Biology subjects

Mishra, A. K.

Publications and source records attributed to Mishra, A. K..

At least 19 recordsLinked to original sources

bioRxiv2026

A Distal Super-Enhancer Regulate CD47 Expression and Promotes Macrophage-Mediated Phagocytosis of Ovarian Cancer Cells

CD47 is an innate immune checkpoint that can protect tumor cells from macrophage-mediated clearance, but the regulatory mechanisms underlying its expression in ovarian cancer (OC) remain incompletely understood. Here, we investigated the epigenetic regulation of CD47 expression in OC. Single-cell and spatial transcriptomic analyses indicated preferential CD47 expression in malignant epithelial cells. Integration of publicly available epigenomic datasets revealed a distal regulatory region with enhancer-associated features across ovarian cancer models and HGSOC patient samples. A genome-wide CRISPR-Cas9 screen further implicated PITX2 and EP300 as regulators of CD47 expression. Chromatin immunoprecipitation assays showed PITX2 and EP300 occupancy at candidate enhancer elements within this CD47 regulatory region. Comparative epigenomic analyses suggested that features of this regulatory landscape are also present in fallopian tube epithelial cells and become more prominent in OC. Together, these findings support a PITX2-EP300 regulatory axis associated with CD47 expression and provide evidence for its potential contribution to tumor immune evasion.

cancer biology↗

bioRxiv2026

Systematic analysis of RhoGAP expression and function in border cell morphology and migration

Rho family GTPases are central hubs in the signaling and cytoskeletal networks that govern cell morphology and behavior. GTPase-activating proteins (GAPs) inactivate them by accelerating GTP hydrolysis. However, a systematic analysis of GAPs in cell migration is lacking. Here, we report screens for RhoGAP expression and function in migratory Drosophila border cells. Constitutively active Cdc42, Rac, or Rho causes defects, demonstrating that negative regulation is critical. Integrating single-cell RNAseq with published datasets reveals that most of the 22 RhoGAPs are expressed in border cells. RNAi knockdown shows most RhoGAPs are functionally required. We developed automated image analysis tools to sensitively and objectively classify border cell morphologies, defining a normal morphological phase space. RhoGAP perturbations push clusters outside this range. In-depth analysis of RhoGAPp190 reveals that loss-of-function resembles Rho hyperactivation and gain-of-function resembles myosin II inhibition. Thus, complex spatiotemporal sculpting of RhoGTPase activities requires diverse RhoGAPs within a single cell type to control morphology and motility in vivo.

cell biology↗

bioRxiv2026

NG2-targeting macrophages inhibit 3D invasion of patient-derived glioblastoma spheroids

Engineering macrophages with chimeric antigen receptors is emerging as a promising cancer therapeutic. Chimeric antigen receptor-expressing macrophages (CAR-Ms) engineered to recognize tumor-specific antigens have been shown to inhibit tumor growth and activate adaptive immune responses, leading to robust tumor control in animal studies. Based on this work, clinical trials have been initiated. While the trials have shown promise, challenges remain. The dynamic interactions between CAR-Ms and cancer cells and the exact mechanisms driving anti-tumor effects remain poorly defined. Defining the dynamic interactions between CAR-Ms and cancer cells will provide critical insights for optimizing future CAR-M design and improving therapeutic efficacy. We sought to directly visualize CAR-M interactions with glioblastoma cells at high-resolution and in real-time using CAR-Ms engineered to recognize Neural-Glial Antigen 2 (NG2), an antigen expressed on glioblastoma cells. Using patient-derived glioblastoma cells, we formed glioblastoma spheroids and embedded them in a 3D matrix together with CAR-Ms. Using time-lapse microscopy, as expected, we found that NG2-targeting CAR-Ms engulfed glioblastoma cells. However, excitingly, we found that NG2-targeting CAR-Ms blocked >85% of glioblastoma cell invasion in 3D. This inhibition of glioblastoma invasion was not due to a significant change in CAR-M polarization states. Together, these data suggest that NG2-targeting CAR-Ms both engulf glioblastoma cells and block glioblastoma invasive behavior.

