Biology subjects

Gadhvi, G.

Publications and source records attributed to Gadhvi, G..

9 recordsLinked to original sources

bioRxiv2026

LIGER2: Scalable Single-Cell Integration with On-Disk Datasets

Correcting batch effects and integrating single-cell sequencing datasets has been a crucial step in large-scale biological studies. Many methods have been published for this task, and excel in various scenarios. Our previous work, LIGER, leveraging integrative non-negative matrix factorization (iNMF), stands out in providing an interpretable low-dimensional representation. To adapt to the modern need for integrating millions of cells, we developed a highly-optimized parallel factorization solution with on-demand loading from disk. The upgraded LIGER algorithm shows significant improvements in time and memory efficiency for single-cell data integration. We also developed a new downstream embedding alignment method significantly improved performance in conserving biological variation while still aligning corresponding cell types across datasets.

bioinformatics↗

bioRxiv2026

CX3CR1 And MHCII Define Distinct Synovial Macrophage Populations With Conserved Inflammatory Response Across Mouse Models Of Rheumatoid Arthritis.

Macrophages in the synovial lining are critical for the maintenance of healthy tissue while also contributing to the pathogenesis of rheumatoid arthritis (RA). However, the field currently lacks a unifying characterization of synovial macrophage heterogeneity across steady-state and inflammation. Here, we defined 4 transcriptionally distinct populations of synovial macrophages CX3CR1+MHCII- (lining); CX3CR1-MHCII- (interstitial/sublining); CX3CR1-MHCII+ (monocyte-derived); and CX3CR1+MHCII+ (infiltrating). The MHCII-populations are long-lived and derived from embryonic precursors regardless of localization while the MHCII+ populations differentiate from bone marrow (BM) progenitors dependent on CCR2. We identified conserved activation pathways between acute and chronic mouse models of inflammatory arthritis as well as novel arthritis-associated subpopulations. During peak inflammation, the influx of BM-derived cells was associated with upregulation of monocyte-related genes with concurrent down-regulation of tissue-resident genes. Our results provide a unifying schema for describing synovial macrophages across conditions and pave the way for future studies in modulating transcriptional activity in rheumatoid arthritis.

immunology↗

bioRxiv2024

The Transcription Factor TCF21 is necessary for adoption of cell fates by Foxd1+ stromal progenitors during kidney development.

Normal kidney development requires the coordinated interactions between multiple progenitor cell lineages. Among these, Foxd1+ stromal progenitors are essential for nephrogenesis, giving rise to diverse cell types including the renal stroma, capsule, mesangial cells, renin cells, pericytes, and vascular smooth muscle cells (VSMCs). However, the molecular mechanisms governing their differentiation remain poorly understood. This study investigates the role of Tcf21, a mesoderm-specific bHLH transcription factor, in Foxd1+ cell fate determination. Using single-cell RNA sequencing (scRNA-seq), we analyzed 32,461 GFP+ cells from embryonic day 14.5 (E14.5) Foxd1Cre/+;Rosa26mTmG;Tcf21f/fkidneys (Tcf21-cKO) and controls. Clustering identified a predominant stromal population, further divided into six subpopulations associated with healthy kidney development: nephrogenic zone-associated stroma, proliferating stroma, medullary/perivascular stroma, collecting duct-associated stroma, differentiating stroma, and ureteric stroma. Loss of Tcf21 resulted in marked depletion of medullary/perivascular stroma, collecting duct-associated stroma, proliferating stroma, and nephrogenic zone-associated stroma stromal subpopulations, confirmed by immunostaining, which revealed severe constriction of medullary and collecting duct stromal spaces. Additionally, we identified a novel cluster unique to Tcf21-cKO kidneys, characterized by high expression of Endomucin (Emcn), a vascular endothelial marker. These cells spanned across pseudotime trajectories and were distributed broadly across the mutant kidney. The emergence of Emcn-expressing cells in Tcf21-cKO kidneys coincided with a reduction in Acta2-expressing medullary stromal cells, suggesting a population shift. Our findings highlight the critical role of Tcf21 in directing Foxd1+ progenitor differentiation. Loss of Tcf21 disrupts stromal cell fates, leading to aberrant kidney development and providing new insights into the mechanisms underlying congenital kidney anomalies. TRANSLATIONAL STATEMENTThis study reveals critical insights into kidney development and congenital anomalies by identifying the developmental origins of stromal heterogeneity and the key role of Tcf21 in stromal progenitor differentiation. These findings enhance our understanding of stromal cell fate decisions and their relevance to congenital disorders. Additionally, this work provides valuable information for improving the recapitulation of the stromal compartment ex vivo, a current challenge in kidney organoid models. The role of Tcf21 in stromal phenotypic modulation underscores its broader significance in tissue repair and fibrotic diseases, suggesting potential avenues for therapeutic intervention.

