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Postdoc Position in Biomarker Discovery and Clinical Proteomics

Title: Development of a semi-automated biomarker discovery platform for clinical proteomics.

Background: 
Quantitative proteomics technologies hold a great potential to discover, validate and accurately quantify protein disease biomarkers in body fluids and primary tissues. However, cell dynamics and survival are highly linked with cellular signalling pathways that are regulated and controlled by post-translational modifications (PTMs) of proteins. In fact, about 5% of all proteins in the cell are enzymes capable of modulating the more than 400 known PTMs found in human cells. 

Since most diseases are developed due to perturbation in cellular signalling pathways, it is reasonable to believe that alterations in PTMs would have a much greater disease biomarker potential than alteration in protein expression in general.
The purpose of the project is to develop a robust quantitative proteomics platform for the identification and validation of selected PTMs of proteins that can be used to confidently identify biomarkers in clinical proteomics for the diagnosis of the disease, the stratification of patients according to their disease endotype or to monitor therapeutic responses to specific treatments in individual patients, personalized medicine.

Deadline: 15 August 2019.

Please see the full call, including how to apply, on www.sdu.dk.


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330048359Phoenix-4f35997412019-06-24T00:00:00Postdoc Position in Biomarker Discovery and Clinical Proteomics

Title: Development of a semi-automated biomarker discovery platform for clinical proteomics.

Background: 
Quantitative proteomics technologies hold a great potential to discover, validate and accurately quantify protein disease biomarkers in body fluids and primary tissues. However, cell dynamics and survival are highly linked with cellular signalling pathways that are regulated and controlled by post-translational modifications (PTMs) of proteins. In fact, about 5% of all proteins in the cell are enzymes capable of modulating the more than 400 known PTMs found in human cells. 

Since most diseases are developed due to perturbation in cellular signalling pathways, it is reasonable to believe that alterations in PTMs would have a much greater disease biomarker potential than alteration in protein expression in general.
The purpose of the project is to develop a robust quantitative proteomics platform for the identification and validation of selected PTMs of proteins that can be used to confidently identify biomarkers in clinical proteomics for the diagnosis of the disease, the stratification of patients according to their disease endotype or to monitor therapeutic responses to specific treatments in individual patients, personalized medicine.

Deadline: 15 August 2019.

Please see the full call, including how to apply, on www.sdu.dk.

2019-08-16T00:51:37.137 Title: Development of a semi-automated biomarker discovery platform for clinical proteomics.Background: Quantitative proteomics technologies hold a great potential to discover, validate and accurately quantify protein disease biomarkers in body fluids and primary tissues. However, cell dynamics and survival are highly linked with cellular signalling pathways that are regulated and controlled by post-translational modifications (PTMs) of proteins. In fact, about 5 of all proteins in the cell are enzymes capable of modulating the more than 400 known PTMs found in human cells. Since most diseases are developed due to perturbation in cellular signalling pathways, it is reasonable to believe that alterations in PTMs would have a much greater disease biomarker potential than alteration in protein expression in general.The purpose of the project is to develop a robust quantitative proteomics platform for the identification and validation of selected PTMs of proteins that can be used to confidently identify biomarkers in clinical proteomics for the diagnosis of the disease, the stratification of patients according to their disease endotype or to monitor therapeutic responses to specific treatments in individual patients, personalized medicine.Deadline: 15 August 2019.Please see the full call, including how to apply, on www.sdu.dk.11jobnet4f359974100000000000IDK_OFIR_02DKDanmark228DKK2019-08-15T00:00:000000https://job.jobnet.dk/CV/FindJob/details/50089140EuropaDanmarkFyn & Sydfynske øerFynOdense3551732Syddansk Universitet11Campusvej 555230Odense MDKDanmark0
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