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1. Full Text Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
by Readhead, Ben and Haure-Mirande, Jean-Vianney and Funk, Cory C and Richards, Matthew A and Shannon, Paul and Haroutunian, Vahram and Sano, Mary and Liang, Winnie S and Beckmann, Noam D and Price, Nathan D and Reiman, Eric M and Schadt, Eric E and Ehrlich, Michelle E and Gandy, Sam and Dudley, Joel T
Neuron (Cambridge, Mass.), ISSN 0896-6273, 07/2018, Volume 99, Issue 1, pp. 64 - 82.e7
systems biology | Roseolovirus | integrative genomics | human herpesvirus | multiscale networks | HHV-6B | HHV-7 | HHV-6A | network biology | Alzheimer's disease | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Amyloid Precursor Protein Secretases - genetics | Encephalitis, Viral - genetics | Encephalitis, Viral - virology | Genomics | Humans | Brain - virology | Gene Expression Profiling | Aspartic Acid Endopeptidases - genetics | Gene Regulatory Networks | Herpesvirus 7, Human | Case-Control Studies | Herpesvirus 6, Human | Viral Load | Alzheimer Disease - pathology | Brain - metabolism | Microbiota | Monomeric Clathrin Assembly Proteins - genetics | Tumor Suppressor Proteins - genetics | Amyloid beta-Protein Precursor - metabolism | Encephalitis, Viral - metabolism | Nuclear Proteins - genetics | Roseolovirus Infections - pathology | Clusterin - genetics | Roseolovirus Infections - genetics | Presenilin-1 - genetics | Mice, Transgenic | Roseolovirus Infections - metabolism | Mice, Knockout | Alzheimer Disease - virology | Animals | Adaptor Proteins, Signal Transducing - genetics | Alzheimer Disease - metabolism | Proteomics | Brain - pathology | Roseolovirus Infections - virology | Encephalitis, Viral - pathology | Mice | MicroRNAs - genetics | Alzheimer Disease - genetics | Cohort Studies | Brain | Medical colleges | Medical research | Genetic research | Medicine, Experimental | Development and progression | b-Site APP cleaving enzyme 1 | Neuropathology | Herpes simplex | Viruses | Gene expression | Neuromodulation | Protein turnover | Proteins | Brain research | Neurodegeneration | Autopsy | Data collection
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2. Full Text Network analyses identify liver-specific targets for treating liver diseases
by Lee, Sunjae and Zhang, Cheng and Liu, Zhengtao and Klevstig, Martina and Mukhopadhyay, Bani and Bergentall, Mattias and Cinar, Resat and Ståhlman, Marcus and Sikanic, Natasha and Park, Joshua K and Deshmukh, Sumit and Harzandi, Azadeh M and Kuijpers, Tim and Grøtli, Morten and Elsässer, Simon J and Piening, Brian D and Snyder, Michael and Smith, Ulf and Nielsen, Jens and Bäckhed, Freik and Kunos, George and Uhlen, Mathias and Boren, Jan and Mardinoglu, Adil and Science for Life Laboratory, SciLifeLab and KTH and Centra
Molecular systems biology, ISSN 1744-4292, 08/2017, Volume 13, Issue 8, pp. 938 - n/a
Journal Article | HCC | NAFLD | co‐regulation | metabolism | co‐expression | co-expression | co-regulation | Life Sciences & Biomedicine | Biochemistry & Molecular Biology | Science & Technology | Fatty Acid Synthase, Type I - genetics | Liver Neoplasms - genetics | Non-alcoholic Fatty Liver Disease - genetics | Humans | Cells, Cultured | Gene Expression Regulation | Liver Neoplasms - drug therapy | Gene Expression Profiling | Gene Regulatory Networks - drug effects | Molecular Targeted Therapy | Organ Specificity | Liver - chemistry | Hep G2 Cells | Non-alcoholic Fatty Liver Disease - drug therapy | Protein Interaction Maps | Systems Biology - methods | Animals | Carcinoma, Hepatocellular - drug therapy | Sequence Analysis, RNA | Liver - drug effects | Carcinoma, Hepatocellular - genetics | K562 Cells | Mice | Biotechnology | Target recognition | Pathogenesis | Liver | Genes | Central nervous system | Pyruvic acid | Hepatocellular carcinoma | Drug development | Tissues | Human tissues | Liver cancer | Cell growth | Fatty liver | Rodents | Inhibition | Lipogenesis | Liver diseases | Pyruvate kinase | Blood cells | Subtilisin | Tumor cell lines | Gene expression | Fatty acids | Fatty-acid synthase | Diseases | Phospholipase | Side effects | Kexin | Hepatocytes | Predictions | Cancer | Index Medicus | Medical Biotechnology | Medical and Health Sciences | Medicin och hälsovetenskap | Medicinsk bioteknologi
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3. Full Text Integrative network analysis reveals molecular mechanisms of blood pressure regulation
