transcriptomics

Delineating the role of TREM2 in chronic pancreatitis

PROJECT SUMMARY Chronic pancreatitis (CP) is a progressive digestive disorder characterized by persistent inflammation, irreversible fibrosis, and acinar cell damage. However, current treatment options remain limited, underscoring the need for effective, targeted therapeutic strategies through a deeper understanding of the disease microenvironment. Macrophages are pivotal players in the CP microenvironment, exhibiting dual roles in inflammation and tissue remodeling. A defining feature of macrophages is their remarkable phenotypic plasticity, enabling them to transition between pro-inflammatory and anti-inflammatory phenotypes. However, the specific macrophage phenotypes contributing to the immune imbalance in CP and their precise mechanisms of action remain poorly understood. TREM2 (Triggering Receptor Expressed on Myeloid cells 2), a transmembrane receptor of the immunoglobulin superfamily, has emerged as a critical modulator of tissue damage responses in multiple disease settings, though its function in CP remains unexplored. Our preliminary single-cell RNA-seq analyses of human CP tissues reveal an enrichment of inflammatory macrophages alongside a marked downregulation of TREM2 compared to non-diseased controls. This reduction in TREM2 correlates with marked increases in pro-inflammatory mediators, such as IL-1β and NF-κB, suggesting that TREM2 in macrophages contributes to maintaining homeostasis and restraining inflammatory signaling. Accordingly, diminished TREM2 expression appears to skew macrophages toward a pathologically hyper-inflammatory state. We hypothesize that loss of TREM2 disrupts the delicate balance among immune cells, fibroblasts, and acinar cells, fueling a self-reinforcing cycle of inflammation and fibrosis that exacerbates pancreatitis. To test this hypothesis, our R01 will leverage integrative single-cell transcriptomics, spatially resolved imaging, transgenic mouse models, functional organoid co-culture assays, and in vivo experiments to elucidate TREM2’s regulatory mechanisms in CP. This research aims to address two key scientific questions: (1) How does TREM2 suppress pro-inflammatory macrophage phenotypes and restrain IL-1β-induced inflammatory signaling? (2) How does the crosstalk among pro-inflammatory macrophages, fibroblasts, and acinar cells exacerbate the local inflammatory environment, leading to further pancreatic damage? Through this study, we aim to establish TREM2 as a pivotal inhibitory checkpoint in the NF-κB/NLRP3/IL-1β axis, preventing unchecked macrophage-driven inflammation, fibroblast activation, and further acinar cell damage. Successful completion of this project will deepen our mechanistic understanding of CP and identify new therapeutic strategies to mitigate fibrotic progression and preserve pancreatic function. Ultimately, these insights may guide the development of immunomodulatory treatments to attenuate CP severity, thereby transforming the clinical management of this devastating disorder.

Linking Single-Cell Transcriptomic, Morphological, and Temporal Signatures of Vulnerability in Neurodegeneration

Neurodegeneration involves complex cellular phenotypes and molecular changes that vary widely among the cells of the nervous system. Current methodologies permit either detailed molecular profiling (e.g., single-cell transcriptomics) or functional phenotyping (e.g., live imaging of neuronal activity), but not both in the same cells. Thus, it is difficult to directly link a neuron's functional state or fate with its gene expression profile. To address this limitation, we developed an innovative technology, VISTA-FISH (Video Imaging with Spatial- Temporal Analysis by FISH), that couples prospective live-cell imaging with high-resolution spatial transcriptomic profiling of the same cells. This approach enables in situ comparisons of gene expression in neurons that exhibit divergent behaviors or outcomes. Using VISTA-FISH, we will profile iPS-derived human neurons to link single-cell gene expression, morphology, and temporal phenotypes to study molecular pathways driving resilience as well as susceptibility. After exposing neurons carrying TDP43 and C9orf72 mutations to a stimulus inducing TDP43 aggregation, we will jointly record TDP43 localization and neuron activity using live-cell microscopy, then measure single-cell gene expression of the same cells (Aim 1). We will also combine live-cell measurements of TDP43 half-life with CRISPR screening and single-cell gene expression (Aim 2). These rich datasets will enable us to determine transcriptomic changes associated with differences in protein aggregation, protein synthesis, and protein degradation in individual cells, providing an unprecedented molecular perspective on factors responsible for vulnerability and resilience to neurodegeneration.

