Dissecting the context-specificity of genetic immune regulation in plasmacytoid dendritic cells
The project aims to uncover the genetic regulation and functional diversity of plasmacytoid dendritic cells to explain variability in antiviral responses and autoimmune diseases across diverse populations.
Projectdetails
Introduction
Antiviral immunity and autoimmune diseases exhibit high interindividual variability. Despite intensive research, the genetic and molecular basis of this variability is incompletely understood. A key player of the immune system is the plasmacytoid dendritic cell (pDC). Recent single-cell work revealed functionally distinct pDC subsets. Considering that pDCs respond to many pathogens, this highlights a previously underappreciated functional diversity of pDCs.
Hypothesis
I hypothesize that the genetic regulation of pDCs plays a fundamental role in explaining antiviral response and autoimmune variability. Based on my previous work on immune cells, this genetic regulation is expected to be highly context-specific depending on:
- Cell type
- Cell response
- Ancestry populations
- Sex
- Other factors
Goals
The overarching goal of this proposal is to elucidate the context-specificity of immune response and its genetic regulation in pDCs to improve our understanding of human antiviral response variation and pinpoint undiscovered disease pathways of autoimmune diseases.
Methodology
To this end, I will generate population-scale, linked scATAC-, sc3’RNA- and scLong-read cDNA-seq data of baseline and TLR7-stimulated pDCs from healthy individuals across three ancestry populations.
I will identify novel pDC subtypes and their immune-regulatory circuits by integrated multiome analyses. Molecular quantitative trait loci (QTLs) and their degree of context-specificity will be used to build prediction models of genetically determined immune responsiveness and decode autoimmune disease loci to develop mechanistically anchored interventions for precision medicine.
Impact
ImmGenDC will gain fundamental insights into the variability of antiviral immune response that will enable the development of new treatments as exemplified by the current pandemic. Importantly, ImmGenDC will also identify genetic determinants of immune variability across diverse ancestry populations, thus paving the way for equitable access to medicine.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.235 |
Totale projectbegroting | € 1.499.235 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHENpenvoerder
- HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
- KLINIKUM DER LUDWIG-MAXIMILIANS-UNIVERSITAT MUNCHEN
Land(en)
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Conventional Dendritic Cells – Ecology, Diversity, and Function
The project aims to explore the diverse roles of conventional dendritic cell subsets in T cell activation during different immune responses to enhance cancer therapies and vaccine efficacy.
Deciphering Antigen-Specific Circuits Orchestrating Tolerance.
This project aims to uncover the cellular interactions governing peripheral regulatory T cell responses to gut microbes, enhancing understanding of tolerance mechanisms for treating inflammation-related conditions.
X-chromosome biology and immune health in females
XX-Health aims to uncover the role of X-inactivation escape genes in T-cell responses and sex differences in autoimmune disease risk using a novel TriX-Seq methodology in a large female cohort.
Tracking adaptation of naïve T cells to distinct organs to decode organ-specific immune diseases
This project investigates how organ-adapted naïve CD4+ T cells contribute to organ-specific immune-mediated inflammatory diseases triggered by environmental factors, aiming to enhance precision medicine approaches.
Understanding the functional role of Immune-related Intercellular Signalling Networks during tissue Development and Cancer
This project aims to uncover immune-related intercellular crosstalk in tissue development and cancer using single-cell RNA-sequencing and functional assays to identify novel therapeutic targets.