Biology subjects

Srivastava, S.

Publications and source records attributed to Srivastava, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Direct detection of electrogenic polyamine transport

Polyamines are cationic metabolites that support critical cellular processes including transcription, translation, and cell proliferation. Although polyamine synthesis and transport are emerging therapeutic targets in human disease, the polyamine transport system remains poorly understood. ATP13A2-4 were recently identified as endolysosomal polyamine exporters, transporting putrescine (PUT), spermidine (SPD), and spermine (SPM) from the vesicular lumen to the cytosol. Despite interest in pharmacologically targeting these transporters, existing assays of transporter function rely on indirect or endpoint measures that cannot resolve transport as it occurs. Here, we report the first voltage-clamp recordings of polyamine transporter activity, directly detecting ATP13A2- and ATP13A3-mediated charge movement across cell membranes. When expressed in Xenopus oocytes, these transporters localized to the plasma membrane, enabling electrophysiological measurements. Polyamines induced inward currents dependent on transporter catalytic activity, and their dose-dependence correlated with ATPase assays. ATP13A2 currents were largest in response to SPM, whereas ATP13A3 currents were largest with PUT, consistent with their established substrate preferences. Polyamine-induced currents were blocked by the polyamine transport inhibitor AMXT-1501. These findings establish ATP13A2 and ATP13A3 as electrogenic polyamine pumps and demonstrate the utility of two-electrode voltage clamp as a label-free, transporter-resolved assay to complement other approaches in polyamine transporter-targeted drug discovery.

biophysics↗

bioRxiv2026

WHAT IS NORMAL? MULTIMODAL CHARACTERIZATION OF NON-DISEASED PEDIATRIC DUODENAL BIOPSIES USING MACHINE LEARNING IMAGE ANALYSIS AND TRANSCRIPTOMICS

Pediatric endoscopy is performed only when clinically indicated, limiting access to healthy duodenal tissue. Biopsies with duodenal no pathologic abnormality (NPA) are often used as controls despite the presence of symptoms or inflammatory disease found elsewhere in the gastrointestinal (GI) tract. We characterized pediatric duodenal NPA tissue across clinical, histologic, cellular, and transcriptomic domains. Methods Archival duodenal NPA biopsies were obtained with clinical metadata and hematoxylin-and-eosin whole-slide images (WSIs). Duodenal mRNA-seq data were analyzed from a subset of patients with duodenal NPA. Clinical metadata and WSIs underwent machine-learning analysis, cell populations were quantified from WSIs, and RNA-seq data underwent differential expression and pathway-enrichment analyses. Results The primary cohort included 195 patients with duodenal NPA. Comparisons between patients with non-duodenal GI disease and those with no GI disease showed differences in inflammatory biomarkers and follow-up utilization. Unsupervised clinical clustering identified three clusters with partial enrichment for IBD with colonic inflammation and Eosinophilic Esophagitis (EoE) with esophageal inflammation. Supervised clinical classification showed modest discrimination. WSI clustering showed limited disease-status discrimination, and cell quantification showed no significant group differences. In the separate RNA-seq cohort of 43 patients, differential-expression and pathway-enrichment analyses identified transcriptional and pathway-level differences between disease-status groups. Conclusions This multi-level characterization indicates that pediatric duodenal NPA tissue should not be treated as a uniform control category. Clinical metadata and transcriptomics revealed clinical and molecular heterogeneity, while histologic and cell analyses showed limited disease-status separation, supporting a refined definition of control tissue.

