Evidence map›Paper›PMID 37029764›Full record

ArticleGlia2023

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

Koby Baranes, Nataly Hastings, Saifur Rahman, Noah Poulin, Joana M Tavares, Wei-Li Kuan, Najeeb Syed, Meik Kunz, Kevin Blighe, T Grant Belgard and 1 more

Abstract read
In one paragraph

Article in Glia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. The microdialysis-derived lactate-pyruvate gradient indicates anaerobic activity after brain injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Electrophysiological In Vitro Study of Long-Range Signal Transmission by Astrocytic Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Koby BaranesDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Nataly HastingsDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.ORCID 0000-0002-5376-339X
Saifur RahmanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Noah PoulinDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Joana M TavaresDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Wei-Li KuanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.
Najeeb SyedThe Bioinformatics CRO, Sanford, Florida, 32771, USA.
Meik KunzThe Bioinformatics CRO, Sanford, Florida, 32771, USA.
Kevin BligheThe Bioinformatics CRO, Sanford, Florida, 32771, USA.
T Grant BelgardThe Bioinformatics CRO, Sanford, Florida, 32771, USA.
Mark R N KotterDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK.ORCID 0000-0001-5145-7199

Funding

Department of HealthMedical Research Council MR/S005528/1Multiple Sclerosis Society RG81529
6 · The paper itself

Abstract

Increasing 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.

Indexed as

Neural Stem CellsTranscription FactorsAnimalsAstrocytesCell DifferentiationGene Expression RegulationHumansRatsTranscriptomeTranscription Factorsastrocyteshuman induced pluripotent stem cellsreprogrammingtranscription factorstransplantation

Identifiers

PMID37029764
PMCPMC10952910

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.