Transcription factor combinations that define human astrocyte identity encode significant variation of maturity and function

Author:

Baranes Koby12,Hastings Nataly12ORCID,Rahman Saifur12,Poulin Noah12,Tavares Joana M.12,Kuan Wei‐Li1,Syed Najeeb3,Kunz Meik3,Blighe Kevin3,Belgard T. Grant3,Kotter Mark R. N.12ORCID

Affiliation:

1. Department of Clinical Neurosciences University of Cambridge Cambridge CB2 0QQ UK

2. Wellcome‐MRC Cambridge Stem Cell Institute, University of Cambridge Cambridge CB2 0AW UK

3. The Bioinformatics CRO Sanford Florida 32771 USA

Abstract

AbstractIncreasing evidence indicates that cellular identity can be reduced to the distinct gene regulatory networks controlled by transcription factors (TFs). However, redundancy exists in these states as different combinations of TFs can induce broadly similar cell types. We previously demonstrated that by overcoming gene silencing, it is possible to deterministically reprogram human pluripotent stem cells directly into cell types of various lineages. In the present study we leverage the consistency and precision of our approach to explore four different TF combinations encoding astrocyte identity, based on previously published reports. Analysis of the resulting induced astrocytes (iAs) demonstrated that all four cassettes generate cells with the typical morphology of in vitro astrocytes, which expressed astrocyte‐specific markers. The transcriptional profiles of all four iAs clustered tightly together and displayed similarities with mature human astrocytes, although maturity levels differed between cells. Importantly, we found that the TF cassettes induced iAs with distinct differences with regards to their cytokine response and calcium signaling. In vivo transplantation of selected iAs into immunocompromised rat brains demonstrated long term stability and integration. In conclusion, all four TF combinations were able to induce stable astrocyte‐like cells that were morphologically similar but showed subtle differences with respect to their transcriptome. These subtle differences translated into distinct differences with regards to cell function, that could be related to maturation state and/or regional identity of the resulting cells. This insight opens an opportunity to precision‐engineer cells to meet functional requirements, for example, in the context of therapeutic cell transplantation.

Funder

Medical Research Council

Multiple Sclerosis Society

Public Health Research Programme

Rosetrees Trust

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience,Neurology

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