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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
Networking of differentially expressed genes in human cancer cells resistant to methotrexate
Elisabet Selga1, Carlota Oleaga, Sara Ramírez
1Department of Biochemistry and Molecular Biology, School of Pharmacy, University of Barcelona, Diagonal Avenue, E-08028 Barcelona, Spain. eliselga@ub.edu.
Background:
The need for an integrated view of data obtained from high-throughput technologies gave rise to network analyses. These are especially useful to rationalize 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).
Methods:
Seven cell lines representative of different types of cancer, including colon cancer (HT29 and Caco2), breast cancer (MCF-7 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 whole human genome microarrays and analyzed with the GeneSpring GX software package. Genes deregulated in common between the different cancer cell lines served to generate biological association networks using the Pathway Architect software.
Results:
Dikkopf homolog-1 (DKK1) is a highly interconnected node in the network generated with genes in common between the two colon cancer cell lines, and functional validations of this target using small interfering RNAs (siRNAs) showed a chemosensitization toward MTX. Members of the UDP-glucuronosyltransferase 1A (UGT1A) family formed a network of genes differentially expressed in the two breast cancer cell lines. siRNA treatment against UGT1A also showed an increase in MTX sensitivity. Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) was overexpressed among the pancreatic cancer, leukemia and osteosarcoma cell lines, and siRNA treatment against EEF1A1 produced a chemosensitization toward MTX.
Conclusions:
Biological association networks identified DKK1, UGT1As and EEF1A1 as important gene nodes in MTX-resistance. Treatments using siRNA technology against these three genes showed chemosensitization toward MTX.
Insights
Network analysis identified key genes, including DKK1, UGT1A, and EEF1A1, involved in methotrexate (MTX) resistance. Targeting these genes with siRNA chemosensitized cancer cells to MTX, offering potential therapeutic strategies.
Area of Science:
- Genomics
- Systems Biology
- Cancer Research
Background:
- High-throughput technologies necessitate integrated data analysis through network approaches.
- Network analyses are crucial for understanding how external factors, like drug treatments, impact gene expression.
- Biological association networks were constructed to investigate gene expression patterns in methotrexate (MTX)-resistant cancer cell lines.
Purpose of the Study:
- To construct and analyze biological association networks of genes differentially expressed in MTX-resistant cell lines.
- To identify key gene nodes associated with MTX resistance across various cancer types.
- To validate the role of identified genes in MTX resistance using functional experiments.
Main Methods:
- Utilized seven diverse cancer cell lines representing colon, breast, pancreatic, leukemia, and osteosarcoma.
- Determined differential gene expression between sensitive and MTX-resistant cells using whole human genome microarrays.
- Generated biological association networks from commonly deregulated genes using Pathway Architect software.
Main Results:
- Dikkopf homolog-1 (DKK1) was identified as a key node in colon cancer cell lines; siRNA targeting DKK1 sensitized cells to MTX.
- UDP-glucuronosyltransferase 1A (UGT1A) family genes formed a network in breast cancer cell lines; siRNA against UGT1A increased MTX sensitivity.
- Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) was overexpressed in pancreatic cancer, leukemia, and osteosarcoma cell lines; siRNA targeting EEF1A1 led to MTX chemosensitization.
Conclusions:
- Biological association networks successfully identified DKK1, UGT1As, and EEF1A1 as critical gene nodes in MTX resistance.
- siRNA-mediated targeting of DKK1, UGT1As, and EEF1A1 demonstrated chemosensitization to MTX, highlighting their therapeutic potential.
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