physiology↗

bioRxiv2026

Coordinated Brain-Network Dynamics of Maternal Adaptation

The maternal brain exhibits impressive plasticity, undergoing many anatomical and functional alterations over the transition to parenting. Such alterations can reflect maternal adaptation to offspring needs, aligning with the onset and maintenance of maternal care behaviors. These brain-wide neural changes occur across stages, starting during pregnancy and continuing through the peripartal transition. We therefore wanted to understand brain changes with pregnancy, parenting, and care behaviors over time. Many brain regions have been implicated in the coordination of maternal adaptation and corresponding care behaviors. We used computational modeling of multi-region neural oscillation data to identify distinct electrical networks during naturally-occurring care behaviors and across multiple maternal stages in outbred, highly maternal mice. This work demonstrates that multi-region oscillatory electrical dynamics at high spatiotemporal resolution reflect these functions. Distinct, discriminative networks predict maternal behavior and stage, showcasing network adaptation with parental transition. Maternal behavior and stage also had substantial effects on other distinct, multi-region oscillatory electrical networks relevant to stress susceptibility, further linking maternal adaptation to the neurophysiology of stress. While these stress networks were perturbed by maternal experience of early life stress, networks trained on maternal behavior and stage remained robust against such perturbation. This suggests a uniquely persistent strength of maternal electrical dynamics. Together, this work supports the role of oscillatory electrical dynamics as networks underlying fundamentally conserved behaviors and transitions, demonstrating wide relevance and significance to brain-behavior discovery.

neuroscience↗

bioRxiv2026

Transcription-induced coacervation accelerates and sensitizes cell-free biosensing

Cell-free biosensors leverage in vitro gene expression reactions to detect chemicals. While inexpensive, modular, and distributable, these platforms are constrained by slow readouts at ambient temperatures, precluding practical field operation. In cells, phase separation accelerates biochemical reactions; however, recapitulating these gains in vitro has remained challenging for complex biochemistries. Here, we report the first self-assembling coacervate system that accelerates in vitro transcription. Prepared by simple mixing, coacervation with spermine and polyacrylic acid occurs dynamically in response to NTP consumption and co-localizes DNA templates and RNA polymerase to accelerate transcription, mimicking intracellular phenomena. We exploit this discovery to accelerate the cell-free biosensing of six ligands, demonstrating that coacervation can preserve platform modularity, improve sensitivity, retain lyophilization compatibility, function in field matrices, and reduce ambient-temperature time-to-signal by hours. This work contributes to a growing understanding of phase separation in biology and advances the use of membrane-less organization for real-world applications.

synthetic biology↗

bioRxiv2026

The Neuro-Immune Axis in Glioma Spontaneous Remission: Evidence from Population-Level Latent Variable Modelling and Transcriptomic Profiling

Gliomas are primary brain tumours that develop from neural stem or progenitor cells containing oncogenic alterations. Gliomas undergo remission with partial or complete disappearance of the disease, and in rare instances, spontaneous remission. Spontaneous remission happens without treatment or with inadequate medical intervention. This is a rare but well-documented phenomenon and has been observed across various tumour types, including gliomas, with varying frequency. While historically viewed as clinical anomalies, we hypothesize that SR may be driven by a measurable, latent neuro-immune axis specifically, autonomic vagal nerve modulation of the tumour microenvironment (TME) via the cholinergic anti-inflammatory pathway. Using a Gamma frailty Cox proportional hazards model on a SEER cohort of 6,939 glioma patients, we identified a latent biological variable (Z) that explains 27.1% of survival variance independent of age, grade, treatment, and tumour location. To determine the molecular basis of this latent survival advantage, we applied parallel frailty and Cox models to the TCGA Lower Grade Glioma and Glioblastoma (LGG+GBM) cohorts. Clinical validation confirmed expected hazards for age and grade, with the frailty model achieving high predictive accuracy (5-year AUC = 0.840; 10-year AUC = 0.841). Transcriptomic integration revealed that the alpha7 nicotinic acetylcholine receptor (CHRNA7) is highly protective, inversely correlating with biological frailty (r = -0.285, p < 0.0001). Conversely, pro-inflammatory cytokines (IL6) and M2 macrophage markers (CD163) positively correlated with frailty. Grade-stratified Cox regression and Kaplan-Meier analyses confirmed that CHRNA7 confers a significant survival advantage entirely independent of tumour grade. Single-cell RNA-sequencing data (Core GBmap) confirmed that CHRNA7 and TLR4 are expressed heavily on tumour-associated macrophages and microglia, rather than malignant cells. Our in-silico integration suggests that high vagal tone releases acetylcholine, binding to alpha7nAChR on TME macrophages. This triggers a signalling cascade that dampens the IL-6 production required for glioma proliferation, effectively halting tumour growth. Ongoing in vitro wet-lab experiments utilizing specific alpha7nAChR agonists (GTS-21) and physiological stress models aim to clinically validate this vagal-immune mechanism.

