HCA Data Explorer

Single-Cell Transcriptome and Downstream Analyses of Human Stomach Reveal the Cell Diversity and Developmental Features of Gastric and Metaplastic Mucosae

Updated November 7, 2023

The project was performed to characterize all kinds of human gastric cells and clarify the physiology of normal gastric mucosa and the development of intestinal metaplasia. Single-cell RNA sequence and downstream analyses were applied to elucidate and to build up a hypothesis. Here, we constructed a largest human gastric atlas comprised of 137,610 cells from our university and other two public databases. We identified new possible stem cell marker genes and activated transcription factor in the stem cells. Moreover, we clarified a spatial distribution of the fibroblasts in the gastric mucosa by RNA in situ hybridization and the results suggested the difference of fibroblasts between intestinal metaplasia and genuine colonic mucosa. Cell-cell communication analysis also indicated that a potential interaction in the stem cell niche and intestinal metaplasia-specific interaction between epithelial cells and fibroblasts.

Shumpei IshikawaThe University of Tokyoishum-prm@m.u-tokyo.ac.jp
Hiroto Katoh (Experimental Scientist)1
Miwako Kakiuchi (Experimental Scientist)1
Yasuyuki Seto (Biomaterial Provider)1
Tetsuo Ushiku (Biomaterial Provider)1
Shumpei Ishikawa (Principal Investigator)1
1The University of Tokyo
Ayumu Tsubosaka
Daisuke Komura
William G Sullivan

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/cfece4d2-f18d-44ad-a46a-42bbcb5cb3b7
None
None

Atlas

None

Analysis Portals

None

Project Label

GastricAndMetaplasticMucosae

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

stomach

Organ Part

Unspecified

Selected Cell Types

B cell

Disease Status (Specimen)

gastric cancer

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

2 file formats

Cell Count Estimate

137.6k

Donor Count

15
rds1 file(s)xlsx1 file(s)