Biology subjects

Rajbhandari, P.

Publications and source records attributed to Rajbhandari, P..

10 recordsLinked to original sources

bioRxiv2026

Regulatory T cells establish an IL-10-IL10R immunometabolic checkpoint that limits HSL activation and lipolysis

Adipose tissue harbors a significant population of regulatory T (Treg) cells that enforce immune homeostasis, yet whether Tregs function as an immunometabolic checkpoint to directly regulate core adipocyte signaling programs remains incompletely defined. Here we show that adipose Tregs function as a dominant, time-dependent checkpoint on {beta}-adrenergic signal-driven lipolytic program and signal transduction in adipocytes. Our integrated scRNA-seq, flow cytometry, and phosphoproteomics data show that prolonged adrenergic stimulation induces a progressive attenuation of activation of key lipase hormone-sensitive lipase (HSL) that coincides with Treg depletion in circulation and accumulation within white adipose tissue. Genetic perturbations establish Treg-derived interleukin-10 (IL-10) as the key mediator of this brake. IL-10 signaling through adipocyte IL-10R suppresses adrenergic HSL activation and rewires downstream signaling nodes that govern catecholamine responsiveness, lipolysis, and systemic energy homeostasis. Mechanistically, IL-10R engages a STAT3-dependent transcriptional program that induces the G-protein regulators RGS2 and RGS3, diminished PKA flux to HSL that reinforces suppression of the HSL activation state and lipolysis. Together, these findings define an adrenergic-immune feedback circuit in which Tregs fine tune the amplitude and duration of catecholamine responsiveness in adipocytes, establishing immune control of a core lipolytic pathway with implications for obesity-associated adipose dysfunction.

cell biology↗

bioRxiv2026

LYNX: a deep generative model for linking spatial dynamics and cellinteractions in multimodal spatial data

Tissues are spatially organized systems in which cell states, functions and interactions vary across spatial coordinates, forming compartments or gradients shaped by local microenvironments. Understanding how molecular features and cell-cell interactions change across space and time is central to studying development, homeostasis and disease. Addressing these questions increasingly requires the integration of multi-modal spatial data, which provides complementary views of cellular and structural organization. However, existing computational approaches typically combine modalities by weighting them equally, overlooking domain-specific technical artifacts, differences in spatial resolution and non-overlapping feature spaces. In addition, methods for spatial cell-cell communication analysis are largely developed for single-modality settings and do not model how interactions vary across the tissue. To address these gaps, we introduce LYNX, a deep generative framework that learns a shared latent representation of spatial dynamics from joint-measured modalities in the 2D or 3D domain, to provide a unified coordinate system for modeling how cell-cell interactions, phenotypes, and molecular programs vary along continuous spatial gradients. LYNX identifies spatial programs difficult to resolve with existing approaches, including metabolically coupled porto-central interaction remodeling in liver, recovery of degraded proteomic signals along the cortico-medullary axis in thymus, and branching trajectories towards DCIS and invasive niches marked by distinct stromal activation-states and immune-tumor crosstalk in breast tumor microenvironment. We demonstrate that LYNX robustly infers spatially resolved gradients, maps functional compartments and cell-cell interactions along spatial axes and is compatible across diverse spatial profiling technologies, modalities, and resolution disparities. LYNX provides a foundational and scalable framework to advance our understanding of healthy tissue physiology and to decode temporal evolution of complex diseases.

bioengineering↗

bioRxiv2026

Tetherin enforces an immunometabolic checkpoint that coordinates glycolytic and interferon signaling in adipocytes

