Summary of project PR002792
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002792. The data can be accessed directly via it's Project DOI: 10.21228/M8RV8C This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR002792 |
| Project DOI: | doi: 10.21228/M8RV8C |
| Project Title: | Lipidomic analysis of iPSC-derived microglia models |
| Project Summary: | Altered microglial lipid metabolism is heavily implicated in Alzheimer’s disease (AD) and ageing. Recently, protocols were developed to generate human induced pluripotent stem cell-derived microglia-like cells (iMGL) to study microglial function in vitro, including embryoid body-based methods and transcription factor-dependent (iTF) approaches. Here, we performed comparative lipidomics on iMGL from these methods and report major differences in multiple lipid classes including triglycerides (TG), a storage form of fatty acids implicated in microglial reactivity. We compared the lipid composition of iPSC-derived microglia generated using a classical EB-based method and an iTF-based method. |
| Institute: | VU Amsterdam |
| Department: | Department of Functional Genomics, CNCR |
| Laboratory: | Dementia discovery group |
| Last Name: | van der Kant |
| First Name: | Rik |
| Address: | De Boelelaan 1100, Amsterdam, North-Holland, 1081HZ, Netherlands |
| Email: | r.h.n.vander.kant@vu.nl |
| Phone: | +31205981809 |
Summary of all studies in project PR002792
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST004421 | Comparative lipidomics of iPSC-derived microglia protocols reveal lipid droplet and immune differences mediated by media composition | Homo sapiens | VU Amsterdam | MS | 2026-01-08 | 1 | 212 | Uploaded data (42.6M)* |