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Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer
We present an “upstream analysis” strategy for causal analysis of multiple “-omics” data. It analyzes promoters using the TRANSFAC database, combines it with an analysis of the upstream signal transduction pathways and identifies master regulators as potential drug targets for a pathological process...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988513/ https://www.ncbi.nlm.nih.gov/pubmed/29900117 http://dx.doi.org/10.1016/j.euprot.2016.09.002 |
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author | Kel, Alexander E. Stegmaier, Philip Valeev, Tagir Koschmann, Jeannette Poroikov, Vladimir Kel-Margoulis, Olga V. Wingender, Edgar |
author_facet | Kel, Alexander E. Stegmaier, Philip Valeev, Tagir Koschmann, Jeannette Poroikov, Vladimir Kel-Margoulis, Olga V. Wingender, Edgar |
author_sort | Kel, Alexander E. |
collection | PubMed |
description | We present an “upstream analysis” strategy for causal analysis of multiple “-omics” data. It analyzes promoters using the TRANSFAC database, combines it with an analysis of the upstream signal transduction pathways and identifies master regulators as potential drug targets for a pathological process. We applied this approach to a complex multi-omics data set that contains transcriptomics, proteomics and epigenomics data. We identified the following potential drug targets against induced resistance of cancer cells towards chemotherapy by methotrexate (MTX): TGFalpha, IGFBP7, alpha9-integrin, and the following chemical compounds: zardaverine and divalproex as well as human metabolites such as nicotinamide N-oxide. |
format | Online Article Text |
id | pubmed-5988513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59885132018-06-13 Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer Kel, Alexander E. Stegmaier, Philip Valeev, Tagir Koschmann, Jeannette Poroikov, Vladimir Kel-Margoulis, Olga V. Wingender, Edgar EuPA Open Proteom Special Section: Contributions from PATHPROT, the Annual International Forum for Pathway Analysis in Proteomics (Oeiras, Portugal) We present an “upstream analysis” strategy for causal analysis of multiple “-omics” data. It analyzes promoters using the TRANSFAC database, combines it with an analysis of the upstream signal transduction pathways and identifies master regulators as potential drug targets for a pathological process. We applied this approach to a complex multi-omics data set that contains transcriptomics, proteomics and epigenomics data. We identified the following potential drug targets against induced resistance of cancer cells towards chemotherapy by methotrexate (MTX): TGFalpha, IGFBP7, alpha9-integrin, and the following chemical compounds: zardaverine and divalproex as well as human metabolites such as nicotinamide N-oxide. Elsevier 2016-09-09 /pmc/articles/PMC5988513/ /pubmed/29900117 http://dx.doi.org/10.1016/j.euprot.2016.09.002 Text en © 2016 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special Section: Contributions from PATHPROT, the Annual International Forum for Pathway Analysis in Proteomics (Oeiras, Portugal) Kel, Alexander E. Stegmaier, Philip Valeev, Tagir Koschmann, Jeannette Poroikov, Vladimir Kel-Margoulis, Olga V. Wingender, Edgar Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title | Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title_full | Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title_fullStr | Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title_full_unstemmed | Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title_short | Multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
title_sort | multi-omics “upstream analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer |
topic | Special Section: Contributions from PATHPROT, the Annual International Forum for Pathway Analysis in Proteomics (Oeiras, Portugal) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988513/ https://www.ncbi.nlm.nih.gov/pubmed/29900117 http://dx.doi.org/10.1016/j.euprot.2016.09.002 |
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