Tbx4-Driven Pulmonary Hypertension: Mechanisms and Therapeutic Targets

Project Summary: Heterozygous rare variants in TBX4 are the second most common cause of heritable pulmonary arterial hypertension (PAH). Presentation of this form is commonly in children. Patients with mutations in TBX4 generally have alveolar simplification or hypoplasia in addition to elevated pulmonary vascular resistance. We have developed a set of three tools to help determine the molecular etiology of TBX4-induced PAH; (1) we identified the direct binding targets using a combination of ChIP-seq and RNA-seq; (2) we developed a mouse model with Tbx4 knockout after birth, that substantially phenocopies human disease; (3) we performed single-cell RNA-seq on these mice. By combining these three tools, we can develop a complete model for how loss of a transcription factor leads to the molecular and physiologic changes we see in our mice. The phenotype in mice appears to be dominated by defects in pericytes, resulting in impaired angiogenesis. Pericytes, which strongly express Tbx4, are cells located on the outside of capillaries and precapillary arterioles, and can either stabilize vessels (mesh pericytes), or drive angiogenesis (angiogenic pericytes). The pericytes in Tbx4 mutant mice are heavily skewed towards mesh and away from the angiogenic phenotype. Loss of Tbx4 results in derepression of Tbx4 binding target Rgs5 (10x induction), which directly results in inhibition of Pi3K, and the phenotypic switch in pericytes. We will test this hypothesis through pericyte-specific Tbx4 knockout (Aim 1) and pharmacologic induction of Pi3K in vivo in prevention and rescue models, as well as by siRNA to Rgs5 in precision-cut lung slices from Tbx4 KO mice (Aim 3). We will also test the role of Tbx4 in fibroblasts and smooth muscle using cell-specific knockouts – based on our mouse and single cell data, we expect they contribute somewhat, but primarily through increased stiffness (Aim 2). Finally, we will confirm relevance to human disease through spatial transcriptomics in lung sections explanted from patients with TBX4 mutation or rearrangement (Aim 1), and through determining whether defects in human patient iPSC-derived pericytes can be corrected through Rgs5 or Pi3K interventions (Aim 3). In combination, these aims determine the cellular and molecular mechanisms leading from mutation to physiology with loss of TBX4, and establish therapeutic targets.

Personalized Spatial Regulatory Networks to Decode Breast Cancer Microenvironments

PROJECT SUMMARY Triple-negative breast cancer (TNBC) is an aggressive subtype with early recurrence, high metastatic burden, and limited treatment options. While genomic alterations contribute to its progression, epigenetic plasticity and spatial organization within the tumor microenvironment (TME) play critical roles in intra-tumor heterogeneity, immune evasion, and therapy resistance, yet remain poorly understood. To address this, we will develop a cost- effective and scalable methodology that integrates spatial ATAC-seq, spatial in situ transcriptomics (Xenium), and single-nucleus (sn) Epi Multiome sequencing (snRNA-seq + snATAC-seq) from core-needle biopsies, enabling high-resolution mapping of gene regulatory networks within the intact TME. Our preliminary data from six TNBC biopsies demonstrate that spatial in situ transcriptomics and spatial ATAC-seq provide critical insights into tissue architecture but suffer from data sparsity, necessitating the integration of single-nucleus Epi Multiome data to enhance cell-type annotation and impute missing genomic features. In Aim 1, we will establish a multi- modal workflow that maximizes molecular insights from limited biopsy material by optimizing tissue-preserving and multiplexed sequencing approaches. This includes leveraging patient-specific genetic variation to deconvolute nuclei-derived data and linking it to spatial transcriptomic and spatial chromatin accessibility profiles. In Aim 2, we will develop a computational framework to integrate these multi-layered datasets, enabling spatially resolved epigenomic-transcriptomic analysis that identifies key regulatory chromatin elements and transcriptional programs associated with TNBC progression, immune infiltration, and therapy resistance. This project will generate the first comprehensive, patient-specific spatial regulatory atlas of TNBC, providing fundamental insights into how chromatin accessibility and gene expression interact within the TME. Ultimately, this work will pave the way for novel precision oncology strategies, biomarker discovery, and the development of targeted therapies that address TNBC’s spatial and molecular heterogeneity.

