The supplemental information provides detailed supplementary figures and tables supporting the main findings of the study on a single-cell transcriptome atlas of the human pancreas. Key points include: 1. **Figure S1**: Compares the performance of SORT-Seq and manual CEL-Seq in sequencing human pancreatic cells. SORT-Seq allows for deeper sequencing with a higher number of detected transcripts and genes per cell, and identifies differentially expressed genes and transcription factors across various endocrine cell types. 2. **Figure S2**: Highlights cluster-restricted gene expression patterns and identifies new cell-type specific genes. It shows the expression of differentially expressed genes in six main pancreatic cell types and the top 100 differentially expressed genes between endocrine and exocrine cell types. 3. **Figure S3**: Conducts GO-term analysis to reveal cell-type specific gene expression patterns relevant to endocrine biology and glucose metabolism. It identifies enriched GO terms for genes differentially expressed in endocrine cell types and between beta cells and other endocrine cell types. 4. **Figure S4**: Identifies outliers within acinar and beta cells through differential gene expression analysis, highlighting subcluster heterogeneity. 5. **Figure S5**: Uses FACS to enrich endocrine and alpha cells based on novel cell-surface markers, demonstrating the expression of main pancreatic marker genes in sorted cell populations. 6. **Supplemental Tables**: Provides detailed donor information, lists of differentially expressed genes and transcription factors, GO-term analysis results, mean expression of subpopulations, and differential cell-surface marker expression. Additionally, it includes data analysis scripts for reference. Overall, the supplemental material supports the comprehensive analysis of the human pancreatic transcriptome, providing insights into cell-type specific gene expression and functional annotations.The supplemental information provides detailed supplementary figures and tables supporting the main findings of the study on a single-cell transcriptome atlas of the human pancreas. Key points include: 1. **Figure S1**: Compares the performance of SORT-Seq and manual CEL-Seq in sequencing human pancreatic cells. SORT-Seq allows for deeper sequencing with a higher number of detected transcripts and genes per cell, and identifies differentially expressed genes and transcription factors across various endocrine cell types. 2. **Figure S2**: Highlights cluster-restricted gene expression patterns and identifies new cell-type specific genes. It shows the expression of differentially expressed genes in six main pancreatic cell types and the top 100 differentially expressed genes between endocrine and exocrine cell types. 3. **Figure S3**: Conducts GO-term analysis to reveal cell-type specific gene expression patterns relevant to endocrine biology and glucose metabolism. It identifies enriched GO terms for genes differentially expressed in endocrine cell types and between beta cells and other endocrine cell types. 4. **Figure S4**: Identifies outliers within acinar and beta cells through differential gene expression analysis, highlighting subcluster heterogeneity. 5. **Figure S5**: Uses FACS to enrich endocrine and alpha cells based on novel cell-surface markers, demonstrating the expression of main pancreatic marker genes in sorted cell populations. 6. **Supplemental Tables**: Provides detailed donor information, lists of differentially expressed genes and transcription factors, GO-term analysis results, mean expression of subpopulations, and differential cell-surface marker expression. Additionally, it includes data analysis scripts for reference. Overall, the supplemental material supports the comprehensive analysis of the human pancreatic transcriptome, providing insights into cell-type specific gene expression and functional annotations.