developmental biology↗

bioRxiv2024

CytoSignal Detects Locations and Dynamics of Ligand-Receptor Signaling at Cellular Resolution from Spatial Transcriptomic Data

Nearby cells within tissues communicate through ligand-receptor signaling interactions. Emerging spatial transcriptomic technologies provide a tremendous opportunity to systematically detect ligand-receptor signaling, but no method operates at cellular resolution in the spatial context. We developed CytoSignal to infer the locations and dynamics of cell-cell communication at cellular resolution from spatial transcriptomic data. CytoSignal is based on the simple insight that signaling is a protein-protein interaction that occurs at a specific tissue location when ligand and receptor are expressed in close spatial proximity. Our cellular-resolution, spatially-resolved signaling scores allow several novel types of analyses: we identify spatial gradients in signaling strength; separately quantify the locations of contact-dependent and diffusible interactions; and detect signaling-associated differentially expressed genes. Additionally, we can predict the temporal dynamics of a signaling interaction at each spatial location. CytoSignal is compatible with nearly every kind of spatial transcriptomic technology including FISH-based protocols and spot-based protocols without deconvolution. We experimentally validate our results in situ by proximity ligation assay, confirming that CytoSignal scores closely match the tissue locations of ligand-receptor protein-protein interactions. Our work addresses the fields current need for a robust and scalable tool to detect cell-cell signaling interactions and their dynamics at cellular resolution from spatial transcriptomic data.

bioinformatics↗

bioRxiv2023

Monocyte subpopulations exhibit distinct TNF-dependent aging signatures.

Monocytes are a key cell type contributing to age-associated inflammation or inflammaging. Since monocytes have the potential to enter circulation and differentiate into macrophages in tissues, they are capable of having a systemic effect on health. Here, we characterize the effect of aging on the transcriptional regulation of monocyte subpopulations in the bone marrow. We find that aging classical (Ly6c high) and non-classical (Ly6c low) monocytes exhibit distinct transcriptional profiles. These were associated with changes to the epigenomic landscape driven by the activity of specific TFs that often had opposing effects in monocyte subpopulations. Next, we determined that the aging signature was diminished in TNF-KO mice indicating that monocytes are altered in a TNF-dependent manner. Finally, we found that a subset of the aging signature was triggered by TNF over-expression. Together, our results implicate key factors driving age-associated changes to the transcriptional regulation of monocyte subpopulations. This study provides a better understanding of the impact of aging on monocytes and identifies targets for future investigation aiming to improve health in aging.

genomics↗

bioRxiv2022

Three Distinct Transcriptional Profiles of Monocytes Correlate with Disease Activity in SSc Patients

Background/PurposePatients with systemic sclerosis (SSc) display a complex clinical phenotype. There are numerous studies that relate transcriptional signatures from PBMC or whole skin of SSc patients to disease activity. However, analyses of whole tissue RNA-sequencing studies are subjected to changes in cellular composition that can drive gene expression signatures and a loss of the ability to detect biologically important transcriptional changes within minority cell populations. Here, we focused on circulating monocytes, which have been shown to exist as two central populations classical (CM) and non-classical (NCM). MethodsSSc patients were recruited from four different sites that form PRESS: Northwestern University, University of Texas, University of Michigan and University of Utah. Comprehensive clinical data was collected for all patients. We isolated CM and NCM from these patients and age, sex, and race-matched healthy volunteers were used as controls. RNA-seq was performed on CM and NCM populations as well as on isolated bulk macrophages from skin. ResultsWe first performed RNA-seq on CM, which are the predominant population in circulation. In order to capture the variability across the SSc cohort, we defined 1790 differentially expressed genes in each patient. We then used these genes to cluster patients into 3 subgroups: Groups A-C. Group A exhibited the strongest interferon signature and innate immune pathways. Group B patients expressed genes in the same pathways but was also enriched for response to cAMP and corticosteroids. Both Group B and Group C exhibited upregulation of genes associated with vasculature development and blood vessel formation. Group C uniquely upregulated TGFB pathways. Next, we performed RNA-seq on NCM isolated from the same patients. When NCM were clustered based on the same 1790 genes as CM, we found that Groups A and C were recapitulated, while Group B was less cohesive. Our analysis stratified SSc patients based on their transcriptional profiles in monocytes but was agnostic to their clinical presentation. We found that Group B and C patients exhibited significantly worsened lung function at the time of monocyte isolation than Group A patients. However, there were no significant differences in skin disease. We then isolated macrophages from skin biopsies of SSc patients and showed that the transcriptional profile of Group A and C in SSc patients was conserved. We also used gene expression data from another study on monocytes which stratified patients based on disease presentation. We found that Group A accurately distinguished dcSSc and ncSSc patients from controls, but not lcSSc. ConclusionWe are the first to show that transcriptomic analysis of classical and non-classical circulating monocytes can unbiasedly stratify SSc patients and correlate with disease activity outcome measures.

