Biology subjects

Azad, T.

Publications and source records attributed to Azad, T..

7 recordsLinked to original sources

bioRxiv2026

A ribosomal pseudouridine drives an oncogenic translation program

Dynamic ribosome heterogeneity has emerged as a potential layer of translational regulation, but whether variation in ribosomal RNA (rRNA) modification stoichiometry can selectively control the translation of mRNAs with shared encoded features remains unclear. Here we show that SNORA81-guided pseudouridylation at U4636 controls a selective translational program in ovarian cancer cells. U4636 is partially pseudouridylated and lies within 28S rRNA near eL31 and the peptide exit tunnel. Depletion of SNORA81 reduces pseudouridylation at U4636 without broadly perturbing rRNA processing or bulk translation. Instead, it remodels codon-specific and nascent-peptide-associated pausing and the polysome association of SNORA81-dependent translationally altered mRNAs. These mRNAs display characteristic GC content and amino-acid composition, are enriched in cancer-related functions and show corresponding changes in protein levels. Our findings support a model in which a change in the abundance of a single snoRNA propagates from rRNA-modification stoichiometry through ribosome dynamics and selective mRNA translation to protein output and cancer cell proliferation. We term this multilevel amplification cascade the "sno-balling" effect.

cancer biology↗

bioRxiv2026

Dendritic cell PD-L2 restrains intratumoral CD8+ T cell immunity

Blockade of inhibitory PD-1 signaling on T cells is a cornerstone of cancer immunotherapy, with current strategies targeting PD-1 or its ligand PD-L1. However, PD-1 engages an alternative ligand, PD-L2, whose role in tumor immunity remains poorly defined. Here, we show that PD-L2 is upregulated on intratumoral CCR7+ conventional dendritic cells (cDCs) in both mouse and human melanoma. Using genetic mouse models enabling selective ablation of PD-L1 or PD-L2 in cDCs, we identify a division of labor between these ligands: PD-L1 controls the size of the progenitor CD8 T cell pool in tumor-draining lymph nodes by modulating stem-like CD8 T cells, whereas PD-L2 limits progenitor exhausted CD8 T cell differentiation within the tumor microenvironment. Loss of PD-L2 in cDCs enhances cytotoxic CD8 T cell responses and suppresses tumor growth, particularly in tumors enriched for CCR7+ cDC1s. Consistent with this, increased CCR7+ cDC abundance is associated with poor prognosis in human cancers. Spatial transcriptomic analyses reveal co-localization of CCR7+ cDC1s and Tpex within CCL19hi niches, where cancer-associated fibroblasts serve as the predominant source of CCL19. Finally, intratumoral GM-CSF drives PD-L2 expression on CCR7+ cDCs, with Tpex and NK cells as major sources. Together, these findings establish cDC-associated PD-L1 and PD-L2 as spatially and functionally distinct checkpoints governing CD8 T cell differentiation. Our results suggest that the abundance of CCR7+ cDC1s may guide the choice between anti-PD-1 and anti-PD-L1 therapies and support the development of PD-L2-directed blockade.

immunology↗

bioRxiv2026

Benchmarking cell type deconvolution in spatial transcriptomics and application to cancer immunotherapy

Cell type deconvolution is essential for resolving multicellular composition in spatial transcriptomics data, yet the accuracy and consistency of current methods across biological contexts remain uncertain. We introduce a benchmarking framework using realistic simulations that incorporate spatial and transcriptional complexity. We find that a simple marker gene signature scoring approach performs competitively, often outperforming more complex models, particularly for rare cell types. We further apply this method to a new spatial transcriptomics dataset profiling the early response to a single dose of anti-PD1 checkpoint blockade immunotherapy in a mouse cancer model, revealing pronounced spatially localized immune and microenvironmental changes in both tumors and draining lymph nodes. Our findings have implications for the interpretation of many published spatial transcriptomics studies that rely on cell type deconvolution, and they provide a robust, interpretable strategy for future analyses, even in the absence of matched single-cell references. Highlights- Framework for realistic benchmarking of spatial deconvolution methods - Marker gene scoring performs robustly for rare cell types across diverse datasets - Single-dose anti-PD1 cancer immunotherapy triggers profound localized response

genomics↗

bioRxiv2025

Spatiotemporal Single-Cell Analysis Reveals T Cell Clonal Dynamics and Phenotypic Plasticity in Human Graft-versus-Host Disease