Circulating and Mucosal Predictors and Effects of Therapeutic Interleukin-23 Blockade in Crohn's Disease

PROJECT SUMMARY/ABSTRACT Since its discovery 20 years ago, the cytokine interleukin (IL)-23 has increasingly been implicated in the pathogenesis of immune mediated diseases, such as Crohn’s disease (CD). Consequently, four monoclonal antibodies that block IL-23 are currently approved CD therapies, including risankizumab. Although suppression of pathogenic Th17 cells has been widely cited as the mechanism by which IL-23 blockade controls disease, there is a paucity of data to indicate that this is how such therapy works, and a few other immune cell populations expressing the IL-23 receptor could instead be its target. We therefore propose to study how risankizumab affects not only Th17 cells, but also mucosa-associate invariant T (MAIT) cells γδ T cells and (in the colon) type 3 innate lymphoid cells (ILC3s). In addition to quantifying these cells, we will study their gene expression to detect phenotypic differences in treated patients, and in the case of T cells, track their clonal expansion and deletion through their unique T cell receptor sequences. In colon samples, we will use a combination of single cell sequencing of sort-enriched immune cell populations and spatial transcriptomics to characterize cells in situ, at the site of disease, and determine how IL-23 blockade affects their microenvironment in vivo. By contrasting results in patients who do or do not respond therapeutically to IL-23 blockade, we will reveal valuable insights into how this treatment succeeds or fails in CD, in the process identifying predictive biomarkers to guide treatment decisions, and potentially identifying future molecular targets with which to prevent treatment failure.

Structure-function and mechanistic studies of a specific glycosyltransferase complex in fusion-driven pediatric gliomas

Abstract Glycosylation is a co/post-translational modification involved in cell-matrix interactions, antigen-antibody interactions, tumor invasion, and cell motility. Abnormal glycosylation is a hallmark of cancer, with various glycosylation-related genes linked to glioma prognosis and tumor heterogeneity. Pediatric low-grade gliomas (pLGGs) stand as the most common childhood central nervous system tumor, accounting for 30%-40% of all CNS tumors in children. Despite its relatively low mortality rate, pLGGs are associated with devastating lifelong morbidity. The most common alteration found in 75% of tumors is the KIAA1549:BRAF fusion, causing an aberrant activation of the MAPK/ERK signaling pathway. Current treatments, such as traditional chemotherapies and targeted therapies, have limitations such as resistance, lack of specificity, toxicity and paradoxical activation of the MAPK pathway. This highlights the urgent need for novel therapeutic approaches. Investigations into KIAA1549:BRAF-driven pLGGs identified their dependency on the protein-O-mannosyl transferase (POMT) complex for survival. In contrast, BRAFV600E-mutant cells did not show dependency, suggesting the POMT complex as a vulnerability and promising target in KIAA1549:BRAF-driven pLGGs. Therefore, our goal is to characterize the POMT complex structurally and biochemically and study its roles in KIAA1549:BRAF-driven pLGGs. In this proposal, we aim to 1) determine the high-resolution structures of the complex in its unbound, substrate-bound, and inhibitor-bound forms and 2) elucidate the POMT complex mechanisms in KIAA1549:BRAF-driven pLGGs. We will define the critical functional domains, active sites, interaction interfaces and translational modifications crucial for enzymatic activity using cryo-EM techniques, mutagenesis, and functional studies. To study biological pathways and molecular events modulated by the POMT complex, we will implement global proteomics and transcriptomics analysis in well-characterized disease models. In parallel, we will assess the effect of the POMT complex on the MAPK/ERK signaling pathway. This study will guide the structure-based design of probes and drugs targeting the POMT complex and will unveil glycosylation-mediated oncogenesis in pediatric gliomas. It will aid in the development of new targeted therapies and the identification of new biomarkers for pLGGs harboring the KIAA1549:BRAF fusion. The research will be conducted in the Fischer lab at Dana-Farber Cancer Institute, which provides a collaborative and resource-rich environment. The career development plan includes training in scientific writing, mentoring, and presentation skills, as well as interdisciplinary networking with experts in structural biology and pediatric oncology. The candidate’s career goal is to establish an independent research laboratory focused on developing new therapeutic modalities for pediatric neurooncology. The training provided through this fellowship represents a critical step toward achieving this goal.

