Semantic Scholar Open Access 2018 86 sitasi

Human iPS-Derived Astroglia from a Stable Neural Precursor State Show Improved Functionality Compared with Conventional Astrocytic Models

Anders Lundin L. Delsing Maryam Clausen Piero Ricchiuto José Sánchez +8 lainnya

Abstrak

Summary In vivo studies of human brain cellular function face challenging ethical and practical difficulties. Animal models are typically used but display distinct cellular differences. One specific example is astrocytes, recently recognized for contribution to neurological diseases and a link to the genetic risk factor apolipoprotein E (APOE). Current astrocytic in vitro models are questioned for lack of biological characterization. Here, we report human induced pluripotent stem cell (hiPSC)-derived astroglia (NES-Astro) developed under defined conditions through long-term neuroepithelial-like stem (ltNES) cells. We characterized NES-Astro and astrocytic models from primary sources, astrocytoma (CCF-STTG1), and hiPSCs through transcriptomics, proteomics, glutamate uptake, inflammatory competence, calcium signaling response, and APOE secretion. Finally, we assess modulation of astrocyte biology using APOE-annotated compounds, confirming hits of the cholesterol biosynthesis pathway in adult and hiPSC-derived astrocytes. Our data show large diversity among astrocytic models and emphasize a cellular context when studying astrocyte biology.

Topik & Kata Kunci

Penulis (13)

A

Anders Lundin

L

L. Delsing

M

Maryam Clausen

P

Piero Ricchiuto

J

José Sánchez

A

A. Sabirsh

M

M. Ding

J

Jane Synnergren

H

H. Zetterberg

G

Gabriella Brolén

R

R. Hicks

A

A. Herland

A

Anna Falk

Format Sitasi

Lundin, A., Delsing, L., Clausen, M., Ricchiuto, P., Sánchez, J., Sabirsh, A. et al. (2018). Human iPS-Derived Astroglia from a Stable Neural Precursor State Show Improved Functionality Compared with Conventional Astrocytic Models. https://doi.org/10.1016/j.stemcr.2018.01.021

Akses Cepat

Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
86×
Sumber Database
Semantic Scholar
DOI
10.1016/j.stemcr.2018.01.021
Akses
Open Access ✓