Coordination between innate immune signaling and glucose metabolism is fundamental to organismal homeostasis, yet despite decades of study linking immunity and metabolism, the mechanisms by which metabolic cells restrain antiviral innate signaling while preserving glycolytic competence during overnutrition remain poorly defined. Here we identify Tetherin (BST2) as a unique cell-intrinsic immunometabolic checkpoint that couples restraint of type I interferon (IFN-I) signaling to preservation of glycolytic capacity in adipocytes. Tetherin localizes to endoplasmic reticulum and organizes an interactome enriched for antiviral sensing regulators and glycolytic control nodes in adipocytes. Mechanistically, Tetherin directly engages the ubiquitin-dependent degradation machinery NDFIP1 and RNF128 to terminate IRF3 activation, thereby limiting pro-inflammatory, anti-glycolytic signaling and protecting adipocytes from metabolic dysfunction. In parallel, multiomics integration reveals that Tetherin also acts as a scaffold that binds and spatially organizes and activates PFKFB3 to increase glycolytic capacity and restrain MAVS-IRF3 innate immune signalling. In vivo, adipocyte-specific loss of Tetherin amplifies high sucrose diet and high-fat-diet-induced glucose intolerance and liver steatosis, whereas overexpression of human Tetherin in adipocyte suppresses obesity-driven interferon signaling, restores glycolytic pathway, and improves metabolic homeostasis. Orthogonal perturbations in cancer and insulinoma cells further confirm an immunometabolic role for Tetherin. Together, these findings define Tetherin as a dual node immunometabolic checkpoint that couples restraint of antiviral innate inflammatory signaling to maintenance of glycolytic competence, thereby safeguarding adipocyte metabolic homeostasis.

cell biology↗

bioRxiv2026

Disruption of Pre-Bötzinger Complex neuropeptidergic tonality controls fear and metabolic response

Stress profoundly impacts systemic metabolism, yet the central circuits linking stress responses to peripheral metabolic regulation remain poorly defined. Here, we identify the preBotzinger complex (preBotC), a brainstem breathing rhythm generator, as a key stress-responsive hub coordinating metabolic adaptations. Using viral tracing, we show that preBotC neurons project to brown adipose tissue and liver, and that a subset of these projection neurons expresses the pituitary adenylate cyclase-activating polypeptide (PACAP) receptor PAC1R, positioning PACAP signaling as a critical modulator of this circuit. Whole-brain c-Fos mapping revealed robust preBotC activation under stress, while spatial transcriptomics demonstrated altered neuronal metabolic circuitry in preBotC following PAC1R ablation. PAC1R knockdown in preBotC combined with stress resulted in blunted respiratory rhythmicity, reduced sympathetic innervation, and suppression of energy expenditure and lipid metabolic pathways in brown fat, while reprogramming hepatic transcriptional networks toward amino acid metabolism and gluconeogenesis. These findings define a unique neuropeptidergic brainstem-periphery circuit integrating stress, respiration, and metabolism. HighlightsO_LIPAC1R deletion in preBotC amplifies PTSD-like fear--greater generalization and freezing despite equal stress. C_LIO_LIPreBotC-PAC1R neurons send projections to BAT and liver, forming a respiratory-metabolic hub. C_LIO_LILoss of PAC1R lifts the preBotC "brake," raising resting breathing rate and magnifying stress-induced heart-rate spikes. C_LIO_LILoss of PAC1R show systemic metabolic failures--glucose intolerance, lower VO2 input, reduced energy expenditure, and weaker BAT sympathetic tone. C_LIO_LISpatial transcriptomics reveal marked shifts in preBotC neuronal subpopulations after PAC1R ablation. C_LI

neuroscience↗

bioRxiv2023

Sexually dimorphic role of diet and stress on behavior, energy metabolism, and the ventromedial hypothalamus

Scientific evidence underscores the influence of biological sex on the interplay between stress and metabolic dysfunctions. However, there is limited understanding of how diet and stress jointly contribute to metabolic dysregulation in both males and females. To address this gap, our study aimed to investigate the combined effects of a high-fat diet (HFD) and repeated footshock stress on fear-related behaviors and metabolic outcomes in male and female mice. Using a robust rodent model that recapitulates key aspects of post-traumatic stress disorder (PTSD), we subjected mice to footshock stressor followed by weekly reminder footshock stressor or no stressor for 14 weeks while on either an HFD or chow diet. Our findings revealed that HFD impaired fear memory extinction in male mice that received initial stressor but not in female mice. Blood glucose levels were influenced by both diet and sex, with HFD-fed female mice displaying elevated levels that returned to baseline in the absence of stress, a pattern not observed in male mice. Male mice on HFD exhibited higher energy expenditure, while HFD-fed female mice showed a decreased respiratory exchange ratio (RER). Sex-specific alterations in pro-inflammatory markers and abundance of hematopoietic stem cells were observed in chronically stressed mice on an HFD in different peripheral tissues, indicating the manifestation of distinct comorbid disorders. Single-nuclei RNA sequencing of the ventromedial hypothalamus from stressed mice on an HFD provided insights into sex-specific glial cell activation and cell-type-specific transcriptomic changes. In conclusion, our study offers a comprehensive understanding of the intricate interactions between stress, diet, sex, and various physiological and behavioral outcomes, shedding light on a potential brain region coordinating these interactions.