by Huan, Tianxiao and Meng, Qingying and Saleh, Mohamed A and Norlander, Allison E and Joehanes, Roby and Zhu, Jun and Chen, Brian H and Zhang, Bin and Johnson, Andrew D and Ying, Saixia and Courchesne, Paul and Raghavachari, Nalini and Wang, Richard and Liu, Poching and O'Donnell, Christopher J and Vasan, Ramachandran and Munson, Peter J and Madhur, Meena S and Harrison, David G and Yang, Xia and Levy, Daniel and Int Consortium Blood Pressure GWAS and International Consortium for Blood Pressure GWAS (ICBP) and The International Consortium for Blood Pressure GWAS (ICBP)
Molecular systems biology, ISSN 1744-4292, 04/2015, Volume 11, Issue 4, pp. 1 - n/a
systems biology | blood pressure | coexpression network | hypertension | gene expression | Life Sciences & Biomedicine | Biochemistry & Molecular Biology | Science & Technology | Blood Pressure - genetics | Humans | Middle Aged | Transcriptome | Male | Intracellular Signaling Peptides and Proteins - metabolism | Genetic Loci | Gene Regulatory Networks | RNA, Messenger - metabolism | Systems Biology | Young Adult | Adult | Female | Protein Interaction Domains and Motifs | Hypertension - genetics | Intracellular Signaling Peptides and Proteins - genetics | Disease Models, Animal | Body Mass Index | Genome-Wide Association Study | Angiotensin II - metabolism | RNA, Messenger - genetics | Linear Models | Mice, Knockout | Membrane Proteins | Animals | Sequence Analysis, RNA | Aged | Mice | Polymorphism, Single Nucleotide | Cohort Studies | Hypertension | Heart | Substance abuse treatment | Target recognition | Genes | Modules | Genomics | Molecular interactions | Cardiovascular disease | Genomes | Single-nucleotide polymorphism | Gene expression | Proteins | Studies | Infusion | Molecular modelling | Network analysis | Angiotensin | Biomarkers | Blood pressure | Angiotensin II | Index Medicus
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4. Full Text Testing moderation in network meta‐analysis with individual participant data
by Dagne, Getachew A and Brown, C. Hendricks and Howe, George and Kellam, Sheppard G and Liu, Lei
Statistics in medicine, ISSN 0277-6715, 07/2016, Volume 35, Issue 15, pp. 2485 - 2502
statistical power | participant level data | meta‐analysis | network meta‐analysis | integrative data analysis | moderation | Integrative data analysis | Participant level data | Network meta-analysis | Moderation | Statistical power | Meta-analysis | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Data Interpretation, Statistical | Network Meta-Analysis | Research Design | Humans | Usage | Analysis | Information management | Intervention | Clinical trials | Comparability | Index Medicus | meta-analysis | network meta-analysis
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5. Full Text Quantitative analysis of protein interaction network dynamics in yeast
by Celaj, Albi and Schlecht, Ulrich and Smith, Justin D and Xu, Weihong and Suresh, Sundari and Miranda, Molly and Aparicio, Ana Maria and Proctor, Michael and Davis, Ronald W and Roth, Frederick P and St.Onge, Robert P
Molecular systems biology, ISSN 1744-4292, 07/2017, Volume 13, Issue 7, pp. 1 - n/a
environmental response | protein–protein interactions | protein complementation assay | network dynamics | mRNA expression | Environmental response | Network dynamics | MRNA expression | Protein complementation assay | Protein-protein interactions | Life Sciences & Biomedicine | Biochemistry & Molecular Biology | Science & Technology | Peptide Hydrolases - genetics | Saccharomyces cerevisiae - genetics | RNA, Messenger - genetics | Gene Expression Profiling | Saccharomyces cerevisiae Proteins - genetics | RNA, Messenger - metabolism | DNA Barcoding, Taxonomic | Systems Biology | Peptide Hydrolases - chemistry | Protein Interaction Maps | RNA, Fungal - metabolism | Saccharomyces cerevisiae - metabolism | Protein Interaction Mapping - methods | Models, Biological | Computer Simulation | Saccharomyces cerevisiae Proteins - metabolism | RNA, Fungal - genetics | Peptide Hydrolases - metabolism | Saccharomyces cerevisiae Proteins - chemistry | Multiplexing | Baking yeast | Yeast | Ethanol | Exploration | Abundance | mRNA | Glucose | Assaying | Proteins | Dynamic tests | Cellular communication | Dynamics | Environment | Protein interaction | Deoxyribonucleic acid--DNA | Carbon sources | Quantitative analysis | Index Medicus
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6. Full Text Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data
by Yan, Jingwen and Risacher, Shannon L and Shen, Li and Saykin, Andrew J
Briefings in bioinformatics, ISSN 1467-5463, 11/2018, Volume 19, Issue 6, pp. 1370 - 1381
Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Biochemical Research Methods | Science & Technology | Mathematical & Computational Biology | Data collection | Biology | Genomes | Proteomes | Gene expression | Index Medicus
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