Project description:MCF10AT1 (M-II), MCF10CA1h (M-III) and MCF10CA1a.cl1 (M-IV) are a set of human breast cancer cell lines that derived from the same parent cell line MCF10 but display distinct phenotypes in metastatic potential in the form of xenografts in immune-compromised mice. From M-II to M-IV, the metastatic potential is gradually increased. Using a self-designed real-time PCR based miRNA array containing 242 genes, we tested the miRNA expression levels in these cell lines in order to identify metastasis-related miRNAs.
Project description:MCF10AT1 (M-II), MCF10CA1h (M-III) and MCF10CA1a.cl1 (M-IV) are a set of human breast cancer cell lines that derived from the same parent cell line MCF10 but display distinct phenotypes in metastatic potential in the form of xenografts in immune-compromised mice. From M-II to M-IV, the metastatic potential is gradually increased. Using a self-designed real-time PCR based miRNA array containing 242 genes, we tested the miRNA expression levels in these cell lines in order to identify metastasis-related miRNAs. qPCR gene expression profiling. Equal amount total RNA from each cell line was pooled prior to gene expression analysis.
Project description:The spontaneous pulmonary metastasis model of human uterine sarcoma was established using GFP-expressed MES-SA cells. Several sublines with different metastatic potentials were generated by in vivo passaging. We used microarrays to identify the metastatic-related genes using the orthotopic tumors with different metastatic potentials.
Project description:To demonstrate CD133+CD44+ and CD133+CD44- subpopulations of hepatocellular carcinoma as distinct subgroups, we have employed whole genome microarray expression profiling as a discovery platform to reveal the gene profiles of different subgroups and identify genes responsible for the enhanced metastatic potentials of CD133+CD44+ tumor cells. CD133+CD44+ and CD133+CD44- tumor cells were isolated from three human metastatic hepatocellular carcinoma specimens. A 76-gene consensus signature was identified that distinguished between CD133+CD44+ and CD133+CD44- subgroups. CD133+CD44+ and CD133+CD44- subgroups from different patients were well clustered as two distinct classes according to this signature, and many genes in this signature were reported involved in tumor metastasis. Expression of four genes (CCL4, DKK3, CCR5 and MMP12) from this signature was confirmed in another three metastatic HCC specimens by real-time PCR.
Project description:MicroRNAs (miRNAs) are known to be deregulated in human breast cancer (BC). The purpose of the current study was to investigate the expression of miRNAs in different stages of BC to assess their biological value in BC progression. MiRNA expression was assessed in a series of BC patients (n=7) with distinct stages of tumour progression (Normal, in-situ (DCIS), primary invasive BC and nodal metastases) to evaluate miRNA differential expression. We used an Agilent miRNA microarray based platform which uses miRBase 16 to screen for 1205 Homo sapiens (hsa) and 144 human viral miRNA candidates. To validate the microarray data, the expression of two deregulated miRNAs was measured by TaqMan quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR).
Project description:To demonstrate CD133+CD44+ and CD133+CD44- subpopulations of hepatocellular carcinoma as distinct subgroups, we have employed whole genome microarray expression profiling as a discovery platform to reveal the gene profiles of different subgroups and identify genes responsible for the enhanced metastatic potentials of CD133+CD44+ tumor cells. CD133+CD44+ and CD133+CD44- tumor cells were isolated from three human metastatic hepatocellular carcinoma specimens. A 76-gene consensus signature was identified that distinguished between CD133+CD44+ and CD133+CD44- subgroups. CD133+CD44+ and CD133+CD44- subgroups from different patients were well clustered as two distinct classes according to this signature, and many genes in this signature were reported involved in tumor metastasis. Expression of four genes (CCL4, DKK3, CCR5 and MMP12) from this signature was confirmed in another three metastatic HCC specimens by real-time PCR. CD133+CD44+ and CD133+CD44- subpopulations of hepatocellular carcinoma were isolated from three metastatic hepatocellular carcinoma specimens by flow cytometry. A total of 30K to 50K cells for each subgroup was obtained for each microarray.
Project description:The spontaneous pulmonary metastasis model of human uterine sarcoma was established using GFP-expressed MES-SA cells. Several sublines with different metastatic potentials were generated by in vivo passaging. We used microarrays to identify the metastatic-related genes using the orthotopic tumors with different metastatic potentials. Orthotopic transplanted uterine sarcoma were observed after 3 weeks post-transplantation and the xenografted tumor reached about 2000 mm3 in additional 3 weeks. After 6 weeks post-transplantation, the animals were sacrificed under isoflurane anesthesia, and the tumors were resected. The GFP-positive regions were collected using Leica MZ10F fluorescent stereomicroscope. This study compared the gene expression profiling between the orthotopic tumors with high (H)- and low (L)-metastatic potentials.
Project description:Dysregulated miRNA in human colorectal cancer (CRC) were identified through comparison between 4 CRC tumors and their adjacent normal tissues by miRNA array. Histologically-confirmed CRC were included in this study. CRC tissues and paired adjacent normal tissues were obtained from the resected surgical specimens. The adjacent normal tissue is composed of normal colonic mucosa located at approximately 10 cm away from the cancer tissue. miRNA profiling of 754 human miRNAs was performed using TaqMan Human MiRNA Array Set v3.0. Quantitative real-time polymerase chain reaction (Q-PCR) was performed using Applied Biosystems 7900HT Real-Time PCR System (Applied Biosystems). Results were analyzed by the SDS RQ Manager 1.2 software (Applied Biosystems).
2013-03-20 | GSE45349 | GEO
Project description:Real-time metagenomics-based diagnosis of community-acquired meningitis: a prospective series, Southern France.