Biology subjects

Patel, A. P.

Publications and source records attributed to Patel, A. P..

10 recordsLinked to original sources

bioRxiv2025

HCN channels reveal conserved and divergent physiology in supragranular pyramidal neurons in primate species

The physiological properties of human and rodent neurons differ, yet the extent to which these differences reflect human specializations is often unclear. Compared with their rodent counterparts, human supragranular pyramidal neurons possess enriched HCN-channel-dependent intrinsic membrane properties and a related sensitivity to synaptic inputs containing delta/theta band frequencies. We tested whether other primate species possess enriched HCN-channel dependent membrane properties. We found ubiquitous HCN1 subunit gene expression in supragranular glutamatergic neurons across New World Monkeys, Old-World Monkeys, and great apes in single nucleus RNA-sequencing datasets. Using Patch-seq recordings from acute and cultured brain slices, we found robust HCN-dependent physiological properties in supragranular pyramidal neurons in a species of New-World monkey (Saimiri sciureus) and two species of Old-World Monkey (Macaca mulatta, Macaca nemestrina). In both human and macaque neocortex, HCN-related intrinsic properties increased in magnitude with increasing laminar depth, especially in one transcriptomic cell type. Within this type, HCN dependent properties were more pronounced in macaque than human neurons. These findings indicate that HCN-governed membrane properties and sensitivity to delta/theta band frequencies are roughly conserved in supragranular pyramidal neurons across at least 36 million years of primate evolution.

neuroscience↗

bioRxiv2025

A Spatial Multi-Omic Framework Identifies Gliomas Permissive to TIL Expansion

Tumor-infiltrating lymphocyte (TIL) therapy is effective in several tumor types; however, its feasibility in immune subversive tumors like glioblastoma is unclear. We expanded TILs from glioblastoma specimens and observed marked variability in yield, composition, function, and TCR clonality. By interrogating TILs expanded ex vivo alongside their sourced glioma tissue, we sought to identify determinants of successful (TIL+) vs unsuccessful TIL expansion (TIL-). Expanded TILs were predominantly effector memory CD4 cells and exhibited oligoclonal TCR enrichment. Despite similar T cell abundance in TIL vs TIL- tumors, TIL tumors exhibited distinct spatial organization and cellular interactions, including increased endothelial-immune interactions/ proximity and enrichment of vascular-associated niches. CD4 T cells localized near CD68 macrophages in TIL tumors, while they were positioned near CD163 CD206 macrophages in TIL- tumors. Thus, TIL expansion and functionality are linked to spatial organization and myeloid context; these features may enable biomarker-driven stratification for future TIL therapy in gliomas.

cancer biology↗

bioRxiv2024

Breaking out of the cell cycle: Including quiescence in cell cycle classification

Single-cell transcriptomics has unveiled a vast landscape of cellular heterogeneity in which the cell cycle is a significant component. We trained a high-resolution cell cycle classifier (ccAFv2) using single cell RNA-seq (scRNA-seq) characterized human neural stem cells. The ccAFv2 classifies six cell cycle states (G1, Late G1, S, S/G2, G2/M, and M/Early G1) and a quiescent-like G0 state (Neural G0), and it incorporates a tunable parameter to filter out less certain classifications. The ccAFv2 classifier performed better than or equivalent to other state-of-the-art methods even while classifying more cell cycle states, including G0. We demonstrate that the ccAFv2 classifier effectively generalizes the S, S/G2, G2/M, and M/Early G1 states across cell types derived from all three germ layers. While the G0, G1, and Late G1 states perform well in neuroepithelial cell types, their accuracy is lower in other cell types. However, misclassifications are confined to the G0, G1, and Late G1 states. We showcased the versatility of ccAFv2 by successfully applying it to classify cells, nuclei, and spatial transcriptomics data in humans and mice, using various normalization methods and gene identifiers. We provide methods to regress the cell cycle expression patterns out of single cell or nuclei data to uncover underlying biological signals. The classifier can be used either as an R package integrated with Seurat or a PyPI package integrated with SCANPY. We proved that ccAFv2 has enhanced accuracy, flexibility, and adaptability across various experimental conditions, establishing ccAFv2 as a powerful tool for dissecting complex biological systems, unraveling cellular heterogeneity, and deciphering the molecular mechanisms by which proliferation and quiescence affect cellular processes.

cell biology↗

bioRxiv2024

Gene Regulatory Network topology governs resistance and treatment escape in glioma stem-like cells

