New Frontiers of Network Analysis in Systems Biology
The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.
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Chapter 2 Cell Fate Regulatory Networks
Chapter 3 Noise in Regulatory Networks
Chapter 4 Generalised Modelling in Systems Biology
Chapter 5 Relative Quantification Mass Spectrometry Using iTRAQ Isobaric Tags
Chapter 6 Deciphering Protein Complexes and Protein Interaction Networks for Stem Cell Pluripotency
Chapter 7 Omics Era in Stem Cell Research Data Integration of Multiregulatory Layers
Chapter 8 High Throughput Affinity Purification and Mass Spectrometry to Determine Protein Complex Interactions
Chapter 9 Network Pharmacology to Aid the Drug Discovery Process
Chapter 10 What Can Networks Do for You?
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Acad Sci USA affinity purification algorithms analysis antibody AP/MS approach bifurcation binding Bioinformatics Biol biological cell fate cellular ChIP-seq chromatin computational correlations database datasets differentiation DNA methylation drug dynamics embryonic stem cells epigenetic ESCs example experimental expression levels expression profiles feedback loop fluctuations function gene expression gene regulatory networks generalised modelling genome genome-wide high-throughput histone human identified interactome Ma’ayan mammalian mapping mass spectrometry methods methylation microarray microRNA modules molecular molecules mouse mRNA multiple Nanog Nanog interactome Natl Acad Sci noise Nucleic Acids Res Oct4 osteoblasts parameters pathways peptide phenotypes pluripotent stem cells populations predict Proc Natl Acad promoter protein complexes protein interaction networks protein-protein interactions proteomics quantitative real time PCR regulatory networks RNA-seq samples self-renewal sequencing signal single cell Sox2 specific Springer Science+Business Media stable steady stochastic structure studies subunits systems biology tags target transcription factors variability Wang Zhang