Project description:During cortical development neurons are generated sequentially from basal progenitors (BPs) which specifically express the transcription factor Tbr2. We used fluorescent-activaed cell sorting (FACS) to isolate BPs from Tbr2GFP knockin reporter mice (Arnold SJ et al. Genesis, 2009) at early (embryonic day, E13) and late (embryonic day, E16) stages of cortical neurogenesis and determined miRNA expression profiles using mouse miRNA microarray (Agilent).Comparison of E13 and E16 microRNA expression profiles allowed us to identify regulatory mechanisms for maintaining stage specific homeostasis of BPs. FACS isolated BPs at E13 and E16 mouse brain cortex were used for miRNA microarray analyses. Four biological replicates (embryonic cortex from three different litters) for each group (E13 or E16) were analysed.
Project description:During cortical development neurons are generated sequentially from basal progenitors (BPs) which specifically express the transcription factor Tbr2. We used fluorescent-activaed cell sorting (FACS) to isolate BPs from Tbr2GFP knockin reporter mice (Arnold SJ et al. Genesis, 2009) at early (embryonic day, E13) and late (embryonic day, E16) stages of cortical neurogenesis and determined mRNA expression profiles using mouse mRNA microarray (Illumina MouseWG-6 v2). Comparison of E13 and E16 mRNA expression profiles allowed us to identify regulatory gene networks for maintaining stage specific homeostasis of BPs throughout neurogenesis. FACS isolated BPs at E13 and E16 mouse brain cortex were used for microarray analyses. Six biological replicates (embryonic cortex from three different litters) for E13 and five biological replicates (embryonic cortex from three different litters) for E16 were analysed.
Project description:MicroRNAs (miRNAs) are small noncoding RNAs that participate in regulation of gene expression. Their role during mammary gland development is still largely unknown. In the present study, we performed a microarray analysis to identify miRNAs associated with high mammogenic potential of bovine mammary gland. We identified 54 miRNAs differing significantly between mammary tissue of dairy (Holstein-Friesian, HF) and beef (Limousine, LM) post-pubertal heifers. Fifty two miRNAs had higher expression in the mammary tissue of LM heifers. Enrichment analyses for targeted genes revealed that the major differences between miRNA expression in the mammary gland of HF vs. LM were associated with regulation of signalling pathways crucial for mammary gland development, such as: TGF-beta, insulin, WNT and inflammatory pathways. Moreover, a number of genes potentially targeted by differentially expressed miRNAs was associated with mammary stem cells’ activity. These data indicate that in dairy cattle high developmental potential of the mammary gland, leading to high milk productivity, not only depends on central neuro-endocrine regulation but also on specific miRNA expression pattern. miRNA profiling of Holstein Freisian (dairy breed) and Limousne heifers (beef breed) mammay glands. Two-condition experiment, LM (test) vs. HF (reference). Total RNA was isolated from quarters of 4 LM and 4 HFmammary glands.
Project description:Background: MicroRNAs (miRNAs) are small, non-coding, RNA molecules which regulate numerous cellular processes. Specific miRNA may be abnormally down-regulated or up-regulated in colorectal cancer and have been found associated with prognosis or response to treatments. However, no study has ever addressed their predictive role in rectal cancer. Therefore, we used microarray technology and RT-PCR to profile miRNA expression patterns in patients (pts) with rectal cancer, with the aim to identify a specific M-bM-^@M-^\signatureM-bM-^@M-^] associated with pathological complete response after neoadjuvant chemo-radiotherapy. Methods: 38 pts with locally advanced rectal cancer (cT3-4/N+) were treated with capecitabine-oxaliplatin and pelvic conformal radiotherapy (45 cGy) followed by surgery (after 6-8 weeks). Pathologic response was scored according to the tumor regression grade (TRG) scale. MiRNA expression profile was analysed by microarray on fresh frozen biopsies obtained before treatment start and confirmed by RT-PCR. The correlation between miRNA expression profile and the TRG coded as TRG1 (pathologic Complete Response-pCR) versus TRG >1 (no pCR) was assessed by statistical analysis methods specifically designed for this study. Findings: 14 miRNAs were selected by arrays analysis as differentially expressed in TRG1 pts and 13 were confirmed by RT-PCR. In particular, 11 miRNAs (miR-1183, miR-483-5p, miR-622, miR-125a-3p, miR-1224-5p, miR-188-5p, miR-1471, miR-671-5p, miR-1909*, miR-630 and miR-765) were significantly up-regulated in TRG1 pts, while 2 miRNAs were under -expressed (miR-1274b and miR-720). miR-622 and miR-630 showed 100% sensitivity and specificity in selecting TRG1 cases and were significantly correlated with EGFR (M-OM-^G2=11M-bM-^@M-"793; p= 0M-bM-^@M-"001) and TS expression (M-OM-^G2=10M-bM-^@M-"589; p= 0M-bM-^@M-"001). Interpretation: A set of 13 miRNAs is strongly associated with pathologic complete response and may represent a specific marker of response to chemo-radiotherapy in locally advanced rectal cancer. Experiments were performed on purified RNA from preoperatory biopsies of 38 patients with histological diagnosis of rectal adenocarcinoma invading through the intestinal wall and/or with pelvic lymph node involvement as evaluated by endorectal ultrasonography (uT3-T4 and/or uN+). Patients were treated with neoadjuvant chemo-radiotherapy (capecitabine + oxaliplatin in combination with 45 Gy of pelvic conformal radiotherapy). Patients have been divided in the following two groups: group A those who had obtained a pathologic complete response M-bM-^@M-^S TRG 1, including the patient without detectable disease who refused surgery, group B any pathologic response other than complete.