Allogeneic hematopoietic cell transplantation (alloHCT) is curative for various hematologic diseases but often leads to acute graft-versus-host disease (GVHD), a potentially life-threatening complication. We leverage GVHD as a uniquely tractable disease model to dissect complex T-cell-mediated pathology in 27 alloHCT recipients. We integrate pre-transplant identification of alloreactive T-cells with longitudinal tracking across blood and gut, using mixed lymphocyte reaction-based clonal "fingerprinting", TCR clonotyping, single-cell RNA/TCR sequencing, and spatial transcriptomics. Using DecompTCR, a novel computational tool for longitudinal TCR analysis, we uncover clonal expansion programs linked to GVHD severity and TCR features. Multi-omics profiling of gut biopsies reveals enrichment and clonal expansion of CD8 effector and ZNF683(Hobit) resident memory T-cells, cytolytic remodeling of regulatory and unconventional T-cells, and localization of CD8 effector T-cells near intestinal stem cells in crypt loss regions. This framework defines dynamic immune circuit rewiring and phenotypic plasticity with implications for biomarkers and therapies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/655962v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@178b77dorg.highwire.dtl.DTLVardef@569226org.highwire.dtl.DTLVardef@1951281org.highwire.dtl.DTLVardef@1f1e046_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIPersistent expansion of diverse alloreactive T cell clones is a hallmark of severe GVHD C_LIO_LIDecompTCR reveals dynamic clonal expansion programs linked to GVHD severity and clinical outcome C_LIO_LICD8+ T cell clones exhibit phenotypic plasticity in vivo across intestinal tissue compartments in GVHD C_LIO_LIHigh-resolution spatial profiling shows CD8+ effector T cells localize near intestinal stem cell niches and drive epithelial injury in GVHD C_LI

systems biology↗

bioRxiv2021

Plant-based expression of SARS-CoV-2 antigens for use in an oral vaccine

Oral and intra-nasal vaccines represent a key means of inducing mucosal-based immunity against infection with SARS-CoV-2, yet such vaccines represent only a minority of candidates currently in development. In this brief communication, we assessed the expression of the SARS-CoV-2 Receptor Binding Domain (RBD) subunit of the surface-exposed Spike glycoprotein in the leaves of nine edible plant species (lettuce, spinach, collard greens, tomato, cucumber, radish, arugula, pepper, and Coho greens), with a goal of identifying a suitable candidate for the development of an oral vaccine against COVID-19. We report lettuce (Lactuca sativa L. cv. Hilde II Improved) to be a preferred host to support in planta expression of SARS-CoV-2 RBD, representing an important first step towards development of a plant-based oral vaccine.

plant biology↗

bioRxiv2021

Characterization of Critical Determinants of ACE2-RBD Interaction

Despite sequence similarity to SARS-CoV-1, SARS-CoV-2 has demonstrated greater widespread virulence and unique challenges to researchers aiming to study its pathogenicity in humans. The interaction of the viral receptor binding domain (RBD) with its main host cell receptor, angiotensin-converting enzyme 2 (ACE2), has emerged as a critical focal point for the development of anti-viral therapeutics and vaccines. Utilizing our recently developed NanoBiT technology-based biosensor, we selectively identify and characterize the impact of mutating certain amino acid residues in the RBD of SARS-CoV-2 and in ACE2. Specifically, we examine the mutational effects on RBD-ACE2 binding ability, before and after the addition of competitive inhibitors, as well as neutralizing antibody activity. These critical determinants of virus-host interactions may provide more effective targets for ongoing vaccines, drug development, and potentially pave the way for determining the genetic variation underlying disease severity.

microbiology↗

bioRxiv2019

Multiplexed biosensors for precision bacteria tropism in vivo

The engineering of microbes spurs biotechnological innovations, but requires control mechanisms to confine growth within defined environments for translation. Here we engineer bacterial growth tropism to sense and grow in response to specified oxygen, pH, and lactate signatures. Coupling biosensors to drive essential gene expression reveals engineered bacterial localization within upper or lower gastrointestinal tract. Multiplexing biosensors in an AND logic-gate architecture reduced bacterial off-target colonization in vivo.

synthetic biology↗