathways.
Project description:We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. With purity estimate, MethylPurify can identify differentially methylated regions (DMRs) from individual tumor samples without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. On real patient data where tumor to normal comparison were used as golden standard, MethylPurify called DMR from tumor samples alone at over 57% sensitivity and 91% specificity. Lung adenocarcinoma cancer and normal tissues from 5 patients were captured by Agilent SureSelect Methyl-Seq system, followed by bisulfite sequencing.
Project description:We performed the RNA-seq in control samples and FXR1 knockdown samples, and compared the gene expression profiles to explore the effect of FXR1 knockdown on gene expression. The study was performed in H358 cells. Doxycycline inducible shRNA3 (sh3) was used to knockdown FXR1. Control shRNA (ctrl) samples were used to get rid of the effect of Doxycycline treatment. Both the Doxycycline treament for 3 days (D3) and 5 days (D5) samples were collected. Each sample has three repeats (rep 1, rep 2, and rep 3). The mRNA profiles were generated by deep sequencing using Illumina.Sequenced reads were trimmed for adaptor sequence, then mapped to hg19 whole genome using STAR v2.5.3 with parameters --bamRemoveDuplicatesType UniqueIdentical --outSAMmultNmax 1. Raw reads and Reads Per Kilobase per Megabase of library size (RPKM) were calculated using HOMER (PMID: 20513432). Differential gene expression was analyzed using R package DESeq2 using the raw reads.
Project description:Data analyzed proteins extracted from lung tissue samples from OA-induced acute lung injury model rats.
Samples were collected at 0 (pretreatment), 3, 6,
24, 48, 96 h after OA administration. Whole tissue extracts were prepared from three individuals and analyzed using the DIA-MS method.
