Enhancing clinical predictability with novel models of iPSC-derived nociceptor for chronic pain
Grant Award Details
Grant Type:
Grant Number:
DISC0-17976
Investigator(s):
Award Value:
$1,498,623
Status:
Pre-Active
Grant Application Details
Application Title:
Enhancing clinical predictability with novel models of iPSC-derived nociceptor for chronic pain
Public Abstract:
Research Objective
1.- Develop a better chronic pain in vitro model using iPSC-derived nociceptors.
2.- Understand the Mechanism of Action behind Chronic Pain Nociception.
3.- Attributes to establish a robust model.
Impact
Translating pain drugs is limited by in vitro model relevance. We propose a novel human iPSC-derived nociceptor model that can provide enhanced clinical predictability for chronic pain.
1.- Develop a better chronic pain in vitro model using iPSC-derived nociceptors.
2.- Understand the Mechanism of Action behind Chronic Pain Nociception.
3.- Attributes to establish a robust model.
Impact
Translating pain drugs is limited by in vitro model relevance. We propose a novel human iPSC-derived nociceptor model that can provide enhanced clinical predictability for chronic pain.