Cancer Biology↗

bioRxiv2026

RNA-binding proteins activate transcription through defined molecular grammars

Transcription factors (TFs) regulate gene expression through interactions with DNA, RNA, and proteins. RNA-binding proteins (RBPs) also assemble near regulatory elements and mediate RNA processing, yet their perturbation causes transcriptional defects. Here, we find select RBPs activate transcription through latent activation domains akin to TFs. RBP activators regulate distinct genes and interact with transcriptional condensates. Their activation domains are enriched in aromatic and polar residues but depleted of basic residues - essential features that are conserved and partially mimic TF activation domains. We validated additional RBP activators across the human proteome based on this molecular grammar, including the C-terminal domain (CTD) of RPB1, the catalytic subunit of RNA polymerase II. RPB1-CTD activates transcription by recruiting coactivators, demonstrating a non-enzymatic function in transcriptional regulation. These findings position RBPs and RPB1 as transcriptional regulators, explain coupling between transcription and RNA processing, and reveal RNA-RBP regulatory networks that parallel DNA-TF networks.

molecular biology↗

bioRxiv2026

Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets

The complement of tumor cell surface proteins, or "surfaceome", is a rich source of potential immunotherapy targets. To move beyond expression-based target discovery, we previously described "structural surfaceomics," combining crosslinking mass spectrometry (XL-MS) with surface protein biotinylation to identify conformation-selective targets. In our prior work, we applied this method to a single model of acute myeloid leukemia (AML), identifying active integrin beta-2 as a promising target. Here, we expand structural surfaceomics to identify additional immunotherapy targets and surface protein biology across additional models of AML, multiple myeloma, and prostate cancer, as well as donor peripheral blood mononuclear cells. Utilizing these models and different chemical crosslinkers, we compile an extensive database of 5,209 crosslinks. We characterize both shared and unique crosslink-based features, identifying 1,612 disease model-specific crosslinks, including 212 potentially defining tumor-specific conformations based on distance constraint violations relative to AlphaFold predictions. We further implement a suite of emerging modeling tools to predict tumor-specific protein structures. We probe crosslinking patterns suggesting multiple myeloma-specific CD48 and AML-specific integrin 1/{beta}4 heterodimer conformations. This work establishes a resource for cancer structural biology by implementation of structural surfaceomics. Our findings also point toward more realistic protein design models, potentially enabling systematic detection of targetable cancer-specific epitopes for next-generation immunotherapies.

cancer biology↗

bioRxiv2026

Co-expression network analysis reveals repression of Igf2bp2 by REV-ERBβ in skeletal muscle

