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| Status |
Public on Mar 12, 2024 |
| Title |
Decoding Spatiotemporal Transcriptional Dynamics and Epithelial Fibroblast Crosstalk during Gastroesophageal Junction Development through Single Cell Analysis (Organoids) |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
The gastroesophageal squamocolumnar junction (GE-SCJ) is a critical tissue interface between the esophagus and stomach, with significant relevance in the pathophysiology of gastrointestinal diseases. Despite this, the molecular mechanisms underlying GE-SCJ development remain unclear. Using single-cell transcriptomics, organoids, and spatial analysis, we examine the cellular heterogeneity and spatiotemporal dynamics of GE-SCJ development from embryonic to adult mice. We identify distinct transcriptional states and signaling pathways in the epithelial and mesenchymal compartments of the esophagus and stomach during development. Fibroblast-epithelial interactions are mediated by various signaling pathways, including WNT, BMP, TGF-β, FGF, EGF, and PDGF. Our results suggest that fibroblasts predominantly send FGF and TGF-β signals to the epithelia, while epithelial cells mainly send PDGF and EGF signals to fibroblasts. We observe differences in the ligands and receptors involved in cell-cell communication between the esophagus and stomach. Our findings provide insights into the molecular mechanisms underlying GE-SCJ development and fibroblast-epithelial crosstalk involved, paving the way to elucidate mechanisms during adaptive metaplasia development and carcinogenesis.
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| Overall design |
Mouse epithelial stem cells derived from esophagus and stomach tissues were grown into 3D organoids using a unique cocktail of growth factors were harvested separately and dissociated to single-cell suspension for single-cell RNA sequencing as described in the manuscript.
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| Contributor(s) |
Kumar N, Kumar Gurumurthy R, Ganish Prakash P, Krammer T, Toussaint C, Saliba A, Chumduri C |
| Citation(s) |
38594232 |
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| Submission date |
Aug 03, 2021 |
| Last update date |
Apr 24, 2024 |
| Contact name |
Cindrilla Chumduri |
| E-mail(s) |
cindrilla.chumduri@uni-wuerzburg.de
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| Organization name |
Julius-Maximilians-Universität Würzburg
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| Department |
Chair of Microbiology, Biozentrum
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| Street address |
Am Hubland
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| City |
Würzburg |
| ZIP/Postal code |
97074 |
| Country |
Germany |
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| Platforms (1) |
| GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
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| Samples (2) |
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| Relations |
| BioProject |
PRJNA751906 |
| SRA |
SRP331041 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE181411_barcodes.tsv.gz |
5.4 Kb |
(ftp)(http) |
TSV |
| GSE181411_demultiplexed_rescued_data.csv.gz |
9.3 Kb |
(ftp)(http) |
CSV |
| GSE181411_features.tsv.gz |
131.6 Kb |
(ftp)(http) |
TSV |
| GSE181411_mapping_MULTISeq_barcode_experimnet.xlsx |
9.8 Kb |
(ftp)(http) |
XLSX |
| GSE181411_matrix.mtx.gz |
11.7 Mb |
(ftp)(http) |
MTX |
| GSE181411_raw_MULTISeq_barcount_data.csv.gz |
12.9 Kb |
(ftp)(http) |
CSV |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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