Host-pathogen-microbiome interactions in Mycoplasma genitalium pathology and treatment: experiments in a 3D organotypic cervical epithelium model to strengthen clinical guidelines

ABSTRACT Mycoplasma genitalium (MG) is an emerging sexually transmitted pathogen whose clinical outcomes in women are poorly understood. Unlike other bacterial sexually transmitted infections (STI), the CDC does not recommend MG screening for asymptomatic women because it is unclear how often asymptomatic MG leads to adverse reproductive outcomes like cervicitis, which can lead to further adverse outcomes, including pelvic inflammatory disease, infertility, and ectopic pregnancy. Epidemiologic data on MG and cervicitis are mixed, and mechanistic data primarily come from models that did not faithfully recapitulate in vivo cervical microphysiological conditions. Key elements they lacked are cervical mucus, which mediates host-pathogen interactions, and the cervicovaginal microbiota. The microbiota appears to contribute to MG outcomes, and our preliminary epidemiologic data indicate that MG and bacterial vaginosis (BV) may synergize to promote cervicitis. MG care is further complicated by its ongoing rise in antibiotic resistance. Resistance-guided therapy and novel antibiotics improve treatment outcomes, but these are not available in the US. Recent clinical and in vitro data indicate that metronidazole and tinidazole, two antibiotics that are available in the US and used to treat BV, may hold promise for improving MG treatment outcomes. The overall objective of this R21 is to generate robust experimental data to clarify MG pathology, evaluate potential therapies, and inform more thorough and actionable clinical recommendations. We developed an innovative in vitro 3D organotypic model of the cervical epithelium that is ideally suited for investigating MG pathology, host-MG-microbiota interactions, and potential therapies. The model uses primary human cervical cells and better recapitulates cervical epithelial structure and physiology (including cervical mucus production) than prior 2D models. It also allows for simultaneous STI infection and co- culture of live cervicovaginal microbiota. Using the 3D organotypic cervical epithelium model, we will determine if MG causes microbiota-dependent cervical epithelial damage, a hallmark of cervicitis (Aim 1), and we will test if metronidazole and tinidazole arrest MG infection (Aim 2). In both Aims, we will interrogate the potential mediating role of the microbiota by inoculating models with live representative cervicovaginal microbiota, and we will assess host-MG-microbiota interactions via transcriptomics. We hypothesize that a polymicrobial BV-like microbiota will exacerbate MG-induced cervical epithelial damage, and removal of a polymicrobial BV microbiota will partially mediate metronidazole’s and tinidazole’s anti-MG activity. The proposed Aims have high translational potential and will provide crucial pre-clinical evidence to inform more thorough and actionable MG testing and treatment guidelines and improve reproductive health outcomes. This R21 will generate some of the first experimental data on MG-host and MG-microbiota interactions, which we will use to support an R01 to validate these interactions during in vivo MG infection and identify novel therapeutic targets for MG.

