Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA301050 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2927150.fastq.gz | Fastqsanger.gz | |||
| SRR2927160.fastq.gz | Fastqsanger.gz | |||
| SRR2927170.fastq.gz | Fastqsanger.gz | |||
| SRR2927180.fastq.gz | Fastqsanger.gz | |||
| SRR2927190.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 96 |
Similar Datasets
Project description:An orthotopic lung xenograft model was used to identify differential expression of lung CTCs in comparison to primary lung tumor cells.
2017-03-02 | GSE74639 | GEO
Project description:Circulating Tumor Cells (CTCs) are shed from primary tumors into the bloodstream, mediating the hematogenous spread of cancer to distant organs. Using a pancreatic cancer mouse model, we applied a microfluidic device to isolate CTCs independently of tumor epitopes, subjecting these to single cell RNA-sequencing. This study was conducted to determine the heterogeneity of pancreatic CTCs and to compare these CTCs to matched primary tumors, cell line controls (NB508 cancer cell line and MEF non-cancer cell line), primary tumor single cells, and normal leukocytes/WBCs. We profiled RNA from 75 single cells circulating in mouse blood enriched for circulating tumor cells from 5 mice, 12 single cells from a mouse embryonic fibroblast cell line, 16 single cells from the nb508 mouse pancreatic cancer cell line, 12 single mouse white blood cells, 18 single GFP lineage-traced circulating tumor cells from two mice, 20 single GFP lineage-traced cancer cells from the primary pancreatic tumor of a mouse, and 34 dilutions to 10 or 100 picograms of total RNA from mouse primary pancreatic tumors from 4 mice.
2014-09-22 | E-GEOD-51372 | biostudies-arrayexpress
Project description:Single cells were isolated from the main scenarios during tumor dissemination of a highly metastatic Patient-Derived Xenograft model (Panc-265) in order to discover potential therapeutic targets against the metastatic settings of PDAC. Primary tumor (n=37), liver metastasis (n=23) cells and circulating tumor cells (CTCs, n=10, in bloodstream) were subjected of single-cell RNAseq. Single-cell RNA sequencing analysis revealed that CTCs clustered separately from their matched primary and metastatic tumors and were characterized by low expression of ECM associated genes, high expression of cell cycle genes, a metabolic switch to oxidative phosphorylation and high expression of genes involved in ribosome biogenesis.
2020-07-24 | GSE114704 | GEO
Project description:Circulating Tumor Cells (CTCs) are shed from primary tumors into the bloodstream, mediating the hematogenous spread of cancer to distant organs. Using a pancreatic cancer mouse model, we applied a microfluidic device to isolate CTCs independently of tumor epitopes, subjecting these to single cell RNA-sequencing. This study was conducted to determine the heterogeneity of pancreatic CTCs and to compare these CTCs to matched primary tumors, cell line controls (NB508 cancer cell line and MEF non-cancer cell line), primary tumor single cells, and normal leukocytes/WBCs.
2014-09-22 | GSE51372 | GEO
Project description:CTCs in cancer patients are thought to be responsible for metastasis. Currently, there is no ex vivo model that can isolate this group of cells. We have developed an ex vivo 4D lung cancer model that forms perfusable tumor nodules and form CTCs. Gene array analyses show 2504 differentially expressed genes when comparing CTCs from the 4D model seeded with A549 cells to the same cells grown on a petri dish (2D). We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, human lung cancer cell line, grown on petri dish (2D) and same cells circulating as tumor cells in our ex vivo model (4D/CTC).
