Gene expression profile at single cell level of the lung cancer brain metastatic cell line 482N1 grew in the brain parenchyma
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE233366 | GEO | 2023/08/30
REPOSITORIES: GEO
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Project description:Gene expression profile at single cell level of the lung cancer brain metastatic cell line 482N1 grew in the brain parenchyma
| PRJNA975969 | ENA
Project description:Cerebral metastases occur in a majority of metastatic melanoma patients and are a major cause of mortality. Despite this, there is a poor understanding of the molecules/pathways that lead to the brain-metastatic phenotype. Studies designed to address this deficiency and test novel therapeutic approaches have until recently been slowed by an absence of preclinical models of spontaneous CNS metastatic melanoma disease. To address this, we isolated two variants of the human melanoma cell line WM239 (named 131/4-5B1 and 131/4-5B2) which can metastasize spontaneously to brain parenchyma from an orthotopic primary transplant. We have performed gene expression profiling on both brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L in order to examine the mechanisms that influence the progression of malignant melanoma to a brain-metastatic phenotype. Two-condition experiment, brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L. Biological replicates: 4 independently grown and harvested cell line passages. Two technical replicate per condition (including dye swap).
2012-11-21 | E-GEOD-23601 | biostudies-arrayexpress
Project description:Mouse QRsP-11 fibrosarcoma cells were injected into the spleens of mice to isolate sub-populations of tumor cells that colonize to the liver. Cells from liver metastatic nodules were established in vitro and subsequently injected intrasplenically for further cycles of selection. After 12 cycles of in vivo selection, the cell subline LV12 was established. Intravenous injection of LV12 cells produced liver metastases than QRsP-11 cells, whereas the incidence of lung metastases was similar to that of QRsP-11 cells. LV12 cells exhibited adhesiveness to liver-derived but not to lung-derived endothelial cells. DNA chip analysis indicated that an amphoterin-induced gene and open reading frame 2 (Amigo2) was overexpressed in LV12 cells. Knockdown of Amigo2 expression by siRNA in LV12 cells attenuated liver endothelial cell adhesion. Ex vivo imaging showed that siRNA-mediated suppression of Amigo2 in luciferase-expressing LV12 cells reduced attachment to liver tissue to the same level as that observed with QRsP-11 cells. Moreover, Amigo2-knockdown by siRNA inhibited liver metastasis. Amigo2 expression in human cancer cells was higher in liver metastatic lesions than in primary lesions of colon and gastric cancer specimens. These data indicated that Amigo2 is involved in tumor cell adhesion to liver endothelial cells and formation of liver metastases.
2017-03-27 | GSE88923 | GEO
Project description:Clear cell renal cell carcinoma (ccRCC) initiated from the renal epithelium is the most prevalent histological type of adult kidney cancers. Dissecting intratumoral heterogeneity (ITH) of ccRCC has leveraged to extend our knowledge on how primary tumors harboring driver mutations evolve and spread to other sites. The cellular fractions within and across the primary (pRCC) and metastatic RCC (mRCC) are heterogeneous in both their genetic and biological features determining the variability in clinical aggressiveness and sensitivity to the therapy. To achieve sustainable therapeutic benefit with targeted agents in mRCC, the effective target should focus on signaling pathways that are related to driver mutations occurred early in the clonal evolution of the disease and thus should be common to primary tumor and metastatic sites. Considering that extensive genetic heterogeneity may result in drug response variability among patients and treatment resistance, the tailored strategies for metastatic RCC is urgently needed. Here, we analyze single-cell RNA-seq (scRNA-seq) data from a matched primary RCC (pRCC) and lung metastasis (mRCC) to dissect ITH at the highest resolution to date with the objective of discovering the better therapeutic regimen. In order to identify successful clonal propagation from patient to PDX samples and understand pathogenesis from primary to metastatic RCC, we performed whole-exome sequencing (WES, n=4) and matched aCGH (n=4) on bulk tumor samples. And we utilized single-cell RNA sequencing (scRNA-seq) to model and dissect functional heterogeneity acroass primary and metastatic RCC tumors. We checked whether of capturing live one cell, not more cells, in microfluidics by fluorescent microscopic observation. To construct RNA sequencing libraries, we performed further quality controls including adequate quantities and qualities of amplified transcriptomes respectively from single cells. Tumor cells from the parental mRCC (n=34), PDX-mRCC (n=36) and PDX-pRCC (n=46) were finally analyzed in this study after filtering out poor quality cells.
