TargetGeneReg 2.0 : a comprehensive web-atlas for p53, p63, and cell cycle-dependent gene regulation
© The Author(s) 2022. Published by Oxford University Press on behalf of NAR Cancer..
In recent years, our web-atlas at www.TargetGeneReg.org has enabled many researchers to uncover new biological insights and to identify novel regulatory mechanisms that affect p53 and the cell cycle - signaling pathways that are frequently dysregulated in diseases like cancer. Here, we provide a substantial upgrade of the database that comprises an extension to include non-coding genes and the transcription factors ΔNp63 and RFX7. TargetGeneReg 2.0 combines gene expression profiling and transcription factor DNA binding data to determine, for each gene, the response to p53, ΔNp63, and cell cycle signaling. It can be used to dissect common, cell type and treatment-specific effects, identify the most promising candidates, and validate findings. We demonstrate the increased power and more intuitive layout of the resource using realistic examples.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:4 |
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Enthalten in: |
NAR cancer - 4(2022), 1 vom: 25. März, Seite zcac009 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Fischer, Martin [VerfasserIn] |
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Links: |
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Themen: |
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Anmerkungen: |
Date Revised 11.10.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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doi: |
10.1093/narcan/zcac009 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM338808582 |
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520 | |a In recent years, our web-atlas at www.TargetGeneReg.org has enabled many researchers to uncover new biological insights and to identify novel regulatory mechanisms that affect p53 and the cell cycle - signaling pathways that are frequently dysregulated in diseases like cancer. Here, we provide a substantial upgrade of the database that comprises an extension to include non-coding genes and the transcription factors ΔNp63 and RFX7. TargetGeneReg 2.0 combines gene expression profiling and transcription factor DNA binding data to determine, for each gene, the response to p53, ΔNp63, and cell cycle signaling. It can be used to dissect common, cell type and treatment-specific effects, identify the most promising candidates, and validate findings. We demonstrate the increased power and more intuitive layout of the resource using realistic examples | ||
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700 | 1 | |a Riege, Konstantin |e verfasserin |4 aut | |
700 | 1 | |a DeCaprio, James A |e verfasserin |4 aut | |
700 | 1 | |a Hoffmann, Steve |e verfasserin |4 aut | |
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