Biology subjects

Ramirez, D.

Publications and source records attributed to Ramirez, D..

At least 19 recordsLinked to original sources

bioRxiv2026

Patient-Derived Synovium-on-a-Chip Recapitulates Disease and Treatment Response and Permits Study of Resistance

Rheumatoid arthritis (RA) is a chronic inflammatory disease with substantial interpatient heterogeneity in synovial pathology and therapeutic response. Reliable methods to predict drug efficacy for a given patients remain a critical unmet need. We developed a vascularized, immunocompetent synovium-on-a-chip platform that integrates patient-derived fibroblast-like synoviocytes (FLS) with matched peripheral blood leukocytes to provide a physiological human model of RA. The platform reconstructed the lining-sublining synovial architecture, recapitulated key features of RA inflammation, and exhibited transcriptional profiles resembling those of patient synovial tissue. Across patients spanning low, mixed, and high inflammatory endotypes, stromal-vascular organization was associated with distinct immune cell positioning and activation patterns, and on-chip immune phenotypes correlated with histological joint inflammation scores. We then tested infliximab, tocilizumab, and tofacitinib in parallel and integrated cytokine secretion, extracellular matrix remodeling, immune cell survival and immune cell recruitment into a composite treatment response score. On-chip scores for clinically matched treatments correlated with clinical improvement measured by {Delta}DAS28-ESR (Pearson r = 0.844). To investigate the cellular basis of heterogeneous drug responses, single-cell RNA sequencing identified SFRP1 remodeling FLS that persisted under treatment and exhibited high inflammatory programs in poorly responding chips. Cell-cell communication analysis linked reduced FN1-CD44 signaling toward SFRP1 remodeling FLS to higher NF-{kappa}B activity and drug resistance. We tested the functional relevance of this finding in chips derived from an independent TNFi-nonresponsive patient, where fibronectin supplementation reduced IL-6 secretion and restored the composite treatment response. Together, these findings support patient-derived synovium-on-a-chip as a platform for individualized drug evaluation and identify ECM-mediated niche signaling as a potential therapeutic target for overcoming drug resistance in RA.

bioengineering↗

bioRxiv2026

Binding dynamics shape germinal center broadly neutralizing responses to HIV priming

Inducing broadly neutralizing antibodies (bnAbs) is central to HIV vaccine efforts, but bnAb precursors are rare, often inactive, and require extensive somatic hypermutation (SHM) to recognize diverse, glycan-shielded epitopes. Germline-targeting immunogens (GTs) aim to jump-start this process, but determinants of success remain unclear. Here we establish a bnAb precursor-trackable model that reveals a surprising driver: binding dynamics. Across a series of GTs, multivalent designs that engage B-cells transiently - not tightly - consistently outperformed others, boosting germinal center fitness and unlocking rare or more efficient SHM pathways for breadth. These effects were independent of affinity or precursor frequency. Single-cell transcriptomics uncovered gene programs that predict successful priming. Crucially, this scalable system provides general predictive power for immunogen performance, marking a major advance for not only HIV vaccine development, but also potentially establishing a broadly applicable framework for streamlining pre-clinical pipelines, including immunogenicity and safety evaluation.

immunology↗

bioRxiv2026

SPP1hi macrophages in fibrin niches promote hyperplastic tissue remodeling in rheumatoid arthritis synovium