cancer biology↗

bioRxiv2026

Convergent strategies for nanobody-mediated inhibition of an epoxide hydrolase

Secreted by Pseudomonas aeruginosa, Cif is an epoxide hydrolase that acts as a virulence factor in the context of cystic fibrosis and thus represents a target for therapeutic inhibition. Here, we present the structures of several high-affinity inhibitory nanobodies, each bound to Cif. Comparison reveals two classes of nanobodies with distinct CDR sequences and convergent recognition strategies. Mimicry between CDR3 and CDR2 loops positions an aromatic residue for insertion through the active-site gate, accessing a cryptic epitope, which sterically blocks substrate access and provides an anchor point for high-affinity engagement. Projection of either inhibitory CDR toward the active-site entrance requires a relative 90{degrees} rotation of the core immunoglobulin domain, and yet both classes engage the same set of stereochemical handholds within a highly overlapping shared epitope. The structurally distinct paratopes thus represent fundamentally distinct solutions, reflecting the remarkable capacity of the immune system to solve highly constrained molecular recognition challenges.

biochemistry↗

bioRxiv2025

Moving from Association to Causation: Instrumental factor models for causal inference in high-dimensional multi-omics data

Distinguishing true causal relationships from mere association is a core challenge in bioinformatics and science in general. Causal inference, in particular in "-omics" studies, is hindered by high dimensionality, correlated measurements, and pervasive endogeneity arising from unmeasured confounding and complex interventions. We introduce Factor IV, a supervised instrumental variable (IV) framework for identifying causal effects in high-dimensional biological systems. FactorIV constructs low-dimensional instrumental factors via a sparse low-rank decomposition of the instrument-exposure map, yielding an identifiable first stage even when either/both endogenous and instrumental variables are high-dimensional. Under standard IV assumptions, these factors remain orthogonal to outcome noise while capturing coordinated, perturbation-driven biological variation. The framework supports generalized first-stage models, including Gaussian, Bernoulli and negative binomial likelihoods. Simulation studies demonstrate accurate recovery of factor-level and feature-level causal effects under linear and generalized settings, with robustness to correlated errors and hidden confounding. To illustrate biological discovery, we applied FactorIV to a mouse hepatocellular carcinoma model and the DIABIMMUNE infant cohort. We demonstrate how FactorIV uncovers mechanistically interpretable causal structure beyond association-based analyses.

bioinformatics↗

bioRxiv2025

Hyperactive Rac converts sublethal nibbling to lethal phagocytosis in vivo

The small GTPase Rac is an essential regulator of cell shape, migration, macropinocytosis and phagocytosis. We recently reported that expression of constitutively active RacG12V is sufficient to cause a few migratory cells called border cells to cannibalize nurse cells in the Drosophila ovary. Building on that insight, we engineered mammalian Rac-enhanced chimeric-antigen-receptor macrophages (RaceCAR-Ms) to avidly engulf and kill cancer cells. Here we investigate the cellular and molecular mechanisms by which border cells efficiently kill the much larger nurse cells. Surprisingly, wild type border cells normally nibble on nurse cells as they migrate between them, and RacG12V causes border cells to take larger, lethal bites. These larger bites trigger rapid germline shrinkage, nuclear damage, and caspase activation, which spreads through the nurse cell syncytium. Then, many somatic follicle cells join in to engulf the dying germline. Rac and the engulfment receptor Draper are critical for both sublethal nibbling and lethal phagocytosis. Using clonal analysis, we show small groups of follicle cells expressing RacG12V induced caspase activation in neighboring follicle cells while larger RacG12V clones were required to cause germline killing. Increasing Draper expression or JNK activity in border cells also caused germline death, in a Rac-independent manner, suggesting that border cells can be activated to kill through multiple mechanisms. The series of events elucidated here reveals how hyperactivated Rac expressed in a few cells can trigger destruction of a much larger mass of cells. Significance StatementRac is a key protein in the cellular eating process called phagocytosis. Rac hyperactivity enhances the consumption of tumor cells by chimeric antigen receptor-macrophages (CAR-M), a promising type of cellular immunotherapy. Elucidating the mechanisms by which hyperactive Rac enhances cell killing may lead to improvements in CAR-M. Key insights into the in vivo effects of Rac have come from studying Drosophila oogenesis. Here we report molecular and cellular mechanisms by which hyperactivated Rac stimulates migratory cells to engulf and kill much larger cells in the fly ovary, ultimately resulting in destruction of the entire tissue. These insights have implications for how hyperactivating Rac might improve antibody and CAR-M therapies for cancer and other diseases.

