Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA148829 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridisation (aCGH). Gastric cancer tumor tissue samples and cell lines vs normal blood samples
2012-11-05 | E-GEOD-33501 | biostudies-arrayexpress
Project description:We performed RNA-seq experiments to identify differentially expressed intergenic transcripts between gastric cancer and normal tissues/cells. Three primary cell culture samples from gastric cancer tissues, three gastric cancer cell lines and two normal tissue samples were used for the experiments.
2013-10-10 | E-GEOD-41476 | biostudies-arrayexpress
Project description:Each total RNA sample is hybridized to two different arrays: Affymetrix U133A (GPL96) and U133B (GPL97). For most of the normal tissue samples there is a renal clear cell carcinoma sample from the same patient. There is no matching tumor sample for normal sample N1. For most of the renal clear cell carcinoma samples there is a corresponding adjacent normal tissue sample from the same patient. There are no matching normal tissue samples for C011 or C032. Keywords = kidney Keywords = renal Keywords = RCC Keywords = carcinoma Keywords = cancer Keywords: parallel sample
2003-11-25 | GSE781 | GEO
Project description:LncRNA and mRNA expression profiling for 7 human gastric cancr samples (3 tumor tissues and 3 tumor lymph node and 1 normal tissue) We have completed the metastasis-related Long Noncoding RNA expression profiling data microarray analysis of the 7 human gastric cancer related samples
2014-02-11 | GSE54835 | GEO
Project description:Genome wide DNA methylation profiling of normal gastric epuithelial cells and gastric cancer cell lines. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 450,000 CpGs. Samples included 2 normal gastric epithelial cells and 14 gastric cancer cells.
2020-08-31 | GSE136244 | GEO
Project description:Solid tumors are complex organs comprising neoplastic cells and stroma, yet cancer cell lines remain widely used to study tumor biology, biomarkers and experimental therapy. Here, we performed a fully integrative analysis of global proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues. We found a significant, systematic difference between cell line and tumor proteomes, with a major contribution from tumor stroma proteomes. Nevertheless, cell lines overall mirrored the proteomic differences observed between tumors and normal tissues, in particular for genetic information processing and metabolic pathways, indicating that cell lines provide a system for the study of the intrinsic molecular programs in cancer cells. Intersection of cell line data with tumor data provided insights into tumor cell specific proteome alterations driven by genomic alterations. Our integration of cell line proteogenomic data with drug sensitivity data highlights the potential of proteomic data in predicting therapeutic response. We identified representative cell lines for the proteomic subtypes of primary tumors, and linked these to drug sensitivity data to identify subtype-specific drug candidates.
2016-12-01 | MSV000080374 | GNPS
Project description:To sum up our results, we managed to isolate a reproducible SP cell fraction of human gastric carcinoma cell lines for the first time. Those cells differed from the rest of the population regarding morphology and biological behaviour. They had the ability to build a population resembling the basic tumor population and therefore performed differenziation and asymmetric cell division. SP cells expressed potential stem cell markers like musashi 1 and Cd133 and also showed a high expression of genes that encode for stem cell properties. The so identified phenotypic and genetic factors showed a variable expression in tumor samples of patient series and might be applicable as prognostic factors in the diagnosis of gastric carcinoma. Aims: The side population (SP) of tumor cell lines shares characteristics with tumor stem cells. In this study we phenotypically and genotypically characterized the SP of gastric cancer cell lines. Methods: The SP was obtained from MKN45- and AGS-gastric cancer cells using Hoechst 33342 staining and fluorescence-activated cell sorting (FACS). SP cells were subsequently studied morphologically (cytology, immunocytochemistry), on the transcriptional level (gene array) and in cell culture (recultivation assays). Genes differentially expressed in the SP cells were finally searched by immunohistochemistry in neoplastic and non-neoplastic gastric tissue from gastric cancer patients. Results: The SP was reproducibly obtained from gastric cancer cell lines. The SP cells were smaller and rounder then non-SP cells. SP cells self-renewed in re-cultivation experiments and differentiated into SP- and non-SP cells. Re-cultivated SP- and non-SP cells showed distinct phenotypes in culture regarding cell shape and colony-formation. SP cells had increased levels of the stem cell markers CD133 and Musashi 1. Transcriptional analyses demonstrated that SP cells express genes that encode for stem cell properties like FZD7, HEY1, SMO and ADAM17. Finally we detected the transcripts of these genes in tissue samples from patients with gastric cancer. Conclusions: Human gastric cancer cell lines enclose a phenotypically and genotypically distinct cell population with tumor stem cell features. Phenotypical characteristics of this distinct cell population are also present in gastric cancer tissue.
2010-12-01 | E-GEOD-20058 | biostudies-arrayexpress
Project description:Aim: To determine the miRNA expression profile of SCLC cell lines vs. normal lung tissue. Keywords: disease state analysis Total RNA isolated from SCLC cell lines H69, HTB-172, HTB-173 and HTB-184 were compared to a mixed RNA sample derived from 6 normal lung tissue samples (fresh surgical material), from 6 tumor-free patients. The same reference sample (normal lung) was used on all 4 microarrays.
2010-07-24 | E-GEOD-8824 | biostudies-arrayexpress
Project description:Transcriptional profiling of circular RNA in stage III gastric cancer patient: Tumour vs. Normal mucosa tissue
2017-12-14 | GSE83521 | GEO
Project description:Quantitative proteome profiling of 72 samples of tumor and normal tissues from pancreatic cancer (PC) patients, tissues from patients with pancreatitis samples and PDX-derived cell lines.
2022-05-20 | PXD025120 | JPOST Repository