In chronic inflammatory diseases, maladaptive tissue remodelling is driven by a complex interplay of resident cells, immune filtrates and the extracellular matrix. In the autoimmune disorder rheumatoid arthritis (RA), synovial tissue undergoes assive expansion to form an invasive pannus that drives the erosion of cartilage and bone. The mechanisms mediating this ggressive growth are incompletely defined. Using spatial transcriptomics profiling of patient tissue, we detected an bundance of proliferating fibroblasts near the synovial tissue lining surface and adjacent to SPP1hi macrophages. Notably, ese synovial lining regions were also distinctly marked by deposits of the clot-forming protein fibrin. While the SPP1hi acrophages phenotypically resemble pro-fibrotic macrophages that drive lung and liver fibrosis, these niches were devoid f the dense highly ordered collagen that marks fibrosis. Functionally, we found that SPP1hi macrophages degrade and hagocytose fibrin matrices and promote fibroblast proliferation. As fibrin provides transient matrices for de novo tissue eneration in the context of wound healing, these data support a model of hyperplastic tissue outgrowth involving SPP1hi acrophages, fibroblasts and fibrin matrices adhered to the exterior synovial tissue surface. While current RA therapies rimarily aim to dampen pro-inflammatory responses, our findings provide rationale for targeting pro-generative pathways nd SPP1hi macrophages. Once Sentence SummarySPP1hi macrophages in RA synovial fibrin deposits promote tissue hyperplasia.

immunology↗

bioRxiv2026

Synovial transcriptional clusters link cartilage degeneration to cell-type-specific gene expression in knee osteoarthritis

ObjectivesTo identify synovial transcriptional clusters in human knee osteoarthritis (OA) and determine how these relate to synovial histologic features, cell-type-associated gene expression, and cartilage degeneration severity. MethodsBulk RNA sequencing (RNA-seq) of synovial tissue from n = 135 patients with knee OA was analyzed using consensus clustering. Clusters were compared by clinical and histologic features, including cartilage degeneration severity (OARSI score). Single-cell RNA-seq (n = 18) and spatial transcriptomics were used to relate cartilage degeneration-associated gene expression patterns to synovial cell populations. ResultsFour synovial transcriptional clusters that differed in synovial histologic features and cartilage degeneration severity were identified. Greater cartilage degeneration was associated with enrichment of lining fibroblast- and inflammatory myeloid-associated gene expression, whereas lesser cartilage degeneration was associated with enrichment of sublining fibroblast, endothelial, mural cell, and adipocyte-associated gene expression. ConclusionsHuman knee OA synovium segregates into transcriptional clusters associated with cartilage degeneration severity. Synovial transcriptional heterogeneity corresponds to cell-type-associated gene expression. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSO_LIOsteoarthritis synovium exhibits marked histologic and molecular heterogeneity. C_LIO_LISynovial inflammation detected by MRI correlates with cartilage degeneration and predicts progressive cartilage loss in knee OA. C_LIO_LIPrior transcriptomic studies have identified molecular subsets of OA synovium, but their relationship to cartilage degeneration severity remains unclear. C_LI What this study addsO_LIOA synovium segregates into four transcriptional clusters: Sublining (C1), Lymphomyeloid (C2), Myeloid (C3), and Major trauma (C4). C_LIO_LIGreater cartilage degeneration is associated with enrichment of inflammatory myeloid and lining fibroblast gene expression, whereas lesser degeneration is associated with enrichment of adipocyte, sublining fibroblast, endothelial, and mural cell-associated gene expression. C_LI How this study might affect research, practice or policyO_LIProvides a framework for a clinically relevant biological stratification of OA patients based on synovial molecular features. C_LIO_LIInforms future efforts to link synovial biology with OA prognosis, cartilage degeneration, treatment allocation, and development of targeted therapeutic strategies. C_LI

genomics↗

bioRxiv2026

The Chromobacterium Volatilome is Strongly Influenced by Growth on Liquid versus Solid Media