cell biology↗

bioRxiv2025

Novel truncating Desmin mutation Arg150Stop disrupts structural integrity and cellular homeostasis by formation of persistent aggregate-like structure

Desminopathies are a heterogeneous group of myofibrillar myopathies defined by the presence of desmin-positive aggregates that compromise cytoskeletal integrity in skeletal and cardiac muscle. Although desmin knockout models and several truncating mutations typically result in a functional null phenotype without inclusion body formation, the molecular consequences of specific stop-gain variants remain poorly understood. In this study, we investigated the pathogenic mechanism of a novel DES nonsense mutation, NM_001927.4:c.448C>T; p.(Arg150Stop), previously identified in an Indian patient with congenital myopathy. This premature stop codon lies within the Linker 1A domain and is predicted to generate a truncated protein lacking the C-terminal tail. To delineate its functional consequences, we used two complementary experimental approaches: transient overexpression of the R150X mutant in skeletal and cardiac myocytes, and a CRISPR/Cas9-engineered homozygous R150X cardiomyocyte line (Des-R150X-CRISPR). Both models consistently revealed the formation of persistent aggregate-like structures, in striking contrast to desmin knockout systems that do not generate inclusions. These aggregate-like structures disrupted actin filament organization, impaired filament bundling, and induced organelle mislocalization. Biochemical analysis indicated that the aggregates were resistant to proteasomal degradation, yet they were partially cleared by autophagy, underscoring a role for protein quality control pathways in modulating disease severity. Importantly, the Des-R150X-CRISPR line demonstrated aggregate-driven pathology at endogenous levels, confirming that this mutation acts through a toxic gain-of-function mechanism rather than simple loss of desmin function. Our findings establish the Arg150Stop variant as a mechanistically distinct truncating mutation that generates aggregation-prone protein rather than a null state. By reproducing hallmark features of desminopathy in a physiologically relevant human cell models, this work not only broadens the known pathogenic spectrum of DES variants but also highlights aggregate formation as a central driver of cellular dysfunction and a promising therapeutic target in desminopathies.

cell biology↗

bioRxiv2025

Estimation of stature from hand length and hand breadth in undergraduate medical students: An anthropometric study

BackgroundStature, a determinant that aids in personal identification, can be estimated using measurements of various body parts. This study measured the length and breadth of hands and the height of the participants, aiming to develop linear regression equations for stature estimation. MethodsThis is a cross-sectional descriptive study in which 195 medical students aged 18 to 24 were enrolled, and measurement of stature was done by stadiometer and hand length and breadth by vernier calliper, after an informed written consent was obtained. ResultsMean stature was higher in males (170.24{+/-}5.79 cm) as compared to females (159.01{+/-}7.261 cm). Mean length and breadth of both right and left hands were also found to be higher in males when compared with females. With a standard error of estimates of 5.083 cm and an R2 of 0.648, the multiple linear regression analysiss model summary concluded that R is .805, indicating a strong positive association between stature estimation and hand dimensions. ConclusionsHand length and hand breadth together may be a powerful predictor of stature, as indicated by the greater R value when compared to regression coefficients derived for other body parts. A variable entity, height is influenced by genetics and nutritional status. Future studies can be done taking these factors into consideration and also including a larger population size.

systems biology↗

bioRxiv2025

Selective decoupling of IgG1 binding to viral Fc receptorsrestores antibody-mediated NK cell activation against HCMV-infected cells

A key mechanism of antiviral antibodies is to bind cell-surface viral antigens and activate cellular immunity to clear infected cells, yet antibodies targeting human cytomegalovirus (HCMV) have exhibited limited efficacy. This appears due to HCMVs multiple immune evasion mechanisms, including viral receptors (vFc{gamma}Rs) which bind human IgG Fc domains to co-operatively inhibit Fc activation of host Fc{gamma} receptors and impair Fc-mediated effector functions. We biochemically characterized and evaluated the functions of two highly conserved vFc{gamma}Rs, gp34 and gp68, and mapped their binding epitopes on the Fc domain. Based on this information, we then engineered Fc variants that retain binding to CD16A, which is essential for NK activation, and to FcRn but have markedly attenuated binding to gp34 and gp68. IgG1 antibodies targeting the gB fusogen with engineered Fc domains were not internalized by infected cells, mediated enhanced CD16A activation and limited viral spread in HCMV-infected fibroblasts more effectively than wild-type Fc. Together, this work demonstrates a strategy to enhance the efficacy of antibody therapies to clear HCMV infections. HighlightsO_LIHost and HCMV FcR compete for IgG1 binding but engage different residues. C_LIO_LIFc-engineering abrogates viral FcR antagonism while retaining CD16A activation. C_LIO_LIAntibodies that resist vFcR capture promote superior ADCC against infected cells. C_LIO_LIDesigner Fc domains complement Fabs to create enhanced disease-specific therapies. C_LI

