Supplementary Data S1.xlsx (139.97 kB)
Dataset for: Identification of cancer-related potential biomarkers based on lncRNA-pseudogene-mRNA competitive networks
dataset
posted on 2018-05-07, 11:53 authored by Yan Xu, Cheng Wu, Yunzhen Wei, Yinling Zhu, Kun Li, Yanjiao Zhu, Yichuan Zhao, Zhiqiang ChangAccumulating evidences indicate that mRNAs and ncRNAs act as competitive endogenous RNAs and play a key role in tumorigenesis. However, the complex competitive relationship among genes remains unknown. In our study, the lncRNAs, pseudogenes and mRNAs that compete with the common miRNAs are defined as lncRNA-pseudogene-mRNA competitive triples. We find some candidate ceRNAs, modules and triples are related with cancers and can significantly divide patients into high-risk and low-risk groups, and thus they may serve as potential cancer biomarkers. In total, the work systematically analyzes the association between competitive triples and cancer, which will provide a reference for deep understanding of cancer progression.
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Categories
- Animal physiology - biophysics
- Human biophysics
- Synthetic biology
- Biochemistry and cell biology not elsewhere classified
- Plant biology not elsewhere classified
- Virology
- Receptors and membrane biology
- Bioinformatics and computational biology not elsewhere classified
- Immunology not elsewhere classified
- Neurosciences not elsewhere classified
- Cell development, proliferation and death
- Plant cell and molecular biology
- Animal cell and molecular biology
- Evolutionary biology not elsewhere classified
- Signal transduction
- Cancer cell biology
- Systems biology
- Structural biology (incl. macromolecular modelling)
Keywords
competitive triplescancerbiomarkersBiophysicsSynthetic BiologyBiochemistryPlant BiologyVirologyReceptors and Membrane BiologyComputational BiologyImmunologyNeuroscienceCell Development, Proliferation and DeathMolecular BiologyEvolutionary BiologySignal TransductionCancer Cell BiologySystems BiologyStructural Biology
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