Biology subjects

Hemberg, M.

Publications and source records attributed to Hemberg, M..

At least 19 recordsLinked to original sources

bioRxiv2026

scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomics

MotivationSingle-cell RNA sequencing (scRNA-seq) has become an attractive tool for studying complex diseases, in which transient cell states affecting diverse cell populations characterise disease development and progression. However, due to data sparsity and disease heterogeneity analysis is often challenging. With recent advances in machine learning, two widely used approaches have emerged for learning cellular representations: large-scale foundation models and biological knowledge-guided methods. Despite their complementary strengths, there is currently no unified workflow for systematically comparing and integrating these approaches. ResultsHere, we present scRepresenter, an open-source workflow for computing, integrating, and validating cellular embeddings derived from foundation models and biological knowledge-guided methods in the context of complex diseases. It consists of two components: a command-line workflow that computes cellular embeddings and performs downstream analyses, and an interactive Shiny application for visualizing and comparing the computed embeddings. scRepresenter supports four categories of cellular representations: (1) expression-based, (2) knowledge-guided, (3) foundation model-derived, and (4) hybrid embeddings that combine foundation model-derived representations with knowledge-guided representations. This approach takes a cell-by-gene count matrix as input and outputs an integrated object containing the computed embeddings. Then, this object can be uploaded into our interactive Shiny application to compare different embeddings. AvailabilityThe workflow is available at https://github.com/GuilhermePocas/scRepresenter ContactAL291@cam.ac.uk; MA2129@cam.ac.uk

bioinformatics↗

bioRxiv2026

NKG2C+CD27- Defines Human CD8+ Regulatory T Cells

Here we identify NKG2C+CD27- as a novel surface marker unifying multiple previously reported CD8+ regulatory T cell (Treg) populations. This population displays high clonality and divides into CD226- (Treg1) and CD226+ (Treg2) subsets, with Treg2 exhibiting stronger suppressive activities. Up to 35% of CD8+ TEMRA cells are Tregs, whereas approximately 85% of CD8+ Tregs are TEMRA cells, which increase with aging. These findings establish a unified and novel cell surface marker for CD8+ Tregs and their subsets, which resolves prior heterogeneity in the field, and show that CD8+ TEMRA cells are a heterogeneous population that includes T cells with regulatory function. Our findings provide a critical framework for the isolation and in-depth functional characterization of CD8+ Tregs in health, aging, and disease.

immunology↗

bioRxiv2026

Spatial navigation through evolution: a single-cell atlas of the mammalian entorhinal cortex

Spatial navigation is a fundamental mammalian ability, supported by the entorhinal cortex (EC), a structurally conserved yet functionally diverse region across mammalian species. However, how molecular signaling underlies both shared and species-specific navigational strategies remains unclear. Here, we present a cross-species single-cell atlas of the EC from human, Hamadryas baboon, mouse, and Egyptian fruit bat - species spanning distinct evolutionary lineages and navigational demands, including true 3D navigation in bats. Using this resource, we identify conserved principal neuron populations as well as species-specific innovations, including mixed-layer or functional identities and fruit bat-specific subtypes. GABAergic interneurons neurons show strong conservation of somatostatin (SST) and parvalbumin (PV) families, while VIP GABAergic neurons exhibit pronounced species-specific divergence, with an expanded repertoire in primates. Integration with whole-brain diffusion tensor imaging reveals conserved and species-specific connectivity between the EC, hippocampus, and sensory cortices. Major species-specific cellular innovations were further validated using orthogonal histological approaches, confirming their anatomical and laminar organization. Overall, this atlas provides a comparative framework available for the research community to dissect the molecular, cellular, and circuit principles underlying conserved and specialized spatial navigation across mammals.

neuroscience↗

bioRxiv2026

Glutamate transporter xCT is important for cGAS-dependent interferon responses to DNA and to HSV-1

Metabolic reprogramming is a key component of antiviral immunity, yet how metabolite transport regulates innate immune signaling remains incompletely understood. Here, we show that infection with herpes simplex virus 1 (HSV-1) and stimulation with cytosolic DNA induce the cellular export of glutamate via the xCT (SLC7A11) transporter and that inhibition of xCT reduces cellular resistance to viral replication. Mechanistically, xCT inhibition impaired cGAS-STING signaling by reducing DNA-induced cGAMP production, thereby diminishing type I interferon (IFN/{beta}) responses and downstream induction of interferon-stimulated genes. Interestingly, modulating intracellular glutamate levels through inhibition of other glutamate pathways, e.g., glutaminolysis or glutamate import, also affected cellular IFN responses, suggesting that glutamate is a central control knob for DNA sensing. Finally, we demonstrate that HSV-1 suppresses xCT expression via a mechanism dependent on the immediate early viral protein ICP27, thereby promoting viral replication by limiting cGAS-dependent IFN induction. Together, these findings identify xCT-dependent glutamate transport as a critical metabolic regulator of cGAS-STING-mediated antiviral immunity.

