User talk:Jeremy S. Myers

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== Personal/Lab Info ==  
== Personal/Lab Info ==  
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We have gone ahead and filled in some information you provided us in your membership application on your [[User:Jeremy S. Myers|User Page]].  Please take a moment to embellish this and tell the community a little more about you.  Put links to your lab pages, your projects and your interests.  If you run out of ideas, take a look at some of the other User pages.  For example, check out [[User:Julius_B._Lucks]], [[User:Jason_R._Kelly]] and [[User:Reshma_P._Shetty]]. 
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Targeted Proteomics: Fundamental Approach for Targeted Therapy
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You'll also notice that we have put an 'image' placeholder at the top of your [[User:Jeremy S. Myers|User Page]].  We encourage you to upload an image of yourself to give OWW a more personal feelTo upload an image, click on the [[Special:Upload|Upload file]] link on the left-hand side (toolbar)Choose a file from your computer, and remember the file name.  After you have uploaded the image, you should see it loaded on its own page. Go back to your [[User:Jeremy S. Myers|User Page]], click on edit, and replace 'OWWEmblem.png' with the name of your file that you have uploaded in the second line of this page.
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The human proteome is the protein complement of human genome, the primary functional components of a cell, and key to understanding human disease.  
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Proteomics is the analysis of proteins that make-up the proteome and employs various advanced biotechnologies to understand the dynamic regulation of the proteome.
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Mass spectrometry-based analysis is the prevailing tool for proteomics and has the potential to identify indicators of disease, identify targets for treatment, and monitor treatment responseMany different mass spectrometry proteomics platforms exist.  Global proteomic analyses are the prominent platforms applied in cancer proteomics, because they attempts to provide rapid identification and quantitation of all proteins in the proteomeHowever, these platforms face a number of challenges: 
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1. Proteome variation is common resulting from genetic differences between individuals and genetic differences within in each of the 100 trillion cells in a human body which mutate at an estimated 10,000 mutations in each cell per day.
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2. Global protein identification is dependent on the relative abundance of proteins in the proteome. Many regulatory changes in the proteome that define cell activity are relatively low abundant protein modifications.
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Therefore, proteomic variation contributing to disease and useful in improving therapy is not easily identified.  
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Targeted proteomics combines genetics, molecular biology, mass spectrometry-based proteomics, and bioinformatics and addresses these challenges by targeting the fraction of the proteome most relevant to disease.
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Leveraging diverse research experience and advanced mass spectrometry-based proteomics, we are providing new insight to human disease and helping to develop and improve chemotherapeutics tailored for specific cancer types.

Revision as of 18:40, 21 July 2008

Hello, Jeremy S. Myers! This is a welcome message from OpenWetWare. By the way, we've announced you on the home page! You can leave messages to any OWW member by editing their User_talk pages like this one. And don't forget to personalize your User Page so that we can get to know you better! We've included some tips below to get you started.

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Personal/Lab Info

Targeted Proteomics: Fundamental Approach for Targeted Therapy

The human proteome is the protein complement of human genome, the primary functional components of a cell, and key to understanding human disease.

Proteomics is the analysis of proteins that make-up the proteome and employs various advanced biotechnologies to understand the dynamic regulation of the proteome.

Mass spectrometry-based analysis is the prevailing tool for proteomics and has the potential to identify indicators of disease, identify targets for treatment, and monitor treatment response. Many different mass spectrometry proteomics platforms exist. Global proteomic analyses are the prominent platforms applied in cancer proteomics, because they attempts to provide rapid identification and quantitation of all proteins in the proteome. However, these platforms face a number of challenges:

1. Proteome variation is common resulting from genetic differences between individuals and genetic differences within in each of the 100 trillion cells in a human body which mutate at an estimated 10,000 mutations in each cell per day.

2. Global protein identification is dependent on the relative abundance of proteins in the proteome. Many regulatory changes in the proteome that define cell activity are relatively low abundant protein modifications.

Therefore, proteomic variation contributing to disease and useful in improving therapy is not easily identified.

Targeted proteomics combines genetics, molecular biology, mass spectrometry-based proteomics, and bioinformatics and addresses these challenges by targeting the fraction of the proteome most relevant to disease.

Leveraging diverse research experience and advanced mass spectrometry-based proteomics, we are providing new insight to human disease and helping to develop and improve chemotherapeutics tailored for specific cancer types.

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