Abstract DZNE-2020-01025

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Generation and characterization of patient-derived microglia-like cells for studying neuroinflammation in Alzheimer"s disease

 ;

2017

47th Annual Meeting of the German Society for Immunology, ErlangenErlangen, Germany, 12 Sep 2017 - 15 Sep 20172017-09-122017-09-15

Abstract: Alzheimer's disease (AD), the most common neurodegenerative disease, is characterized by extracellular deposits of amyloid peptides (Aβ), within senile plaques, and intracellular aggregation of hyperphosphorylated Tau protein causing neurofibrillary tangles (NFTs). AD is also defined by an extensive neuronal loss and chronic neuroinflammation mediated by microglial cells and astrocytes surrounding the lesions. Numerous preclinical and clinical studies have pointed out the strong contribution of neuroinflammation, in particular microglial responses, in the progression of AD. Therefore, deciphering cellular and molecular mechanisms underlying these neuroinflammatory processes may pave the way to the identification of new targets and biomarkers of AD. The generation of patient neural cells using induced pluripotent stem cell (iPSC) technology has helped to overcome the lack of success in modeling familial and sporadic AD. To identify new pathways involved in Alzheimer"s disease, we have set up, in our laboratory, a method to generate microglial cells using patient derived monocytes and iPSCs. The generated microglia-like cells have been then characterized for their phenotypes and functions regarding the genetic background and upon various stimulatory conditions.


Contributing Institute(s):
  1. Neuroinflammation, Biomarker (AG Heneka2)
Research Program(s):
  1. 344 - Clinical and Health Care Research (POF3-344) (POF3-344)

Appears in the scientific report 2017
Click to display QR Code for this record

The record appears in these collections:
Document types > Presentations > Abstracts
Institute Collections > BN DZNE > BN DZNE-AG Heneka
Public records
Publications Database

 Record created 2020-08-26, last modified 2020-09-25


External link:
Download fulltext
Fulltext
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)