immunology↗

bioRxiv2026

SpatialQuery: scalable discovery and molecular characterization of multicellular motifs from spatial omics data

Spatially resolved single-cell technologies enable profiling of cells in situ, yet computational approaches that jointly discover multicellular spatial patterns and characterize their molecular programs remain limited. Here we introduce SpatialQuery, a framework that can both identify cellular motifs, i.e. recurrent multicellular co-localization patterns, and perform molecular analyses focused on the motifs. It uncovers genes modulated by spatial contexts through differential expression analysis, and detects coordinated expression changes through covariation analysis. SpatialQuery can identify functional tissue units, and goes beyond pairwise analyses to characterize multicellular interactions. Applications to both spatial transcriptomics and proteomics data uncover cross-germ-layer signaling in gut tube patterning, disease-specific fibrotic and immunosuppressive niches in kidney and colon, and regional determinants of motif-associated transcriptional programs in a mouse brain atlas. SpatialQuery is available as a Python package, and we demonstrate how its light computational footprint enables integration into web-based cell atlas portals for interactive visualization and exploration.

bioinformatics↗

bioRxiv2026

Integration of large, complex single-cell datasets with Harmony2

Integrating single cell RNA-seq profiles is posing new challenges as datasets are rapidly expanding, now with over 100 million cells in the public domain. We present the latest version of the Harmony integration software, which efficiently scales to >100M cells and >1K datasets without specialized hardware. Moreover, optimizations to the underlying algorithm help prevent overintegration in biologically heterogeneous datasets. Harmony2 enables efficient, accurate integration of large, complex single-cell atlases.

bioinformatics↗

bioRxiv2025

MAVS is Important for Antiviral Defense Against InfluenzaA Virus in a Human Respiratory Epithelium Model

The respiratory epithelium is an important immunological barrier and the first line of defense against influenza A virus. In mice and in various cellular systems, induction of type I interferons (IFN/{beta}) during IAV infections is known to depend on cytosolic RNA sensors RIG-I and MDA5 and on the adaptor molecule MAVS. Until now, it has not been possible to directly test the importance of MAVS for induction of IFNs and for resistance to IAV infection in primary human respiratory epithelium. Here, we used CRISPR-Cas9 to establish MAVS-deficient cultures of primary human respiratory epithelium using the air-liquid interphase culture system. Using this setup, we show that MAVS is indeed required for the induction of type I and type III IFNs and subsequently for the induction of IFN-stimulated genes in response to IAV infection in human primary respiratory epithelium. Finally, we demonstrate that MAVS is important for restricting viral replication in this model. In conclusion, we demonstrate that MAVS plays a non-redundant protective role during IAV infection in primary human respiratory epithelium.

immunology↗

bioRxiv2025

The Pdgfd-Pdgfrb axis orchestrates tumor-nerve crosstalk in pancreatic cancer

Nerves are an integral component of the tumor microenvironment, contributing to cancer progression, metastasis, morbidity, and mortality. In pancreatic ductal adenocarcinoma (PDAC), worse clinical outcomes are associated with perineural invasion (PNI), a process by which cancer cells surround and invade nerves. Here, we employed whole-transcriptome and single-cell spatial transcriptomics to identify candidate tumor-nerve interactions that promote PNI. We discovered that Pdgfd signaling promotes key features of nerve invasion. Mechanistically, Pdgfd stimulated cancer cell invasiveness, neurite outgrowth, and direct physical engagement with glia. Pharmacological blockade of this axis reduced each of these processes in vitro as well as PNI in vivo. Thus, Pdgfd-Pdgfrb signaling mediates PNI by coordinating multifaceted cancer-neuron-glia interactions and represents a promising therapeutic strategy aimed at disrupting harmful cancer-nerve crosstalk.

cancer biology↗

bioRxiv2025

Distinct malignant cell states and myeloid glutamate signaling associated with aggressive pancreatic neuroendocrine tumors