The study of microbial volatile organic compounds (mVOCs) is a growing area of research, with applications ranging from agriculture to human health. The majority of the mVOC data are from in vitro liquid cultures, while few analyses of bacterial and fungal volatilomes on solid media cultures exist. Studies comparing liquid versus solid cultures of bacteria and fungi show significant changes to the soluble metabolites that are produced, suggesting that large differences would be observed for mVOCs based on the culture conditions. To test this idea, we characterized the volatilomes of Chromobacterium violaceum (strain ATCC(R) 12472) and C. vaccinii (strain MWU328), and those of their isogenic cviR- quorum sensing mutants cultured on solid versus liquid Kings Medium B media. VOCs were sampled using thin-film solid-phase microextraction (TF-SPME) and analyzed by two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS). Of the three variables examined - Chromobacterium species, media type, and quorum sensing ability - growth on liquid versus solid media caused the most significant differences in the volatilomes. Bacterial species and quorum sensing ability were also influential, but to a lesser degree. Our findings indicate the importance of growth conditions in microbial volatilomics, and therefore, more consideration should be given to how microorganisms are cultured for volatilome analyses. ImportanceThe purpose of this work is to elucidate the differences in the volatile metabolic profiles of Chromobacterium spp. by exploring them through the lens of three variables: growth conditions, species, and the ability to quorum sense. Work on organismal metabolic differences stemming from factors such as liquid versus solid media types remains broadly overlooked. Understanding these effects will allow future researchers to design more robust experiments that better translate to native microbial ecosystems such as rhizosphere and phyllosphere, where volatile compounds may influence plant-pathogen or plant-saprobe interactions.

microbiology↗

bioRxiv2026

Cancer drives atherosclerotic plaque vulnerability by inducing pathological angiogenesis

Cardiovascular disease (CVD) is the leading cause of death for many cancer survivors, a phenomenon traditionally attributed to shared risk factors and cardiotoxic chemotherapies. Here, we hypothesized that cancer may also directly promote atherosclerosis. Propensity-matched analyses confirmed significantly elevated cardiovascular event rates amongst cancer patients, independent of comorbidities such as smoking. Atheroprone mice implanted with colorectal tumors demonstrated accelerated features of plaque vulnerability, driven by pathological angiogenesis and intraplaque hemorrhage. Mechanistically, tumor-secreted TNF- induced the pro-angiogenic factor LRG1 across multiple murine models and human plaques. Therapeutic interventions targeting these pathways, including with FDA-approved cytokine inhibitors or tumor resection, prevented plaque destabilization in mice and reduced coronary revascularization rates in patients. Together, these findings suggest that cancer may causally promote CVD and unveil novel translational strategies for cancer survivors.

pathology↗

bioRxiv2025

Base Composition Influences the Position andPrecision of RNA Polymerase II Disassociation inBasal and Perturbed Conditions.

RNA Polymerase II (Pol II) transcribes all protein-coding and many non-protein coding genes in the genome. Pol II transcription termination is crucial for mRNA maturation and, when disrupted, can lead to altered mRNA processing and mRNA export. Termination involves two intertwined processes: pre-mRNA cleavage and Pol II release from the DNA (disassociation). Despite its importance, the exact mechanisms underlying Pol II disassociation from the DNA remain poorly understood. Moreover, under certain cellular stress conditions, there is a partial failure of cleavage, leading to a shift of the position of disassociation further downstream, a phenomenon known as run-on transcription. We performed the first-ever systematic analysis of Pol II termination across cell types and species and provide novel insights into the mechanism of disassociation. Using a probabilistic mixture model to quantify Poll II dynamics across an entire gene body from nascent RNA sequencing data, we discovered that genes have two types of conserved regions near the disassociation site: one characterized by a T-rich region upstream of disassociation, and another characterized by a GC-rich region surrounding disassociation. Strikingly, the GC-rich disassociation regions have more accessible chromatin and higher levels of phospho-threonine 4 on the CTD of Pol II. Additionally, we find that upstream T-rich genes are preferentially affected by perturbations that alter disassociation, including heat-shock, viral infection, kinase inhibition, and arsenic treatment. Thus, our work has determined there are two types of Pol II disassociation regions, which are differentially affected by perturbation of cellular homeostasis.

genomics↗

bioRxiv2025

A Human Hippocampal Organoid Model with Sustained Neural Stem Cells Reveals State Shifts Under Glucocorticoid Stress

