Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-16066E-GEOD-16085E-GEOD-16070E-GEOD-16089E-GEOD-16080E-GEOD-16082
PROVIDER: PRJNA123069 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series:; GSE11440: Role of Caveolin 1, E-Cadherin, Enolase 2 and PKCa on resistance to methotrexate in human HT29 colon cancer cells; GSE16066: Networking of differentially expressed genes in CaCo2 human colon cancer cells resistant to methotrexate; GSE16070: Networking of differentially expressed genes in human MCF7 breast cancer cells resistant to methotrexate; GSE16080: Networking of differentially expressed genes in human MDA-MB-468 breast cancer cells resistant to methotrexate; GSE16082: Networking of differentially expressed genes in human MIA PaCa2 pancreatic cancer cells resistant to methotrexate; GSE16085: Networking of differentially expressed genes in human K562 erythtoblastic leukemia cells resistant to methotrexate; GSE16089: Networking of differentially expressed genes in human Saos-2 osteosarcoma cells resistant to methotrexate Experiment Overall Design: Refer to individual Series
2009-09-11 | E-GEOD-16648 | biostudies-arrayexpress
Project description:Networking of differentially expressed genes in human MDA-MB-468 breast cancer cells resistant to methotrexate
2015-08-06 | E-GEOD-16080 | ExpressionAtlas
Project description:A summary of the work associated to these microarrays is the following: The need for an integrated view of all data obtained from high-throughput technologies gave rise to network analyses. These are especially useful to rationalize phenomena in terms of how external perturbations propagate through the expression of genes. To address this issue in the case of drug resistance, we constructed Biological Association Networks of genes differentially expressed in cell lines resistant to methotrexate (MTX). Seven cell lines representative of different types of cancer including colon cancer (HT29 and Caco2), breast cancer (MCF7 and MDA-MB-468), pancreatic cancer (MIA PaCa-2), erythroblastic leukemia (K562) and osteosarcoma (Saos-2), were used. The differential expression pattern between sensitive and MTX-resistant cells was determined by microarrays covering the whole human genome and analyzed with the GeneSpring GX software package, v.7.3.1. Genes deregulated in common in the two colon cancer cell lines studied, were subject of Biological Association Networks construction. Dikkopf homolog-1 (DKK1) was a clear node of this network, and functional validations of this target using a siRNA showed a chemosensitization toward MTX. Members of the UDP-glucuronosyltransferase 1A (UGT1A) family formed a network of differentially expressed genes in the two breast cancer cell lines studied. siRNA treatment against UGT1A showed also an increase in MTX sensitivity. Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) was a gene overexpressed in common among the pancreatic cancer, leukemia and osteosarcoma cell lines, and siRNA treatment against EEF1A1 produced a chemosensitization toward MTX. Biological Association Networks identified DKK1, UGT1As and EEF1A1 as important gene nodes in MTX-resistance. Treatments using iRNA technology against these three genes show chemosensitization toward MTX. Two cell lines are compared, which are MDA-MB-468 breast cancer cells sensitive to methotrexate and MDA-MB-468 cells resistant to 10e-6M methotrexate. Six samples are provided which correspond to tripicates of each cell line. The sample provided were analyzed using the specific software GeneSpring GX.
2009-09-08 | E-GEOD-16080 | biostudies-arrayexpress
Project description:Networking of differentially expressed genes in human MCF7 breast cancer cells resistant to methotrexate
| PRJNA123095 | ENA
Project description:The MDA-MB-468 triplicate-negative breast cancer cells were treated with 18 nmol/L gamabufotalin (CS-6) or DMSO for 24 h. Then, RNA-seq was performed to explore the differentially expressed genes.
2024-12-01 | GSE190717 | GEO
Project description:In order to identify the microRNAs differentially expressed according to the estrogen receptor status, total RNAs in triplicate from six breast cancer cell lines with different ERalpha status (ER+: T47D, BT-474, MDA-MB-483; ER-: MDA-MD-436, MDA-MB-231, MDA-MB-468) was extracted by using Trizol reagent and used for microarray experiments.
2009-12-11 | E-TABM-596 | biostudies-arrayexpress
Project description:Five Triple Negative Breast Cancer cell lines were exposed to increasing concentration of Paclitaxel untill they acquired resistance. In order to identify changes in gene expression associated with resistance to PTX, we performed gene expression profiling on parental and resistant cell lines. Of ~22000 genes surveyed by microarray analysis, 5.0%, 3.7%, 9.0%, 7.3%, and 5.4% of the genes showed changes in expression of 2-fold or greater (p value < 0.05) in BT20, SUM149, MDA-MB-231, MDA-MB-436 and MDA-MB-468 cell lines, respectively.
2017-02-28 | GSE90564 | GEO
Project description:A summary of the work associated to these microarrays is the following: The need for an integrated view of all data obtained from high-throughput technologies gave rise to network analyses. These are especially useful to rationalize phenomena in terms of how external perturbations propagate through the expression of genes. To address this issue in the case of drug resistance, we constructed Biological Association Networks of genes differentially expressed in cell lines resistant to methotrexate (MTX). Seven cell lines representative of different types of cancer including colon cancer (HT29 and Caco2), breast cancer (MCF7 and MDA-MB-468), pancreatic cancer (MIA PaCa-2), erythroblastic leukemia (K562) and osteosarcoma (Saos-2), were used. The differential expression pattern between sensitive and MTX-resistant cells was determined by microarrays covering the whole human genome and analyzed with the GeneSpring GX software package, v.7.3.1. Genes deregulated in common in the two colon cancer cell lines studied, were subject of Biological Association Networks construction. Dikkopf homolog-1 (DKK1) was a clear node of this network, and functional validations of this target using a siRNA showed a chemosensitization toward MTX. Members of the UDP-glucuronosyltransferase 1A (UGT1A) family formed a network of differentially expressed genes in the two breast cancer cell lines studied. siRNA treatment against UGT1A showed also an increase in MTX sensitivity. Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) was a gene overexpressed in common among the pancreatic cancer, leukemia and osteosarcoma cell lines, and siRNA treatment against EEF1A1 produced a chemosensitization toward MTX. Biological Association Networks identified DKK1, UGT1As and EEF1A1 as important gene nodes in MTX-resistance. Treatments using iRNA technology against these three genes show chemosensitization toward MTX. Two cell lines are compared, which are MCF7 breast cancer cells sensitive to methotrexate and MCF7 cells resistant to 10e-6M methotrexate. Six samples are provided which correspond to tripicates of each cell line. The samples provided were analyzed using the specific software GeneSpring GX.
2009-09-08 | E-GEOD-16070 | biostudies-arrayexpress
Project description:Networking of differentially expressed genes in human MCF7 breast cancer cells resistant to methotrexate
2015-08-06 | E-GEOD-16070 | ExpressionAtlas