2015-09-18 | E-GEOD-73119 | biostudies-arrayexpress
Project description:Testicular cancer is the most common solid malignancy in young men. Given the many histological classifications of testicular tumours, seminoma is one of the most treatable cancers. The survival rate in early-stage disease was more than 90%. Thus, seminoma at the cellular and molecular levels, especially at the single-cell level, is worth studying. We performed a single-cell RNA sequencing (scRNA-seq) study on a patient who was diagnosed with testicular seminoma with lymph node metastasis. This study presented tumour tissue, PBMC, pelvic and renal hilus lymph node in a total of 18,206 high-quality single-cell transcriptome information. The characteristics of metastatic cell lineage were revealed by the comparison between different tumour cell subtypes at the scRNA level. A single-cell map of testicular seminoma with lymph node metastasis was constructed by scRNA-seq. We discovered the gene expression characteristics of the tumour cells in testicular seminoma, especially metastatic tumour cells. KRT8 and KRT18 were commonly expressed in the three tumour cell subtypes. However, TCF7L1, SCG3 and SV2C were the specifically expressed genes of tumour cell subtypes in primary tumour sites. Some molecular markers specifically expressed by the metastatic cell lineage, such as POU5F1, were identified. We revealed the molecular characteristics of testicular seminoma at the single-cell level, especially the metastatic tumour cells. This study could provide new insights into the diagnosis and treatment of testicular seminoma.
2022-03-25 | GSE197778 | GEO
Project description:Clear cell renal cell carcinoma (ccRCC) initiated from the renal epithelium is the most prevalent histological type of adult kidney cancers. Dissecting intratumoral heterogeneity (ITH) of ccRCC has leveraged to extend our knowledge on how primary tumors harboring driver mutations evolve and spread to other sites. The cellular fractions within and across the primary (pRCC) and metastatic RCC (mRCC) are heterogeneous in both their genetic and biological features determining the variability in clinical aggressiveness and sensitivity to the therapy. To achieve sustainable therapeutic benefit with targeted agents in mRCC, the effective target should focus on signaling pathways that are related to driver mutations occurred early in the clonal evolution of the disease and thus should be common to primary tumor and metastatic sites. Considering that extensive genetic heterogeneity may result in drug response variability among patients and treatment resistance, the tailored strategies for metastatic RCC is urgently needed. Here, we analyze single-cell RNA-seq (scRNA-seq) data from a matched primary RCC (pRCC) and lung metastasis (mRCC) to dissect ITH at the highest resolution to date with the objective of discovering the better therapeutic regimen. In order to identify successful clonal propagation from patient to PDX samples and understand pathogenesis from primary to metastatic RCC, we performed whole-exome sequencing (WES, n=4) and matched aCGH (n=4) on bulk tumor samples. And we utilized single-cell RNA sequencing (scRNA-seq) to model and dissect functional heterogeneity acroass primary and metastatic RCC tumors. We checked whether of capturing live one cell, not more cells, in microfluidics by fluorescent microscopic observation. To construct RNA sequencing libraries, we performed further quality controls including adequate quantities and qualities of amplified transcriptomes respectively from single cells. Tumor cells from the parental mRCC (n=34), PDX-mRCC (n=36) and PDX-pRCC (n=46) were finally analyzed in this study after filtering out poor quality cells.
2015-09-18 | E-GEOD-73121 | biostudies-arrayexpress
Project description:Cerebral metastases occur in a majority of metastatic melanoma patients and are a major cause of mortality. Despite this, there is a poor understanding of the molecules/pathways that lead to the brain-metastatic phenotype. Studies designed to address this deficiency and test novel therapeutic approaches have until recently been slowed by an absence of preclinical models of spontaneous CNS metastatic melanoma disease. To address this, we isolated two variants of the human melanoma cell line WM239 (named 131/4-5B1 and 131/4-5B2) which can metastasize spontaneously to brain parenchyma from an orthotopic primary transplant. We have performed gene expression profiling on both brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L in order to examine the mechanisms that influence the progression of malignant melanoma to a brain-metastatic phenotype.
2012-11-21 | GSE23601 | GEO
Project description:A prediction of peritoneal recurrence is of significance using metastasis-related biomarker. This work describes a combined analysis of proteome and transcriptome data for biomarker discovery in highly metastatic cell line. We used nano-flow liquid chromatography (LC) linear ion trap time-of-flight mass spectrometry (LIT-TOF MS) and cDNA microarray to identify specific protein differentially expressed between a highly metastatic stomach cancer cell line MKN-45-P and its parental cell line MKN-45. In total, 240 proteins were found to be expressed between the two cell lines. Of these, 75 proteins (31%) and 49 proteins (20%) were only identified from MKN-45-P and MKN-45 respectively. An mRNA expression of 1533 genes was up-regulated in MKN-45-P compared with MKN-45. No close correlation was found between proteomic and transcriptomic analysis. Interestingly, 4 of 240 proteins (1.6%) were involved in the up-regulated mRNA expression. Comparison analysis of gene expression between highly metastatic gastric cancer cell line MKN-45-P and its parental cell line MKN-45.
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Project description:Distinct tumor architectures for metastatic colonization of the brain [scRNA-seq]
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