Scientists develop universal FACS-based approach to heterogenous cell sorting, propelling organoid research

A team at the Icahn School of Medicine at Mount Sinai have developed a series of novel fluorescence‐assisted cell sorting (FACS) protocols that enable isolation of neural progenitors, astrocytes, and neurons from virus‐infected cerebral organoids, for downstream multi-omics analysis.

This work provides a solution to the challenge of developing assays that return meaningful data from complex in vitro organoid models, as the ability to sort homogenous cell populations from a heterogeneous system underpins the basis of assay development. The team have validated the translatability of their technique by demonstrating the amenability of isolated cell populations to downstream epigenetic and gene expression assays.

Researchers have developed three novel FACS protocols that can be used to isolate neural progenitors, astrocytes, and neurons from virus-infected cerebral organoids.Illustration Forest | Shutterstock

The use of simplified miniature organs grown in vitro, called organoids, has provided an excellent model system to study human disease and organ development. The three-dimensional nature of organoids provides the closest mimic of in vivo conditions, and as such, allows researchers to explore organ development and model complex human disorders.

Brain development and disorders are emerging threads of both developmental biology and regenerative medicine and brain organoids are therefore the organoid system of focus. Brain organoids also enable researchers to determine the impact of viral infections on brain development.

Of notable interest is the Zika virus, particularly as a causal link between prenatal Zika virus infection and congenital microcephaly has been established. Until recently, the use of organoids in the study of viral infections or treatments has been limited by their poor amenability to downstream multi-omics analysis – particularly as the heterogeneous cell populations that comprise the organ are notoriously difficult to separate.

Three protocols, one goal

Led by Professor Sylvie Janssens, the team developed three protocols for the FACS based identification and isolation of specific neuronal cell populations from virus-infected cerebral organoids.

The first describes the generation of a two-dimensional (2D) culture that is highly optimized for viral infection. To achieve this, the team cultured human Embryonic Stem Cells (hESCs) on Matrigel over 12-weeks and collected and dissociated the resultant cerebral organoids. These were plated and left to establish cellular interactions for the generation of 2D cerebral organoid culture. To test the success of viral infection, Zika virus infected cerebral organoids were visual

The second protocol developed by Janssens et al. outlines the preparation of Zika virus stocks, infection of cerebral organoid cultures and their subsequent preparation for FACS. Viral stocks were grown, and the appropriate serial dilution required for optimal viral titer (plaque forming units (pfu) of virus used for infection) was determined by plaque assay.

The appropriate amount of virus was subsequently used to infect cerebral organoid cultures; cells were left for 72 hours following infection. To prepare cells for FACS, the team carried out immunostaining of via fluorophore‐conjugated antibodies for cell surface markers. To determine the success of viral infection cells were also stained with a fluorophore-conjugated antibody against ZIKV.

In their final protocol, the team outlines how to set the parameters and gates for optimized separation of cerebral organoid–derived cells by cell type, as inferred by fluorescent labelling. Their protocol includes a six‐color cell sorting approach for precise functional characterization of cells. This included the determination of the optimal settings required to generate the forward and side scatter.

Following the optimization of FACS operation, Janssens and colleagues outline cell sorting methods; firstly, sorting of infected cells based on fluorophore-labelled antibody binding to the Zika virus, followed by application of a gating scheme to isolate astrocyte, neural progenitor cells and neurons. Cells were then processed for downstream applications – particularly in the multi-omics analysis.

Expanding the potential for downstream analyses

The universality of the protocol was demonstrated by the team; the use of a single‐cycle HIV lentiviral reporter virus exemplified the extension of the protocol to include other viruses capable of human neuronal cell infection.

This single-cycle lentiviral vector expressing a GFP reporter gene was combined with the vesicular stomatitis virus (VSV‐G) envelope glycoprotein to generate a viral pseudotype. The team then infected the organoid culture with the lentiviral reporter virus and sorted the cells using the flow cytometer settings and gating strategy outlined in their second protocol.

Janssens and colleagues project that their FACS-based protocol will enable a comprehensive analysis of defined cell types in complex multicellular organoids, which have provided precise recapitulation of the in vivo environment.

FACS over microscopy‐based cell identification not only reduces output quantification errors, but also expands choices for downstream analyses of the identified cell.”

Sylvie Janssens, Lead Researcher

Acknowledgments

This work was supported by the Huffington Foundation (T.P.Z.), NIH grants (NIH/NIAID U19AI118610 and R21AI129486 to A. G.‐S. and R21 AI125236 to V. S.), and the Belgian American Educational Foundation (fellowships to S. J. and M. S.). The authors declare no competing financial interests.

Journal reference:

Janssens et al. (2019) FACS‐Mediated Isolation of Neuronal Cell Populations From Virus‐Infected Human Embryonic Stem Cell–Derived Cerebral Organoid Cultures. Current Protocols in Stem Cell Biology. https://doi.org/10.1002/cpsc.65

Hidaya Aliouche

Written by

Hidaya Aliouche

Hidaya is a science communications enthusiast who has recently graduated and is embarking on a career in the science and medical copywriting. She has a B.Sc. in Biochemistry from The University of Manchester. She is passionate about writing and is particularly interested in microbiology, immunology, and biochemistry.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Aliouche, Hidaya. (2023, March 30). Scientists develop universal FACS-based approach to heterogenous cell sorting, propelling organoid research. News-Medical. Retrieved on November 21, 2024 from https://www.news-medical.net/news/20190619/Scientists-develop-universal-FACS-based-approach-to-heterogenous-cell-sorting-propelling-organoid-research.aspx.

  • MLA

    Aliouche, Hidaya. "Scientists develop universal FACS-based approach to heterogenous cell sorting, propelling organoid research". News-Medical. 21 November 2024. <https://www.news-medical.net/news/20190619/Scientists-develop-universal-FACS-based-approach-to-heterogenous-cell-sorting-propelling-organoid-research.aspx>.

  • Chicago

    Aliouche, Hidaya. "Scientists develop universal FACS-based approach to heterogenous cell sorting, propelling organoid research". News-Medical. https://www.news-medical.net/news/20190619/Scientists-develop-universal-FACS-based-approach-to-heterogenous-cell-sorting-propelling-organoid-research.aspx. (accessed November 21, 2024).

  • Harvard

    Aliouche, Hidaya. 2023. Scientists develop universal FACS-based approach to heterogenous cell sorting, propelling organoid research. News-Medical, viewed 21 November 2024, https://www.news-medical.net/news/20190619/Scientists-develop-universal-FACS-based-approach-to-heterogenous-cell-sorting-propelling-organoid-research.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.