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Goldsmith, T. M.

Publications and source records attributed to Goldsmith, T. M..

2 recordsLinked to original sources

An adapted stem cell-derived microglia protocol for the study of microgliopathies and other neurological disorders

BackgroundAdult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a primary microgliopathy caused by pathogenic variants in the colony-stimulating factor 1 receptor (CSF1R) gene. Since CSF1R signaling is crucial for microglia development, survival and function, induced pluripotent stem cell-derived microglia (iMGL) represent an excellent tool in studying microglial defects caused by ALSP patient-specific CSF1R variants. MethodsSerial modifications to an existing iMGL protocol were made, including but not limited to changes in growth factor combination to drive microglial differentiation, until successful derivation of microglia-like cells from an ALSP patient carrying a c.2350G > A (p.V784M) CSF1R variant. Using healthy control lines, the quality of the new iMGL protocol was validated through cell yield assessment, measurement of microglia marker expression, transcriptomic comparison to primary microglia, and evaluation of inflammatory and phagocytic activities. Similarly, molecular and functional characterization of the ALSP patient-derived iMGL was carried out in comparison to healthy control iMGL. ResultsThe newly devised protocol allowed the generation of iMGL with enhanced transcriptomic similarity to primary human microglia and with higher phagocytic and inflammatory competence at [~]3-fold greater yield compared to the original protocol. Using this protocol, decreased CSF1R autophosphorylation and cell surface expression was observed in iMGL derived from the ALSP patient compared to those derived from healthy controls. Additionally, ALSP patient-derived iMGL presented a migratory defect accompanying a temporal reduction in purinergic receptor P2Y12 (P2RY12) expression. Finally, ALSP patient-derived cells showed surprisingly high phagocytic capacity, which was associated with higher lysosomal content. ConclusionsWe optimized a pre-existing iMGL protocol, generating a powerful tool to study microglial involvement in human neurological diseases. Using the optimized protocol, we have generated for the first time iMGL from an ALSP patient carrying a pathogenic CSF1R variant, with preliminary characterization pointing toward functional alterations in migratory and phagocytic activities.

neuroscience↗

CelltypeR: A framework to identify and characterize cell types in human midbrain organoids using flow cytometry

Motivated by the growing number of single cell RNA sequencing datasets (scRNAseq) revealing the cellular heterogeneity in complex tissues, particularly in brain and induced pluripotent stem cell (iPSC)-derived brain models, we developed a high-throughput, standardized approach for reproducibly characterizing cell types in complex neuronal tissues based on protein expression levels. Our approach combines a flow cytometry (FC) antibody panel targeting brain cells with a computational pipeline called CelltypeR, with functions for aligning and transforming datasets, optimizing unsupervised clustering, annotating and quantifying cell types, and statistical comparisons. We applied this workflow to human iPSC-derived midbrain organoids and identified the expected brain cell types, including neurons, astrocytes, radial glia, and oligodendrocytes. Defining gates based on the expression levels of our protein markers, we performed Fluorescence-Activated Cell Sorting of astrocytes, radial glia, and neurons, cell types were then confirmed by scRNAseq. Among the sorted neurons, we identified three subgroups of dopamine (DA) neurons; one reminiscent of substantia nigra DA neurons, the cell type most vulnerable in Parkinsons disease. Finally, we use our workflow to track cell types across a time course of organoid differentiation. Overall, our adaptable analysis framework provides a generalizable method for reproducibly identifying cell types across FC datasets.

neuroscience↗