Systems BiologyMichael G. Katze Springer Science & Business Media, 04.01.2013 - 263 Seiten First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologies—oligonucleotide microarrays, mass spectrometry, and next-generation sequencing—and the analysis of this data through sophisticated mathematical algorithms. It is perhaps the use of mathematics, to integrate abundant and diverse types of data and to generate models of interconnected molecular networks, that best characterizes systems biology. |
Inhalt
| 1 | |
247 Studying Salmonellae and Yersiniae HostPathogen Interactions Using Integrated Omics and Modeling | 20 |
257 ChIPSeq and the Complexity of Bacterial Transcriptional Regulation | 43 |
248 The Role and Contributions of Systems Biology to the NonHuman Primate Model of Influenza Pathogenesis and Vaccinology | 69 |
255 Omics Investigations of HIV and SIV Pathogenesis and Innate Immunity | 86 |
250 Systems Biology of Vaccination in the Elderly | 117 |
251 Systems Biology Analyses to Define Host Responses to HCV Infection and Therapy | 143 |
252 Systems Biology Approach for New Target and Biomarker Identification | 169 |
249 Insights into Proteomic Immune Cell Signaling and Communication via DataDriven Modeling | 200 |
260 Critical Dynamics in HostPathogen Systems | 235 |
| 260 | |
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Acad Sci U S A activation analysis antibody antigen antiviral apoptosis associated bacterial binding sites Biol biomarkers blood CD4+ CD8+ T cells cellular ChIP-Seq clinical complex correlates cytokine data set data-driven defined dendritic cells disease dynamics efficacy elderly experimental first function gene expression genetic genome genome-wide HCV infection hepatitis C virus high-throughput host response human identified identify immune cell immune system Immunol induced inflammatory influence integrated interactions interferon Katze MG lac operon liver macaques macrophages mechanisms metabolic microarray module molecular Nat Rev Natl Acad Sci natural hosts omics operon pathogen pathways patients phenotype PLoS predict progressors protein proteomic Pulendran receptor regulation regulatory replication rhesus macaques Salmonella sequencing signaling signature significant specific studies subsets systems approaches systems biology systems biology approach target therapy tissue transcription factor transcriptome vaccinology viral Virol viruses Yersinia