The human hippocampus is a critical brain region for learning, memory, and stress regulation, distinguished by its ability to sustain neurogenesis after birth. This plasticity is driven by hippocampal neural stem cells (NSCs), which generate new neurons and maintain circuit integrity, but are highly sensitive to environmental and pathological influences. Mechanistic insight into human hippocampal development and neurogenesis remains limited by the absence of physiologically relevant models. Here, we establish an optimized protocol to generate human induced pluripotent stem cell-derived hippocampal organoids that recapitulate key features of hippocampal development. These organoids maintain organized NSC niches, support ongoing neurogenesis, and generate hippocampus-specific cell types. Cellular, transcriptomic, and electrophysiological analyses confirm progressive neuronal maturation, synapse formation, and functional activity, highlighting the physiological relevance of the system. Using this model, we modeled excess prenatal glucocorticoid exposure with dexamethasone, which perturbed NSC dynamics by reducing proliferation and inducing a precocious quiescent-like state. RNA sequencing revealed downregulation of NSC activation genes and upregulation of quiescence- and autophagy-associated programs, suggesting that glucocorticoid signaling enforces an early transition toward quiescence. These findings reveal a mechanism by which excessive glucocorticoid exposure may impair hippocampal growth. Together, this study introduces a robust human hippocampal organoid platform for dissecting the regulation of hippocampal development and for modeling the impact of environmental stressors on human neurogenesis.

neuroscience↗

bioRxiv2025

CK2 inhibition suppresses glial inflammation in the brain

Neuroinflammation plays a key role in Alzheimers disease (AD) and related neurodegenerative disorders. Chronic activation of astrocytes and microglia fuels neuronal damage via cytokine secretion, oxidative stress, and proteolysis. However, glial inflammatory regulation remains poorly understood. Using chemoproteomics, we identified CK2, particularly the brain-enriched catalytic subunit CK22, as a key driver of astrocytic inflammation. CK2 enhances NF-{kappa}B activity by phosphorylating NF-{kappa}B S529 and I{kappa}B S32, promoting pro-inflammatory gene expression. CK2 inhibition via genetic or chemical approaches dampens inflammation, including IL-6 and IL-8 expression in an acute neuroinflammation mouse model. CK22 is upregulated in AD postmortem tissues and patient-derived astrocytes. AD astrocytes exhibit a hyperinflammatory state that can be attenuated by CK2 inhibition. Overexpression of CK22 in cortical organoids mimics AD pathology, whereas CK2 inhibition using the potent, selective, and brain-penetrant probe TAL606 rescues inflammatory markers in transgenic AD mice. These findings position CK2 as a central regulator of neuroinflammation and a promising therapeutic target for AD and related disorders.

neuroscience↗

bioRxiv2025

Atad3 is Essential for Mitochondrial Permeability Transition Pore Opening and Cardiac Ischemia Reperfusion Injury.

The molecular identity of the mitochondrial permeability transition pore (mPTP) has remained elusive since the discovery of its existence over 75 years ago. Despite the numerous candidate proteins proposed, none have withstood genetic ablation, leaving them relegated to auxiliary regulatory roles. To date, no essential mPTP component has been identified. Here, we establish ATAD3 as the first essential component of the mPTP. Genetic deletion of Atad3 in cardiomyocytes and hepatocytes renders heart and liver mitochondria incapable of undergoing Ca2+-induced mPTP-dependent swelling. Moreover, these mitochondria exhibit the highest Ca2+ retention capacity ever reported following genetic perturbation of the mPTP. Furthermore, patch-clamp recordings of recombinant ATAD3a in liposomes reveal intrinsic channel activity. Given the established role of mPTP-dependent necrosis in driving ischemia/reperfusion (I/R) injury, we show that cardiac-specific Atad3 deletion markedly reduces infarct size following I/R, with no additive protection from cyclosporine A. Together, these findings establish ATAD3 as an core, putative pore-forming component essential for mPTP opening and mPTP-dependent necrosis, resolving a long-standing mystery in mitochondrial biology.

cell biology↗

bioRxiv2025

Role of GLP1-receptor-mediated α-β-cell communication in functional β-cell heterogeneity.

