Robust induction of functional astrocytes using NGN2 expression in human pluripotent stem cells.
Robust induction of functional astrocytes using NGN2 expression in human pluripotent stem cells.
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DOI:
10.1016/j.isci.2023.106995
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发表时间:
2023-07-21
期刊:
影响因子:
5.8
通讯作者:
Barrett, Lindy E.
中科院分区:
文献类型:
--
作者:
Berryer, Martin H.;Tegtmeyer, Matthew;Binan, Loic;Valakh, Vera;Nathanson, Anna;Trendafilova, Darina;Crouse, Ethan;Klein, Jenny A.;Meyer, Daniel;Pietilainen, Olli;Rapino, Francesca;Farhi, Samouil L.;Rubin, Lee L.;Mccarroll, Steven A.;Nehme, Ralda;Barrett, Lindy E.
Emerging evidence of species divergent features of astrocytes coupled with the relative inaccessibility of human brain tissue underscore the utility of human pluripotent stem cell (hPSC) technologies for the generation and study of human astrocytes. However, existing approaches for hPSC-astrocyte generation are typically lengthy or require intermediate purification steps. Here, we establish a rapid and highly scalable method for generating functional human induced astrocytes (hiAs). These hiAs express canonical astrocyte markers, respond to pro-inflammatory stimuli, exhibit ATP-induced calcium transients and support neuronal network development. Moreover, single-cell transcriptomic analyses reveal the generation of highly reproducible cell populations across individual donors, mostly resembling human fetal astrocytes. Finally, hiAs generated from a trisomy 21 disease model identify expected alterations in cell-cell adhesion and synaptic signaling, supporting their utility for disease modeling applications. Thus, hiAs provide a valuable and practical resource for the study of basic human astrocyte function and dysfunction in disease. Rapid human astrocyte generation from iPSCs using transient NGN2 and astrocyte media Assessment of inflammatory response, calcium dynamics and neuronal network support High homogeneity at the single cell level and across independent cell lines Key features of astrocyte dysfunction recapitulated in a trisomy 21 disease model Neuroscience; Transcriptomics; Methodology in biological sciences
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
DOI:
10.1111/j.1749-6632.1988.tb51417.x
发表时间:
1988-01-01
影响因子:
5.2
作者:
Goldstein, G W
通讯作者:
Goldstein, G W
影响因子:
64.8
作者:
Bhaduri A;Sandoval-Espinosa C;Otero-Garcia M;Oh I;Yin R;Eze UC;Nowakowski TJ;Kriegstein AR
通讯作者:
Kriegstein AR
影响因子:
23.9
作者:
Han, Xiaoning;Chen, Michael;Wang, Fushun;Windrem, Martha;Wang, Su;Shanz, Steven;Xu, Qiwu;Oberheim, Nancy Ann;Bekar, Lane;Betstadt, Sarah;Silva, Alcino J.;Takano, Takahiro;Goldman, Steven A.;Nedergaard, Maiken
通讯作者:
Nedergaard, Maiken
影响因子:
11
作者:
Allen, Megan;Huang, Ben S.;Notaras, Michael J.;Lodhi, Aiman;Barrio-Alonso, Estibaliz;Lituma, Pablo J.;Wolujewicz, Paul;Witztum, Jonathan;Longo, Francesco;Chen, Maoshan;Greening, David W.;Klann, Eric;Ross, M. Elizabeth;Liston, Conor;Colak, Dilek
通讯作者:
Colak, Dilek