Microscale Immune Studies Laboratory.
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Summary
A systems biology approach to decipher TLR4 pathways in macrophage cell lines in response to exposure to pathogenic bacteria and their lipopolysaccharide (LPS), which will significantly improve the ability to study cell-signaling involved in host-pathogen interactions and other diseases such as cancer.
- Type
- report
- Published
- 2009-01-01
- Cited by
- 1
- References
- 100
- Access
- Open access
- OpenAlex
- https://openalex.org/W18594783
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:80871671
Keywords
Innate immune system, Biology, Cell biology, Immune system, Microfluidics
References
- Keeping up NF-kappaB appearances: epigenetic control of immunity or inflammation-triggered epigenetics.
- Stochastic Gene Expression
- Simultaneous measurement of multiple active kinase states using polychromatic flow cytometry
- NF-kappaB oscillations and cell-to-cell variability.
- Circuitry of nuclear factor κB signaling
- Two Waves of Nuclear Factor κb Recruitment to Target Promoters
- Circuit simulation of genetic networks.
- Mathematical model of NF- κB regulatory module
- Interactions of NF-κB with chromatin: the art of being at the right place at the right time
- Visualizing Signals Moving in Cells
- Transient IκB Kinase Activity Mediates Temporal NF-κB Dynamics in Response to a Wide Range of Tumor Necrosis Factor-α Doses*
- Negative regulation of Toll-like receptor-mediated immune responses
- Intrinsic noise in gene regulatory networks
- Microbial cell individuality and the underlying sources of heterogeneity
- Oscillatory Expression of the bHLH Factor Hes1 Regulated by a Negative Feedback Loop
- Noise in Gene Expression: Origins, Consequences, and Control
- Minimal model of spiky oscillations in NF-κB signaling
- Robust, Tunable Biological Oscillations from Interlinked Positive and Negative Feedback Loops
- Ultradian oscillations of Stat, Smad, and Hes1 expression in response to serum
- Comment on "Oscillations in NF-kappaB signaling control the dynamics of gene expression".
Cited by
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