While islet {beta}-cells were first viewed as a singular functional entity, since the 1970s findings reveal that individual {beta}-cells differ in their insulin secretion. More recently distinct functional subpopulations based on differential calcium dynamics have been demonstrated to drive islet function. Here, we investigate how paracrine signaling, specifically glucagon-like peptide receptor (GLP-1R)-mediated -{beta}-cell communication shapes functional {beta}-cell heterogeneity. To address this, we utilized confocal imaging of calcium responses in isolated islets from GCaMP6s mice and in islets from pancreatic slices of C57BL/6 mice, both before and after a GLP-1R antagonist (exendin-9) treatment. Inhibiting -{beta}-cell communication prolonged response time, increased 1st phase heterogeneity, and decreased the 1st phase response peak. Additionally, it reduced 2nd phase oscillation frequency and heterogeneity, thereby enhancing 2nd phase coordination across {beta}-cells. These changes were more pronounced in -neighboring {beta}-cells. Moreover, addition of exendin-9 disrupted the temporal consistency and -cell proximity of hub-cells and (to a lesser degree) 1st responder {beta}-cells. Together, these findings underscore the importance of engineering islets containing both - and {beta}-cells for stem cellderived islet replacement therapies for Type-1diabetes. Article Highlights{whitebullet} Role of GLP-1R mediated -{beta} cell communication in functional {beta}-cell heterogeneity was unclear. {whitebullet}Does GLP-1R inhibition affect all {beta}-cells uniformly, or will -neighboring cells be affected more? Is existence of 1st responder and hub cell subpopulations shaped by GLP-1R signaling? {whitebullet}GLP-1R inhibition decreases multiple metrics or {beta}-cell responsiveness - especially in -neighboring {beta}-cells. It diminishes spatiotemporal consistency of hub {beta}-cells and (to a lesser degree) 1st responders. {whitebullet}Islet-local GLP-1R communication in absence of exogenous GLP-1 is sufficient for significant control of {beta}-cell function. Incorporating -cells into the engineered islets can improve islet replacement outcomes.

bioengineering↗

bioRxiv2025

Deep topic modeling of spatial transcriptomics in the rheumatoid arthritis synovium identifies distinct classes of ectopic lymphoid structures

Single-cell RNA sequencing studies have revealed the heterogeneity of cell states present in the rheumatoid arthritis (RA) synovium. However, it remains unclear how these cell types interact with one another in situ and how synovial microenvironments shape observed cell states. Here, we use spatial transcriptomics (ST) to define stable microenvironments across eight synovial tissue samples from six RA patients and characterize the cellular composition of ectopic lymphoid structures (ELS). To identify disease-relevant cellular communities, we developed DeepTopics, a scalable reference-free deconvolution method based on a Dirichlet variational autoencoder architecture. DeepTopics identified 22 topics across tissue samples that were defined by specific cell types, activation states, and/or biological processes. Some topics were defined by multiple colocalizing cell types, such as CD34+ fibroblasts and LYVE1+ macrophages, suggesting functional interactions. Within ELS, we discovered two divergent cellular patterns that were stable across ELS in each patient and typified by the presence or absence of a "germinal-center-like" topic. DeepTopics is a versatile and computationally efficient method for identifying disease-relevant microenvironments from ST data, and our results highlight divergent cellular architectures in histologically similar RA synovial samples that have implications for disease pathogenesis.

immunology↗

bioRxiv2024

Attentive graph neural network models for the prediction of blood brain barrier permeability

