Biology subjects

Mangalmurti, N. S.

Publications and source records attributed to Mangalmurti, N. S..

6 recordsLinked to original sources

bioRxiv2026

The Red Blood Cell Surface Defines a Distinct Tumor DNA Compartment for Liquid Biopsy

Red blood cells (RBCs) modulate host inflammatory responses by scavenging mitochondrial and pathogen DNA. However, how RBC surface properties govern the capture of tumor-derived DNA remains poorly understood. We show that RBCs tether and retain tumor-derived DNA on their surface, forming a distinct circulating pool of RBC-bound tumor DNA (rtDNA). Desialylation increased DNA capture in a Toll-like receptor 9 (TLR9)-dependent manner, identifying RBC surface sialylation and TLR9 as a regulator of DNA binding. In mice bearing lung cancer xenografts, rtDNA was detected in all animals and its abundance correlated with tumor burden, whereas tumor DNA was undetectable in matched plasma samples. In patients with lung cancer, the majority of detected mutant tumor DNA was associated with RBCs rather than plasma, and RBC-derived mutations were concordant with molecular alterations identified in matched tumor tissue. Collectively, these findings establish the RBC surface as a tunable site of tumor-DNA capture and retention and challenge the plasma-centric paradigm of liquid biopsy by identifying a distinct cellular reservoir of tumor-derived genetic material.

cancer biology↗

bioRxiv2024

Single-cell Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper

High-throughput single-cell cytometry data are crucial for understanding involvement of immune system in diseases and responses to treatment. Traditional methods for annotating cytometry data, specifically manual gating and clustering, face challenges in scalability, robustness, and accuracy. In this study, we propose a cytometry masked autoencoder (cyMAE), which offers an automated solution for immunophenotyping tasks including cell type annotation. The cyMAE model is designed to uphold user-defined cell type definitions, thereby facilitating easier interpretation and cross-study comparisons. The cyMAE model operates on a pre-train and fine-tune approach. In the pre-training phase, cyMAE employs Masked Cytometry Modelling (MCM) to learn relationships between protein markers in immune cells solely based on protein expression, without relying on prior information such as cell identity and cell type-specific marker proteins. Subsequently, the pre-trained cyMAE is fine-tuned on multiple specialized tasks via task-specific supervised learning. The pre-trained cyMAE addresses the shortcomings of manual gating and clustering methods by providing accurate and interpretable predictions. Through validation across multiple cohorts, we demonstrate that cyMAE effectively identifies co-occurrence patterns of bound labeled antibodies, delivers accurate and interpretable cellular immunophenotyping, and improves the prediction of subject metadata status. Specifically, we evaluated cyMAE for cell type annotation and imputation at the cellular-level and SARS-CoV-2 infection prediction, secondary immune response prediction against COVID-19, and prediction of the infection stage in COVID-19 progression at the subject-level. The introduction of cyMAE marks a significant step forward in immunology research, particularly in large-scale and high-throughput human immune profiling. This approach offers new possibilities for predicting and interpreting cellular-level and subject-level phenotypes in both health and disease.

bioinformatics↗

bioRxiv2022

Bat Red Blood Cells express Nucleic Acid Sensing Receptors and bind RNA and DNA

Red blood cells (RBCs) demonstrate immunomodulatory capabilities through the expression of nucleic acid sensors. However, little is known about bat RBCs, and no studies have examined the immune function of bat erythrocytes. Here we show that bat RBCs express the nucleic acid-sensing Toll-like receptors TLR7 and TLR9 and bind the nucleic acid ligands, single-stranded RNA, and CpG DNA. Collectively, these data suggest that, like human RBCs, bat erythrocytes possess immune function and may be reservoirs for nucleic acids. These findings provide unique insight into bat immunity and may uncover potential mechanisms by which virulent pathogens in humans are concealed in bats.

immunology↗

bioRxiv2022

Human red blood cells express the RNA sensor TLR7 and bind viral RNA

Red blood cells (RBCs) express the nucleic acid-sensing toll-like receptor 9 (TLR9) and bind CpG-containing DNA. However, whether human RBCs express other nucleic acid-sensing TLRs and bind RNA is unknown. Here we show that human RBCs express the RNA sensor, TLR7. TLR7 is present on the red cell membrane and associates with the RBC membrane protein Band 3. RBCs bind synthetic single-stranded RNA and RNA from pathogenic single-stranded RNA viruses. RNA acquisition by RBCs is attenuated by recombinant TLR7 and inhibitory oligonucleotides. Thus, RBCs may represent a previously unrecognized reservoir for RNA, although how RNA-binding by RBCs modulates the immune response has yet to be elucidated. These findings add to the growing list of non-gas exchanging RBC immune functions. SignificanceRed blood cells interact with pathogens, cytokines, and CpG-containing DNA; however, their immune functions remain largely unexplored. Here, we report that RBCs can bind synthetic or viral RNA and express TLR7. TLR7 interacts with the RBC membrane protein Band 3 and this interaction is increased during acute infection with SARS-CoV-2. Our study suggests that RBCs may have immune functions mediated by viral RNA, and RNA-carrying RBCs can potentially be a reservoir for RNA-based diagnostics.

immunology↗

bioRxiv2021

Red Blood Cells Function as DNA Sensors

Erythrocytes have long been mistaken as exclusively inert oxygen carriers lacking immune function. Here we show that red blood cells (RBCs) serve as immune sensors through surface expression of the nucleic acid-sensing toll-like receptor 9 (TLR9), a classically endosomal receptor that initiates immune responses following the detection of unmethylated CpG motifs present in pathogen and mitochondrial DNA. Mammalian RBCs express TLR9 on their surface and bind CpG-containing bacterial, malarial, and mitochondrial DNA. Erythrocyte-bound CpG DNA increases during infection, and CpG-carrying RBCs trigger accelerated erythrophagocytosis and innate immune activation characterized by RBC-TLR9 dependent local and systemic cytokine production. Thus, RBC nucleic acid detection and capture regulates red cell clearance and immune responses and provides evidence for RBCs as innate immune sentinels during pathologic states. One Sentence SummaryThe ability of RBCs to detect and bind cell-free nucleic acids contributes to immunity during acute inflammatory states.

immunology↗

bioRxiv2020

Immunologic perturbations in severe COVID-19/SARS-CoV-2 infection

Although critical illness has been associated with SARS-CoV-2-induced hyperinflammation, the immune correlates of severe COVID-19 remain unclear. Here, we comprehensively analyzed peripheral blood immune perturbations in 42 SARS-CoV-2 infected and recovered individuals. We identified broad changes in neutrophils, NK cells, and monocytes during severe COVID-19, suggesting excessive mobilization of innate lineages. We found marked activation within T and B cells, highly oligoclonal B cell populations, profound plasmablast expansion, and SARS-CoV-2-specific antibodies in many, but not all, severe COVID-19 cases. Despite this heterogeneity, we found selective clustering of severe COVID-19 cases through unbiased analysis of the aggregated immunological phenotypes. Our findings demonstrate broad immune perturbations spanning both innate and adaptive leukocytes that distinguish dysregulated host responses in severe SARS-CoV-2 infection and warrant therapeutic investigation. One Sentence SummaryBroad immune perturbations in severe COVID-19

immunology↗