2015-03-12 | E-GEOD-50991 | biostudies-arrayexpress
Project description:Recent technological advances have made it possible to detect circulating breast cancer cells as precursors of distant metastasis and as prognosis marker in nonmetastatic breast cancer patients. Association of circulating tumor cells (CTCs) with molecular alteration in the primary tumor is not widely explored. We reported differential profile of altered genome, copy number alteration and copy-neutral loss of heterogeneity in 14 primary tumors when comparing patients with CTCs+ versus CTCs- using single-nucleotide polymorphism array. The most prevalent copy number alteration in CTCs+ patients was at 8q and particularly at the cytoband 8q24 (MYC loci). As the role of MYC in the process of tumor cell invasion and migration is controversial, we further validated in a larger series of patients whether altered MYC (amplification or gained) in primary tumors was correlated with the presence of CTCs in peripheral blood (as a surrogate of micrometastais). No correlation between MYC alteration and presence of CTCs was observed, providing clinical support to the recent data that MYC suppresses cancer metastasis or at least suggesting that MYC alteration could be contributory but insufficient for the generation of CTCs. This molecular association needs to be further characterized in preclinical model and especially clinically. We analyzed CN and LOH of CTC+ and CTC-
2014-11-19 | E-GEOD-43149 | biostudies-arrayexpress
Project description:Large numbers of cells are generally required for quantitative global proteome profiling due to the significant surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations (e.g., circulating tumor cells (CTCs)). Here we report a surfactant-assisted one-pot sample preparation coupled with mass spectrometry (MS) termed SOP-MS for label-free global single-cell proteomics. SOP-MS capitalizes on the combination of a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, and hydrophobic surface-based low-bind tubes or multi-well plates for ‘all-in-one’ one-pot sample preparation. This ‘all-in-one’ method including elimination of all sample transfer steps maximally reduces surface adsorption losses for effective processing of single cells, thus significantly improving detection sensitivity for single-cell proteomics. This method allows convenient label-free quantification of hundreds of proteins from single human cells and ~1200 proteins from small tissue sections (close to ~20 cells). When applied to a patient CTC-derived xenograft (PCDX) model at the single-cell resolution, SOP-MS can reveal distinct protein signatures between primary tumor cells and early metastatic lung cells, which are related to the selection pressure of anti-tumor immunity during breast cancer metastasis. The approach paves the way for routine, precise, quantitative single-cell proteomics.
2021-03-11 | PXD022827 | panorama
Project description:We have developed a 4D lung cancer model that forms perfusable tumor nodules. We determined if the model could be modified to mimic metastasis. We modified the 4D lung cancer model by seeding H1299 cells via the trachea only to the left lobes of the acellular lung matrix. The model was modified so that the tumor cells can reach the right lobes of the acellular lung matrix only through the pulmonary artery as circulating tumor cells (CTC). We determined the gene expressions of the primary tumor, CTCs, and metastatic lesions using the Human OneArray chip. All cell lines formed a primary tumor in the left lobe of the ex vivo 4D lung cancer model. The CTCs were identified in the media and increased over time. The CTC gene signature predicted poor survival in lung cancer patients. A unique set of genes were significantly expressed in CTC compared to the primary tumor and metastatic lesion. The 4D lung cancer model can isolate tumor cells in three phases of tumor progression. This 4D lung cancer model may mimic the biology of lung cancer metastasis and may be used to determine its mechanism and potential therapy in the future.
2015-03-12 | GSE58355 | GEO
Project description:Large numbers of cells are generally required for quantitative global proteome profiling due to the significant surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations, such as circulating tumor cells (CTCs) and early metastatic cells. Herein we report a facile mass spectrometry (MS)-based single-cell proteomics method that capitalizes on a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, for greatly reducing the surface adsorption losses by ~20-fold for effective single-tube processing of single cells, thus significantly improving detection sensitivity for single-cell proteomic analysis. With standard MS platforms, the method allows for the first time precise, label-free, reliable quantification of hundreds of proteins from single human cells in a simple, convenient manner. When applied to a patient CTC-derived xenograft (PCDX) model, the method can reveal distinct protein signatures between primary tumor cells and early metastases to the lungs at the single-cell resolution. The approach paves the way for routine, precise quantitative single-cell proteomic analysis.
2021-06-07 | PXD017075 | JPOST Repository
Project description:Circulating tumour cells (CTCs) shed into blood from primary cancers include putative precursors that initiate distal metastases. While these cells are extraordinarily rare, they may identify cellular pathways contributing to the blood-borne dissemination of cancer. Here, we adapted a microfluidic device for efficient capture of CTCs from an endogenous mouse pancreatic cancer model and subjected CTCs to single-molecule RNA sequencing, identifying Wnt2 as enriched in CTCs. Expression of Wnt2 in pancreatic cancer cells suppresses anoikis, enhances anchorage-independent sphere formation, and increases metastatic propensity in vivo. The effect of Wnt2 is correlated with fibronectin upregulation, and it is mediated in part through non-canonical Wnt signaling and suppressed by inhibition of the Map3k7 (Tak1) kinase, an integrator of Wnt, BMP and TGF-beta signaling. In humans, formation of non-adherent tumour spheres by pancreatic cancer cells is associated with upregulation of multiple Wnt genes, and pancreatic CTCs revealed significant enrichment for non-canonical Wnt signaling in 5 of 11 cases. Thus, molecular analysis of CTCs may identify novel therapeutic targets to prevent the distal spread of cancer. Expression profiling of primary tumor, circulating tumor cells and ascites in a mouse model of pancreatic cancer suggested WNT signaling plays a role in pancreatic cancer metastasis. Induction of Wnt2 signaling in mouse pancreatic NB508 cells supported the hypothesis.
2012-08-17 | E-GEOD-40171 | biostudies-arrayexpress