Causal integration of multi‐omics data with prior knowledge to generate mechanistic hypotheses
暂无分享,去创建一个
Aurelien Dugourd | Julio Saez-Rodriguez | Rafael Kramann | Dorte B. Bekker-Jensen | Enio Gjerga | Jesper V. Olsen | Christoph Kuppe | Marco Sciacovelli | Kristina B. Emdal | Jennifer Kranz | Eric. M. J. Bindels | Ana S. H. Costa | Christian Frezza | J. Olsen | J. Sáez-Rodríguez | R. Kramann | Ana S. H. Costa | C. Frezza | C. Kuppe | E. Bindels | M. Sciacovelli | Aurélien Dugourd | Jennifer Kranz | Enio Gjerga | K. B. Emdal
[1] Nils Blüthgen,et al. Classification of gene signatures for their information value and functional redundancy , 2017, npj Systems Biology and Applications.
[2] E. Barillot,et al. Classification of gene signatures for their information value and functional redundancy , 2017, bioRxiv.
[3] Martin Vingron,et al. Variance stabilization applied to microarray data calibration and to the quantification of differential expression , 2002, ISMB.
[4] M. Ivan,et al. HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O2 Sensing , 2001, Science.
[5] R. Rosell,et al. AURKB as a target in non-small cell lung cancer with acquired resistance to anti-EGFR therapy , 2019, Nature Communications.
[6] E. Gottlieb,et al. Analysis of Cell Metabolism Using LC-MS and Isotope Tracers. , 2015, Methods in enzymology.
[7] V. Frouin,et al. Variable selection for generalized canonical correlation analysis. , 2014, Biostatistics.
[8] Laura L. Elo,et al. A systematic evaluation of normalization methods in quantitative label-free proteomics , 2016, Briefings Bioinform..
[9] Daniel C. Zielinski,et al. Recon3D enables a three-dimensional view of gene variation in human metabolism , 2018 .
[10] C. Wykoff,et al. The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis , 1999, Nature.
[11] C. Lindskog,et al. A pathology atlas of the human cancer transcriptome , 2017, Science.
[12] Matthew E. Ritchie,et al. limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.
[13] Chawnshang Chang,et al. Androgen receptor (AR) promotes clear cell renal cell carcinoma (ccRCC) migration and invasion via altering the circHIAT1/miR-195-5p/29a-3p/29c-3p/CDC42 signals. , 2017, Cancer letters.
[14] M. Falasca,et al. Targeting PDK1 for Chemosensitization of Cancer Cells , 2017, Cancers.
[15] Mariano J. Alvarez,et al. Network-based inference of protein activity helps functionalize the genetic landscape of cancer , 2016, Nature Genetics.
[16] Julio Saez-Rodriguez,et al. OmniPath: guidelines and gateway for literature-curated signaling pathway resources , 2016, Nature Methods.
[17] Kim-Anh Lê Cao,et al. DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays , 2019, Bioinform..
[18] C. Olson,et al. Peer review of the biomedical literature. , 1990, The American journal of emergency medicine.
[19] M. Sayed-Ahmed. Role of carnitine in cancer chemotherapy-induced multiple organ toxicity. , 2010, Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society.
[20] A. Viale,et al. Epigenetic expansion of VHL-HIF signal output drives multi-organ metastasis in renal cancer , 2012, Nature Medicine.
[21] S. Leung,et al. STAT1 drives tumor progression in serous papillary endometrial cancer. , 2014, Cancer research.
[22] S. Vanharanta,et al. NF-κB-Dependent Lymphoid Enhancer Co-option Promotes Renal Carcinoma Metastasis. , 2018, Cancer discovery.
[23] Emanuel J. V. Gonçalves,et al. A Landscape of Pharmacogenomic Interactions in Cancer , 2016, Cell.
[24] Angela N. Brooks,et al. A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles , 2017, Cell.
[25] Emanuel J. V. Gonçalves,et al. Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transition , 2016, Nature.
[26] J. Marioni,et al. Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets , 2018, Molecular systems biology.
[27] Michael I. Wilson,et al. Targeting of HIF-α to the von Hippel-Lindau Ubiquitylation Complex by O2-Regulated Prolyl Hydroxylation , 2001, Science.
