HCA Data Explorer

The landscape of immune dysregulation in Crohn's disease revealed through single-cell transcriptomic profiling in the ileum and colon

Updated May 11, 2023

Crohn's disease (CD) is a chronic gastrointestinal disease that is increasing in prevalence worldwide. CD is multifactorial, involving the complex interplay of genetic, immune, and environmental factors, necessitating a system-level understanding of its etiology. To characterize cell-type-specific transcriptional heterogeneity in active CD, we profiled 720,633 cells from the terminal ileum and colon of 71 donors with varying inflammation status. Our integrated datasets revealed organ- and compartment-specific responses to acute and chronic inflammation; most immune changes were in cell composition, whereas transcriptional changes dominated among epithelial and stromal cells. These changes correlated with endoscopic inflammation, but small and large intestines exhibited distinct responses, which were particularly apparent when focusing on IBD risk genes. Finally, we mapped markers of disease-associated myofibroblast activation and identified CHMP1A, TBX3, and RNF168 as regulators of fibrotic complications. Altogether, our results provide a roadmap for understanding cell-type- and organ-specific differences in CD and potential directions for therapeutic development.

Ramnik J XavierBroad Institute of MIT and Harvard, Cambridge, MAxavier@molbio.mgh.harvard.edu
Lingjia Kong1
Vladislav Pokatayev2
Ariel Lefkovith3
Grace T Carter3
Elizabeth A Creasey4
Chirag Krishna3
Sathish Subramanian5
Bharati Kochar6
Orr Ashenberg3
Helena Lau3
Ashwin N Ananthakrishnan6
Daniel B Graham1
Jacques Deguine3
Ramnik J Xavier7
1Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
2Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
3Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
4Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
5Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
6Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA.
7Broad Institute of MIT and Harvard, Cambridge, MA
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/cae461de-ecbd-482f-a5d4-11d607fc12ba

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://singlecell.broadinstitute.org/single_cell/study/SCP1884/human-cd-atlas-study-between-colon-and-terminal-ileum
None

Atlas

None

Analysis Portals

CZ CELLxGENECZ CELLxGENE

Project Label

Landscape-ileum-colon

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

3 anatomical entities

Organ Part

5 organ parts

Selected Cell Types

3 cell types

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

3 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1, analysis_protocol_2, analysis_protocol_3, analysis_protocol_4

File Format

4 file formats

Cell Count Estimate

720.6k

Donor Count

70
mtx12 file(s)tsv12 file(s)txt6 file(s)xlsx1 file(s)