Poor prognosis and drug resistance in glioblastoma (GBM) manifests from heterogeneity and treatment-induced shifts in phenotypic states of tumor cells, including dedifferentiation to glioma stem-like cells (GSCs). This rare tumorigenic cell subpopulation is inherently resistant to temozolomide, undergoes proneural-to-mesenchymal transition (PMT) to evade therapy, and thereby drives recurrence. Through inference of transcriptional regulatory networks (TRNs) of patient-derived GSCs (PD-GSCs) at single-cell resolution, we demonstrate how topology of transcription factor interactions drives distinct trajectories of cell state transitions of susceptible and resistant PD-GSCs in response to cytotoxic drug treatment. By experimentally testing TRN simulation-based predictions, we show that drug treatment drives surviving cells of a PD-GSC along a trajectory of intermediate states, akin to a bottleneck in gene expression space, exposing vulnerability to potentiated killing by sequential addition of siRNA or a second drug targeting transcriptional programs governing non-genetic plasticity of a PD-GSC. Thus, our findings demonstrate an approach to uncover and use TRN topology of a PD-GSC to rationally predict combinatorial and sequential treatments that block treatment escape and acquired resistance in GBM.

systems biology↗

bioRxiv2023

Suppressor of Cytokine Signaling 3 Derived Peptide as a Therapeutic for Inflammatory, and Oxidative Stress Induced Damage to the Retina

PurposeInflammation and oxidative stress are contributing factors to age-related macular degeneration (AMD) and other retinal diseases. We tested a cell penetrating peptide from the kinase inhibitory region of intracellular checkpoint inhibitor Suppressor of Cytokine Signaling 3 (R9-SOCS3-KIR) peptide for its ability to blunt the inflammatory or oxidative pathways leading to AMD. MethodsWe used Anaphylatoxin C5a to mimic the effect of activated complement, lipopolysaccharide (LPS) and TNF to stimulate inflammation, and paraquat to induce mitochondrial oxidative stress. We used a human RPE cell line (ARPE-19) as proliferating cells and a mouse macrophage cell line (J774A.1) to follow cell propagation by microscopy or cell titer assays. We evaluated inflammatory pathways by monitoring nuclear translocation of NF-{kappa}B p65 and MAP kinase p38, and we used qRT-PCR and Western blots to evaluate induction of inflammatory markers. In differentiated ARPE-19 monolayers, we evaluated the integrity of tight junction proteins by microscopy and measurement of transepithelial electrical resistance. We used intraperitoneal injection of sodium iodate to test the ability of R9-SOC3-KIR to prevent RPE and retinal injury as assessed by fundoscopy, Optical Coherence Tomography (OCT) and histology. ResultsR9-SOCS3-KIR treatment suppressed C5a-induced nuclear translocation of the NF-kB activation domain p65 in undifferentiated ARPE-19 cells. TNF-mediated damage to tight junction proteins in RPE and the loss of transepithelial electrical resistance were prevented in the presence of R9-SOCS3-KIR. R9-SOCS3-KIR prevented the increased expression of genes related to inflammation in response to C5a treatment. R9-SOCS3-KIR also blocked lipopolysaccharide (LPS) induction of cyclooxygenase and inflammatory markers including IL-6, MCP1, COX-1 and IL-1{beta}. R9-SOCS3-KIR prevented paraquat mediated cell death and enhanced the levels of antioxidant effectors. Daily eye drop instillation of R9-SOCS3-KIR protected against retinal injury caused by i.p. administration of sodium iodate. ConclusionR9-SOCS3-KIR blocks the induction of inflammatory signaling in cell culture and reduces retinal damage in a widely used model of RPE/retina oxidative injury. Since this peptide can be administered by corneal instillation, this treatment may offer a convenient way to slow the progression of ocular diseases arising from inflammation and chronic oxidative stress.

immunology↗

bioRxiv2021

Binocular Benefit Following Monocular Subretinal AAV Injection in a Mouse Model of Autosomal Dominant Retinitis Pigmentosa (adRP)

Autosomal dominant retinitis pigmentosa (adRP) is frequently caused by mutations in RHO, the gene for rhodopsin. In previous experiments in dogs with the T4R mutation in RHO, an AAV2/5 vector expressing both an shRNA directed to human and dog RHO mRNA and an shRNA-resistant human RHO cDNA (AAV-RHO820-shRNA820) prevented retinal degeneration for more than 8 months following injection. To confirm that this same vector could protect the retinas of a different species and bearing a different RHO mutation, we injected mice transgenic for human P23H RHO at postnatal day 30 in one eye. For nine months, we monitored their retinal structure using spectral- domain optical coherence tomography (SD-OCT) and retinal function using electroretinography (ERG). We compared these to P23H RHO transgenic mice injected with AAV-GFP. Though retinas continued to thin over time, compared to control injected eyes, AAV-RHO820-shRNA820 slowed the loss of photoreceptor cells and decreased ERG amplitudes in AAV-RHO820-shRNA820 eyes during the nine-month study period. Unexpectedly, we also observed preservation of retinal structure and function in the untreated contralateral eyes of AAV-RHO820-shRNA820 treated mice. PCR analysis and western blots provided evidence that a low amount of vector from injected eyes was present in uninjected eyes.

neuroscience↗

bioRxiv2021

The Aspartyl Protease Ddi1 Is Essential for Erythrocyte Invasion by the Malaria Parasite