Spike train structure of cortical transcriptomic populations in vivo

The cortex comprises many neuronal types, which can be distinguished by their transcriptomes: the sets of genes they express. Little is known about the in vivo activity of these cell types, particularly as regards the structure of their spike trains, which might provide clues to cortical circuit function. To address this question, we used Neuropixels electrodes to record layer 5 excitatory populations in mouse V1, then transcriptomically identified the recorded cell types. To do so, we performed a subsequent recording of the same cells using 2-photon (2p) calcium imaging, identifying neurons between the two recording modalities by fingerprinting their responses to a “zebra noise” stimulus and estimating the path of the electrode through the 2p stack with a probabilistic method. We then cut brain slices and performed in situ transcriptomics to localize ~300 genes using coppaFISH3d, a new open source method, and aligned the transcriptomic data to the 2p stack. Analysis of the data is ongoing, and suggests substantial differences in spike time coordination between ET and IT neurons, as well as between transcriptomic subtypes of both these excitatory types.

Rejuvenating the Alzheimer’s brain: Challenges & Opportunities

Comparative transcriptomics of retinal cell types

Cell-type specific genomics and transcriptomics of HIV in the brain

Exploration of genome organization and function in the HIV infected brain is critical to aid in the understanding and development of treatments for HIV-associated neurocognitive disorder (HAND). Here, we applied a multiomic approach, including single nuclei transcriptomics, cell-type specific Hi-C 3D genome mapping, and viral integration site sequencing (IS-seq) to frontal lobe tissue from HIV-infected individuals with encephalitis (HIVE) and without encephalitis (HIV+). We observed reorganization of open/repressive (A/B) compartment structures in HIVE microglia encompassing 6.4% of the genome with enrichment for regions containing interferon (IFN) pathway genes. 3D genome remodeling was associated with transcriptomic reprogramming, including down-regulation of cell adhesion and synapse-related functions and robust activation of IFN signaling and cell migratory pathways, and was recapitulated by IFN-g stimulation of cultured microglial cells. Microglia from HIV+ brains showed, to a lesser extent, similar transcriptional alterations. IS-seq recovered 1,221 integration sites in the brain that were enriched for chromosomal domains newly mobilized into a permissive chromatin environment in HIVE microglia. Viral transcription, which was detected in 0.003% of all nuclei in HIVE brain, occurred in a subset of highly activated microglia that drove differential expression in HIVE. Thus, we observed a dynamic interrelationship of interferon-associated 3D genome and transcriptome remodeling with HIV integration and transcription in the brain.

A transcriptomic axis predicts state modulation of cortical interneurons

Transcriptomics has revealed that cortical inhibitory neurons exhibit a great diversity of fine molecular subtypes, but it is not known whether these subtypes have correspondingly diverse activity patterns in the living brain. We show that inhibitory subtypes in primary visual cortex (V1) have diverse correlates with brain state, but that this diversity is organized by a single factor: position along their main axis of transcriptomic variation. We combined in vivo 2-photon calcium imaging of mouse V1 with a novel transcriptomic method to identify mRNAs for 72 selected genes in ex vivo slices. We classified inhibitory neurons imaged in layers 1-3 into a three-level hierarchy of 5 Subclasses, 11 Types, and 35 Subtypes using previously-defined transcriptomic clusters. Responses to visual stimuli differed significantly only across Subclasses, suppressing cells in the Sncg Subclass while driving cells in the other Subclasses. Modulation by brain state differed at all hierarchical levels but could be largely predicted from the first transcriptomic principal component, which also predicted correlations with simultaneously recorded cells. Inhibitory Subtypes that fired more in resting, oscillatory brain states have less axon in layer 1, narrower spikes, lower input resistance and weaker adaptation as determined in vitro and express more inhibitory cholinergic receptors. Subtypes firing more during arousal had the opposite properties. Thus, a simple principle may largely explain how diverse inhibitory V1 Subtypes shape state-dependent cortical processing.