The circadian clock genes Bmal1 and Nr1d1/2 (REV-ERB/{beta}) regulate skeletal muscle metabolism and homeostasis, yet the precise genes and mechanisms involved remain incompletely understood. Here, we perform Weighted Gene Co-expression Network Analysis (WGCNA) on skeletal muscle circadian transcriptomes with varying Bmal1 operational status to identify genes central to muscle circadian function. The largest WGCNA module, potentially under Bmal1 regulation, contains clock and muscle-specific output genes governed hierarchically by hub genes including Igf2bp2, an RNA-binding protein involved in muscle progenitor growth and maintenance. Igf2bp2 expression is rhythmic in mouse and human muscle and functional experiments in muscle-specific Bmal1 knockout mice show that Igf2bp2 is upregulated by loss of Bmal1 at ZT8 and negatively correlated with Nr1d2, suggesting de-repression through REV-ERB{beta} as a regulatory mechanism. Luciferase reporter experiments in cultured myotubes show that REV-ERB{beta}, but not REV-ERB, represses Igf2bp2 transcription and that repression is mediated by non-canonical GCC motifs in the Igf2bp2 promoter region. Together, these findings uncover a circadian Nr1d2-Igf2bp2 regulatory axis linking transcriptional and post-transcriptional regulation in skeletal muscle, with implications for muscle homeostasis. HighlightsO_LIIgf2bp2 clusters with Nr1d2 (Rev-erb{beta}) in circadian co-expression network C_LIO_LIBmal1 or Rev-erb[a]/{beta} knockout upregulates Igf2bp2 in muscle C_LIO_LIIgf2bp2 is rhythmic in WT muscle but arrhythmic in clock mutant muscle C_LIO_LIREV-ERB{beta} represses Igf2bp2 transcription in myotubes C_LIO_LIREV-ERB{beta} repression requires GCC motifs in the Igf2bp2 promoter C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/724827v1_ufig1.gif" ALT="Figure 1"> View larger version (89K): org.highwire.dtl.DTLVardef@1716a34org.highwire.dtl.DTLVardef@f3a5b1org.highwire.dtl.DTLVardef@33f58org.highwire.dtl.DTLVardef@133e3db_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

bioRxiv2026

Novel regimens for treatment of Mycobacterium avium lung disease based on advanced in vitro systems and the mathematics of basis functions

Azithromycin plus ethambutol plus rifabutin (azithromycin-ethambutol-rifabutin) is the standard-of-care (SOC) for Mycobacterium avium-complex lung disease. The SOC achieves sustained sputum culture conversion in only 43-53% of patients, after an average of 18 months of therapy. Recent quantitative analyses ranked omadacycline, ceftriaxone, and minocycline highest for microbial kill. Azithromycin-minocycline-ethambutol, azithromycin-omadacycline-ethambutol, epetraborole-omadacycline-ethambutol, ceftriaxone-omadacycline-rifabutin, and the SOC were compared in the intracellular hollow fiber system model of M. avium lung disease (HFS-MAC). HFS-MAC units were treated once daily for 28 days to mimic the intrapulmonary pharmacokinetics of each drug. The ceftriaxone concentrations measured in the HFS-MAC were only 1% of those achieved in the lung by standard clinical doses. Changes in the bacterial burden were described using basis functions (BF). For liquid cultures, BF 1 (BF1) was described by a linear regression-based slope, with steepest kill slope (95% Confidence interval) of 7.87 (1.52 to14.23) by ceftriaxone-omadacycline-rifabutin versus 1.04 (-0.84 to 2.92) for SOC. For the CFU/mL readout, the BF1 steepest non-linear kill slope was for ceftriaxone-omadacycline-rifabutin of 0.55 (0.35 to 0.98) log10 CFU/mL/day versus 0.16 (0.07 to 0.25) log10 CFU/mL/day for the SOC. Thus, ceftriaxone-omadacycline-rifabutin is potentially better than the SOC, even though further ceftriaxone dose optimization is required. BF2 described rebound growth and drug-resistant subpopulation growth, and demonstrated that contrary to popular belief, SOC rebound was best explained by ethambutol-resistance (r2>0.99, p=0.01) and not by azithromycin-resistance (r2=0.27, p=0.32), questioning ethambutols role in the SOC. The BF framework is potentially easy to adapt for modeling other anti-infective agents across many infectious diseases.

microbiology↗

bioRxiv2026

Engineering armoured in vivo CAR T cells through targeted delivery and transient mRNA gating

In vivo generation of chimeric antigen receptor (CAR) T cells offers an off-the-shelf, scalable alternative to ex-vivo therapies, but is constrained by inefficiency, toxicity and durability. We report the first armoured in-vivo CAR T platform with tunable, transient activity, that enhances safety and efficacy. Our platform utilises CD8 targeted lipid nanoparticles (LNP) to transiently deliver CAR and armouring membrane-bound IL12 mRNAs. Payloads utilize a T-cell-restricted (T-trex) strategy to constrain CAR and IL-12 expression to T cells, enabling potent antigen-dependent activity with spatio-temporal control. Selective targeting of T-cells with a T-trex CAR showed enhanced expression. The addition of T-trex IL12 mRNA provides a tunable, localised amplification of CAR function, enhancing antigen-dependent cytotoxicity and cytokine production with robust tumour control. These findings establish a novel dose-efficient armoured in-vivo CAR T approach and general framework for programmable immune cell engineering.