Pancreatic neuroendocrine tumors (PNET) are rare malignancies of the endocrine pancreas with diverse clinical outcomes. While some PNETs are indolent, others are aggressive and metastasize quickly. However, clinically-relevant molecular stratification for PNET to predict outcomes and guide therapeutic decision-making is limited. Thus, there is an urgent need to understand the molecular heterogeneity of PNETs to refine prognostication and discover novel therapeutic vulnerabilities. We performed single-nucleus RNA sequencing on resected primary and metastatic PNETs (n = 20), including two PNETs with neoadjuvant treatment. We inferred gene expression programs (GEPs) of malignant and non-malignant cells and investigated associations with clinical outcomes. Next, we inferred interactions in the tumor microenvironment (TME) and performed transwell assays for functional validation. Finally, we explored genomic and transcriptomic evolution in a unique case study of an untreated primary PNET with two asynchronous hepatic metastases. A malignant GEP enriched for neural/synaptic signaling genes was associated with worse overall survival, broad chromosomal loss of heterozygosity, and alternative lengthening of telomeres. Another malignant GEP enriched for VEGF signaling increased throughout metastatic progression in our case study. We found that macrophage-derived glutamate drives polarization towards an immunosuppressive phenotype and activates the MAPK/ERK pathway in malignant cells to increase migratory capacity. This study provides a detailed single-nucleus transcriptomic classification of malignant, stromal, and immune cell types and states in PNETs, their interactions in the TME, and associations with clinical outcomes. The refined molecular taxonomy of PNET may guide the development of more efficacious biomarkers and therapeutic strategies.

cancer biology↗

bioRxiv2025

TL1A-activated T cells remodel the rectal mucosa in Crohn's disease patients with perianal fistulizing disease

BackgroundPerianal fistulizing disease (PFD) is a complication that affects about 20% of Crohns disease (CD) patients whose etiology remains unknown. ObjectivesTo identify predisposing events driving fistula formation. DesignRectal biopsies from CD patients with or without PFD (CD+PFD and CD, respectively; n=31) were collected and subjected to single-cell RNA sequencing (scRNA-seq). Functional analyses were conducted using peripheral CD3+ T cells, intestinal tissue explants, primary fibroblasts and 2D-epithelial monolayer cell cultures. ResultsThe rectal mucosa of CD+PFD patients is imprinted with cellular and transcriptomic alterations specific to PFD and independent of luminal inflammation, potentially driven by TL1A activation in CD4+ T cells. We identified lymphotoxin beta (LTB or its functional heterotrimer LT1{beta}2) as a novel mediator downstream of TL1A that, along with IL-22, induces a PFD-associated signature in rectal fibroblast and epithelial cells, respectively. This signature includes an increased abundance of fibroblasts, an induction of matrix-degrading enzymes, transcriptomic rewiring of the lamina propria S1 fibroblasts, and an anti-bacterial and immune responses in epithelial cells. Notably, the induction of LT1{beta}2 and IL-22 occurs independently of TNF signaling, revealing a new TL1A-LT1{beta}2/IL-22 axis that remains active under anti-TNF therapy. ConclusionOur findings revealed unique cellular alterations in the rectum of CD patients with PFD, highlighting the previously unrecognized involvement of TL1A in mediating this signature and supporting the need for exploring the role of TL1A inhibition as a therapeutic approach for PFD.

immunology↗

bioRxiv2025

Landscape and mutational dynamics of G-quadruplexes in the complete human genome and in haplotypes of diverse ancestry

G-quadruplexes (G4s) are alternative DNA structures with diverse biological roles, but their examination in highly repetitive parts of the human genome has been hindered by the lack of reliable sequencing technologies. Recent long-read based genome assemblies have enabled their characterization in previously inaccessible parts of the human genome. Here, we examine the topography and genomic instability of potential G4-forming sequences in the gap-less, reference human genome assembly and in 88 haplotypes of diverse ancestry. We report that G4s are highly enriched in specific repetitive regions, including in certain centromeric and pericentromeric repeat types, and in ribosomal DNA arrays, and experimentally validate the most prevalent G4s detected. G4s tend to have lower methylation than expected throughout the human genome and are genomically unstable, showing an excess of all mutation types, including substitutions, insertions and deletions and most prominently structural variants. Finally, we show that G4s are consistently enriched at PRDM9 binding sites, a protein involved in meiotic recombination. Together, our findings establish G4s as dynamic and functionally significant elements of the human genome and highlight new avenues for investigating their contributions to human disease and evolution.

