Project description:Previous studies have documented that long non-coding RNAs participate in a wide-spectrum of biological processes. We hypothesized that long non-coding RNAs may promote glycolysis and tumorigenesis in colorectal cancer by manipulating of target genes. To test this hypothesis, we performed a global non-coding RNA expression profiling in 10 CRC tissues.
Project description:The Arraystar Human LncRNA Array v2.0 was designed for researchers who were interested in profiling both LncRNAs and protein-coding RNAs in human genome. 33,045 LncRNAs were collected from the authoritative data sources including RefSeq, UCSC knowngenes, Ensembl and many related literatures. This experiment is to profile lncRNAs and protein-coding RNAs using Arraystar Human LncRNA Array v2.0. Identification of coding RNAs and lncRNAs that are diffrentially expressed in colorectal cancer by comparing sample A-E (normal colorectal cells) vs sample F-J (colorectal tumor cells) and c-MYC-regulating lncRNAs by comparing sample 1-3 (triplicate of HCT116 cells treated with control siRNA) vs sample 4-6 (triplicate of HCT116 cells treated with siRNA targeting MYC) and sample 7-9 (triplicate of RKO cells treated with control siRNA) vs sample 10-12 (triplicate of RKO cells treated with siRNA targeting MYC) .
Project description:Long non-coding RNAs (lncRNAs) are defined as non-protein-coding transcripts that are at least 200 nucleotides long. They are known to play pivotal roles in regulating gene expression, especially during stress responses in plants. We used a large collection of in-house transcriptome data from various soybean (Glycine max and Glycine soja) tissues treated under different conditions to perform a comprehensive identification of soybean lncRNAs. We also retrieved publicly available soybean transcriptome data that were of sufficient quality and sequencing depth to enrich our analysis. In total, RNA-seq data of 332 samples were used for this analysis. An integrated reference-based, de novo transcript assembly was developed that identified ~69,000 lncRNA gene loci. We showed that lncRNAs are distinct from both protein-coding transcripts and genomic background noise in terms of length, number of exons, transposable element composition, and sequence conservation level across legume species. The tissue-specific and time-specific transcriptional responses of the lncRNA genes under some stress conditions may suggest their biological relevance. The transcription start sites of lncRNA gene loci tend to be close to their nearest protein-coding genes, and they may be transcriptionally related to the protein-coding genes, particularly for antisense and intronic lncRNAs. A previously unreported subset of small peptide-coding transcripts was identified from these lncRNA loci via tandem mass spectrometry, which paved the way for investigating their functional roles. Our results also highlight the current inadequacy of the bioinformatic definition of lncRNA, which excludes those lncRNA gene loci with small open reading frames (ORFs) from being regarded as protein-coding.
Project description:Using RNA CaptureSeq we annotated non-coding RNAs transcribed from genome intervals surrounding breast cancer risk signals in a range of mammary-derived tissue and cell lines.