The blood brain barriers (BBB) unique endothelial cells and tight junctions selectively regulate passage of molecules to the central nervous system (CNS) to prevent pathogen entry and maintain neural homeostasis. Various neurological conditions and neurodegenerative diseases benefit from small molecules capable of BBB penetration (BBBP) to elicit a therapeutic effect. Predicting BBBP often involves in silico assessment of molecular properties such as lipophilicity (logP) and polar surface area (PSA) using the CNS multiparameter optimization (MPO) method. This study curated an open-source dataset to benchmark rigorously machine learning (ML) and neural network (NN) models with each other and with MPO for predicting BBBP. Our analysis demonstrated that AI models, especially attentive NNs using stereochemical features, significantly outperform MPO in predicting BBBP. An attentive graph neural network (GNN), we refer to as CANDID-CNS, achieved a 0.23-0.26 higher AUROC score than MPO on full test sets, and a 0.17-0.19 higher score on stereoisomers filtered subsets. Regarding stereoisomers that differ in BBBP, which MPO cannot distinguish, attentive GNNs correctly classify these with AUROC and MCC metrics comparable to or better than MPOs AUROC and MCC on less difficult test molecules. These findings suggest that integrating attentive GNN models into pharmaceutical drug discovery processes can substantially improve prediction rates, and thereby reduce the timeline, cost, and increase probability of success of designing brain penetrant therapeutics for the treatment of a wide variety of neurological and neurodegenerative diseases.

pharmacology and toxicology↗

bioRxiv2024

Dissecting reversible and irreversible single cell state transitions from gene regulatory networks

Understanding cell state transitions and their governing regulatory mechanisms remains one of the fundamental questions in biology. We develop a computational method, state transition inference using cross-cell correlations (STICCC), for predicting reversible and irreversible cell state transitions at single-cell resolution by using gene expression data and a set of gene regulatory interactions. The method is inspired by the fact that the gene expression time delays between regulators and targets can be exploited to infer past and future gene expression states. From applications to both simulated and experimental single-cell gene expression data, we show that STICCC-inferred vector fields capture basins of attraction and irreversible fluxes. By connecting regulatory information with systems dynamical behaviors, STICCC reveals how network interactions influence reversible and irreversible state transitions. Compared to existing methods that infer pseudotime and RNA velocity, STICCC provides complementary insights into the gene regulation of cell state transitions.

systems biology↗

bioRxiv2024

An Unbiased Proteomic Platform for Activity-based Arginylation Profiling

Protein arginylation is an essential posttranslational modification (PTM) catalyzed by arginyl-tRNA-protein transferase 1 (ATE1) in mammalian systems. Arginylation features a post-translational conjugation of an arginyl to a protein, making it extremely challenging to differentiate from translational arginine residues with the same mass in a protein sequence. Here we present a general ATE1-based arginylation profiling platform for the unbiased discovery of arginylation substrates and their precise modification sites. This method integrates isotopic arginine labeling into an ATE1 assay utilizing biological lysates (ex vivo) rather than live cells, thus eliminating translational bias derived from the ribosomal activity and enabling bona fide arginylation identification using isotopic features. The method has been successfully applied to an array of peptide, protein, cell, patient, and animal tissue samples using 20 {micro}g sample input, with 235 unique arginylation sites revealed from human proteomes. Representative sites were validated and followed up for their biological functions. The developed platform is globally applicable to the aforementioned sample types and therefore paves the way for functional studies of this difficult-to-characterize protein modification.

biochemistry↗

bioRxiv2024

Identification of Druggable Binding Sites and Small Molecules as Modulators of TMC1

Our ability to hear and maintain balance relies on the proper functioning of inner ear sensory hair cells, which translate mechanical stimuli into electrical signals via mechano-electrical transducer (MET) channels, composed of TMC1/2 proteins. However, the therapeutic use of ototoxic drugs, such as aminoglycosides and cisplatin, which can enter hair cells through MET channels, often leads to profound auditory and vestibular dysfunction. Despite extensive research on otoprotective compounds targeting MET channels, our understanding of how small-molecule modulators interact with these channels remains limited, hampering the discovery of novel drugs. Here, we propose a structure-based screening approach, integrating 3D-pharmacophore modeling, molecular dynamics simulations of the TMC1+CIB2+TMIE complex, and experimental validation. Our pipeline successfully identified several novel compounds and FDA-approved drugs that reduced dye uptake in cultured cochlear explants, indicating MET-modulation activity. Simulations, molecular docking and free-energy estimations allowed us to identify three potential drug-binding sites within the channel pore, phospholipids, key amino acids involved in modulator interactions, and TMIE as a flexible component of the MET complex. We also identified shared ligand-binding features between TMC and structurally related TMEM16 proteins, providing novel insights into their distinct inhibition. Our pipeline offers a broad application for discovering modulators for mechanosensitive ion channels.

