Project description:Pancreatic ductal adenocarcinoma (PDAC) is known by its aggressiveness and lack of effective therapeutic options. Thus, improvement in current knowledge of molecular changes associated with pancreatic cancer is urgently needed to explore novel venues of diagnostics and treatment of this dismal disease. While there is mounting evidence that long noncoding RNAs (ncRNAs) transcribed from intronic and intergenic regions of the human genome may play different roles in the regulation of gene expression in normal and cancer cells, their expression pattern and biological relevance in pancreatic cancer is currently unknown. In the present work we investigated the relative abundance of a collection of ncRNAs in patients’ pancreatic tissue samples aiming at identifying gene expression profiles correlated to pancreatic cancer and metastasis. To investigate the relative abundance, we used a custom 3,355-element spotted cDNA microarray interrogating protein-coding genes and putative ncRNA were used to obtain expression profiles from 38 clinical samples of tumor and non-tumor pancreatic tissues. Bioinformatics analyses were performed to characterize structure and conservation of ncRNAs expressed in pancreatic tissues, as well as to identify expression signatures correlated to tissue histology. Strand-specific reverse transcription followed by PCR and qRT-PCR were employed to determine strandedness of ncRNAs and to validate microarray results, respectively. We found that long intronic/intergenic ncRNAs are ubiquitously expressed across tumor and non-tumor pancreatic tissue samples. Enrichment of promoter-H3K4me3 associated chromatin marks and over-representation of conserved DNA elements and stable secondary structure predictions suggest that these transcripts are generated from independent transcriptional units and that at least a fraction is under evolutionary selection, and thus potentially functional. Statistically significant expression signatures comprising protein-coding mRNAs and long ncRNAs that correlate to PDAC or to pancreatic cancer metastasis were identified. Interestingly, loci harboring intronic ncRNAs differentially expressed in PDAC metastases were enriched in genes associated to the MAPK pathway. Orientation-specific RT-PCR documented that intronic transcripts are expressed in sense, antisense or both orientations relative to protein-coding mRNAs. Differential expression of a subset of intronic ncRNAs (PPP3CB, MAP3K14 and DAPK1 loci) in metastatic samples was confirmed by Real-Time PCR. All this results reveal sets of long intronic ncRNAs expressed in pancreatic tissues whose abundance is correlated to PDAC or metastasis, thus pointing to the potential relevance of this class of transcripts in biological processes related to malignant transformation and metastasis in pancreatic cancer. Fluorescent labeled cDNA targets derived from pancreatic tumor and non-tumor tissue from each patient were combined and hybridized to spotted cDNA microarrays. For each patient, a replicate hybridization was performed. For each sample, there are 4 replicate measurements for each probe.
Project description:Pancreatic ductal adenocarcinoma (PDAC) is known by its aggressiveness and lack of effective therapeutic options. Thus, improvement in current knowledge of molecular changes associated with pancreatic cancer is urgently needed to explore novel venues of diagnostics and treatment of this dismal disease. While there is mounting evidence that long noncoding RNAs (ncRNAs) transcribed from intronic and intergenic regions of the human genome may play different roles in the regulation of gene expression in normal and cancer cells, their expression pattern and biological relevance in pancreatic cancer is currently unknown. In the present work we investigated the relative abundance of a collection of ncRNAs in patients’ pancreatic tissue samples aiming at identifying gene expression profiles correlated to pancreatic cancer and metastasis. To investigate the relative abundance, we used a custom 3,355-element spotted cDNA microarray interrogating protein-coding genes and putative ncRNA were used to obtain expression profiles from 38 clinical samples of tumor and non-tumor pancreatic tissues. Bioinformatics analyses were performed to characterize structure and conservation of ncRNAs expressed in pancreatic tissues, as well as to identify expression signatures correlated to tissue histology. Strand-specific reverse transcription followed by PCR and qRT-PCR were employed to determine strandedness of ncRNAs and to validate microarray results, respectively. We found that long intronic/intergenic ncRNAs are ubiquitously expressed across tumor and non-tumor pancreatic tissue samples. Enrichment of promoter-H3K4me3 associated chromatin marks and over-representation of conserved DNA elements and stable secondary structure predictions suggest that these transcripts are generated from independent transcriptional units and that at least a fraction is under evolutionary selection, and thus potentially functional. Statistically significant expression signatures comprising protein-coding mRNAs and long ncRNAs that correlate to PDAC or to pancreatic cancer metastasis were identified. Interestingly, loci harboring intronic ncRNAs differentially expressed in PDAC metastases were enriched in genes associated to the MAPK pathway. Orientation-specific RT-PCR documented that intronic transcripts are expressed in sense, antisense or both orientations relative to protein-coding mRNAs. Differential expression of a subset of intronic ncRNAs (PPP3CB, MAP3K14 and DAPK1 loci) in metastatic samples was confirmed by Real-Time PCR. All this results reveal sets of long intronic ncRNAs expressed in pancreatic tissues whose abundance is correlated to PDAC or metastasis, thus pointing to the potential relevance of this class of transcripts in biological processes related to malignant transformation and metastasis in pancreatic cancer.