immunology↗

bioRxiv2026

Cost adjusted hierarchical defense strategies enables stratified oxidative stress tolerance

Organisms employ diverse adaptive strategies to withstand environmental stresses, yet how bacteria tailor their responses to different magnitudes of the same stressor remains poorly understood. This question is particularly salient for oxidative stress, which varies substantially across physiological niches and exerts distinct selection pressures on colonizing bacterial populations. Here, we used four separate adaptive laboratory evolutions of Escherichia coli across multiple paraquat concentrations and genetic backgrounds to dissect how cells adapt to varying levels of superoxide stress. Integrating multi-omic analyses with tailored genome-scale metabolic modeling, we identify two fundamentally distinct tolerance strategies based on flux control and cellular resource optimization. Under low superoxide stress, blocking polyamine transporter that is hijacked for paraquat influx suffices to maintain redox balance. In contrast, higher stress levels activate an energetically demanding program involving enhanced detoxification of reactive radicals and active efflux that allows cells to maintain higher aerotype. We further demonstrate that flux regulation establishes a primary defense layer, upon which metabolic repair systems act to provide additional fitness advantages. Together, our findings reveal how E. coli differentially engages modular stress-response programs depending on stress magnitude, offering generalizable insights into the principles governing dynamic bacterial adaptation.

microbiology↗

bioRxiv2026

Vascular signals coordinate cerebellar circuitry development

Neural circuit assembly requires precise coordinated interactions between developing neurons and the vasculature, yet the instructive signals provided by endothelial cells remain largely unknown. Here, we identify a vascular-to-neural signaling axis that orchestrates postnatal cerebellar development. Endothelial-specific deletion of the adaptor protein Dab1 in mice disrupted vascular patterning and uncoupled the growth of major cerebellar neuronal populations. We show that endothelial Dab1 in the cerebellum drives secretion of the morphogen Wnt5a, which acts through Frizzled-2 to restrain granule-cell progenitor proliferation and promote Purkinje-cell dendritic maturation. Endothelial Wnt5a deletion phenocopied Dab1 endothelial mutant (Dab1i{Delta}EC) defects, whereas exogenous Wnt5a restored normal progenitor dynamics in Dab1i{Delta}EC cerebellar slices, demonstrating pathway sufficiency. Functionally, loss of this vascular signal impaired Purkinje-cell firing, diminished parallel-fiber input, reduced synapse formation from both parallel and climbing fibers, and disrupted long-term plasticity. These findings reveal a key instructive role for blood vessels in shaping cerebellar architecture and establishing functional circuit connectivity.

neuroscience↗

bioRxiv2026

Frequency-dependent cerebellar circuits independently gate social vocalizations and movement

Communication depends on precise coordination between motor execution and cognition. Here we reveal that the cerebellum exerts real-time control over social vocalizations in adult mice. Optogenetic activation of excitatory cerebellar output in the superior cerebellar peduncle suppressed ultrasonic vocalizations with frequency-dependent potency while inducing distinct motor phenotypes. Systematic, functional mapping across cerebellar regions and cell types revealed that vocal suppression can occur in the absence of overt motor impairment, suggesting selective control of vocal output beyond gross movement disruption. We identified the periaqueductal gray (PAG), a conserved midbrain vocal control center, as a key downstream mediator of this effect. Deep brain stimulation of the PAG rescued vocal deficits in a model of cerebellar dysfunction without rescuing motor incoordination. These findings define a cerebellar-midbrain pathway that gates vocal behavior and demonstrate that targeted therapeutic neuromodulation can selectively restore communication-related output even in the presence of persistent cerebellar-driven motor deficits.