[28] Nuno A. Fonseca,et al. Transcription Factor Activities Enhance Markers of Drug Sensitivity in Cancer. , 2018, Cancer research.
[29] David Haussler,et al. Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE) , 2013, Bioinform..
[30] Qiu-ming He,et al. Low expression of PDK1 inhibits renal cell carcinoma cell proliferation, migration, invasion and epithelial mesenchymal transition through inhibition of the PI3K-PDK1-Akt pathway. , 2019, Cellular signalling.
[31] Julio Saez-Rodriguez,et al. Footprint-based functional analysis of multiomic data , 2019, Current opinion in systems biology.
[32] Mikhail Chernov,et al. Regulation of c‐myc expression by IFN‐γ through Stat1‐dependent and ‐independent pathways , 2000 .
[33] P. Vinod,et al. Network-based metabolic characterization of renal cell carcinoma , 2020, Scientific Reports.
[34] Hyungwon Choi,et al. Exploiting Interdata Relationships in Next-generation Proteomics Analysis* , 2019, Molecular & Cellular Proteomics.
[35] J. Hengstler,et al. Protein kinase C eta is associated with progression of renal cell carcinoma (RCC). , 2003, Anticancer research.
[36] Mehmet Koyutürk,et al. The KSEA App: a web‐based tool for kinase activity inference from quantitative phosphoproteomics , 2017, Bioinform..
[37] D. Fabbro,et al. Protein kinase C in human renal cell carcinomas: role in invasion and differential isoenzyme expression , 2000, British Journal of Cancer.
[38] Steven J. M. Jones,et al. Comprehensive molecular characterization of clear cell renal cell carcinoma , 2013, Nature.
[39] J. Blay,et al. Adenosine upregulates CXCR4 and enhances the proliferative and migratory responses of human carcinoma cells to CXCL12/SDF‐1α , 2006, International journal of cancer.
[40] P. O’Farrell. Faculty Opinions recommendation of Targeting of HIF-alpha to the von Hippel-Lindau ubiquitylation complex by O2-regulated prolyl hydroxylation. , 2001 .
[41] Damian Szklarczyk,et al. STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data , 2015, Nucleic Acids Res..
[42] Lu Zhang,et al. Adenosine Stimulates the Migration of Human Endothelial Progenitor Cells. Role ofCXCR4 and MicroRNA-150 , 2013, PloS one.
[43] Yutaka Suzuki,et al. Trans-omic Analysis Reveals Selective Responses to Induced and Basal Insulin across Signaling, Transcriptional, and Metabolic Networks , 2018, iScience.
[44] G. Ryffel,et al. HNF4α reduces proliferation of kidney cells and affects genes deregulated in renal cell carcinoma , 2005, Oncogene.
[45] Samuel H Payne,et al. Extracting Pathway-level Signatures from Proteogenomic Data in Breast Cancer Using Independent Component Analysis* , 2019, Molecular & Cellular Proteomics.
[46] J. Leppert,et al. A Protective Role for Androgen Receptor in Clear Cell Renal Cell Carcinoma Based on Mining TCGA Data , 2016, PloS one.
[47] Christian H. Holland,et al. Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data , 2020, Genome Biology.
[48] Joanna Polanska,et al. Ranking metrics in gene set enrichment analysis: do they matter? , 2017, BMC Bioinformatics.
[49] Evan O. Paull,et al. Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer , 2016, Cell.
[50] Bangbei Wan,et al. AURKB: a promising biomarker in clear cell renal cell carcinoma , 2019, PeerJ.
[51] Panuwat Trairatphisan,et al. From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL , 2019, npj Systems Biology and Applications.
[52] Junnian Zheng,et al. Aurora kinases: novel therapy targets in cancers , 2017, Oncotarget.
[53] S. Yeh,et al. The expression and evaluation of androgen receptor in human renal cell carcinoma. , 2014, Urology.
[54] T. Giordano,et al. Follicular cell thyroid neoplasia: insights from genomics and The Cancer Genome Atlas research network , 2016, Current opinion in oncology.
[55] Bertram Klinger,et al. Perturbation-response genes reveal signaling footprints in cancer gene expression , 2016 .