Human macrophage activation programs induced by bacterial pathogens

By G. Nau, J. Richmond, Ann Schlesinger, E. Jennings, Eric S. Lander, Richard A. Young. Proceedings of the National Academy of Sciences of the United States of America, 2002

769 citations recorded by the source corpus.

Subfields: Immunology, Microbiology

View Paper: https://www.semanticscholar.org/paper/b2d7031ee992475037f7a396b0fad1b80b5cbd67

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Immunology

1. S. Gordon
2. T. Lawrence
3. F. Martínez
4. G. Natoli
5. E. Latz
6. Laurie H. Glimcher
7. Ziv Bar-Joseph
8. A. Ma

In Microbiology

1. T. Lawrence
2. Ziv Bar-Joseph
3. S. Gordon

Citations in the corpus

• Studying and modelling dynamic biological processes using time-series gene expression data (2012, methodology): “A heuristic, ad-hoc solution that is commonly used 37,38 is to require that at least two consecutive points are above a chosen fold change in order to declare a gene as differentially expressed (FIG.”
• Alternative activation of macrophages (2003, background): “or direct activation of macrophage gene expression by lipopolysaccharide (LPS) or microbe”
• The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responses (2004, background): “Endotoxin tolerance is associated with downregulation of surface TLR4 expression as well as modification of NF-κB responsivenes”
• PAGE: Parametric Analysis of Gene Set Enrichment (2005, neutral): “expression patterns either in well defined cellular populations responding to a specific stimulus in vitro [13,14] or in complex clinical settings such as cancer and neurological diseases [15-17].”
• The M1 and M2 paradigm of macrophage activation: time for reassessment (2014, methodology): “Full bacteria induce gene programs similar to those of isolated Tolllike receptors (TLRs), and major parts of the pathogen profiles can be ascribed to TLR ligands, such as LPS, muramyl dipeptide, and lipoteichoic acid [16].”
• Transcriptional regulation of macrophage polarization: enabling diversity with identity (2011, background): “Therefore, M1 macrophages have a remarkable heterogeneity that reflects the specific stimulus or combination of stimuli that triggered their activatio”
• Mycobacterium tuberculosis Pathogenesis and Molecular Determinants of Virulence (2003, background): “tuberculosis infection of human (198) and murine (83) macrophages.”
• Analyzing time series gene expression data (2004, background): “, 2001), infection (Nau et al., 2002) and stress (Gasch et al.”