Gene Expression
Nebulas
Gene Expression NebulasSummary: CML stem cells (CMLSCs) and normal hematopoietic stem cells (HSCs) display the same set of surface markers (CD34+CD38-CD90+CD45RA-), making it infeasible to separate these two populations within the same sample. To overcome this challenge, and to minimize variations in gene expression due to individual variation, here we perform single-cell RNA-seq to compare expression profiles of CMLSCs and HSCs isolated from the same patient. We captured ~600 HSCs (CD34+CD38-CD90+CD45RA-) (~200 from each of three CML patient samples), separated them into CMLSCs (BCR-ABL+) or normal HSCs (BCR-ABL-) based on the presence of the BCR-ABL transcript, and performed paired-end deep sequencing. Typically, we obtained ~2.5 million mapped reads (>70% average mapping efficiency) and detected ~5,000 genes (transcript per million [TPM]>1) per cell. Despite the heterogeneity of the gene expression pattern, we were able to identify genes that were significantly more highly expressed in CMLSCs than in normal HSCs. Notably, among these genes are two cell surface markers, CD33 and CD47, that could potentially be used to distinguish CMLSCs from normal HSCs. We also found genes, such as PIM2, that could be targeted for CML therapy using available small molecule inhibitors.
Overall Design: Hematopoietic stem cell population from three chronic phase CML patients with no detectable BCR-ABL mutation.
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| Growth Protocol: | Primary CML cells were subjected directly to flow sorting |
| Treatment Protocol: | NT |
| Extract Protocol: | Library was prepared using Nextera XT DNA sample preparation following Smart-seq2 protocol. |
| Library Construction Protocol: | - |
| Molecule Type: | rRNA- RNA |
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| Library Layout: | PAIRED |
| Library Strand: | - |
| Platform: | ILLUMINA |
| Instrument Model: | Illumina NextSeq 500 |
| Strand-Specific: | Unspecific |
| 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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