BACKGROUND: There are 481 ultra-conserved regions (UCRs) longer than 200 bases in the genomes of human, mouse and rat. These DNA sequences are absolutely conserved and show 100% identity with no insertions or deletions. About half of these UCRs are reported as transcribed and many correspond to long non-coding RNAs (lncRNAs). METHODS: We used custom microarrays with 962 probes representing sense and antisense sequences for the 481 UCRs to examine their expression across 374 normal samples from 4 ...[more]
Project description:Profiling array: in order to investigate the microRNAs differentially expressed between osteosarcoma and their normal bone counterpart. Specimens were kept at 4 C in RNAlater for up to 1 week, then stored at 80 C. When formal pathologic interpretation of histology from other portions of the biopsy specimen rendered a diagnosis of osteosarcoma, the RNA-preserving tissue specimens were banked and annotated. In preparation for these specific experiments, total RNA was extracted from banked specimens with the TRIzol reagent and method (Invitrogen). Control samples were derived from to-be-discarded bone fragments obtained from similarly consented patients undergoing debridement surgeries for acute, traumatic injuries to the long bones.
Project description:MicroRNA expression profiles for human Multilple Myeloma and MGUS (monoclonal gammopathy of undetermined significance) were examined to investigate the miRNA involvement in the development of this neoplasia.
Project description:MicroRNAs are small non-coding RNAs that regulate mRNA function. Recent studies have shown that microRNA expression is altered in tumors. We studied the expression of both microRNAs and mRNAs in 60 primary prostate tumors and 16 non-tumor prostate tissues to evaluate the involvement of microRNAs in prostate cancer. Global microRNA expression was determined in RNA isolated from fresh-frozen human tissues with a custom oligonucleotide microarray chip. Expression analysis of mRNAs using Affymetrix gene chips revealed that Dicer, a key component of microRNA processing, and two microRNA host genes, MCM7 and C9orf5, were significantly up-regulated in prostate tumors. Consistent with the findings, tumors expressed at higher levels the miR-25 cluster (miR-25/miR-93/miR-106b), which maps to intron 13 of MCM7, and miR-32, which maps to intron 14 of C9orf5, than non-tumor prostate tissues. Other microRNAs that were overexpressed included miR-26a, miR-31, miR-182, miR-196a, and miR-200c, among others, and homologues of the miR-25 cluster, such as miR-92 and miR-106a. Among the down-regulated microRNAs in tumors were the miR-1/miR-133a cluster, miR-490, miR-494 and miR-520h. Differences in microRNA expression were also observed between high and low Gleason score and between tumors that either showed or did not show extraprostatic extension. A 37-probeset signature, representing 23 different mature microRNAs, correctly classified all non-tumor tissues and 80% of the tumors. In summary, our data indicate that alterations in microRNA expression occur in the development and progression of human prostate cancer. Such changes may prove useful in the development of novel diagnostic and prognostic markers. Keywords: Marcodissected tissues Sixty fresh-frozen prostate tumors were obtained from the NCI Cooperative Prostate Cancer Tissue Resource (CPCTR) and the Department of Pathology at the University of Maryland (UMD). All tumors were resected adenocarcinomas that had not received any therapy prior to prostatectomy. The macro-dissected CPCTR tumor specimens were reviewed by a CPCTR-associated pathologist, who confirmed the presence of tumor in the frozen specimens. Surrounding non-tumor prostate tissue was collected from 16 patients with prostate cancer. All tissues were collected between 2002 and 2004. Information on race/ethnicity was either extracted from medical records (CPCTR) or obtained through an epidemiological questionnaire (UMD). Clinicopathological characteristics of the patients, including age at prostatectomy, histology, Gleason score, pathological stage, PSA at diagnosis, tumor size, extraprostatic extension, margin involvement, and seminal vesicle invasion were obtained from CPCTR. For UMD cases, this information was extracted from the medical and pathology records, if available. The study was approved by the institutional review boards of the participating institutions. Total RNA was isolated using the TRIZOL reagent according to the manufacturer’s instructions (Invitrogen, Carlsbad, CA). RNA integrity for each sample was confirmed with the Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA). Each RNA was then split into two pools that were either processed for the microRNA microarray or the mRNA microarray.
Project description:MicroRNA (miRNA) expression profiles for prostate cancers were examined to investigate the miRNA involvement in prostate carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate prostate cancers from noncancerous prostate tissues.
Project description:MicroRNA (miRNA) expression profiles for lung cancers were examined to investigate the miRNA involvement in lung carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate lung cancers from noncancerous lung tissues.
Project description:MicroRNA expression profiles in response to LBH589 were examined in order to identify HDACi-induced alterations in miRNA expression that regulate apoptotic signaling in chronic lymphocytic leukemia.plasia. miRNA microarray analysis identified unique alterations in miRNA profile that could be used to identify new pathways for apoptosis regulation in CLL.
Project description:MicroRNA (miRNA) expression profiles for pancreatic endocrine tumors were examined to investigate the miRNA involvement in pancreatic carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate pancreatic cancers from noncancerous pancreas tissues.
Project description:MicroRNAs are short non-coding RNA molecules playing regulatory roles in animals and plants by repressing translation or cleaving RNA transcripts. The specific modulation of several microRNAs has been recently associated to some forms of human cancer, suggesting that these short molecules can represent a new class of genes involved in oncogenesis. In our study, we examined by microarray the global expression levels of 245 microRNAs in glioblastoma multiforme (GBM), the most frequent and malignant of primary brain tumors. The analysis of both glioblastoma tissues and glioblastoma cell lines allowed us to identify a group of microRNAs whose expression is significantly altered in this tumor. The most interesting results came from miR-221, strongly upregulated in glioblastoma and a set of brain-enriched miRNAs, miR-128, miR-181a, miR-181b, miR-181c, which are down-regulated in glioblastoma.
Project description:Background. Colorectal cancer develops through two main genetic instability pathways characterized by distinct pathologic features and clinical outcome. Results. We investigated colon cancer samples (23 characterized by microsatellite stability, MSS, and 16 by high microsatellite instability, MSI-H) for genome-wide expression of microRNA (miRNA) and mRNA. Based on combined miRNA and mRNA gene expression, a molecular signature consisting of twenty seven differentially expressed genes, inclusive of 8 miRNAs, could correctly distinguish MSI-H versus MSS colon cancer samples. Among the differentially expressed miRNAs, various members of the oncogenic miR-17-92 family were significantly up-regulated in MSS cancers. The majority of protein coding genes were also up-regulated in MSS cancers. Their functional classification revealed that they were most frequently associated with cell cycle, DNA replication, recombination, repair, gastrointestinal disease and immune response. Conclusions. This is the first report that indicates the existence of differences in miRNA expression between MSS versus MSI-H colorectal cancers. In addition, the work suggests that the combination of mRNA/miRNA expression signatures may represent a general approach for improving bio-molecular classification of human cancer.