A Single-Cell Transcriptome Atlas of the Human Pancreas

A Single-Cell Transcriptome Atlas of the Human Pancreas

Volume 3 | Mauro J. Muraro, Gitanjali Dharmadhikari, Dominic Grün, Nathalie Groen, Tim Dielen, Erik Jansen, Leon van Gurp, Marten A. Engelse, Francoise Carlotti, Eelco J.P. de Koning, and Alexander van Oudenaarden
This supplement provides a single-cell transcriptome atlas of the human pancreas, revealing gene expression patterns across various cell types. The study uses SORT-Seq and manual CEL-Seq to analyze transcriptomes of pancreatic cells from five donors. Figure S1 shows that SORT-Seq allows for deep sequencing of human pancreas cells, with higher transcript counts compared to manual CEL-Seq. Differentially expressed genes and transcription factors are identified across endocrine cell types. Figure S2 highlights cluster-restricted gene expression patterns and identifies new cell-type specific genes. ALDH1A1 is shown to be expressed in alpha cells but not beta cells, with co-staining confirming its expression in islet cells. GO-term analysis (Figure S3) reveals cell-type specific gene expression patterns relevant to endocrine biology and glucose metabolism. Figure S4 shows heterogeneity within acinar and beta cells, with differential gene expression analysis identifying significant genes. Figure S5 presents FACS enrichment of endocrine and alpha cells based on novel cell-surface markers. The supplement includes tables and data detailing donor information, differentially expressed genes, transcription factors, and GO-term analysis for endocrine cell types. Data S1 provides a script for data analysis, including StemID parameters and differential gene expression analysis. The study provides a comprehensive view of pancreatic cell types and their gene expression profiles, contributing to understanding pancreatic biology and disease.This supplement provides a single-cell transcriptome atlas of the human pancreas, revealing gene expression patterns across various cell types. The study uses SORT-Seq and manual CEL-Seq to analyze transcriptomes of pancreatic cells from five donors. Figure S1 shows that SORT-Seq allows for deep sequencing of human pancreas cells, with higher transcript counts compared to manual CEL-Seq. Differentially expressed genes and transcription factors are identified across endocrine cell types. Figure S2 highlights cluster-restricted gene expression patterns and identifies new cell-type specific genes. ALDH1A1 is shown to be expressed in alpha cells but not beta cells, with co-staining confirming its expression in islet cells. GO-term analysis (Figure S3) reveals cell-type specific gene expression patterns relevant to endocrine biology and glucose metabolism. Figure S4 shows heterogeneity within acinar and beta cells, with differential gene expression analysis identifying significant genes. Figure S5 presents FACS enrichment of endocrine and alpha cells based on novel cell-surface markers. The supplement includes tables and data detailing donor information, differentially expressed genes, transcription factors, and GO-term analysis for endocrine cell types. Data S1 provides a script for data analysis, including StemID parameters and differential gene expression analysis. The study provides a comprehensive view of pancreatic cell types and their gene expression profiles, contributing to understanding pancreatic biology and disease.
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