immunology↗

bioRxiv2025

CD47 prevents Rac-mediated phagocytosis through Vav1 dephosphorylation

CD47 is expressed by viable cells to protect against phagocytosis. CD47 is recognized by SIRP, an inhibitory receptor expressed by macrophages and other myeloid cells. Activated SIRP recruits SHP-1 and SHP-2 phosphatases but the inhibitory signaling cascade downstream of these phosphatases is not clear. In this study, we used time lapse imaging to measure how CD47 impacts the kinetics of phagocytosis. We found that targets with IgG antibodies were primarily phagocytosed through a Rac-based reaching mechanism. Targets also containing CD47 were only phagocytosed through a less frequent Rho-based sinking mechanism. Hyperactivating Rac2 eliminated the suppressive effect of CD47, suggesting that CD47 prevents activation of Rac and reaching phagocytosis. During IgG-mediated phagocytosis, the tyrosine kinase Syk phosphorylates the GEF Vav, which then activates the GTPase Rac to drive F-actin rearrangement and target internalization. CD47 inhibited Vav1 phosphorylation without impacting Vav1 recruitment to the phagocytic synapse or Syk phosphorylation. Macrophages expressing a hyperactive Vav1 were no longer sensitive to CD47. Together this data suggests that Vav1 is a key target of the CD47 signaling pathway.

cell biology↗

bioRxiv2024

Variational inference for microbiome survey data with application to global ocean data

Linking sequence-derived microbial taxa abundances to host (patho-)physiology or habitat characteristics in a reproducible and interpretable manner has remained a formidable challenge for the analysis of microbiome survey data. Here, we introduce a flexible probabilistic modeling framework, VI-MIDAS (Variational Inference for MIcrobiome survey DAta analysiS), that enables joint estimation of context-dependent drivers and broad patterns of associations of microbial taxon abundances from microbiome survey data. VI-MIDAS comprises mechanisms for direct coupling of taxon abundances with covariates and taxa-specific latent coupling which can incorporate spatio-temporal information and taxon-taxon interactions. We leverage mean-field variational inference for posterior VI-MIDAS model parameter estimation and illustrate model building and analysis using Tara Ocean Expedition survey data. Using VI-MIDAS latent embedding model and tools from network analysis, we show that marine microbial communities can be broadly categorized into five modules, including SAR11-, Nitrosopumilus-, and Alteromondales-dominated communities, each associated with specific environmental and spatiotemporal signatures. VI-MIDAS also finds evidence for largely positive taxon-taxon associations in SAR11 or Rhodospirillales clades, and negative associations with Alteromonadales and Flavobacteriales classes. Our results indicate that VI-MIDAS provides a powerful integrative statistical analysis framework for discovering broad patterns of associations between microbial taxa and context-specific covariate data from microbiome survey data.

bioinformatics↗

bioRxiv2024

Crimean-Congo Hemorrhagic Fever Survivors Elicit Protective Non-Neutralizing Antibodies that Target 11 Overlapping Regions on Viral Glycoprotein GP38

Crimean-Congo hemorrhagic fever virus can cause lethal disease in humans yet there are no approved medical countermeasures. Viral glycoprotein GP38, unique to Nairoviridae, is a target of protective antibodies, but extensive mapping of the human antibody response to GP38 has not been previously performed. Here, we isolated 188 GP38-specific antibodies from human survivors of infection. Competition experiments showed that these antibodies bind across five distinct antigenic sites, encompassing eleven overlapping regions. Additionally, we reveal structures of GP38 bound with nine of these antibodies targeting different antigenic sites. Although GP38-specific antibodies were non-neutralizing, several antibodies were found to have protection equal to or better than murine antibody 13G8 in two highly stringent rodent models of infection. Together, these data expand our understanding regarding this important viral protein and inform the development of broadly effective CCHFV antibody therapeutics.