neuroscience↗

bioRxiv2022

Patterns and determinants of the global herbivorous mycobiome

In spite of their indispensable role in host nutrition, the anaerobic gut fungal (AGF) component of the herbivorous gut microbiome remains poorly characterized. To examine global patterns and determinants of AGF diversity, we generated and analyzed an amplicon dataset from 661 fecal samples from 34 animal species, 9 families, and 6 continents. We identified 56 novel genera, greatly expanding AGF diversity beyond current estimates. Both stochastic (homogenizing dispersal and drift) and deterministic (homogenizing selection) processes played an integral role in shaping AGF communities, with a higher level of stochasticity observed in foregut fermenters. Community structure analysis revealed a distinct pattern of phylosymbiosis, where host-associated (animal species, family, and gut type), rather than ecological (domestication status and biogeography) factors predominantly shaped the community. Hindgut fermenters exhibited stronger and more specific fungal-host associations, compared to broader mostly non-host specific associations in foregut fermenters. Transcriptomics-enabled phylogenomic and molecular clock analyses of 52 strains from 14 genera indicated that most genera with preferences for hindgut hosts evolved earlier (44-58 Mya), while those with preferences for foregut hosts evolved more recently (22-32 Mya). This pattern is in agreement with the sole dependence of herbivores on hindgut fermentation past the Cretaceous-Paleogene (K-Pg) extinction event through the Paleocene and Eocene, and the later rapid evolution of animals employing foregut fermentation strategy during the early Miocene. Only a few AGF genera deviated from this pattern of co-evolutionary phylosymbiosis, by exhibiting preferences suggestive of post-evolutionary environmental filtering. Our results greatly expand the documented scope of AGF diversity and provide an ecologically and evolutionary-grounded model to explain the observed patterns of AGF diversity in extant animal hosts.

microbiology↗

bioRxiv2022

Transcriptional control of adipogenesis by PATZ1

White adipose tissues (WAT) play a central role in lipid storage and systemic energy, lipid, and glucose homeostasis. Understanding the intricacies of adipocyte formation could inform therapies for obesity and metabolic disorders. We have identified the POZ/BTB and AT Hook Containing Zinc Finger 1 (PATZ1) protein as an adipogenic transcription factor through an unbiased high-throughput cDNA screen for modulators of adipogenesis. PATZ1 is expressed by both human and mouse adipocyte precursor cells (APC) and adipocytes, and its expression negatively correlates with obesity. In cell models, PATZ1 expression promotes adipogenesis through a mechanism dependent on protein-protein interaction and DNA binding. Adipose-specific ablation of PATZ1 in mice leads to decreased lipid storage and fat mass and protection from diet-induced obesity. Genome-wide PATZ1 DNA binding analyses using ChIP-Seq suggest that PATZ1 facilitates adipogenesis through interactions with transcription factor machinery at the promoter regions of key adipogenic factors and histone modifiers. Global PATZ1 protein interaction studies using immunoprecipitation-mass spectrometry (IP-MS) suggest that General Transcription Factor 2I (GTF2I) binding to PATZ1 forms a repressive complex, and knockdown of GTF2I augments PATZ1 adipogenic function. Collectively these findings identify PATZ1 as a regulator of the adipocyte differentiation programs and advance our understanding of the complex transcriptional mechanisms underlying adipose tissue development and homeostasis.

molecular biology↗

bioRxiv2022

Single Nucleus RNA Sequencing of Human Pancreatic Islets In Vitro and In Vivo Identifies New Gene Sets and Three β-Cell Subpopulations with Different Transcriptional Profile

