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Pande, N.

Publications and source records attributed to Pande, N..

3 recordsLinked to original sources

GPR17 modulates oligodendrocyte precursor cell maturation during development but has limited impact on myelin regeneration following demyelinating insults

Pharmacological enhancement of myelin regeneration is broadly recognized as the next frontier in therapeutic approaches for demyelinating diseases of the CNS such as multiple sclerosis. However, although several molecular targets for remyelination have been tested preclinically and in clinical trials, an efficacious and safe myelin repair treatment is yet to be developed. One promising molecular target to enhance myelin repair is the G protein-coupled receptor (GPCR) GPR17, which has been proposed to play a central role in the transition from early oligodendrocyte progenitor cells (OPC) into pre-myelinating oligodendrocytes. These findings are largely supported by studies using transgenic mice where GPR17 deletion results in developmental hypermyelination. Additionally, pharmacological modulation of GPR17 activity has been reported to enhance oligodendrocyte precursor cell (OPC) maturation and myelination. In our studies aimed to characterize and pharmacologically validate GPR17 as a viable target for drug development, we established by means of transcriptional profiling of GPR17 knockout versus wild type OPCs, that absence of this GPCR results in a gene signature revealing minor changes in myelin protein gene expression. Furthermore, blocking GPR17 receptor activity in OPC cultures using selective and potent antagonists or inverse agonists, results in limited enhancement of maturation and myelination in vitro. Importantly, remyelination in both the cuprizone and lysolecithin-induced demyelination models was not enhanced in the absence of GPR17. Our data demonstrate that GPR17 plays a minor role in OPC differentiation during development, and pharmacological modulation of its activity has a marginal effect on oligodendrocyte precursor maturation and myelin regeneration after injury.

neuroscience↗

Highly conserved brain vascular receptor ALPL mediates transport of engineered viral vectors across the blood-brain barrier

Delivery of systemically administered therapeutics to the central nervous system (CNS) is restricted by the blood-brain barrier (BBB). Bioengineered Adeno-Associated Virus (AAV) capsids have been shown to penetrate the BBB with great efficacy in mouse and non-human primate models, but their translational potential is often limited by species selectivity and undefined mechanisms of action. Here, we apply our RNA-guided TRACER AAV capsid evolution platform to generate VCAP-102, an AAV9 variant with markedly increased brain tropism following intravenous delivery in both rodents and primates. VCAP-102 demonstrates a similar CNS tropism in cynomolgus macaque, african green monkey, marmoset and mouse, showing 20- to 400-fold increased transgene expression across multiple brain regions relative to AAV9. We demonstrate that the enhanced CNS tropism of VCAP-102 results from direct interaction with alkaline phosphatase (ALPL), a highly conserved membrane-associated protein expressed on the brain vasculature. VCAP-102 interacts with human, primate and murine ALPL isoforms, and ectopic expression of ALPL is sufficient to initiate receptor-mediated transcytosis of VCAP-102 in an in vitro transwell model. Our work identifies VCAP-102 as a cross-species CNS gene delivery vector with a strong potential for clinical translation and establishes ALPL as a brain delivery shuttle capable of efficient BBB transport to maximize CNS delivery of biotherapeutics.

neuroscience↗

Large-scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines

Perturbation biology is a powerful approach to developing quantitative models of cellular behaviors and gaining mechanistic insights into disease development. In recent years, large-scale resources for phenotypic and mRNA responses of cancer cell lines to perturbations have been generated. However, similar large-scale protein response resources are not available, resulting in a critical knowledge gap for elucidating oncogenic mechanisms and developing effective cancer therapies. Here we generated and compiled perturbed expression profiles of ~210 clinically relevant proteins in >12,000 cancer cell-line samples in response to >150 drug compounds using reverse-phase protein arrays. We show that integrating protein response signals substantially increases the predictive power for drug sensitivity and aids in gaining insights into mechanisms of drug resistance. We build a systematic map of protein-drug connectivity and develop an open-access, user-friendly data portal for community use. Our study provides a valuable information resource for a broad range of quantitative modeling and biomedical applications. HighlightsO_LIA large collection of cancer cell line protein responses to drug perturbations C_LIO_LIPerturbed protein responses greatly increase predictive power for drug sensitivity C_LIO_LIBuild a systematic map of protein-drug connectivity based on response profiles C_LIO_LIDevelop a user-friendly, interactive data portal for community use C_LI

systems biology↗