Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA207809 | ENA |
REPOSITORIES: ENA
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Project description:The paired low-metastatic 95C and high-metastatic 95D cell lines were subcloned from a low differentiated human large cell lung carcinomacell line PLA-801. The cells were well authenticated and published by several research groups. The cells were kindly provided by Professor Ying-Lin Lu, Department of Pathobiology, Institute of Basic Medical Sciences, Academy of Military Medical Sciences, Beijing, China on Dec. 5M-oM-<M-^L2009. As described The 95C and 95D cells were cultured in RPMI 1640 (Invitrogen, USA) with 100 units/mL penicillin, 100 M-NM-<g/mL streptomycin and 10% calf bovine serum, and grown at 37M-BM-0 C in atmosphere with 5% CO2. miRNAs differential expression between 95C and 95D was measured using a miR human_01_H10.1_080277 miRNA array (LC Sciences Houston, USA). Paired subcloned human large cell lung carcinomacell line PLA-801 of low-metastatic 95C and high-metastatic 95D cell lines. Biological replicates:1. Five replicate per array.
2013-06-11 | E-GEOD-47788 | biostudies-arrayexpress
Project description:Colorectal cancer (CRC) is one of the most prevalent tumors, with a high mortality rate. Nearly half of CRC patients develop metastasis, which accounts for as many as 90% of CRC-related deaths. In the metastasis process, cancer cells exhibit altered dependency on specific metabolic pathways and some of the metabolites discovered might be useful as potential diagnostic biomarkers. To identify metabolic pathway dependencies in CRC metastasis, mass spectrometry-based untargeted metabolomic analysis was performed in two pairs of CRC cell lines with different metastatic abilities. Each pair of cell lines was comprised of primary and metastatic colorectal cancer cell lines (SW480 vs. SW620; HT-29 vs. COLO 205). Relative levels of intracellular metabolites distinguished high-metastatic CRC cells from low-metastatic CRC cells.
2022-10-06 | ST002341 | MetabolomicsWorkbench
Project description:Increasing evidence has demonstrated a significant role for circular RNAs (circRNAs) in tumorigenesis. However, their functions in nasopharyngeal carcinoma (NPC) metastasis remain largely unknown. In this study, a model compared high and low metastatic NPC cell lines (S18 vs. S26) was constructed to determine the expression profile of circRNAs using the RNA sequencing analysis.
2020-02-24 | GSE137543 | GEO
Project description:The paired low-metastatic 95C and high-metastatic 95D cell lines were subcloned from a low differentiated human large cell lung carcinomacell line PLA-801. The cells were well authenticated and published by several research groups. The cells were kindly provided by Professor Ying-Lin Lu, Department of Pathobiology, Institute of Basic Medical Sciences, Academy of Military Medical Sciences, Beijing, China on Dec. 5，2009. As described The 95C and 95D cells were cultured in RPMI 1640 (Invitrogen, USA) with 100 units/mL penicillin, 100 μg/mL streptomycin and 10% calf bovine serum, and grown at 37° C in atmosphere with 5% CO2. miRNAs differential expression between 95C and 95D was measured using a miR human_01_H10.1_080277 miRNA array (LC Sciences Houston, USA).
2013-06-11 | GSE47788 | GEO
Project description:To reduce cancer mortality, understanding of mechanisms of cancer metastasis is crucial. We have established 6 rat hepatocellular carcinoma (HCC) cell lines, which exhibit differing metastatic potential to the lung after inoculation into the tail veins of nude mice. Micorarray analysis of 4 kinds of HCC cells and rat normal liver tissue was performed to find a potent molecular target for prevention of cancer metastasis. By the microarray analysis, mRNA expression was compared among two low-metastatic rat HCC cell lines (C5F and C6) and two high-metastatic rat HCC cell lines (N1 and L2) as well as non-treated rat liver tissue (as a reference sample).
