Biology subjects

Gandotra, S.

Publications and source records attributed to Gandotra, S..

9 recordsLinked to original sources

bioRxiv2025

Lipid Droplets are active translation depots that respond to infection

Lipid droplets (LDs) are increasingly recognized as dynamic organelles with roles extending beyond lipid storage. While the core LD proteome across cells reveals minimal overlap, several proteins with "housekeeping" functions such as ribosomal proteins and translation factors have largely been ignored as contaminants. Here, we provide biochemical and microscopy-based evidence of ribosome components and the ribosome to be present in association with the LD. By developing a modified method based on puromycylation, we demonstrate that active ribosomes are localised in close-proximity of LDs, demonstrating that LDs serve as sites of active protein translation. By using Mycobacterium tuberculosis (Mtb) infection as a model, we show that LD-associated translation is regulated under infection conditions. Although the specific mRNAs translated on LDs remain to be identified, these findings reveal LDs as critical platforms for protein synthesis and provide insights into how the LD proteome is established. This work highlights the multifaceted role of LDs in cellular homeostasis and host-pathogen interactions. IMPORTANTO_LIManuscripts submitted to Review Commons are peer reviewed in a journal-agnostic way. C_LIO_LIUpon transfer of the peer reviewed preprint to a journal, the referee reports wil be available in ful to the handling editor. C_LIO_LIThe identity of the referees wil NOT be communicated to the authors unless the reviewers choose to sign their report. C_LIO_LIThe identity of the referee wil be confidentia ly disclosed to any a filiate journals to which the manuscript is transferred. C_LI GUIDELINESO_LIFor reviewers: https://www.reviewcommons.org/reviewers C_LIO_LIFor authors: https://www.reviewcommons.org/authors C_LI CONTACTThe Review Commons o fice can be contacted directly at: office@reviewcommons.org

cell 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↗

bioRxiv2021

The mitochondrial gene CMPK2 functions as a rheostat for macrophage homeostasis in inflammation

In addition to their role in cellular energy production, mitochondria are increasingly recognized as regulators of the innate immune response of phagocytes. Here, we demonstrate that altering expression levels of the mitochondria associated enzyme, cytidine monophosphate kinase 2 (CMPK2), disrupts mitochondrial physiology and significantly de-regulates the resting immune homeostasis of macrophages. Both CMPK2 silenced as well as constitutively over expressing macrophage lines portray mitochondrial stress with marked depolarization of their membrane potential, enhanced ROS and disturbed architecture culminating in the enhanced expression of the pro-inflammatory genes-IL1{beta}, TNF and IL8. Interestingly, the long-term modulation of CMPK2 expression resulted in an increased glycolytic flux of macrophages akin to the altered physiological state of activated M1 macrophages. While infection induced inflammation for restricting pathogens is regulated, our observation of a total dysregulation of basal inflammation by bidirectional alteration of CMPK2 expression, only highlights a critical role of this gene in mitochondria mediated control of inflammation.

immunology↗

bioRxiv2021

Inhibition of granuloma triglyceride synthesis imparts control of Mycobacterium tuberculosis through curtailed inflammatory responses

Lipid metabolism plays a complex and dynamic role in host-pathogen interaction during Mycobacterium tuberculosis infection. While bacterial lipid metabolism is key to the success of the pathogen, the host also offers a lipid rich environment in the form of necrotic caseous granulomas, making this association beneficial for the pathogen. Accumulation of the neutral lipid triglyceride, as lipid droplets at the cellular cuff of necrotic granulomas, is a peculiar feature of pulmonary tuberculosis. The role of triglyceride synthesis in the TB granuloma and its impact on the disease outcome has not been studied in detail. Here, we identified diacylglycerol O-acyltransferase 1 (DGAT1) to be essential for accumulation of triglyceride in necrotic TB granulomas using the C3HeB/FeJ murine model of infection. Treatment of infected mice with a pharmacological inhibitor of DGAT1 (T863) led to reduction in granuloma triglyceride levels and bacterial burden. A decrease in bacterial burden was associated with reduced neutrophil infiltration and degranulation, and a reduction in several pro-inflammatory cytokines including IL1{beta}, TNF, IL6, and IFN{beta}. Triglyceride lowering impacted eicosanoid production through both metabolic re-routing and via transcriptional control. Our data suggests that manipulation of lipid droplet homeostasis may offer a means for host directed therapy in Tuberculosis.