immunology↗

bioRxiv2023

Inhibiting the GPI Transamidase Subunit GPAA1 Abolishes CD24 Surface Localization and Enhances Macrophage-Mediated Phagocytosis of Ovarian Cancer Cells

The CD24-Siglec10 signaling axis is an immune checkpoint pathway that shields ovarian cancer cells from phagocytosis by tumor-associated macrophages (TAMs), making it an appealing immunotherapeutic target. Here, we investigate factors influencing CD24 cell surface expression and assess their suitability as drug targets. Using a CRISPR-based knockout screen, we identify GPAA1 (glycosylphosphatidylinositol anchor attachment-1) as a positive regulator of CD24 cell surface expression. GPAA1 is a crucial component of the multi-subunit GPI transamidase complex, which facilitates the attachment of GPI lipid anchor to the C-terminus of CD24, enabling its surface localization. Reducing the activity of GPAA1 in ovarian cancer cells, either by genetic ablation or targeting with an aminopeptidase inhibitor bestatin, disrupts GPI attachment to CD24. This disruption impairs CD24 cell surface localization, enhances phagocytosis by TAMs, and suppresses tumor growth in mice. Our study highlights the potential of GPAA1 targeting as a therapeutic approach for CD24-positive ovarian cancers.

cancer biology↗

bioRxiv2023

ACSL4 activity drives TNBC metastasis by positively regulating Histone H3 Acetylation mediated SNAIL expression

Triple-Negative Breast Cancer (TNBC) has profound unmet medical need globally for its devastating clinical outcome associated with rapid metastasis and lack of targeted therapies. Recently, lipid metabolic reprogramming has emerged as a major driver of breast cancer metastasis. Here, we unveil a strong association between the heightened expression of fatty acid metabolic enzyme, acyl-CoA synthetase 4 (ACSL4) and TNBC, which is primarily attributed by the selective absence of progesterone receptor (PR). Loss of ACSL4 function, either through genetic ablation or pharmacological inhibition significantly reduces metastatic potential of TNBC. Global transcriptome analysis reveals that ACSL4 activity markedly influences the gene expression pattern associated with TNBC migration. Mechanistically, ACSL4 alters fatty acid oxidation (FAO) and cellular acetyl-CoA levels, leading to the hyper-acetylation of particularly H3K27Ac and H3K9Ac marks resulting in overexpression of SNAIL during the course of TNBC metastatic spread to lymph node and lungs. Further, human TNBC metastasis exhibits positive correlation between ACSL4 and SNAIL expression. Altogether, our findings provide new molecular insights regarding the intricate interplay between metabolic alterations and epigenetic modifications, intertwined to orchestrate TNBC metastasis and posit a rational understanding for the development of ACSL4 inhibitors as a targeted therapy against TNBC.

cancer biology↗

bioRxiv2023

TARO: tree-aggregated factor regression for microbiome data integration

MotivationAlthough the human microbiome plays a key role in health and disease, the biological mechanisms underlying the interaction between the microbiome and its host are incompletely understood. Integration with other molecular profiling data offers an opportunity to characterize the role of the microbiome and elucidate therapeutic targets. However, this remains challenging to the high dimensionality, compositionality, and rare features found in microbiome profiling data. These challenges necessitate the use of methods that can achieve structured sparsity in learning cross-platform association patterns. ResultsWe propose Tree-Aggregated factor RegressiOn (TARO) for the integration of microbiome and metabolomic data. We leverage information on the phylogenetic tree structure to flexibly aggregate rare features. We demonstrate through simulation studies that TARO accurately recovers a low-rank coefficient matrix and identifies relevant features. We applied TARO to microbiome and metabolomic profiles gathered from subjects being screened for colorectal cancer to understand how gut microrganisms shape intestinal metabolite abundances. Availability and implementationThe R package TARO implementing the proposed methods is available online at https://github.com/amishra-stats/taro-package.

bioinformatics↗

bioRxiv2022

The multifaceted roles of R2R3 transcription factor HlMYB7 in the regulation of flavonoid and bitter acids pathways, development and biotic stress in hop (Humulus lupulus L.)

