Project

MultiRET: Multiomics profiling of human retina in health and retinopathies

Code
bof/baf/2y/2024/01/007
Looptijd
01-01-2024 → 31-12-2024
Financiering
Regional and community funding: Special Research Fund
Onderzoeksdisciplines
  • Medical and health sciences
    • Analysis of next-generation sequence data
    • Bioinformatics data integration and network biology
    • Bioinformatics of disease
    • Computational transcriptomics and epigenomics
    • Single-cell data analysis
    • Developmental biology
    • Epigenetics
    • Genetics
    • Stem cell biology
    • Ophthalmology
Trefwoorden
Retina Reguloom Capture-C Single-molecule technologieen Topologisch geassocieerd domein (TAD) Long-read sequencing Optical genome mapping Hi-C Structurele varianten Retinaal pigment epitheel Niet-coderende variatie Pore-C 3D genoom
 
Projectomschrijving

The non-coding genome or ‘dark matter’ makes up 98% of the human genome. While a vast majority of single nucleotide (SNVs) or structural variants (SVs) associated with complex eye diseases are present in non-coding regions, the number increases for Mendelian eye diseases such as inherited retinal diseases (IRD). We will advance the understanding of the retinal regulome and of non-coding variation in IRD using innovative single-molecule -omics approaches.

Characterization of multi-way 3D genomic interactions on human retina

  1. Pore-C on clinically accessible tissues (PBMCs/LCLs/ fibroblasts)
  2. Pore-C on retinal (stem cell) models: donor retina, RPE, PPCs/ROs (different stages)
  3. Pore-C at cell-type level of donor retina, ROs

Assessment of the impact of SVs using patient-derived data/retinal models

  1. Identification of SVs in short-read WGS data
  2. Characterization of complex SVs using single-molecule technologies (OGM, ONT, PacBio)
  3. Assessment of the impact of SVs using 3D genome topology (Pore-C)