immunology↗

bioRxiv2020

High throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq next generation sequencing

The rapid emergence of coronavirus disease 2019 (COVID-19) as a global pandemic affecting millions of individuals globally has necessitated sensitive and high-throughput approaches for the diagnosis, surveillance and for determining the genetic epidemiology of SARS-CoV-2. In the present study, we used the COVIDSeq protocol, which involves multiplex-PCR, barcoding and sequencing of samples for high-throughput detection and deciphering the genetic epidemiology of SARS-CoV-2. We used the approach on 752 clinical samples in duplicates, amounting to a total of 1536 samples which could be sequenced on a single S4 sequencing flow cell on NovaSeq 6000. Our analysis suggests a high concordance between technical duplicates and a high concordance of detection of SARS-CoV-2 between the COVIDSeq as well as RT-PCR approaches. An in-depth analysis revealed a total of six samples in which COVIDSeq detected SARS-CoV-2 in high confidence which were negative in RT-PCR. Additionally, the assay could detect SARS-CoV-2 in 21 samples and 16 samples which were classified inconclusive and pan-sarbeco positive respectively suggesting that COVIDSeq could be used as a confirmatory test. The sequencing approach also enabled insights into the evolution and genetic epidemiology of the SARS-CoV-2 samples. The samples were classified into a total of 3 clades. This study reports two lineages B.1.112 and B.1.99 for the first time in India. This study also revealed 1,143 unique single nucleotide variants and added a total of 73 novel variants identified for the first time. To the best of our knowledge, this is the first report of the COVIDSeq approach for detection and genetic epidemiology of SARS-CoV-2. Our analysis suggests that COVIDSeq could be a potential high sensitivity assay for detection of SARS-CoV-2, with an additional advantage of enabling genetic epidemiology of SARS-CoV-2.

genomics↗

bioRxiv2020

Chronic exposure to IL6 leads to deregulation of glycolysis and fat accumulation in the zebrafish liver

BACKGROUND AND AIMS Inflammation is a constant in Non-Alcoholic Fatty Liver Disease (NAFLD) and is usually considered a consequence. We propose that inflammation can be a cause for NAFLD. Obesity is strongly associated with (NAFLD), but not always. NAFLD in lean individuals is more common in certain populations, especially Asian-Indians. Lean healthy Indians also have a higher basal circulating IL6 suggesting a link with inflammation. We propose that inflammation-induced fatty liver could be relevant for studying obesity-independent NAFLD. Commonly used high-fat diet-induced NAFLD animal models are not ideal for testing this hypothesis.APPROACH AND RESULTS In this study we used a transgenic zebrafish with chronic systemic overexpression of human IL6 (IL6-OE) and found accumulation of triglyceride in the liver. We performed comparative transcriptomics and proteomics on the IL6-OE liver and found an expression signature distinct from the diet-based NAFLD models. We discovered a deregulation of glycolysis/gluconeogenesis pathway, especially a robust down regulation of the glycolytic enzyme aldolase b in the IL6-OE liver. Metabolomics of the IL6-OE liver showed accumulation of hexose monophosphates and their derivatives, which can act as precursors for triglyceride synthesis. Patients with the genetic disease Hereditary Fructose Intolerance (HFI) caused by ALDOLASE B deficiency also have a higher propensity to develop fatty liver disease.CONCLUSIONS Our study demonstrates a causative role for inflammation in intrahepatic lipid accumulation. Further, our results suggest that IL6-driven repression of glycolysis/gluconeogenesis, specifically aldolase b, may be a novel mechanism for development of fatty liver, especially in obesity-independent NAFLD.Competing Interest StatementThe authors have declared no competing interest.List of AbbreviationsNAFLDNon-Alcoholic Fatty Liver DiseaseIL6Interleukin 6OEOverexpressionHFIHigh Fructose IntoleranceNASHNon-Alcoholic SteatohepatitisSLESystemic Lupus ErythematosusIBDInflammatory Bowel DiseaseRARheumatoid ArthritisHFDHigh Fat dietqRT-PCRQuantitative Real-Time Polymerase Chain ReactionPPARPeroxisome Proliferator-Activated ReceptorDHAPDihydroxyacetone PhosphateView Full Text

molecular biology↗

bioRxiv2020

The antidepressant sertraline provides a novel host directed therapy module for augmenting TB therapy