Hop (Humulus lupulus) biosynthesizes the highly economically valuable secondary metabolites, which include flavonoids, bitter acids, polyphenols and essential oils. These compounds have important pharmacological properties and are widely implicated in the brewing industry owing to bittering flavor, floral aroma and preservative activity. Our previous studies documented that ternary MYB-bHLH-WD40 (MBW) and binary WRKY1-WD40 (WW) protein complexes transcriptionally regulate the accumulation of bitter acid (BA) and prenylflavonoids (PF). In the present study, we investigated the regulatory functions of the R2R3-MYB repressor HlMYB7 transcription factor, which contains a conserved N-terminal domain along with the repressive motif EAR, in regulating the PF- and BA-biosynthetic pathway and their accumulation in hop. Constitutive expression of HlMYB7 resulted in transcriptional repression of structural genes involved in the terminal steps of biosynthesis of PF and BA, as well as stunted growth, delayed flowering, and reduced tolerance to viroid infection in hop. Furthermore, yeast two-hybrid and transient reporter assays revealed that HlMYB7 targets both PF and BA pathway genes and suppresses MBW and WW protein complexes. Heterologous expression of HlMYB7 leads to down-regulation of structural genes of flavonoid pathway in Arabidopsis thaliana, including a decrease in anthocyanin content in Nicotiana tabacum. The combined results from functional and transcriptomic analyses highlight the important role of HlMYB7 in fine-tuning and balancing the accumulation of secondary metabolites at the transcriptional level, thus offer a plausible target for metabolic engineering in hop.

plant biology↗

bioRxiv2021

Negative Binomial factor regression with application to microbiome data analysis

The human microbiome provides essential physiological functions and helps maintain host homeostasis via the formation of intricate ecological host-microbiome relationships. While it is well established that the lifestyle of the host, dietary preferences, demographic background, and health status can influence microbial community composition and dynamics, robust generalizable associations between specific host-associated factors and specific microbial taxa have remained largely elusive. Here, we propose factor regression models that allow the estimation of structured parsimonious associations between host-related features and amplicon-derived microbial taxa. To account for the overdispersed nature of the amplicon sequencing count data, we propose Negative Binomial reduced rank regression (NB-RRR) and Negative Binomial co-sparse factor regression (NB-FAR). While NB-RRR encodes the underlying dependency among the microbial abundances as outcomes and the host-associated features as predictors through a rank-constrained coefficient matrix, NB-FAR uses a sparse singular value decomposition of the coefficient matrix. The latter approach avoids the notoriously difficult joint parameter estimation by extracting sparse unit-rank components of the coefficient matrix sequentially. To solve the non-convex optimization problems associated with these factor regression models, we present a novel iterative block-wise majorization procedure. Extensive simulation studies and an application to the microbial abundance data from the American Gut Project demonstrate the efficacy of the proposed procedure. In the American Gut Project data, we identify key factors that strongly link dietary habits and host life style to specific microbial families.

microbiology↗

bioRxiv2021

Structural basis for HCMV Pentamer recognition by antibodies and neuropilin 2

Human cytomegalovirus (HCMV) encodes for multiple surface glycoproteins and glycoprotein complexes1, 2. One of these complexes, the HCMV Pentamer (gH, gL, UL128, UL130 and UL131), mediates tropism to both epithelial and endothelial cells by interacting with the cell surface receptor neuropilin 2 (NRP2)3, 4. Despite the critical nature of this interaction, the molecular determinants that govern NRP2 recognition remain unclear. Here we describe the cryo-EM structure of NRP2 bound to the HCMV Pentamer. The high-affinity interaction between these proteins is calcium-dependent and differs from the canonical C-terminal arginine (CendR) binding that NRP2 typically utilizes5, 6. The interaction is primarily mediated by NRP2 domains a2 and b2, which interact with UL128 and UL131. We also determine the structures of four human-derived neutralizing antibodies in complex with the HCMV Pentamer to define susceptible epitopes. The two most potent antibodies recognize a novel epitope yet do not compete with NRP2 binding. Collectively, these findings provide a structural basis for HCMV tropism and antibody-mediated neutralization, and serve as a guide for the development of HCMV treatments and vaccines.

microbiology↗