User:Pakpoom Subsoontorn/Notebook/Genetically Encoded Memory/2008/10/14: Difference between revisions
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**mining from literature | **mining from literature | ||
**large scale, parallel experiment | **large scale, parallel experiment | ||
The site-specific recombination system generally have a group of enzyme that can cut & paste DNA at very specific sequence. There are, as far as I know, hundreds of such system exists both in nature and that developed in laboratory. They have been exploited extensively for making transgenic organism and in gene therapy. | |||
There are tons of literatures mentioning such information. The problem is people used different assays, different host cells, different interpretations. It would be great if we can organize such information together. We would like to be able to update, compare and systematically make reference to the source existing information. | |||
Moreover, we would like to know "how much we already know" and "how did we know it." Let's say, I have two stored pieces of information that enzyme X has N terminal domain for catalytic and C terminal for binding, while enzyme Y has intermixed domains for catalytic and binding domain. I would like to have systematic way to go back and check whether such conclusion come from totally different methods, from two different research groups, and were reported 15 years aways from each other! | |||
The information of interest include: | |||
-The sequence of recombinase enzyme and target DNA sequence. We probably get the protein sequence from GenBank. However, as far as I know, there is no public database for the target sequences yet. Determining the minimal target sequences are still subjects of intensive research, even for the best known recombinase systems. | |||
-Structural information. In particular, functional domain, DNA binding domain, catalytic domain, etc. | |||
-Mutation/ chimeric studies. | |||
-Efficiency in different host cells. What're the rates of recombination? How specific is the recombination? toxicities to the host cells? | |||
-Different Assays used for the studies. | |||
==Database/method features== | ==Database/method features== |
Revision as of 23:56, 24 October 2008
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Quantitative functional profiles of site-specific recombinase
The site-specific recombination system generally have a group of enzyme that can cut & paste DNA at very specific sequence. There are, as far as I know, hundreds of such system exists both in nature and that developed in laboratory. They have been exploited extensively for making transgenic organism and in gene therapy. There are tons of literatures mentioning such information. The problem is people used different assays, different host cells, different interpretations. It would be great if we can organize such information together. We would like to be able to update, compare and systematically make reference to the source existing information. Moreover, we would like to know "how much we already know" and "how did we know it." Let's say, I have two stored pieces of information that enzyme X has N terminal domain for catalytic and C terminal for binding, while enzyme Y has intermixed domains for catalytic and binding domain. I would like to have systematic way to go back and check whether such conclusion come from totally different methods, from two different research groups, and were reported 15 years aways from each other! The information of interest include: -The sequence of recombinase enzyme and target DNA sequence. We probably get the protein sequence from GenBank. However, as far as I know, there is no public database for the target sequences yet. Determining the minimal target sequences are still subjects of intensive research, even for the best known recombinase systems. -Structural information. In particular, functional domain, DNA binding domain, catalytic domain, etc. -Mutation/ chimeric studies. -Efficiency in different host cells. What're the rates of recombination? How specific is the recombination? toxicities to the host cells? -Different Assays used for the studies. Database/method features
Quantitative functional informationThe list of information fields (need to decide: mining VS experimenting, set priority, black-box):
Parameter we want to tune,
ToolsInformatics tools
Molecular Biology tools
Notes/questions
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