A network-based analysis of systemic inflammation in humans

By Timothy R. Billiar, D. Camp, George Casella, M. Choudhry, C. Elson, Bradley D. Freeman, R. Gamelli, Celeste Campbell-Finnerty, N. Gibran, Douglas L. Hayden and 28 more. Nature, 2005

1,436 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2049840cae4bac85ae38869901a1c8c5d22c6a28

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Citations in the corpus

Persistent Systemic Inflammation is Associated with Poor Clinical Outcomes in COPD: A Novel Phenotype (2012, background): “The inflammatory response is a complex network of many different cells and molecules”
Genomic responses in mouse models poorly mimic human inflammatory diseases (2013, methodology): “These datasets include genome-wide expression analysis on white blood cells obtained from serial blood draws in 167 patients up to 28 d after severe blunt trauma (15), 244 patients up to 1 y after burn injury, and 4 healthy humans for 24 h after administration of low-dose bacterial endotoxin (14) an”
Integrative approaches for finding modular structure in biological networks (2013, background): “…metabolism in yeast 48 , drug response in Mycobacterium tuberculosis 50 , ageing in Drosophila melanogaster 88 , ageing 56 and embryogenesis 34 in Caenorhabditis elegans, and cellular responses to inflammation 86 , HIV infection 61 or tumour necrosis factor (TNF)-mediated stress 89 in humans.”
Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges (2012, background): “A typical approach for analyzing dynamic response at the pathway level is to measure expression changes at multiple time points, and analyze each time point individually to see which pathways are significant at each time point [66,67].”
A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus (2008, background): “4, included transcripts encoding ribosomal protein family members whose expression was recently found to be altered in acute infection and sepsis (Calvano et al., 2005; Thach et al., 2005).”
Studying and modelling dynamic biological processes using time-series gene expression data (2012, background): “For example, Calvano et al. 35 The sampling rate defines the resolution of the resulting set of data points. c | Heat maps are a common way to display gene expression levels, but they do not provide information about duration. d | Before further downstream analysis, computational methods can be…”