neuroscience↗

bioRxiv2024

Constitutive sodium permeability in a C. elegans two-pore domain potassium channel

Two-pore domain potassium (K2P) channels play a central role in modulating cellular excitability and neuronal function. The unique structure of the selectivity filter in K2P and other potassium channels determines their ability to allow the selective passage of potassium ions across cell membranes. The nematode C. elegans has one of the largest K2P families, with 47 subunit-coding genes. This remarkable expansion has been accompanied by the evolution of atypical selectivity filter sequences that diverge from the canonical TxGYG motif. Whether and how this sequence variation may impact the function of K2P channels has not been investigated so far. Here we show that the UNC-58 K2P channel is constitutively permeable to sodium ions and that a cysteine residue in its selectivity filter is responsible for this atypical behavior. Indeed, by performing in vivo electrophysiological recordings and Ca2+ imaging experiments, we demonstrate that UNC-58 has a depolarizing effect in muscles and sensory neurons. Consistently, unc-58 gain-of-function mutants are hypercontracted, unlike the relaxed phenotype observed in hyperactive mutants of many neuromuscular K2P channels. Finally, by combining molecular dynamics simulations with functional studies in Xenopus laevis oocytes, we show that the atypical cysteine residue plays a key role in the unconventional sodium permeability of UNC-58. As predicting the consequences of selectivity filter sequence variations in silico remains a major challenge, our study illustrates how functional experiments are essential to determine the contribution of such unusual potassium channels to the electrical profile of excitable cells. SIGNIFICANCEPotassium channels play a central role in modulating cellular excitability, particularly of neuronal cells. Their unique structure determines their ability to let ions pass selectively through cell membranes. The impact of pathological or evolutionary variations in this selectivity filter remains difficult to predict. Here, we reveal that UNC-58, a member of the two-pore domain potassium channel family of C. elegans, exhibits an unusual sodium permeability due to a unique cysteine residue in its selectivity filter. Our findings underscore the importance of functional studies to determine how sequence variation in potassium channel selectivity filters can shape the electrical profiles of excitable cells.

physiology↗

bioRxiv2023

Resident memory T cell precursors in tumor draining lymph nodes require type-1 IFN for optimal differentiation

Resident memory (Trm) cells play an essential role in anti-tumor immunity. However, little is known about the precursors that differentiate into protective Trm populations against cancer. Here we employed an established model of B16 melanoma neoadjuvant anti-CD4 therapy, to track tumor antigen-specific CD8+ T cells through tissues and across time; from their priming as effectors to their differentiation into Trm. We show that tumor-draining lymph nodes (TDLNs) contain Teff cells that begin to express canonical Trm markers CD103 and CD69. These tumor-specific Teff cells seeded skin and tumor during the effector phase of the response, although egress from these tissues was not required Trm development in LNs. Paired scRNAseq/scTCRseq was used to identify Teff clonotypes in TDLNs and trace their differentiation, in real-time, into Trm populations. We found that expanded clonotypes favored the Trm fate and were unlikely to co-differentiate into other lineages. Precursors of Trm (pre-Trm) clonotypes that subsequently seeded populations throughout tumors, LNs, and skin, were characterized by early expression of tissue residency, stemness, and type-1 IFN sensing genes. These multipotent pre-Trm cells sensed plasmacytoid dendritic cell-derived type-1 interferons in TDLNs, and their expression of interferon alpha receptor was required for their formation of Trm populations in LNs but not in skin. These findings reveal the defining features of pre-Trm cells in response to tumor antigens, and reveal a previously unappreciated role for type-1 IFNs in programming regional Trm immunity to cancer. One Sentence SummaryAnti-tumor effector CD8 T cells adopt early characteristics of tissue residency and stemness, and rely on the sensing of type-1 interferons for their local differentiation into resident memory T cells.

immunology↗