neuroscience↗

bioRxiv2026

Viral rewiring of APC/C-CDC20 drives Aurora B hyperubiquitination, mitotic regression and polyploidy

Cytokinesis requires elaborate processes in the midbody, including the timely inactivation of Aurora B kinase (AurB) and membrane fission to separate the daughter cells. Here, we show that human adenovirus (AdV) perturbs midbody function, prevents daughter separation and induces cytoplasmic regression of both cancer cells and primary diploid human airway basal cells resulting in polyploidy. Infected cells undergo cleavage furrow regression after midbody formation driven by the viral protein E4orf4 independently of E4orf4 interaction with protein phosphatase 2A. The co-activator of the anaphase-promoting complex/cyclosome (APC/C), CDC20 is upregulated in AdV infection and required for regression. E4orf4 directly interacts with CDC20 and redirects the E3-ubiquitin ligase APC/C-CDC20 towards AurB, promoting hyperubiquitination and premature extraction of AurB from the midbody. Loss of midbody-associated AurB coincides with midbody collapse and furrow regression. Our findings reveal a previously unrecognized APC/C-CDC20-dependent pathway controlling late cytokinesis through AurB extraction from the midbody.

cell biology↗

bioRxiv2026

Identification of Human Gut Microbiome Derived Peptides Targeting Biofilm Specific Lectin Proteins of Pseudomonas aeruginosa

The carbohydrate-binding proteins (LecA and LecB) present within the extracellular polymeric substance (EPS) matrix of Pseudomonas aeruginosa play an essential role in maintaining the structural integrity of the biofilms through interactions with the EPS polysaccharides. Therefore, targeting the above lectins can turn out to be one of the promising strategies for disrupting P. aeruginosa biofilms. In the current study, we investigated the potency of antimicrobial peptides (AMPs) produced by the human gut microbiome in targeting LecA and LecB proteins of P. aeruginosa. Initially, a comprehensive in-silico pipeline was developed to identify and characterize putative antibacterial and antibiofilm AMPs produced by the human gut microbiome. These AMPs were then subsequently studied for their interaction with the lectin proteins through molecular docking, MM-GBSA, residue analysis, and molecular dynamics (MD) simulation. Among the studied peptides, amp21 and amp24 exhibited the strongest interactions with the lectin protein, occupying binding sites overlapping with key active-site residues previously reported for raffinose binding. amp6, amp21, and amp24 were selected for in vitro validation based on the MD simulation results of both LecA and LecB proteins. The above selected peptides exhibited minimal hemolytic activity across the tested concentration range. amp21 and amp6 were non-toxic to mammalian cells while amp24 demonstrated cytotoxicity only at higher doses. amp21 was found to be the most potent AMP and inhibited the growth of P. aeruginosa by [~]60% at 50 {micro}g mL{square}{superscript 1}. amp6 and amp21 resulted in a significant disruption of P. aeruginosa biofilms. Membrane permeabilization assays and scanning electron microscopy revealed that amp6, amp21, and amp24 damaged the bacterial cell membranes apart from compromising the integrity of the biofilm EPS matrix. Lastly, through in-silico studies, we designed ultrashort peptides (USPs) from the lead AMPs. The USPs (amp21.4 and amp24.2) exhibit superior antibiofilm efficacy compared to their parent AMPs. These findings establish human-gut microbiome-derived AMPs as promising candidates to target P. aeruginosa biofilms via inhibition of lectin proteins.

microbiology↗

bioRxiv2025

Collagen remodeling promotes a GPCR-mediated mechanosensory immune checkpoint in ADGRG1+ CD8+ T cells and serves as a spatial biomarker of response to immunotherapy

