'Tissue specific' diaporamas de présentation

10 th AOTA Congress October 22, 2012

10 th AOTA Congress October 22, 2012. Paul M. Yen, M.D. Laboratory of Hormonal Regulation Cardiovascular and Metabolic Diseases Program Duke-NUS Graduate Medical School paul.yen@duke-nus.edu.sg. Thyroid hormone and lipid metabolism: New answers to old questions. Metabolic Syndrome.

687 views • 59 slides

Cracking the promoter code: Identifying regulatory modules for tissue-specific transcripts.

Cracking the promoter code: Identifying regulatory modules for tissue-specific transcripts. Chris Stoeckert, Ph.D. Center for Bioinformatics & Dept. of Genetics University of Pennsylvania School of Medicine Nov. 15, 2005 University of Nebraska Medical Center. Expression. TFBS1. TFBS2.

568 views • 46 slides

Unit III Lecture 3 B. Tech. (Biotechnology) III Year V th Semester

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Unit III Lecture 3 B. Tech. (Biotechnology) III Year V th Semester

660 views • 38 slides

Building a Knowledge Discovery System

Building a Knowledge Discovery System. Marcel Proust. The real act of discovery consists not in finding new lands but in seeing with new eyes - Marcel Proust. Eying a picture is better than seeing a thousand words. Uncover the hidden links. Bioinformatics.

438 views • 32 slides

Chapter 5 - Tissues

Chapter 5 - Tissues. Practice slides for Chapter 5 test. Name the tissue. Name the tissue. Name the tissue. Name the tissue. Identify type of Epithelial tissue & function. ID type of Connective tissue. ID type of tissue. Identify the type of tissue. Location in body. Function.

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Biochemical markers for diagnosis of diseases and follow up

Biochemical markers for diagnosis of diseases and follow up. Dr. Rana Hasanato Associate professor and consultant Head of clinical chemistry department Director of laboratories and blood bank. Lecture objectives:. Upon completion of this lecture, the students should be able to :

261 views • 23 slides

HSIEN-DA HUANG, HUEI-LINA and TSUNG-SHAN TSOU

A Data Mining Method to Predict Transcriptional Regulatory Sites Based On Differentially Expressed Genes in Human Genome. HSIEN-DA HUANG, HUEI-LINA and TSUNG-SHAN TSOU JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 19,923-942(2003). 1. ABSTRACT.

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Marco Magistri 09-11-2007, Journal Club

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Research Techniques Made Simple: Generation of complete or tissue-specific knockout mice

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Sexually dimorphic gene expression in somatic tissues. Authors: J. Isensee and P.Ruiz Noppinger

Sexually dimorphic gene expression in somatic tissues. Authors: J. Isensee and P.Ruiz Noppinger Center for Cardiovascular Research, Center for Gender in Medicine Max-Planck Institute for Molecular Genetics, Berlin, Germany. Not gene after gene but 25.000 genes simultaneous: DNA microarrays.

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r = 0.729, t = 145.1, p<0.001

0.3. 0.3. A. B. -0.2. -0.2. 1.4. 1.6. 1.4. 1.2. Log 10 ( B i ) estimated from tissue-specific TFs. Log 10 ( B i ) estimated from widely expressed TFs. -0.7. -0.7. 1.2. 1. 1. 0.8. -1.2. -1.2. 0.8. 0.6. r = 0.729, t = 145.1, p<0.001. r = 0.768, t = 163.2, p<0.001. 0.6.

87 views • 1 slides