Brain and behavioural impacts of early life adversity

Abuse, neglect, and other forms of uncontrollable stress during childhood and early adolescence can lead to adverse outcomes later in life, including especially perturbations in the regulation of mood and emotional states, and specifically anxiety disorders and depression. However, stress experiences vary from one individual to the next, meaning that causal relationships and mechanistic accounts are often difficult to establish in humans. This interdisciplinary talk considers the value of research in experimental animals where stressor experiences can be tightly controlled and detailed investigations of molecular, cellular, and circuit-level mechanisms can be carried out. The talk will focus on the widely used repeated maternal separation procedure in rats where rat offspring are repeatedly separated from maternal care during early postnatal life. This early life stress has remarkably persistent effects on behaviour with a general recognition that maternally-deprived animals are susceptible to depressive-like phenotypes. The validity of this conclusion will be critically appraised with convergent insights from a recent longitudinal study in maternally separated rats involving translational brain imaging, transcriptomics, and behavioural assessment.

What transcriptomics tells us about retinal development, disease and evolution

Classification of neurons, long viewed as a fairly boring enterprise, has emerged as a major bottleneck in analysis of neural circuits. High throughput single cell RNA-seq has provided a new way to improve the situation. We initially applied this method to mouse retina, showing that its five neuronal classes (photoreceptors, three groups of interneurons, and retinal ganglion cells) can be divided into 130 discrete types. We then applied the method to other species including human, macaque, zebrafish and chick. With the atlases in hand, we are now using them to address questions about how retinal cell types diversify, how they differ in their responses to injury and disease, and the extent to which cell classes and types are conserved among vertebrates.

Dorothy J Killam Lecture: Cell Type Classification and Circuit Mapping in the Mouse Brain

To understand the function of the brain and how its dysfunction leads to brain diseases, it is essential to have a deep understanding of the cell type composition of the brain, how the cell types are connected with each other and what their roles are in circuit function. At the Allen Institute, we have built multiple platforms, including single-cell transcriptomics, single and multi-patching electrophysiology, 3D reconstruction of neuronal morphology, high throughput brain-wide connectivity mapping, and large-scale neuronal activity imaging, to characterize the transcriptomic, physiological, morphological, and connectional properties of different types of neurons in a standardized way, towards a taxonomy of cell types and a description of their wiring diagram for the mouse brain, with a focus on the visual cortico-thalamic system. Building such knowledge base lays the foundation towards the understanding of the computational mechanisms of brain circuit function.

Novel Tools for Spatial and Temporal Genomics

The precise spatial localization of molecular signals within tissues richly informs the mechanisms of tissue formation and function. Here, we’ll introduce Slide-seq, a technology which enables transcriptome-wide measurements with near-single cell spatial resolution. We’ll describe recent experimental and computational advances to enable Slide-seq in biological contexts in biological contexts where high detection sensitivity is important. More broadly, we’ll discuss the promise and challenges of spatial transcriptomics for tissue genomics. Lastly, we’ll touch upon novel molecular recording technologies, which allows recording of the absolute time dynamics of gene expression in live systems into DNA sequences.

Microglia function and dysfunction in Alzheimer’s disease

Emerging genetic studies of late-onset Alzheimer’s Disease implicate the brain’s resident macrophages in the pathogenesis of AD. More than half the risk genes associated with late-onset AD are selectively expressed in microglia and peripheral myeloid cells; yet we know little about the underlying biology or how myeloid cells contribute to AD pathogenesis. Using single-cell RNA sequencing and spatial transcriptomics we identified molecular signatures that can be used to localize and monitor distinct microglia functional states in the human and mouse brain. Our results show that microglia assume diverse functional states in development, aging and injury, including populations corresponding to known microglial functions including proliferation, migration, inflammation, and synaptic phagocytosis. We identified several innate immune pathways by which microglia recognize and prune synapses during development and in models of Alzheimer’s disease, including the classical complement cascade. Illuminating the mechanisms by which developing synaptic circuits are sculpted is providing important insight on understanding how to protect synapses in Alzheimer’s and other neurodegenerative diseases of synaptic dysfunction.