genomics↗

bioRxiv2021

Tissue-resident, extravascular CD64-Ly6C- population forms a critical barrier for inflammation in the synovium

Monocytes are one of the most abundant immune cells infiltrating the inflamed organs. However, the majority of studies on monocytes focus on circulating cells, rather than those in the tissue. Here, we identify and characterize an intravascular (i.v.) and extravascular (e.v.) synovial population (Syn Ly6C- cells) which lack cell surface markers of classical monocytes (Ly6C and CD62) or tissue macrophages (CD64 and Tim4), are transcriptionally distinct and conserved in RA patients. e.v. Syn Ly6C- cells are independent of NR4A1 and CCR2, long-lived and embryonically derived while the i.v. Syn Ly6C- cells are dependent on NR4A1, short lived and derived from circulating NCM. e.v. Syn Ly6C- cells undergo increased proliferation and reverse diapedesis dependent on LFA1 in response to arthrogenic stimuli and are required for the development of RA-like disease. These findings uncover a new facet of mononuclear cell biology and are imperative to understanding tissue-resident myeloid cell function in RA.

immunology↗

bioRxiv2020

Influenza-induced activation of recruited alveolar macrophages during the early inflammatory phase drives lung injury and lethality

Severe respiratory virus infections initiate a robust host immune response that contributes to disease severity. Immunomodulatory strategies that limit virus-initiated inflammation are of critical importance. In this study, we compared the host response to influenza A virus (IAV) infection in susceptible animals (wild-type, WT) to resilient mice (Vimentin-/- mice). We identified distinct gene expression patterns in recruited monocyte-derived alveolar macrophages (MoAMs) associated with three phases (Infiltrating, Early Inflammatory, Late Inflammatory) that evolve in sequence over the course of IAV infection. We report a core set of pro-inflammatory genes involved in the WT MoAM Early Inflammatory response that is suppressed in Vim-/- MoAMs. Moreover, we identify CEBPB, Jun-AP1, and IRF transcriptions factors as regulators of this attenuated inflammatory response. We performed causal experiments using bone-marrow chimeras to credential that Vim-/- MoAMs with suppressed pro-inflammatory genes confer protection from influenza-induced mortality in WT susceptible mice. Taken together, these data support the notion that vimentin plays a causal role in determining the pro-inflammatory function of recruited MoAMs and drives IAV-induced lung injury.

immunology↗

bioRxiv2020

Macrophages drive the inflammatory phase in experimental osteoarthritis

Macrophages fulfill critical functions in maintaining tissue homeostasis in steady-state, as well as in inflammation and immune response. Inflammation is not considered a major driver of osteoarthritis (OA), but macrophages have been implicated in its pathogenesis. Here, we use two mouse models of experiment OA - collagenase-induced osteoarthritis (CIOA) and destabilization of the medial meniscus (DMM) - to quantify the immune cell infiltration into the knee joint during the early stages of disease. We find that the peak of inflammation occurs at day 3 in CIOA and is characterized by a transitory increase in neutrophils and monocytes and a longer-lived expansion of synovial macrophages. Macrophage sub-populations are disproportionally expanded with CX3CR1+ cells accounting for a larger proportion of the macrophage compartment. Transcriptional profiling demonstrates that synovial macrophages up-regulate inflammatory genes coinciding with peak inflammation and down-regulate genes associated with homeostasis and tissue-residence. Female mice exhibit a similar expansion of macrophages post-CIOA indicating that the inflammatory phase is not sex-specific. Finally, we find day 7 post-DMM is also characterized by increases in neutrophil, monocyte, and macrophage sub-population numbers. These results support a role for macrophages in early stages of OA through driving the inflammatory phase. Further investigation may elucidate potential targets for the prevention or attenuation of OA-associated cartilage damage.

immunology↗