Gene Expression
Nebulas
Gene Expression NebulasSummary: The heterogeneity of human NK cells has not been fully-defined. Using single-cell RNA-sequencing technology, we find more human NK subsets than previously defined by cell surface markers. The transcriptome-based pseudotime analysis support that CD56bright NK cells are precursors of CD56dim NK cells with identification of a transitional stage. Our data significantly expand our understanding of the heterogeneity and development of human NK cells.
Overall Design: Single-cell RNA-sequencing analysis of NK cells from bone marrow of six healthy donors, blood of two healthy donors and a blood sample from a donor with GATA2T354M mutation
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| Growth Protocol: | - |
| Treatment Protocol: | - |
| Extract Protocol: | Cells were washed once with ice-cold PBS containing 10% FBS post-sorting and counted using hemocytometer. After that, the cells were loaded to 10X chromium machine (10X Genomics, Pleasanton, CA) and run through the library preparation procedures following guidance from the Chromium Single Cell 3' Reagent Kits v2. |
| Library Construction Protocol: | scRNA libraries were prepared for sequencing using the guidance from the 10X Chromium Single Cell 3' Reagent Kits v2 |
| Molecule Type: | poly(A)+ RNA |
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| Library Layout: | PAIRED |
| Library Strand: | Forward |
| Platform: | ILLUMINA |
| Instrument Model: | Illumina NextSeq 500 |
| Strand-Specific: | Specific |
| Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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