Activity 2: Mass spec based identification, characterization and differential diagnosis

Background/aim

Peptides and proteins play a key role for almost all functions in the body. It has been shown that the level of specific proteins or their structure change as a consequence of a certain disease. These changes are of outmost importance in clinical research since these are potential biomarkers for the disease. A valid set of specific and reliable biological markers to help predict onset, rate of progression and response to treatment for the disease is vital for both patients and clinicians. High performing sample preparation techniques in combination with mass spectrometry detection and quantification are important tools for biomarker discovery and characterization.

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Mass spec based identification and characterization of biomarkers following administration of a pain signaling reagent

Background/aim

Pain signaling pathways and secondary biochemical effects are important sources to novel biomarkers useful in the development of drugs in the analgesia area. Subsequently, identified candidate biomarkers can be studied in relevant human patient populations, in accessible biofluids such as blood cells and plasma, and compared with control populations. High performing sample preparation techniques in combination with mass spectrometry detection and quantification are important tools for biomarker discovery and characterization. The objective is to study NGF induced biochemical changes and to identify one or several proteins as potential biomarkers for NGF related pain mechanisms.

 

 

 

Project leader:

 

 

Participants:

  • Jonas Bergquist (UU)
  • Marcus Sjödin (UU)
  • Kim Kultima (SSMF)
  • K. Artemenko (UU)
  • Daniel Ivansson (GEHC)
  • Lars I Andersson (AZ)
  •  

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  • Marcus Sjödin (UU)
  • Jonas Bergquist (UU)
  • Masood Kamali-M.(UU)
  • Lars I Andersson (AZ)
  • Anja Finn (AZ)
  • Karin Agerman (AZ)
  • Staffan Schmidt (AZ)
  • Tinna Ängeby-Möller (AZ)
  • Ying Sun (AZ)
  • Kim Kultima (SSMF)

 

PARTNERS
Uppsala Berzelii Technology Centre for Neurodiagnostics | Email info@berzelii.uu.se