Cellular signaling networks determine the fate and (dys)function of cells in response to a variety of environmental stimuli. The discovery of genetically encoded fluorescent proteins based biosensors over 2 decades ago enabled the detection and real-time measurement of cellular dynamics and signal transduction pathways with high spatial and temporal resolution. In this lecture, we will study how to engineer genetically encoded biosensors and chemogenetic/optogenetic tools and will also discuss many of the molecular designs that can be utilized in their development. We will also study how the high temporal and spatial resolution afforded by fluorescent biosensors can be aided for our understanding of the spatiotemporal regulation of signaling networks at the cellular and subcellular level. It is also planned to highlight some emerging areas of research in both biosensor design and applications that are on the forefront of biosensor development
Special Topics in BIO: Single-cell analysis techniques Single-cell analysis techniques (BIO 58004)
2021 Spring
Faculty of Engineering and Natural Sciences
Mol.Bio.Genetic&Bioengin.(BIO)
3
10
Emrah Eroğlu emrah.eroglu@sabanciuniv.edu,
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English
Doctoral, Master
--
Interactive lecture,Seminar
Interactive,Communicative,Discussion based learning,Case Study
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Programs\Type | Required | Core Elective | Area Elective |
Computer Science and Engineering - With Bachelor's Degree | * | ||
Computer Science and Engineering - With Master's Degree | * | ||
Computer Science and Engineering - With Thesis | * | ||
Cyber Security - With Bachelor's Degree | * | ||
Cyber Security - With Master's Degree | * | ||
Cyber Security - With Thesis | * | ||
Data Science - With Thesis | * | ||
Electronics Engineering and Computer Science - With Bachelor's Degree | * | ||
Electronics Engineering and Computer Science - With Master's Degree | * | ||
Electronics Engineering and Computer Science - With Thesis | * | ||
Electronics Engineering - With Bachelor's Degree | * | ||
Electronics Engineering - With Master's Degree | * | ||
Electronics Engineering - With Thesis | * | ||
Energy Technologies and Management-With Thesis | * | ||
Industrial Engineering - With Bachelor's Degree | * | ||
Industrial Engineering - With Master's Degree | * | ||
Industrial Engineering - With Thesis | * | ||
Leaders for Industry Biological Sciences and Bioengineering - Non Thesis | * | ||
Leaders for Industry Computer Science and Engineering - Non Thesis | * | ||
Leaders for Industry Electronics Engineering and Computer Science - Non Thesis | * | ||
Leaders for Industry Electronics Engineering - Non Thesis | * | ||
Leaders for Industry Industrial Engineering - Non Thesis | * | ||
Leaders for Industry Materials Science and Engineering - Non Thesis | * | ||
Leaders for Industry Mechatronics Engineering - Non Thesis | * | ||
Manufacturing Engineering - Non Thesis | * | ||
Manufacturing Engineering - With Bachelor's Degree | * | ||
Manufacturing Engineering - With Master's Degree | * | ||
Manufacturing Engineering - With Thesis | * | ||
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
Materials Science and Nano Engineering - With Thesis (Pre.Name: Materials Science and Engineering) | * | ||
Mathematics - With Bachelor's Degree | * | ||
Mathematics - With Master's Degree | * | ||
Mathematics - With Thesis | * | ||
Mechatronics Engineering - With Bachelor's Degree | * | ||
Mechatronics Engineering - With Master's Degree | * | ||
Mechatronics Engineering - With Thesis | * | ||
Molecular Biology, Genetics and Bioengineering (Prev. Name: Biological Sciences and Bioengineering) | * | ||
Molecular Biology, Genetics and Bioengineering-(Prev. Name: Biological Sciences and Bioengineering) | * | ||
Molecular Biology,Genetics and Bioengineering-With Thesis (Pre.Name:Biological Sciences and Bioeng.) | * | ||
Physics - Non Thesis | * | ||
Physics - With Bachelor's Degree | * | ||
Physics - With Master's Degree | * | ||
Physics - With Thesis | * |
CONTENT
Update Date:
ASSESSMENT METHODS and CRITERIA
Percentage (%) | |
Final | 20 |
Participation | 30 |
Presentation | 50 |
RECOMENDED or REQUIRED READINGS
Readings |
Fluorescent Proteins 101: A Desktop Resource, by Addgene, First Edition (August 2017). |