IBDverse

Mapping the transcriptomic cosmos of inflammatory bowel disease

Single-cell analysis of IBD tissues at a population scale

We generated the largest single-cell datasets of inflammatory bowel disease relevant samples, spanning millions of cells across the ileum, blood and rectum, from hundreds of individuals with and without inflammatory bowel disease. We were able to perform well-powered analyses comparing the effects of disease, location and genetics on cellular expression.

  • Transcriptomic consequences of ileal inflammation

    Comprehensive profiling of terminal ileum cell types, highlighting cell types present in the termninal ileum, key differences between inflamed  and uninflamed bowels and which cell types are enriched for dysruptive genetic variants.

    Krzak, Alegbe, Taylor, Jones et al.

    Read preprint

  • Blood and gut immune comparison

    Identification and quantification of the differences in immune cells between blood and gut samples from individuals with Crohn's disease. Several populations and processes are seen to be enriched in either tissue and blood.

    Ramirez-Navarro et al.

    Read preprint

  • sc-eQTLs to unlock GWAS

    Identification of eQTLs within single-cell resolved cell types from ileum, rectum and blood. Integrating these eQTLs with exist disease risk GWAS offers insight into the genes and cell types causally driving inflammatory bowel disease.

    Alegbe, Harris et al.

    Read preprint

  • Future studies

    Building on the foundations that this work has laid down we intend to take further steps to use single-cell RNA-sequencing approaches to better understand IBD biology. These include:

    IBDresponse
    OpenIBD
    Long-read sequencing IBDverse

For patients, friends and family

Get straightforward answers about our datasets, publications, and findings. Designed for those who have or know someone who has an inflammatory bowel disease such as Crohn's disease or ulcerative colitis.

What do these datasets mean for me?

Our datasets are available for researchers to download and use enabling others to perform research that can help find answers about inflammatory bowel diseases

What did you discover?

We have released three manuscripts detailing our findings for the wider scientific and medical community to read. These manuscripts are not written with the public in mind and can contain highly technical terminology so we have also written a short summary of these findings which can be found here.

Can I access my data?

All patient information is confidential so we cannot identify individuals to return data. The anonymised data is available to download on this page but will likely be difficult to interpret without appropriate bioinformatic training.

We do provide a means for patients to interact with physical representations constructed from visualisations of their data. These

Who paid for this project?

The project was funded by:

  • Crohn's and Colitis Foundation, a charity dedicated to supporting people with and funding research into inflammatory bowel diseases
  • The Wellcome Trust, a charity which supports many forms of biomedical research primarily in the UK and provides core funding for the Wellcome Sanger Institute
  • Open Targets, a collaboration between academia and pharmaceutical partners seeking to develop new treatments for inflammatory bowel diseases

Can I ask a member of the team about this work?

Yes. A contact email address for the authors of these studies is provided at the bottom of this page. Please note that these questions should only be related to this work rather than IBD in general.

How can I get help with my IBD?

We are primarily research scientists and cannot offer medical advice into the treatment of IBD. You should contact your doctor if you have issues with your disease.

Explore the IBDverse

Here we present the IBDverse data from each of our three papers in both an interactive and downloadable format, allowing IBD researchers the opportunity to conduct their own focused analyses.

  • Terminal ileum single-cell analyses in health and disease

    Single-cell RNA-sequencing data and results from 111 CD patients and 232 healthy controls

    Download results

    DGE: CD [inflamed] vs healthy
    DGE: CD [uninflamed] vs healthy
    DGE: CD [inflammation severity]
    DGE: Age
    DGE: Sex
    DGE: Organoid [stim.] vs organoid [unstim.]
    DGE: Organoid [CD unstim.] vs organoid [healthy unstim.]
    Heritability partitioning

    Explore data

    CellxGene browser (atlas anndata)

    Download data

    Atlasing anndata (70 samples)
    Analysis anndata (343 samples)
    Organoid anndata (14 samples)
    Individual metadata (343 individuals)

    Authors

    Research led by Monika Krzak, Tobi Alegbe, Leland Taylor and Gareth-Rhys Jones with contributions from a multidisciplinary team under the direction of senior investigators Carl Anderson and Tim Raine.

  • Paired immune cell profiling between the intestine and blood

    Comparison of immune cell populations between blood and terminal ileum from the 125 individuals with Crohn's disease.

    Download results

    DGE: Blood vs TI [available upon publication]
    DGE: Inflammation [available upon publication]

    Explore data

    CellxGene browser (atlas anndata) [available upon publication]

    Download data

    Atlas anndata [available upon publication]
    Analysis anndata [available upon publication]
    Individual metadata [available upon publication]

    Authors

    Research led by Lucia Ramirez-Navarro with contributions from a multidisciplinary team under the direction of senior investigators Tim Raine and Carl Anderson.

  • eQTL mapping across IBD-relevant tissues

    Joint single-cell eQTL analysis across terminal ileum, rectum, and blood in over 732 samples from 421 individuals.

    Download results

    TI eQTLs [available upon publication]
    Rectal eQTLs [available upon publication]
    Blood eQTLs [available upon publication]
    Cross-tissue eQTLs [available upon publication]
    Interaction eQTLs [available upon publication]
    IBD colocalisations [available upon publication]

    Explore data

    CellxGene browser (atlas anndata) [available upon publication]
    eQTL visualiser [available upon publication]

    Download data

    Atlas anndata [available upon publication]
    Analysis anndata [available upon publication]
    Genotype array data [available upon publication]
    Individual metadata [available upon publication]

    Authors

    Research led by Tobi Alegbe and Bradley Harris with contributions from a multidisciplinary team under the direction of senior investigators Carl Anderson and Tim Raine.

Core analysis team

Carl Anderson
Tim Raine
Bradley Harris
Cristina Cotobal-Martin
Gareth Rhys-Jones
Leland Taylor
Lucia Ramirez-Navarro
Monika Krzak
Rebecca McIntyre
Tobi Alegbe