Insulin is expressed by enteroendocrine cells during human fetal development
<p>Codes and single cell data for "Insulin is expressed by enteroendocrine cells during human fetal development" paper.</p> <p><strong>Folder: Cell_Ranger_output</strong><br> Data produced using 10x sequencing.<br> This folder contains all the Cell Ranger output raw files from all 6 subjects used for single cell RNA sequencing (2x Neonatal- S1056, S1127, 2x fetal 21 weeks GA- S1100A, S1102, 2x fetal 23weeks GA S1130, S1143).<br> Each subject has two 10X runs- one done on CD45 negatively selected small intestinal cells and the other on non-selected small intestinal cells.</p> <p><strong>Folder: Matlab_codes_and_struct</strong><br> Done on Matlab R2019b<br> This folder contains two scripts and their input files.<br> 1. Global_transcriptome_similarity_Matlab.m - Matlab script to create the distance from adult beta cells from Extended Data Fig 2<br> 2. sturcture_for_global_similarity.mat - input file for "Global_transcriptome_similarity_Matlab.m" script<br> 3. SCENIC_analysis_matlab.m - Matlab script to create clustergram of transcription factors with the most differential activities in the different cell types from Extended Data Fig 3<br> 4. EECs_mat_file.mat - input file for "SCENIC_analysis_matlab.m" script</p> <p><strong>Folder: Seurat_pipline_and_background_subtraction</strong><br> Done with Seurat package version 3.2.2<br> This folder contains R scripts for Seurat analysis and script for background (BG) subtraction of the data.<br> 1. BG_subtraction_before_seurat.R - Script that creates a BG subtracted matrix for each Cell Ranger output before Seurat analysis.<br> 2. seurat_pipline_all_cells.R - Script for Seurat analysis for the full atlas and the Enteroendocrine subset.</p> <p><strong>Folder: Count_tables</strong><br> This folder contains three BG subtracted UMI tables and their additional metadata.<br> 1. BG_subtracted_count_table_all_cells_before_filt.txt - BG subtracted UMI table of all cells before Seurat filtration and analysis (input file for "seurat_pipline_all_cells.R" script).<br> 2. Metadata_all_cells_before_filteration.xlsx - Metadata for "BG_subtracted_count_table_all_cells_before_filt.txt " (input file for "seurat_pipline_all_cells.R" script).<br> 3. BG_subtracted_count_table_all_cells_after_filt.txt - BG subtracted UMI table of all cells after Seurat filtration and analysis.<br> 4. Metadata_all_cells_after_filteration.xlsx - Metadata for "BG_subtracted_count_table_all_cells_after_filt.txt".<br> 5. BG_sub_count_table_enteroendocrine_cells.txt - BG subtracted UMI table of enteroendocrine cells subset after Seurat filtration and analysis. <br> 6. Metadata_enteroendocrine_cells.xlsx - Metadata for "BG_sub_count_table_enteroendocrine_cells.txt".</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- May 26, 2021
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.4785358
Scored with release 0.9.0
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