A prolonged therapy, primarily responsible for development of drug resistance by Mycobacterium tuberculosis (Mtb), obligates any new TB regimen to not only reduce treatment duration but also escape pathogen resistance mechanisms. With the aim of harnessing the host response in providing support to existing regimens, we used sertraline (SRT) to stunt the pro-pathogenic type I IFN response of macrophages to infection. While SRT alone could only arrest bacterial growth, it effectively escalated the bactericidal activities of Isoniazid (H) and Rifampicin (R) in macrophages. This strengthening of antibiotic potencies by SRT was more evident in conditions of ineffective control by these frontline TB drug, against tolerant strains or dormant Mtb. SRT, could significantly combine with standard TB drugs to enhance early pathogen clearance from tissues of mice infected with either drug sensitive/ tolerant strains of Mtb. Further, we demonstrate an enhanced protection in acute TB infection of the highly susceptible C3HeB/FeJ mice with the combination therapy signifying the use of SRT as a potent adjunct to standard TB therapeutic regimens against bacterial populations of diverse physiology. This study advocates a novel host directed adjunct therapy regimen for TB with a clinically approved anti-depressant to achieve quicker and greater control of infection.

immunology↗

bioRxiv2019

Modern clinical Mtb strains leverage the type I IFN pathway for a pro-inflammatory response in the host

Host phagocytes respond to infections by innate defense mechanisms through metabolic shuffling in order to restrict the invading pathogen. However, this very plasticity of the host provides an ideal platform for pathogen mediated manipulation. By employing the macrophage model of Mtb infection, we identify an important strategy employed by modern clinical lineages in regulating the host immune-metabolism axis. The potent ability of these strains to specifically elicit a strong and early macrophage type I IFN response (in contrast to the protracted response to ancient Mtb), was dependent on an increased ability to localize in acidified phagosomes; this higher transit via acidified compartments is important for stimulation of the DNA dependent signaling in infected macrophages. The augmented IFN signaling provided a positive regulatory loop for enhanced expression of the cellular oxysterol-CH25H which in turn facilitated higher levels of IL6 in macrophages infected with the modern Mtb strains. Requirement of type I IFN signaling in mycobacterial intracellular growth highlights another unique ability of Mtb to manipulate host cell physiology and proinflammatory responses.\n\nSignificance StatementCo-evolution with humans has enabled the development of novel adaptive mechanisms for survival in host specific environments in the human TB pathogen-Mtb. We present one such mechanism of modern Mtb strains harnessing the type I IFN immune axis to regulate the host pro-inflammatory response. Our results highlight the use of host intracellular endosomal transit as a mechanism by these strains to ensure a strong type I IFN response in macrophages. We also demonstrate the ability of Mtb to regulate macrophage cholesterol metabolism in order to fine tune the host innate responses. These findings lay the foundation of the future development of a host axis directed intervention strategy against this pathogen.

immunology↗

bioRxiv2017

Necrosis triggered by Mycobacterium tuberculosis alters macrophage triglyceride metabolism and inflammatory response in a DGAT1-dependent manner

Tuberculosis granulomas represent a site of controlling bacterial dissemination at the cost of host tissue damage. Within the heterogenous array of TB granulomas, some contain triglyceride (TG) rich foamy macrophages, the etiology and function of which remains largely unexplained. Here we show that necrosis of tuberculosis lesions and M. tuberculosis (Mtb) infected macrophages elicits a bystander response of triglyceride storage. We elucidate a role for the RD1 region of mycobacterial genome to be a key player in this phenomenon. TG storage in necrosis associated foamy macrophages promoted the pro-inflammatory state of macrophages while silencing expression of diacylglycerol O-acyltransferase (DGAT1) suppressed expression of pro-inflammatory genes. Surprisingly, acute infection with Mtb led to lipolysis of host TG, rather than synthesis, suggesting mobilization of triglyceride stored within macrophage lipid droplets to be involved in the inflammatory response to infection. Our data is likely to open new avenues for management of the inflammatory response during infection.

immunology↗