Biology subjects

Phadke, R. A.

Publications and source records attributed to Phadke, R. A..

5 recordsLinked to original sources

bioRxiv2026

Environmental risk reshapes high-confidence schizophrenia risk genes during a developmental window of vulnerability

Rare coding variants and environmental exposures such as early-life stress contribute to schizophrenia risk, but whether environmental adversity alters the expression of genetically implicated genes remains unclear. Combining the limited bedding and nesting (LBN) model of early-life stress (ELS) with 24-plex single-cell mFISH registered to the Allen Mouse Brain Atlas, we profiled the ten genes identified in the original SCHEMA study, the complement gene C4b and activity markers in 1.29 million cells across four postnatal ages. Whole-brain risk-gene upregulation was greatest at postnatal day 21 (P21), with region- and cell-type-selective effects that prominently involved the hypothalamus. Sp4 and Cacna1g showed distinct temporal responses: Sp4 increased at P21 and decreased at P90 in hypothalamic oligodendrocytes, whereas Cacna1g decreased at P10. ELS-associated C4b upregulation extended across neuronal and glial populations, including oligodendrocytes and OPCs. Across regional cell types, P10 C4b effects were positively correlated with P21 Grin2a effects. These findings suggest that ELS perturbs the developmental expression of genes implicated in schizophrenia, identifying potential molecular links between environmental adversity and genetic vulnerability.

neuroscience↗

bioRxiv2025

Increased Complement C4 in a Sparse Neuronal Subset Induces Network-Wide Transcriptomic Alterations in the Prefrontal Cortex

The complement component C4 regulates synaptic refinement and plasticity in the brain and has been implicated in multiple neurological and psychiatric disorders, with especially strong genetic evidence linking elevated C4A expression to schizophrenia. However, it remains unclear whether localized C4 elevation in a small neuronal population is sufficient to reshape broader cortical gene-regulatory programs and cellular phenotypes. To address this question, we overexpressed mouse C4 in approximately 2% of prefrontal cortical neurons using in utero electroporation and performed bulk RNA sequencing on microdissected prefrontal cortex. Despite the sparse manipulation, C4 OE was associated with broad transcriptional remodeling across tissue composed predominantly of untransfected cells, including coordinated changes in cholesterol biosynthesis, axon and synaptic associated programs, vascular/ECM pathways, and immune and stress related responses. Comparison with a schizophrenia synaptic proteomic dataset identified limited global correspondence but selective gene and pathway level overlap in specific molecular programs. Reference based projection of directional DEG signatures onto a cortical single cell transcriptomic reference further identified cell type-associated structure, including prominent astrocyte and vascular associated axes and distinct lipid/metabolic, vascular/endothelial interferon associated, and immune/stress correlation domains. Spatial validation with MFISH showed increased Hmgcr expression in neighboring GFP-negative cells, while PLIN2 imaging revealed increased DAPI-associated/perinuclear lipid-droplet burden within the local C4 OE field. Together, these findings support a model in which sparse neuronal C4 elevation is associated with broader remodeling of the local cortical environment, including a non-cell-autonomous component involving neighboring cell lipid associated responses. These results expand the interpretation of C4 risk biology beyond synapse elimination alone and suggest that focal immune-gene dysregulation can engage lipid-homeostatic, stress-related, and cell-type-associated transcriptional programs relevant to cortical circuit vulnerability.

neuroscience↗

bioRxiv2024

Overexpression of the schizophrenia risk gene C4 in PV cells drives sex-dependent behavioral deficits and circuit dysfunction.

Fast-spiking parvalbumin (PV)-positive cells are key players in orchestrating pyramidal neuron activity, and their dysfunction is consistently observed in myriad brain diseases. To understand how immune complement dysregulation - a prevalent locus of brain disease etiology - in PV cells may drive disease pathogenesis, we have developed a transgenic mouse line that permits cell-type specific overexpression of the schizophrenia-associated complement component 4 (C4) gene. We found that overexpression of mouse C4 (mC4) in PV cells causes sex-specific behavioral alterations and concomitant deficits in synaptic connectivity and excitability of PV cells of the prefrontal cortex. Using a computational network, we demonstrated that these microcircuit deficits led to hyperactivity and disrupted neural communication. Finally, pan-neuronal overexpression of mC4 failed to evoke the same deficits in behavior as PV-specific mC4 overexpression, suggesting that C4 perturbations in fast-spiking neurons are more harmful to brain function than pan-neuronal alterations. Together, these results provide a causative link between C4 and the vulnerability of PV cells in brain disease.

neuroscience↗

bioRxiv2023

C4 induces pathological synaptic loss by impairing AMPAR trafficking.

During development, activation of the complement pathway, an extracellular proteolytic cascade, results in microglia-dependent synaptic elimination via complement receptor 3 (CR3). Here, we report that decreased connectivity caused by overexpression of C4 (C4-OE), a schizophrenia-associated gene, is CR3 independent. Instead, C4-OE triggers GluR1 degradation through an intracellular mechanism involving endosomal trafficking protein SNX27, resulting in pathological synaptic loss. Moreover, the connectivity deficits associated with C4-OE were rescued by increasing levels of SNX27, linking excessive complement activity to an intracellular endolysosomal recycling pathway affecting synapses.

neuroscience↗

bioRxiv2023

REVEALS: An Open Source Multi Camera GUI For Rodent Behavior Acquisition

Understanding the rich behavioral data generated by mice is essential for deciphering the function of the healthy and diseased brain. However, the current landscape lacks effective, affordable, and accessible methods for acquiring such data, especially when employing multiple cameras simultaneously. We have developed REVEALS (Rodent BEhaVior Multi-camErA Laboratory AcquiSition), a graphical user interface (GUI) written in python for acquiring rodent behavioral data via commonly used USB3 cameras. REVEALS allows for user-friendly control of recording from one or multiple cameras simultaneously while streamlining the data acquisition process, enabling researchers to collect and analyze large datasets efficiently. We release this software package as a stand-alone, open-source framework for researchers to use and modify according to their needs. We describe the details of the GUI implementation, including the camera control software and the video recording functionality. We validate results demonstrating the GUIs stability, reliability, and accuracy for capturing and analyzing rodent behavior using DeepLabCut pose estimation in both an object and social interaction assay. REVEALS can also be incorporated into other custom pipelines to analyze complex behavior, such as MoSeq. In summary, REVEALS provides an interface for collecting behavioral data from one or multiple perspectives that, combined with deep learning algorithms, will allow the scientific community to discover and characterize complex behavioral phenotypes to understand brain function better.

neuroscience↗