Project description:<p>There is a clear need to develop biomarkers for Parkinson disease (PD) diagnosis and monitoring disease progression. In this study we evaluated cerebrospinal fluid (CSF) proteins, which are known to be critically involved in PD or identified in our preliminary profiling studies, aptamers, and RNAs as potential PD biomarkers. Access to subjects for this study was via the Pacific Northwest Udall Center (PANUC) and the Alzheimer's Disease Research Center (ADRC) at the University of Washington and Oregon Health and Sciences University (OHSU). Using CSF samples from 30 well-characterized patients with PD and 30 age-, sex-matched healthy controls, we prepared RNA seq libraries and performed deep sequencing of all RNA species, including small and long RNA, mRNAs, noncoding RNAs and differentially spliced transcripts. We then tried several methods for RNAseq data analysis to optimize our analysis pipeline. We identified a total of 3381 transcripts corresponding to 182 long intergenic RNAs (LincRNAs), 11 microRNAs (miRNAs), 2861 protein-coding transcripts, 200 pseudogenes and 127 antisense RNAs; some of them were differentially expressed between PD and control groups. Selected differentially expressed RNAs have been validated in the same set of CSF samples using real-time PCR (RT-PCR). Further validations in independent, larger cohorts of samples are still ongoing. Our results obtained so far suggested that CSF proteins and RNAs could be used as good indexes for PD diagnosis and disease severity/progression. This study is a part of the NIDDS-funded Parkinson's Disease Biomarkers Program (PDBP).</p>
Project description:In order to understand the role of long noncoding RNAs (lncRNAs) and their interaction with coding RNAs in esophageal sqaumous cell cancer (ESCC), we performed genome-wide screening of the expression of lncRNAs and coding RNAs from primary ESCC tissue and adjacent normal tissue using Agilent SurePrint G3 Human GE 8x60K Microarray. By comparing ESCC tissues and matched normal tissues, differentially expressed lncRNAs and coding RNAs were identified and confirmed with PCR and other independent studies. We further identified a subset of co-located and co-expressed lncRNAs and coding RNAs using bioinformatic tools and the analysis suggested that a subset of lncRNAs may influence nearby genes involved in the genesis of ESCC. Four pairs of ESCC primary tumors and adjacent normal tissues were used for genome-scale microarray experiments, which included long noncoding RNAs and coding RNAs. Selected lncRNAs expressed in the experiment were validated on independent matched-pair samples with PCR method.
Project description:To understand the role of long non-coding RNAs and interaction with coding RNAs in bladder urothelial cell carcinoma (BUCC), we performed genome-wide screening long non-coding RNAs and coding RNAs expression on primary BUCC tissues and normal tissues using long non-coding RNA array (Agilent plateform (GPL13825). By comparing these two groups, significantly differentially expressed lncRNAs and coding RNAs were identified. We further identifed a subset of long noncoding RNAs and their correlation with neighboring coding genes using bioinformatic tools. This analysis provides foundamental understaning of transcriptomic landscape changing during bladder carcinogenesis. 12 BUCC primary tumors and 3 normal tissues were used for long noncoding RNA array experiments which including long non-coding RNAs and coding RNAs. The differential expression of subset of long noncoding RNAs and their interaction with coding RNAs in BUCC compared with normal tissue will be identified with comtational analysis.
Project description:Liver invasion and metastasis often occur in gallbladder cancer (GBC). We established a liver metastasis mouse model using NOZ cells for two round intrasplenic injection. We acquired a highly metastatic subclone of NOZ cells, we named it LiM2-NOZ(second-round liver metastasis NOZ) cells. Then we characterized the long noncoding RNAs (lncRNAs) and mRNAs that differentially expressed in NOZ and LiM2-NOZ cells.
Project description:Total RNA from 6 pairs colorectal cancer tissues and its matched adjacent non-cancerous tissues was extracted and sequenced by high throughput sequencing. Then, differentially expressed circRNAs, long noncoding RNAs, and mRNAs were showed in colorectal cancer.
Project description:We identified 27 long noncoding RNAs with differential expression (DE-lncRNAs) between prostate cancer metastases and corresponding primary tumors, suggesting that they are metastatic castration resistant prostate cancer (mCRPC)-specific lncRNAs. To assess androgen regulation of the DE-lncRNAs, we investigated their expression in LNCaP and VCaP cells induced with dihydrotestosterone (DHT) as well as in androgen receptor (AR)-silenced cells by using RNA-sequencing.
Project description:To understand the role of long non-coding RNAs and interaction with coding RNAs in bladder urothelial cell carcinoma (BUCC), we performed genome-wide screening long non-coding RNAs and coding RNAs expression on primary BUCC tissues and normal tissues using long non-coding RNA array (Agilent plateform (GPL13825). By comparing these two groups, significantly differentially expressed lncRNAs and coding RNAs were identified. We further identifed a subset of long noncoding RNAs and their correlation with neighboring coding genes using bioinformatic tools. This analysis provides foundamental understaning of transcriptomic landscape changing during bladder carcinogenesis.