Malaria pathology is caused by the exponential replication of Plasmodium parasites in the blood stream. The bottleneck of the parasite life cycle is the invasion of erythrocytes immediately after parasites egress from infected red blood cells. DNA damage-inducible protein 1 (Ddi1) is a conserved eukaryotic proteasome shuttle protein containing an internal retroviral-like protease domain. Using conditional genetics, we now show that the proteolytic activity of the P. falciparum homologue, PfDdi1, is critically required for invasion of red blood cells. Furthermore, PfDdi1 disruption results in the accumulation of highly polyubiquitinated proteins that can be processed by purified PfDdi1 or distant eukaryotic homologues. We also show that PfDdi1 interacts with multiple components of the ubiquitin-proteasome system and that parasites lacking PfDdi1 are more sensitive to proteasome inhibition. Overall, this study establishes PfDdi1 as a key component of the eukaryotic ubiquitin-proteasome system and as a promising antimalarial target.

cell biology↗

bioRxiv2021

High Content and High Throughout Phenotypic Assay for the Hourly Resolution of the Malaria Parasite Erythrocytic Cycle

Over the last 20 years increased funding for malaria research has resulted in very significant technical advances to study the biology of Plasmodium species. High throughput phenotypic assays have been developed to screen millions of compounds and identify small molecules with antiparasitic activity. At the same time, advances in malaria genetic have greatly facilitated the generation of genetically modified parasites, and whole genome genetic screens are now feasible in Plasmodium species. Finally, there has been an increased interest to study malaria parasites at the population level, in particular in the area of drug resistance. Drug resistant field isolates have been collected around the world, and drug resistant strains are routinely generated in the lab to study the mechanisms of drug resistance. As a result, one of the current bottlenecks in malaria research is our ability to quickly characterize the phenotype associated with compound treatment or genetic modification, or to quickly compare differences in intracellular development between strains. Here, we present a high content/high throughput phenotypic assay that combines highly selective RNA, DNA, and RBC membrane dyes to provide hourly resolution of the full erythrocytic cycle for both P. falciparum and P. knowlesi. A flow cytometry assay allows the analysis of samples in a 384-well format and a quick way to determine the parasite developmental stage. On the other hand, the fluorescence microscopy format allows for a detailed visualization of parasite morphology. Finally, using open source software we have developed protocols for the automated cluster analysis of microscopy images. This assay can be applied to any Plasmodium species, requires very little amount of sample, is performed with fixed cells, and is easily scalable. Overall, we believe this assay will be a great tool for the malaria community to study Plasmodium species.

microbiology↗

bioRxiv2020

Fibrillar α-synuclein induces neurotoxic astrocyte activation via RIP kinase signaling and NF-κB

Parkinsons disease (PD) is a neurodegenerative disorder characterized by death of midbrain dopamine neurons. The pathogenesis of PD is poorly understood, though misfolded and/or aggregated forms of the protein -synuclein have been implicated in several neurodegenerative disease processes, including neuroinflammation and astrocyte activation. Astrocytes in the midbrain play complex roles during PD, initiating both harmful and protective processes that vary over the course of disease. However, despite their significant regulatory roles during neurodegeneration, the cellular and molecular mechanisms that promote pathogenic astrocyte activity remain mysterious. Here, we show that -synuclein preformed fibrils (PFFs) induce pathogenic activation of human midbrain astrocytes, marked by inflammatory transcriptional responses, downregulation of phagocytic function, and conferral of neurotoxic activity. These effects required the necroptotic kinases RIPK1 and RIPK3, but were independent of MLKL and necroptosis. Instead, both transcriptional and functional markers of astrocyte activation occurred via RIPK-dependent activation of NF-{kappa}B signaling. Our study identifies a previously unknown function for -synuclein in promoting neurotoxic astrocyte activation, as well as new cell death-independent roles for RIP kinase signaling in the regulation of glial cell biology and neuroinflammation. Together, these findings highlight previously unappreciated molecular mechanisms of pathologic astrocyte activation and neuronal cell death with implications for Parkinsonian neurodegeneration.

neuroscience↗

bioRxiv2020

Single-cell analysis of chromatin silencing programs in developmental and tumor progression

Single-cell analysis has become a powerful approach for the molecular characterization of complex tissues. Methods for quantifying gene expression1 and chromatin accessibility2 of single cells are now well-established, but analysis of chromatin regions with specific histone modifications has been technically challenging. Here, we adapt the recently published CUT&Tag method3 to scalable single-cell platforms to profile chromatin landscapes in single cells (scCUT&Tag) from complex tissues. We focus on profiling Polycomb Group (PcG) silenced regions marked by H3K27 trimethylation (H3K27me3) in single cells as an orthogonal approach to chromatin accessibility for identifying cell states. We show that scCUT&Tag profiling of H3K27me3 distinguishes cell types in human blood and allows the generation of cell-type-specific PcG landscapes from heterogeneous tissues. Furthermore, we use scCUT&Tag to profile H3K27me3 in a brain tumor patient before and after treatment, identifying cell types in the tumor microenvironment and heterogeneity in PcG activity in the primary sample and after treatment.

genomics↗