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10 additional projects are components of the Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies.
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development
Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
| Accession | PRJNA287969; GEO: GSE70236 |
| Data Type | Transcriptome or Gene expression |
| Scope | Multiisolate |
| Organism | Mus musculus[Taxonomy ID: 10090] Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus; Mus musculus |
| Publications | Olsson A et al., "Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.", Nature, 2016 Sep 29;537(7622):698-702 |
| Submission | Registration date: 24-Jun-2015
Grimes, Immunobiology, Cincinnati Childrens Hospital Medical Center |
| Relevance | Model Organism |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 96 |
| Publications |
| PubMed | 1 |
| PMC | 1 |
| Other datasets |
| BioSample | 96 |
| GEO DataSets | 1 |