genomics↗

bioRxiv2025

scCausalVI disentangles single-cell perturbation responses with causality-aware generative model

Single-cell RNA sequencing provides detailed insights into cellular heterogeneity and responses to external stimuli. However, distinguishing inherent cellular variation from extrinsic effects induced by external stimuli remains a major analytical challenge. Here, we present scCausalVI, a causality-aware generative model designed to disentangle these sources of variation. scCausalVI decouples intrinsic cellular states from treatment effects through a deep structural causal network that explicitly models the causal mechanisms governing cell-state-specific responses to external perturbations while accounting for technical variations. Our model integrates structural causal modeling with cross-condition in silico prediction to infer gene expression profiles under hypothetical scenarios. Comprehensive benchmarking demonstrates that scCausalVI outperforms existing methods in disentangling causal relationships, quantifying treatment effects, generalizing to unseen cell types, and separating biological signals from technical variation in multi-source data integration. Applied to COVID-19 datasets, scCausalVI effectively identifies treatment-responsive populations and delineates molecular signatures of cellular susceptibility. Code availabilitySoftware is available at https://github.com/ShaokunAn/scCausalVI.

bioinformatics↗

bioRxiv2024

Tumor microenvironment distinctions between esophageal cancer subtypes explain varied immunotherapy responses

Esophageal cancer comprises two main subtypes: esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). Previous studies have revealed distinct genomic characteristics between these subtypes, with ESCC sharing similarities with head and neck squamous cell carcinoma (HNSCC), and EAC aligning with gastric adenocarcinoma (GAC). Additionally, recent immunotherapy clinical trials have shown a higher response rate in ESCC and HNSCC compared to EAC and GAC. However, how the tumor microenvironment contributes to these varied immunotherapy responses remains unclear. In this study, through a comparative analysis of single-cell tumor transcriptomes from 35 patients with ESCC, EAC, HNSCC, or GAC, we identified two groups with tumor microenvironment distinctions: ESCC and HNSCC versus EAC and GAC, consistent with their genomic classifications. Malignant epithelial cells displayed distinct separations based on histological origin. In the tumor immune microenvironment, we observed an enrichment of CXCL13+CD8+ T cells and CXCL9+CXCL10+ tumor-associated macrophages (TAMs) in ESCC and HNSCC, which activate cellular immunity through interferon-{gamma}. In contrast, EAC and GAC exhibited a high presence of heat-shock protein-expressing CD8+ T cells and MARCO+ TAMs. These immune signatures help explain the varied immunotherapy responses among these cancer subtypes and successfully predict immunotherapy outcomes across diverse cancer types, underscoring their clinical significance.

cancer biology↗

bioRxiv2024

ApoE ϵ4-dependent alteration of CXCR3+CD127+ CD4+ T cells is associated with elevated plasma neurofilament light chain in Alzheimer's disease

Recent findings indicate a correlation between the peripheral adaptive immune system and neuroinflammation in Alzheimers disease (AD). To characterize the composition of adaptive immune cells in the peripheral blood of AD patients, we utilized single-cell mass cytometry (CyTOF) to profile peripheral blood mononuclear cells (PBMCs). Concurrently, we assessed the concentration of proteins associated with AD and neuroinflammation in the plasma of the same subjects. We found that the abundance of proinflammatory CXCR3+CD127+ Type 1 T helper (Th1) cells in AD patients was negatively correlated with the abundance of neurofilament light chain (NfL) protein. This correlation is apolipoprotein E (ApoE) {varepsilon}4-dependent. Analyzing public single-cell RNA-sequencing (scRNA-seq) data, we found that, contrary to the scenario in the peripheral blood, the cell frequency of CXCR3+CD127+ Th1 cells in the cerebrospinal fluid (CSF) of AD patients was increased compared to healthy controls (HCs). Moreover, the proinflammatory capacity of CXCR3+CD127+ Th1 cells in the CSF of AD patients was further increased compared to HCs. These results reveal an association of a peripheral T-cell change with neuroinflammation in AD and suggest that dysregulation of peripheral adaptive immune responses, particularly involving CXCR3+CD127+ Th1 cells, may potentially be mediated by factors such as ApoE {varepsilon}4 genotype. One sentence summaryAn apolipoprotein E (ApoE) {varepsilon}4-dependent alteration of CD4 T cell subpopulation in peripheral blood is associated with neuroinflammation in patients with Alzheimers disease.

immunology↗

bioRxiv2024

A pangenomic perspective of the Lake Malawi cichlid radiation reveals extensive structural variation driven by transposable elements