Neurobiology of Social Behavior

Social interactions are central to the human experience, yet it is also one of the faculty of the brain that is the most impaired by mental illness. Similarly, social interactions are essential for animals to survive, reproduce, and raise their young. Over the years, my lab has attempted to decipher the unique characteristics of social recognition: what are the unique cues that trigger distinct social behaviors, what is the nature and identity of social behavior circuits, how is the function of these circuits different in males and females and how are they modulated by the animal physiological status? In this lecture, I will describe our recent progress in using genetic, imaging, molecular and behavioral approaches to understand how the brain controls specific social behaviors in both males and females, and how areas throughout the brain participate in the positive and negative controls of specific social interactions. I will also describe how new approaches of single cell transcriptomics have enabled us to uncover specific cell populations involved in distinct social behaviors and the basis of their activity modulation according to the animal state.

The Fabric of the Neocortex

Toward a Comprehensive Classification of Mouse Retinal Ganglion Cells: Morphology, Function, Gene Expression, and Central Projections

I will introduce a web portal for the retinal neuroscience community to explore the catalog of mouse retinal ganglion cell (RGC) types, including data on light responses, correspondences with morphological types in EyeWire, and gene expression data from single-cell transcriptomics. Our current classification includes 43 types, accounting for 90% of the cells in EyeWire. Many of these cell types have new stories to tell, and I will cover two of them that represent opposite ends of the spectrum of levels of analysis in my lab. First, I will introduce the “Bursty Suppressed-by-Contrast” RGC and show how its intrinsic properties rather than its synaptic inputs differentiate its function from that of a different well-known RGC type. Second, I will present the histogram of cell types that project to the Olivary Pretectal Nucleus, focusing on the recently discovered M6 ipRGC.

The evolutionary origins of cortical cell types

In the last 500 million years, the dorsal telencephalon changed like no other region of the vertebrate brain. Differences range from the six-layered neocortex of mammals, to the small three-layered cortex of reptiles, and the complete absence of lamination in birds. These anatomical differences have prompted endless discussions on the origins and evolution of the cerebral cortex. We have approached this problem from a cell type and transcriptomics perspective. This reveals a more granular picture, where different cell types and classes have followed independent trajectories of evolutionary change. In this presentation, I will discuss how the molecular analysis of cell types in the brains of turtles, lizards and amphibians is updating our views on the evolution of the cerebral cortex, and the new questions emerging from these results.

Identification of defects of human cortical neuron development using single cell transcriptomics

Impact of PD in Caudate & Putamen using single-cell transcriptomics: special focus on Oligodendrocytes and OPCs

Single nucleus and spatial transcriptomics of human hippocampus from people with major depression and controls

Tracing Glia-into-Neuron Conversion in the Aged Mouse Brain using Single Cell Spatial Transcriptomics

Transcriptomics Analysis for the PRISMO Study: Expression Profiles in Susceptible Versus Resilient Individuals in a Prospective PTSD Cohort

BrainTrawler Lite: Navigating through a multi-scale multi-modal gene transcriptomics data resource through a lightweight user interface

FENS Forum 2024

Combined bulk transcriptomics reveals a neurodevelopmental signature in the Alzheimer’s disease postmortem brain

FENS Forum 2024

Neuronal taxonomy of the human dorsal striatum by single nuclei transcriptomics

FENS Forum 2024

Spatial transcriptomics-correlated electron microscopy integrates transcriptional and ultrastructural responses to brain injury

FENS Forum 2024

Spatial transcriptomics reveals common pathways in Alzheimer's disease and Down syndrome

FENS Forum 2024

Spatially resolved transcriptomics of newborn human prefrontal cortex

FENS Forum 2024

Unveiling molecular signatures in resilience following child abuse: Noradrenergic cells transcriptomics in human post-mortem tissues

FENS Forum 2024