Articles tagués macrophage
IQGAP1 Is Involved in Post-Ischemic Neovascularization by Regulating Angiogenesis and Macrophage Infiltration
Publié par Oldcola dans Angiogenesis le octobre 19, 2010
IQGAP1 Is Involved in Post-Ischemic Neovascularization by Regulating Angiogenesis and Macrophage Infiltration
Urao N, Razvi M, Oshikawa J, McKinney RD, Chavda R, et al. (2010)
PLoS ONE 5(10): e13440. doi:10.1371/journal.pone.0013440
Notch Signaling Determines the M1 versus M2 Polarization of Macrophages in Antitumor Immune Responses
Notch Signaling Determines the M1 versus M2 Polarization of Macrophages in Antitumor Immune Responses
Wang, Yao-Chun, He, Fei, Feng, Fan, Liu, Xiao-Wei, Dong, Guang-Ying, Qin, Hong-Yan, Hu, Xing-Bin, Zheng, Min-Hua, Liang, Liang, Feng, Lei, Liang, Ying-Min, Han, Hua
Cancer Research Published online first on May 25, 2010 doi: 10.1158/0008-5472.CAN-10-0269
Type II-activated macrophages suppress the development of experimental autoimmune encephalomyelitis
Publié par Oldcola dans immunology, Inflammation le avril 4, 2009
Type II-activated macrophages suppress the development of experimental autoimmune encephalomyelitis
Joanna B Tierney, Marie Kharkrang and Anne Camille La Flamme
Immunology and Cell Biology (2009) 87, 235–240; doi:10.1038/icb.2008.99
Il y a des fois où malgré le fait qu’on s’est fait couper l’herbe sous les pieds on trouve que c’est fait de façon suffisamment élégante pour qu’on tire son chapeau. Chapeau mesdames 🙂
Alveolar Epithelial Type II Cells Activate Alveolar Macrophages and Mitigate P. Aeruginosa Infection
Publié par Oldcola dans immunology le mars 23, 2009
Alveolar Epithelial Type II Cells Activate Alveolar Macrophages and Mitigate P. Aeruginosa Infection.
Shibichakravarthy Kannan, Huang Huang, Drew Seeger, Aaron Audet, Yaoyu Chen, Canhua Huang, Hongwei Gao, Shaoguang Li, Min Wu
PLoS ONE 4(3): e4891. doi:10.1371/journal.pone.0004891
Downregulation by lipopolysaccharide of Notch signaling, via nitric oxide
Publié par Oldcola dans Uncategorized le janvier 5, 2009
Downregulation by lipopolysaccharide of Notch signaling, via nitric oxide
MY Kim, JH Park, JS Mo, EJ Ann, SO Han, SH Baek, KJ Kim, SY Im, JW Park, EJ Choi and HS Park
J Cell Sci (2008 ) vol. 121 (Pt 9) pp. 1466-76
Integrated regulation of Toll-like receptor responses by Notch and interferon-gamma pathways
Publié par Oldcola dans immunology, Inflammation le janvier 5, 2009
X Hu, AY Chung, I Wu, J Foldi, J Chen, JD Ji, T Tateya, YJ Kang, J Han, M Gessler, R Kageyama and LB Ivashkiv. Integrated regulation of Toll-like receptor responses by Notch and interferon-gamma pathways. Immunity (2008 ) vol. 29 (5) pp. 691-703
Foamy Macrophages from Tuberculous Patients’ Granulomas Constitute a Nutrient-Rich Reservoir for M. tuberculosis Persistence
Peyron P, Vaubourgeix J, Poquet Y, Levillain F, Botanch C, et al. (2008 ) Foamy Macrophages from Tuberculous Patients’ Granulomas Constitute a Nutrient-Rich Reservoir for M. tuberculosis Persistence. PLoS Pathog 4(11): e1000204. doi:10.1371/journal.ppat.1000204
Ce n’est pas le syndrome de Stockholm mais l’inverse; ces saloperies arrivent à tourner la tête des macrophages qui au lieu de les digérer leur apportent de quoi manger ! Des planqués qui attendent que ça soit moins agité à l’extérieur.
Interleukin-10 Promotes Pathological Angiogenesis by Regulating Macrophage Response to Hypoxia during Development
Publié par Oldcola dans Uncategorized le octobre 11, 2008
Dace DS, Khan AA, Kelly J, Apte RS (2008) Interleukin-10 Promotes Pathological Angiogenesis by Regulating Macrophage Response to Hypoxia during Development. PLoS ONE 3(10): e3381. doi:10.1371/journal.pone.0003381
Cyclin T1-Dependent Genes in Activated CD4+ T and Macrophage Cell Lines Appear Enriched in HIV-1 Co-Factors
Yu W, Ramakrishnan R, Wang Y, Chiang K, Sung T-L, et al. (2008 ) Cyclin T1-Dependent Genes in Activated CD4+ T and Macrophage Cell Lines Appear Enriched in HIV-1 Co-Factors. PLoS ONE 3(9): e3146. doi:10.1371/journal.pone.0003146
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Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics
Publié par Oldcola dans bioinformatics le avril 6, 2008
by Stephen A. Ramsey, Sandy L. Klemm, Daniel E. Zak, Kathleen A. Kennedy, Vesteinn Thorsson, Bin Li, Mark Gilchrist, Elizabeth S. Gold, Carrie D. Johnson, Vladimir Litvak, Garnet Navarro, Jared C. Roach, Carrie M. Rosenberger, Alistair G. Rust, Natalya Yudkovsky, Alan Aderem, Ilya Shmulevich
Author Summary
Macrophages play a vital role in host defense against infection by recognizing pathogens through pattern recognition receptors, such as the Toll-like receptors (TLRs), and mounting an immune response. Stimulation of TLRs initiates a complex transcriptional program in which induced transcription factor genes dynamically regulate downstream genes. Microarray-based transcriptional profiling has proved useful for mapping such transcriptional programs in simpler model organisms; however, mammalian systems present difficulties such as post-translational regulation of transcription factors, combinatorial gene regulation, and a paucity of available gene-knockout expression data. Additional evidence sources, such as DNA sequence-based identification of transcription factor binding sites, are needed. In this work, we computationally inferred a transcriptional network for TLR-stimulated murine macrophages. Our approach combined sequence scanning with time-course expression data in a probabilistic framework. Expression data were analyzed using the time-lagged correlation. A novel, unbiased method was developed to assess the significance of the time-lagged correlation. The inferred network of associations between transcription factor genes and co-expressed gene clusters was validated with targeted ChIP-on-chip experiments, and yielded insights into the macrophage activation program, including a potential novel regulator. Our general approach could be used to analyze other complex mammalian systems for which time-course expression data are available.
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