Foundry120 atlas

Deriving human intestinal organoids with functional tissue-resident macrophages all from pluripotent stem cells

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Dataset overview

Participants None
Samples 5
Reuse readiness 5.4/10 evidence-backed score

Deriving Human Intestinal Organoids with Functional Tissue-Resident Macrophages All From Pluripotent Stem Cells.

Abstract

<h4>Background & aims</h4>Organs of the gastrointestinal tract contain tissue-resident immune cells that function during tissue development, homeostasis, and disease. However, most published human organoid model systems lack resident immune cells, thus limiting their potential as disease avatars. For example, human intestinal organoids (HIOs) derived from pluripotent stem cells contain epithelial and various mesenchymal cell types but lack immune cells. In this study, we aimed to develop an HIO model with functional tissue-resident macrophages.<h4>Methods</h4>HIOs and macrophages were generated separately through the directed differentiation of human pluripotent stem cells and combined in vitro. Following 2 weeks of coculture, the organoids were used for transcriptional profiling, functional analysis of macrophages, or transplanted into immunocompromised mice and matured in vivo for an additional 10-12 weeks.<h4>Results</h4>Macrophages were incorporated into developing HIOs and persisted for 2 weeks in vitro HIOs and for at least 12 weeks in HIOs in vivo. These cocultured macrophages had a transcriptional signature that resembled those in the human fetal intestine, indicating that they were acquiring the features of tissue-resident macrophages. HIO macrophages could phagocytose bacteria and produced inflammatory cytokines in response to proinflammatory signals, such as lipopolysaccharide, which could be reversed with interleukin-10.<h4>Conclusions</h4>We generated an HIO system containing functional tissue-resident macrophages for an extended period. This new organoid system can be used to investigate the molecular mechanisms involved in inflammatory bowel disease.

Study facts

Organism
Homo sapiens
Platform
10x Genomics Chromium
Age group
paediatric
Disease groups
Anatomical sites
intestine

Data availability

  • Processed matrix

File types MTXTSV

Files and samples

Strengths & limitations for reuse

Strengths

  • Processed matrices are advertised

Limitations

  • Not documented: raw counts are advertised
  • Not documented: cell metadata are advertised
  • Not documented: participant counts are documented
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.assay_type single-cell RNA sequencing
scRNA-seq

Section , offset —

assay.library_chemistry Chromium 3’ v3 GEM
single cell Chromium 3’ v3 GEM protocol

Section , offset —

assay.platform 10x Genomics Chromium
single cell Chromium 3’ v3 GEM protocol, 10x Genomics

Section , offset —

assay.reference_genome hg38
Assembly: hg38 for Day 35 HIOs with and without Macrophages and Day 28 Monocyte/Macrophage

Section , offset —

assay.sequencing_type scrna_seq
were subjected to 10X sequencing

Section , offset —

Cohort

FieldValueEvidence
cohort.age_group paediatric from source
GEO age characteristics: 35 days post-hPSC; 35 days post-hPSC; 35 days post-hPSC; 35 days post-hPSC; 28 days post-hPSC

Section GEO family SOFT, offset —

Data_Assets

FieldValueEvidence
data_assets.open_access True
"isOpenAccess": "Y"

Section , offset —

data_assets.processed_matrix True
generate filtered matrices

Section , offset —

Processing

FieldValueEvidence
processing.batch_correction_reported True
we integrated hPSC-derived datasets and/or human datasets using scRNA-seq Seurat integration and Harmony.

Section scRNA-seq, Alignment, and Analysis, offset —

processing.cell_type_annotation_method Seurat FindAllMarkers
We annotated clusters using “FindAllMarkers” function.

Section scRNA-seq, Alignment, and Analysis, offset —

processing.normalization_method SCTransform (Seurat)
Data were normalized using SCTransform Seurat.

Section scRNA-seq, Alignment, and Analysis, offset —

processing.quality_control_reported True
Individual analysis of all datasets was first performed by running a quality control

Section scRNA-seq, Alignment, and Analysis, offset —

Specimens

FieldValueEvidence
specimens.anatomical_sites ['intestine']
hPSC-derived intestinal organoids

Section , offset —

specimens.number_of_samples 5
"n_samples": 5

Section , offset —