No full text
Unpublished conference/Abstract (Scientific congresses and symposiums)
Single cell RNA sequencing to uncover intestinal cell-type specific cis-eQTL driving inherited predisposition to IBD
Tokunaga, Yumie; Wéry, Marie; Mayer, Alice et al.
2022Keystone symposia Single Cell Biology
 

Files


Full Text
No document available.
Annexes
Poster_Yumie_06042022v2 (1).pdf
(9.4 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] IBD is characterized by a chronic idiopathic inflammation of the gastrointestinal (GI) tract and consist of two main forms: ulcerative colitis and Crohn’s disease. The importance of genetic susceptibility has been well established through Genome Wide Association Studies (GWAS), which have identified over 200 risk loci for IBD. However, the « true causative » genes in these loci have been identified for only few on the basis of independently associated coding variants. Fine-mapping studies suggested that most risk variants cause “cis”-eQTL in disease relevant cell types, but recent post-GWAS studies could not find matching cis-eQTLs for the majority of risk loci (137/200). This indicates that the relevant cell types were either not present amongst the analyzed cell populations or under-represented. In this study, we performed cis-eQTL analysis with single cell RNA-seq of human gut biopsies to uncover the truly relevant cell types with higher resolution and unbiased approach. Biopsies were collected from three GI locations (ileum, transverse colon, rectum) from the same individuals. Cell suspensions were prepared, tagged by location and cell fraction using TotalseqB hashtag antibodies for multiplexing and processed to the 10X Genomics Chromium. Data were analyzed using Cellranger and Seurat to identify the cell clusters and marker genes. In total, 50 individuals’ biopsies data were integrated. Simultaneously, genotype was analyzed with Infinium OmniExpress-24v1 chip from 1 ml blood and imputed. Both scRNA-seq data and imputed genotypes were input to qtltools v1.3.1 for cis-eQTL anlaysis. Analysis are actually ongoing and will certainly generate new set of cell-based eQTL and determine whether some of these drive inherited predisposition to IBD by comparing the corresponding expression association patterns with disease association patterns using methods developed in our laboratory.
Disciplines :
Biotechnology
Author, co-author :
Tokunaga, Yumie  ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Wéry, Marie ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Mayer, Alice  ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques
Karim, Latifa ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Azarzar, Samira ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Demeulenaere, Loïc  ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Petrov, Viacheslav ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques
Deckers, Manon ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Detry, Emilie ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Coppieters, Wouter ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
LOUIS, Edouard  ;  Université de Liège - ULiège > GIGA > GIGA I3 - Translational gastroenterology
Georges, Michel  ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
Rahmouni, Souad  ;  Université de Liège - ULiège > GIGA > GIGA Medical Genomics - Unit of Animal Genomics
More authors (3 more) Less
Language :
English
Title :
Single cell RNA sequencing to uncover intestinal cell-type specific cis-eQTL driving inherited predisposition to IBD
Publication date :
09 April 2022
Event name :
Keystone symposia Single Cell Biology
Event place :
Florence, Italy
Event date :
from 5th of April to 10th of April
Audience :
International
Available on ORBi :
since 13 June 2022

Statistics


Number of views
205 (19 by ULiège)
Number of downloads
66 (7 by ULiège)

Bibliography


Similar publications



Contact ORBi