The East African Rift Lakes, namely Lake Malawi, Victoria, and Tanganyika, host a remarkable diversity of cichlid fishes, representing one of natures most striking vertebrate radiations. Despite rich phenotypic diversity, single nucleotide polymorphism (SNP)-based sequencing studies have revealed little sequence divergence between cichlids, with 0.1 to 0.25% pairwise divergence within Lake Malawi. These studies were based on aligning short reads to a single linear reference genome, which ignores the contribution of larger scale structural variants (SVs). To complement existing SNP-based studies, we adopted a pangenomic approach by constructing a multiassembly graph of haplochromine cichlids in Lake Malawi. We produced six new long read genome assemblies, alongside two publicly available ones, to span most of the major eco-morphological clades in the lake. This approach not only identifies longer SVs, but also visually represents complex and nested variation. Strikingly, the SV landscape is dominated by large insertions, many exclusive to individual assemblies. From a pangenomic perspective, we observed an exceptional amount of extra sequence, totaling up to 33.1% additional bases with respect to a single cichlid genome. Approximately 4.73 to 9.86% of the cichlid assemblies were estimated to be interspecies structural variation, suggesting substantial genomic diversity underappreciated in previous SNP-based studies. While coding regions remain highly conserved, our analysis uncovers a significant contribution of SVs from transposable element (TE) insertions, especially DNA, LINE, and LTR transposons. These findings underscore the intricate interplay of evolutionary forces shaping cichlid genome diversity, including both small nucleotide mutations and large TE-derived sequence alterations.

evolutionary biology↗

bioRxiv2024

MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures

Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA recordings can also reveal microscale functional connectivity, topology, and network dynamics--patterns seen in brain networks across spatial scales. Network topology is frequently characterized in neuroimaging with graph theoretical metrics. However, few computational tools exist for analyzing microscale functional brain networks from MEA recordings. Here, we present a MATLAB MEA network analysis pipeline (MEA-NAP) for raw voltage time-series acquired from single- or multi-well MEAs. Applications to 3D human cerebral organoids or 2D human-derived or murine cultures reveal differences in network development, including topology, node cartography, and dimensionality. MEA-NAP incorporates multi-unit template-based spike detection, probabilistic thresholding for determining significant functional connections, and normalization techniques for comparing networks. MEA-NAP can identify network-level effects of pharmacologic perturbation and/or disease-causing mutations and, thus, can provide a translational platform for revealing mechanistic insights and screening new therapeutic approaches.

neuroscience↗

bioRxiv2023

Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

The most common cause of death due to COVID-19 remains respiratory failure. Yet, our understanding of the precise cellular and molecular changes underlying lung alveolar damage is limited. Here, we integrate single cell transcriptomic data of COVID-19 donor lungs with spatial transcriptomic data stratifying histopathological stages of diffuse alveolar damage (DAD). We identify changes in cellular composition across progressive DAD, including waves of molecularly distinct macrophages and depleted epithelial and endothelial populations throughout different types of tissue damage. Predicted markers of pathological states identify immunoregulatory signatures, including IFN-alpha and metallothionein signatures in early DAD, and fibrosis-related collagens in organised DAD. Furthermore, we predict a fibrinolytic shutdown via endothelial upregulation of SERPINE1/PAI-1. Cell-cell interaction analysis revealed macrophage-derived SPP1/osteopontin signalling as a key regulator during early DAD. These results provide the first comprehensive, spatially resolved atlas of DAD stages, highlighting the cellular mechanisms underlying pro-inflammatory and pro-fibrotic pathways across alveolar damage progression.

pathology↗

bioRxiv2023

Mining alternative splicing patterns in scRNA-seq data using scASfind

Single-cell RNA-seq is widely used for transcriptome profiling, but most analyses have focused on gene-level events, with much less attention devoted to alternative splicing. Here, we present scASfind, a novel computational method to allow for quantitative analysis of cell type-specific splicing events. scASfind utilizes an efficient data structure to store the percent spliced-in value for each splicing event. This makes it possible to exhaustively search for patterns among all differential splicing events, allowing us to identify marker events, mutually exclusive events, and large blocks of exons that are specific to one or more cell types. These methods allow researchers to compare cells based on isoforms rather than genes, thereby enabling more nuanced characterization of cell types and states. We demonstrate the advantages of scASfind on two mouse and one human datasets, identifying differences across the several key genes that cannot be detected using gene expression alone.

bioinformatics↗