Project description:Understanding transcriptional changes during cancer progression is of crucial importance to develop new and more efficacious diagnostic and therapeutic approaches. It is well known that ErbB2 is overexpressed in about 25% of human invasive breast cancers. We have previously demonstrated that p130Cas overexpression synergizes with ErbB2 in mammary cell transformation and promotes ErbB2-dependent invasion in three-dimensional (3D) cultures of human mammary epithelial cells. Here, by comparing coding and non-coding gene expression profiles, we define the invasive signatures associated with concomitant p130Cas overexpression and ErbB2 activation in 3D cultures of mammary epithelial cells. Specifically, we have found that genes involved in amino acids synthesis (CBS, PHGDH), cell motility, migration (ITPKA, PRDM1), and angiogenesis (HEY1) are upregulated, while genes involved in inflammatory response (SAA1, S100A7) are downregulated. In parallel, we have shown that the expression of specific miRNAs is altered. Among these, miR-200b, miR-222, miR-221, miR-R210, and miR-424 are upregulated, while miR-27a, miR-27b, and miR-23b are downregulated. Overall, this study presents, for the first time, the gene expression changes underlying the invasive behavior following p130Cas overexpression in an ErbB2 transformed mammary cell model. To identify transcriptional changes occurring during invasion we have performed a comparative microarray analysis of non coding RNA (miRNA) between MCF10A.B2 acini over-expressing p130Cas with activation of ErbB2 and control cells.
Project description:miRNAs expression is known to be deregulated in many types of cancer leading to suspect them implication in crucial steps occurring during tumor progression and maybe as potential driving genes. In this study we tried to decipher the place of miRNA in the hierarchical events cascade occurring in prolactinoma-tumours progression toward malignancy by using an integrative genomic approach performed on the same samples associating global miRNA expression, transcriptomic, DNA structure and methylation analyses. By this approach, we observed the down-regulation of 3 miRNAs (miR-183, miR-98, and miR-744) in A vs. NA tumors. MiR-98 and miR-744 were demonstrated to regulate respectively E2F2 and TGFB1 which are up-regulated in the A vs. NA prolactinomas. Moreover we demonstrated that KIAA0101 is a new target of miR-183 and that miR-183 is regulated by the transcription factor ETS2. KIAA0101 is up-regulated in the A vs. NA prolactinomas. KIAA0101, E2F2 and TGFB1 are interconnected in a pathway controlling cell proliferation and invasion that is over-activated in A PRL tumors. Thus the down-regulation of these three miRNAs is involved in the tumoral progression of human prolactinoma towards aggressiveness. The integrative genomic approach used here allowed us to propose a model of PRL tumoral progression towards aggressiveness. Moreover it revealed the potential of integrative genomic strategy applied in the same human tumors to identify the molecular mechanisms responsible for tumor progression even from a small cohort of patients. miRNA signatures was assessed on 4 aggressive, 8 non-aggressive human prolactin secreting pituitary tumors and 1 normal pituitary for data normalization.