Single-cell RNA sequencing (scRNA-seq) has provided valuable insights into human islet cell types and their corresponding stable gene expression profiles. However, this approach requires cell dissociation that complicates its utility in vivo and provides limited information on the active transcriptional status of islet cells. On the other hand, single-nucleus RNA sequencing (snRNA-seq) does not require cell dissociation and affords enhanced information from intronic sequences that can be leveraged to identify actively transcribing genes in islet cell populations. Here, we first sought to compare scRNA-seq and snRNA-seq analysis of human islets in vitro using exon reads or combined exon and intron reads, respectively. Datasets reveal similar human islet cell clusters using both approaches. In the snRNA-seq data, however, the top differentially expressed genes in human islet endocrine cells are not the canonical genes but a new set of non-canonical gene markers including ZNF385D, TRPM3, LRFN2, PLUT ({beta} cells), PTPRT, FAP, PDK4, LOXL4 ( cells), LRFN5, ADARB2, ERBB4, KCNT2 ({delta} cells) and CACNA2D3, THSD7A, CNTNAP5, RBFOX3 ({gamma} cells). Notably, these markers also accurately define endocrine cell populations in human islet grafts in vivo. Further, by integrating the information from nuclear and cytoplasmic transcriptomes, we identify three {beta}-cell sub-clusters: an active INS mRNA transcribing cluster ({beta}1), an intermediate INS mRNA-transcribing cluster ({beta}2), and a mature INS mRNA rich cluster ({beta}3). These display distinct gene expression patterns representing different biological dynamic states both in vitro and in vivo. Interestingly, the INS mRNA rich cluster ({beta}3) becomes the predominant sub-cluster in vivo. In summary, snRNA-seq analysis of human islet cells is a previously unrecognized tool that can be accurately employed for improved identification of human islet cell types and their transcriptional status in vivo.

cell biology↗

bioRxiv2020

Cold-associated mammokines preserve adipocyte identity

Sympathetic activation during cold exposure increases adipocyte thermogenesis via expression of mitochondrial protein uncoupling protein 1 (UCP1)1. The propensity of adipocytes to express UCP1 is under a critical influence of the adipose microenvironment and varies among various fat depots2-7. Here we report that cold-induced adipocyte UCP1 expression in female mouse subcutaneous white adipose tissue (scWAT) is regulated by mammary gland ductal epithelial cells in the adipose niche. Single cell RNA-sequencing (scRNA-seq) show that under cold condition glandular alveolar and hormone-sensing luminal epithelium subtypes express transcripts that encode secretory factors involved in regulating adipocyte UCP1 expression. We term mammary duct secretory factors as "mammokines". Using whole-tissue immunofluorescence 3D visualization, we reveal previously undescribed sympathetic nerve-ductal points of contact and show that sympathetic nerve-activated mammary ducts limit adipocyte UCP1 expression via cold-induced mammokine production. Both in vivo and ex vivo ablation of mammary ductal epithelium enhances cold-induced scWAT adipocyte thermogenic gene program. The mammary duct network extends throughout most scWATs in female mice, which under cold exposure show markedly less UCP1 expression, fat oxidation, energy expenditure, and subcutaneous fat mass loss compared to male mice. These results show a previously uncharacterized role of sympathetic nerve-activated glandular epithelium in adipocyte thermogenesis. Overall, our findings suggest an evolutionary role of mammary duct luminal cells in defending glandular adiposity during cold exposure, highlight mammary gland epithelium as a highly active metabolic cell type, and implicate a broader role of mammokines in mammary gland physiology and systemic metabolism.

cell biology↗

bioRxiv2019

Single Cell Analysis Reveals Immune Cell-Adipocyte Crosstalk Regulating the Transcription of Thermogenic Adipocytes

Immune cells are vital constituents of the adipose microenvironment that influence both local and systemic lipid metabolism. Mice lacking IL10 have enhanced thermogenesis, but the roles of specific cell types in the metabolic response to IL10 remain to be defined. We demonstrate here that selective loss of IL10 receptor in adipocytes recapitulates the beneficial effects of global IL10 deletion, and that local crosstalk between IL10-producing immune cells and adipocytes is a determinant of thermogenesis and systemic energy balance. Single Nuclei Adipocyte RNA-sequencing (SNAP-seq) of subcutaneous adipose tissue defined a metabolically-active mature adipocyte subtype characterized by robust expression of genes involved in thermogenesis whose transcriptome was selectively responsive to IL10R deletion. Furthermore, single-cell transcriptomic analysis of adipose stromal populations identified lymphocytes as a key source of IL10 production in response to thermogenic stimuli. These findings implicate adaptive immune cell-adipocyte communication in the maintenance of adipose subtype identity and function.

cell biology↗