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Institute for Systems Biology

NonprofitSeattle, Washington, United States
About: Institute for Systems Biology is a nonprofit organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Population & Proteomics. The organization has 1277 authors who have published 2777 publications receiving 353165 citations.


Papers
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Journal ArticleDOI
TL;DR: The significance and mechanisms of lymphatic migration of innate and adaptive immune cells in homeostasis, inflammation and cancer are discussed.
Abstract: Lymphatic vessels collect interstitial fluid that has extravasated from blood vessels and return it to the circulatory system. Another important function of the lymphatic network is to facilitate immune cell migration and antigen transport from the periphery to draining lymph nodes. This migration plays a crucial role in immune surveillance, initiation of immune responses and tolerance. Here we discuss the significance and mechanisms of lymphatic migration of innate and adaptive immune cells in homeostasis, inflammation and cancer.

112 citations

Journal ArticleDOI
TL;DR: The results suggest that a MyD88-dependent pathway is required for eradication of L. pneumophila and prevention of organizing pneumonia, and indicates that additional MyD 88-dependent, TLR2-independent pathways are essential for full protection.
Abstract: Background. Toll-like receptors (TLRs) are a family of proteins that orchestrate innate immune responses to microbes. Although pathogens are typically recognized by multiple TLRs, the specific roles of individual TLRs in mediating host protection during in vivo infection are not well understood. Methods. We compared the roles of myeloid differentiation primary response gene (88) (MyD88), which regulates signaling through multiple TLRs, and TLR2 in mediating resistance to aerosolized Legionellapneumophila infection in vivo. Results. In comparison with wild-type mice, MyD88-deficient (MyD88 -/- ) mice had dramatically higher bacterial counts in the lungs, with decreased neutrophil counts in the bronchoalveolar lavage fluid as well as absent cytokine and chemokine production at early time points. By day 6 of infection, the MyD88 -/- mice developed organizing pneumonia with dissemination of L. pneumophila to the lymph nodes and spleen. TLR2 -/- mice were also more susceptible to L. pneumophila, with higher bacterial counts in the lung. However, TLR2 -/- mice produced proinflammatory cytokines, recruited neutrophils to the lung alveoli, and cleared the infection without progression to organizing pneumonia and disseminated disease. Conclusions. These results suggest that a MyD88-dependent pathway is required for eradication of L. pneumophila and prevention of organizing pneumonia. TLR2 mediates partial resistance to L. pneumophila, which indicates that additional MyD88-dependent, TLR2-independent pathways are essential for full protection.

112 citations

Journal ArticleDOI
TL;DR: Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways.
Abstract: Introduction Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways. Methods We analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects. Results We identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples. Discussion Downregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.

112 citations

Journal ArticleDOI
TL;DR: In this paper, the steady-state probabilities of the attractors of a Boolean network with perturbation were derived for a class of disordered dynamical systems called probabilistic Boolean networks (PBNs).

112 citations

Journal ArticleDOI
TL;DR: The ongoing development of BioTapestry, an open source, freely available computational tool designed specifically for building GRN models, is reported on.

111 citations


Authors

Showing all 1292 results

NameH-indexPapersCitations
Younan Xia216943175757
Ruedi Aebersold182879141881
David Haussler172488224960
Steven P. Gygi172704129173
Nahum Sonenberg167647104053
Leroy Hood158853128452
Mark H. Ellisman11763755289
Wei Zhang112118993641
John Ralph10944239238
Eric H. Davidson10645447058
James R. Heath10342558548
Alan Aderem9924646682
Anne-Claude Gingras9733640714
Trey Ideker9730672276
Michael H. Gelb9450634714
Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202260
2021216
2020204
2019188
2018168