2012-06-20 | E-GEOD-30469 | biostudies-arrayexpress
Project description:Increasing evidence has demonstrated a significant role for long non-coding RNAs (lncRNAs) in tumorigenesis. However, their functions in nasopharyngeal carcinoma (NPC) metastasis remain largely unknown. In this study, a model compared high and low metastatic NPC cell lines (5-8F vs. 6-10B and S18 vs. S26)was constructed to determine the expression profile of lncRNAs using the microarray analysis, and we found 167 lncRNAs and 209 mRNAs were differentially expressed. Validationof 26 significantly dysregulated lncRNAs by qRT-PCR showed the expression patterns of 22 lncRNAs were in accordance with the microarray data. Furthermore, the expression level of ENST00000470135, which was the most upregulated lncRNA in high metastatic cell lines, was significantly higher in NPC cell lines and tissues with lymph node metastasis（LNM）and knocking down ENST00000470135 suppressed the migration, invasion and proliferation of NPC cells in vitro. In conclusion, our study revealed expression patterns of lncRNAs in NPC metastasis. The dysregulated lncRNAs may act as novel biomarkers and therapeutic targets for NPC.
2017-02-22 | GSE89804 | GEO
Project description:High metastatic nasopharyngeal carcinoma cell line 5-8F expression patterns against low metastatic nasopharyngeal carcinoma cell line 6-10B.
2009-12-10 | GSE15903 | GEO
Project description:Two prognostically significant subtypes of high-grade lung neuroendocrine tumors independent of small-cell and large-cell neuroendocrine carcinomas identified by gene expression profiles. BACKGROUND: Classification of high-grade neuroendocrine tumors (HGNT) of the lung currently recognises large-cell neuroendocrine carcinoma (LCNEC) and small-cell lung carcinoma (SCLC) as distinct groups. However, a similarity in histology for these two carcinomas and uncertain clinical course have led to suggestions that a single HGNT classification would be more appropriate. Gene expression profiling, which can reproduce histopathological classification, and often defines new subclasses with prognostic significance, can be used to resolve HGNT classification. METHODS: We used cDNA microarrays with 40386 elements to analyze the gene expression profiles of 38 surgically resected samples of lung neuroendocrine tumors and 11 SCLC cell lines. Samples of large-cell carcinoma, adenocarcinoma, and normal lung were also included to give a total of 105 samples analyzed. The data were subjected to filtering to yield informative genes before unsupervised hierarchical clustering that identified relatedness of tumor samples. FINDINGS: Distinct groups for carcinoids, large-cell carcinoma, adenocarcinoma, and normal lung were readily identified. However, we were unable to distinguish LCNEC from SCLC by gene expression profiling. Three independent rounds of unsupervised hierarchical clustering consistently divided SCLC samples into two main groups with LCNEC samples largely integrated with these groups. Furthermore, patients in one of the groups identified by clustering had a significantly better clinical outcome than the other (83% vs 12% survived for 5 years; p=0.0094. None of the highly proliferative SCLC cell lines subsequently analyzed clustered with this good-prognosis group. INTERPRETATION: Our findings show that HGNT of the lung can be classified into two groups independent of SCLC and LCNEC. To this end, we have identified many genes, some of which encode well-characterized markers of cancer that distinguish the HGNT groups. These results have implications for the diagnosis, classification, and treatment of lung neuroendocrine tumors, and provide important insights into their underlying biology. Keywords: other
2004-02-10 | E-GEOD-1037 | biostudies-arrayexpress
Project description:Comparing genome-wide gene expression profiles of highly metastatic lung cancer cell line NCI-H460-LNM35 vs low metastatic parental clone NCI-H460-N15 Keywords: Expression profiling with cDNA microarray
2010-08-21 | GSE16649 | GEO
Project description:This study investigates the molecular signatures that drive Renal Cell Carcinoma (RCC) metastatic conversion using the metastatic (LM2) and non-metastatic (SN12C) RCC cell lines. Two-condition experiment, RCC Cell lines vs. Reference human genome DNA from normal male.
2010-08-17 | E-GEOD-23633 | biostudies-arrayexpress