Accessibility of immune cells to the tumor microenvironment (TME) in many solid tumors can be influenced by extracellular matrix (ECM) deposition, organization, and remodeling within tumor stroma. Specifically, lysyl hydroxylase-2 (LH2)-catalyzed lysine hydroxylation in type-I collagen telopeptides leads to formation of intermolecular collagen cross-links creating a stiffened and proteolytically resistant, stable ECM. Advanced head and neck squamous cell carcinomas (HNSCC) frequently exhibit desmoplasia with elevated LH2 expression, and Immune-checkpoint (ICI) therapy is effective in only <20% patients, suggesting that ECM remodeling mechanistically governs the composition and function of TME infiltrates. We show that elevated LH2 and collagen alignment promotes stromal accumulation of CD8 T-cells, and poor response to ICI in HPV-HNSCCs. Integration of clinical biopsies, transcriptomic datasets, and an immunocompetent syngeneic mouse model revealed that aligned collagen spatially restricts adhesion G protein-coupled receptor positive (ADGRG1) CD8 T-cells to activate a non-canonical GPCR-mediated mechanosensory program that drives dysfunction and exhaustion. Statement of significanceDesmoplasia is common in solid tumors, and immune checkpoint inhibitors benefit only some patients. Current biomarkers like PD-L1 and TMB have limited value. Our findings reveal a previously unrecognized collagen-ADGRG1 mechanosensory immune checkpoint, offering a clinically tractable, spatially resolved biomarker to better stratify patients for immunotherapy.

cancer biology↗

bioRxiv2025

NKTR-255, a polymer-conjugated IL-15, synergizes with CAR-T cell therapy to activate endogenous anti-tumor immunity and improve tumor control

CAR-T cells have yet to show widespread efficacy in solid tumors due in part to their poor persistence and loss of function in the tumor microenvironment. Further, heterogenous expression of most CAR target antigens in solid tumors can lead to escape of antigen-null tumors that resist CAR-T killing. Strategies to cooperatively boost both CAR-T and endogenous anti-tumor immunity could curb tumor escape and may be critical for achieving durable efficacy in cancer patients. NKTR-255 is a polymer-conjugated IL-15 with extended half-life that can boost endogenous T and NK cells, as well as CD19 CAR-T activity in B cell malignancies. However, whether NKTR-255 is sufficient to overcome CAR-T dysfunction in the suppressive solid tumor microenvironment, and how NKTR-255 and CAR-Ts together re-shape endogenous anti-tumor immunity, is not known. Using an autochthonous mouse model of ROR1+ lung adenocarcinoma, we show that NKTR-255 significantly boosted accumulation, reduced exhaustion, and improved function of tumor-infiltrating CAR-T cells. Compared with NKTR-255 or CAR-T treatment alone, combination of NKTR-255 and CAR-T therapy synergistically increased tumor-infiltrating CD11b+ cytotoxic NK cells, activated dendritic cells, and endogenous tumor-specific T cells that preserved a PD-1+Tcf1+ stem-like phenotype. Consequently, NKTR-255 and CAR-T combination therapy induced complete elimination of ROR1+ tumor and significantly improved survival, with enhanced tumor control dependent on activity of both CAR-Ts and endogenous T cells. Altogether, our data suggest that combining NKTR-255 with CAR-T therapy is a promising strategy to enhance both CAR-T and endogenous anti-tumor immunity to promote coordinated control of aggressive tumors.

immunology↗

bioRxiv2025

High-Quality Synthetic Annotated Tissue Data Using Conditional Generative Adversarial Networks

We present a deep-learning based pipeline for generating high-quality synthetic instance-segmentation datasets of tissues undergoing early gastrulation in chick embryo. We create point-clouds using the Lennard-Jones potential and learn an image-to-image translation from these point-clouds to create synthetic tissue images and auxiliary flow tensors using a Generative Adversarial Network, from which the segmentation masks are derived. We evaluate the downstream utility of our synthetic data by training Cellpose and Stardist models from scratch under data replacement and data augmentation scenarios, show that the synthetic datasets effectively capture the statistical properties of the real dataset, and show that our synthetic data improves segmentation performance on a held-out test set. This approach substantially reduces expert annotation time, as late-stage gastrulation data are challenging to acquire and manually label, while similar synthetic examples can be flexibly generated from easily obtainable and annotated early-stage data. Code: https://gitlab.com/siddharthsrivastava/synthetic-tissue-data

bioinformatics↗