Project description:miRNAs are small non-coding RNAs frequently altered in human malignancies. They regulate protein-coding gene expression by mediating mRNA degradation and/or repressing translation via the association with the 3M-bM-^@M-^Y untranslated region (3M-bM-^@M-^Y UTR) of the mRNAs. Aberrant miRNA expression can influence several gene networks and pathways implicated in tumorigenesis and metastasis formation. To reveal miRNAs involved in breast cancer progression we investigated miRNA expression in 77 ductal breast carcinoma biopsies and 17 mammoplasties by microarray analysis. 16 differentially expressed miRNAs were identified comparing patients with or without disease relapse within 72 months from surgery. We have performed a microarray miRNA expression analysis on 77 ductal breast carcinoma biopsies and 17 normal tissues from mammoplastic reductions using the Human Agilent platform (V2). 77 frozen tumor specimens were selected from the Tumor Bank of the Department of Obstetrics and Gynecology, University of Turin. They were obtained from patients who underwent primary surgical treatment between 1988 and 2001 at a median age of 54 years (25-82). Eligibility criteria were the following: diagnosis of invasive breast cancer, all T and N stages, no distant metastasis at diagnosis (M0), complete clinical-pathological data and updated follow up. All patients were treated with radical modified mastectomy or quadrantectomy and axillary dissection plus breast irradiation. As normal breast controls 17 frozen mammoplastic reductions (EPFL, Lausanne) were included in the screening. Appropriate ethical approval was obtained for this study.
Project description:MicroRNAs (miRNAs) are a family of short, noncoding RNAs that regulate translation of mRNAs by mechanisms involving the binding of complementary sequences. The influence of miRNAs on the proteome and cellular events is extensive as they regulate an estimated 60% of the transcriptome and play key roles in differentiation, plasticity, circadian rhythm, immunity, and disease. The post-transcriptional biogenesis of most miRNAs involves a sequential cleavage process mediated by RNase III family enzymes. Primary transcripts (pri-miRNAs) are first cleaved by Drosha in the nucleus to yield ~70nt hairpin precursors (pre-miRNAs). These intermediates are transported to the cytoplasm where ~22mer dsRNAs are excised by Dicer. Typically, one strand of the dsRNAs is inserted as a mature miRNA into the RNA-induced silencing complex (RISC), which contains members of the Argonaute (Ago) protein family that contribute to translational regulation. Recent studies indicate that some RNA-binding proteins (RNA-BPs) can regulate discrete processing steps, differentially blocking or promoting the formation of specific miRNAs to control cellular proliferation and differentiation. Elegant examples of this mechanism include the attenuation of let-7 biogenesis in embryonic stem cells by the pluripotency factor LIN28, and the selective enhancement of miR-18a biogenesis from a polycistronic transcript by hnRNPA1. Mature miRNA expression profiles in B104 cells were measured after siRNA-mediated knockdown of RBM3 in the B104 neuronal cell line. Mock treated B104 cells were used as a control. Experiments were replicated in duplicates.
Project description:Expression profiling of latently infected cells using a custom tiling microarray HUVEC and TIME cells were infected BCBL-1-derived KSHV. Mock infected HUVEC and TIME cells served as controls for each of these two stably infected cells, respectively. BJAB cells served as uninfected controls for the BCBL-1 cells. KSHV-infected cells are induced to enter lytic cycle with valproate or Adenovirus-RTA. Cells were harvested at indicated time points and analyzed. Three condition experiment: mock infected, latently infected cells and lytically infected. Three cell types (BJAB cells served as uninfected controls for the BCBL-1 cells).
Project description:The purpose is to obtain samples for transcriptional analysis in triplicate wells using wild type West Nile virus (WNV NY99 clone 382; WNVWT) and mutant virus (WNVE218A) in mouse granule cell neurons. This data set comprises two complete biological replicate experiments conducted in the same conditions and with data processed independently. Granule cell neurons from day 6 C57Bl/6J mouse pups are infected with plasmid-derived wild type West Nile virus NY99 clone 382 (WNVWT) or plasmid-derived isogenic E218A mutant West Nile virus NY99 clone 382 (WNVE218A) with multiplicity of infection (MOI) 250. Three technical replicates were performed at each of 1, 8, 12 and 24 hrs post infection. Time matched mocks done in triplicate are treated with mockulum: cell media concentrated through ultracentrifugation and diluted as virus. mRNA is sampled at all time points; microRNA is sampled at 12 hours post-infection. There were two independent biological replicates of the entire procedure, distinguished by sample name prefixes ('WGCN002' and 'WGCN003') and the biological_replicate characteristic field.