'Mrna expression' diaporamas de présentation

Topics in biophysics 13.1.2009 Effi Kenigbserg

Inferring the nature of the gene network connectivity Dynamic modeling of gene expression data Neal S. Holter, Amos Maritan, Marek Cieplak, Nina V. Fedoroff, and Jayanth R. Banavar. Topics in biophysics 13.1.2009 Effi Kenigbserg. Outline. Gene networks basics what can be measured

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BIPN 148 Lecture 15

BIPN 148 Lecture 15. Calcium regulation of gene expression. Spatial learning defects in dnCKIV mice. Impaired hippocampal LTP in CKIV null mice. Impaired amygdala and cortical LTP in CKIV null mice. Impaired fear conditioning in CKIV null mice. Calcium regulation of gene expression.

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D IESEL E XHAUST P ARTICLES and S ERUM M ODULATE A IRWAY E PITHELIAL C ELL V IABILITY by A FFECTING I NTRACELLULAR C ELL S IGNALING P ATHWAYS , WHICH ARE S ENSITIVE to O XIDATIVE S TRESS.

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Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks

Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks. Christopher A. Penfold Vicky Buchanan-Wollaston Katherine J. Denby And David L. Wild Published in Bioinformatics. Motivation.

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RNA

RNA. History. mRNA and tRNA worked out in the 1960s Purification of RNA lead to 23S, 16S, and 4S species and accounted for 85% of all RNA tRNA accounted for about 15% of all RNA Hybridization experiments did not match DNA mRNA accounts for only 1-4% of RNA. Types of RNA. mRNA tRNA

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Chp 3 Genomics, Proteomics, and Related Approaches to Physiology

Chp 3 Genomics, Proteomics, and Related Approaches to Physiology. Genomics: study of the genome of organisms Helps elucidate the evolution of genes and genomes Helps elucidate the current functioning of genes and genomes. Genomics.

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Supplementary figure 1

Supplementary figure 1. a. Steady state. CD64. MHCII. F4/80. CD24. CD11c. FMO. b. Macrophages. CD11b + DCs. CD103 + DCs. c. IL-10. TNF a. 80. 25. n.s. *. 20. 60. *. *. 15. % of subset. % of subset. 40. uninfected. 10. +anti-IL10R. Hh. 20. 5. 0. 0. MHCII +.

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Claudia Theander-Carrillo, et al. J. Clin. Invest. 2006 116:1983-93

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PAMPs and PRRs drive mucosa immune response : tolerance activation or pathology

PAMPs and PRRs drive mucosa immune response : tolerance activation or pathology. Dr.ihsan edan alsaimary Dr.awatif h.issa Dr.naema y.alyasiry Dr.andrew foey. Overview . The role of macrophages and epithelial cells in directing the mucosal immune response. Types of macrophages.

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Memory Circuits of the Cortex and Limbic Systems

Memory Circuits of the Cortex and Limbic Systems. BDNF upregulation during declarative memory formation in monkey inferior temporal cortex. Tokuyama et al. The Basics. The inferior temporal cortex stores visual pair association memory.

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Supplementary Table 1 Sequences of the primer used for q-PCR analysis

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SUPPLEMENTARY FIGURE LEGENDS

SUPPLEMENTARY FIGURE LEGENDS

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Figure S1

Supplementary Figures. Figure S1. n.s. n.s. 1.2. n.s. n.s. 1.2. n.s. n.s. 0.9. +/+. 0.9. LVPW, mm. IVS, mm. +/ -. 0.6. 0.6. -/-. 0.3. 0.3. 0. 0. TAC. TAC. *. 4. 60. 6. *. *. n.s. *. n.s. *. n.s. *. 3. 40. 4. LVDd, mm. LVFS, %. LVDs, mm. 2. 20. 2.

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Supplementary figure 1

Supplementary figure 1. A. hECFC. dmECFC. B. Surface marker expression in %. C. Surface marker expression in %. days.

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Supplementary Figure 5 (Legend and data interpretation overleaf)

A. mRNA level (arbitrary units). hypoxia. normoxia. B. C. Supplementary Figure 5 (Legend and data interpretation overleaf).

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control

ESM 2. mRNA expression of Tbhmgrc1-3 , Athmgrc1 , Athmgrc1 ?S and GUS in infiltrated leaf material of N. benthamiana . . Tbhmgrc1. Tbhmgrc2. Tbhmgrc3. Athmgrc1. Athmgrc1 ?S. control. HMGR. GUS.

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LSEC

A. 140. CCN3/NOV. 120. 100. 80. rel. mRNA expression. 60. C. 40. M. KC. LSEC. pMF. HSC. Hepatocytes. 20. 0. 2d. 2d. 0d. 0d. sec. 0d. 2d. 3d. 0d. 1d. 2d. 3d. 1d. 3d. 5d. 7d. 8d. 2d. 4d. HSC. MFB. CCN3/NOV (40 cycles). 4.5. CCN2/CTGF. 4. 3.5. GAPDH. 3.

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(A)

(A). (B). Additional File 8. (C). (D). (E). (F). (G). (H).

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