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| Status |
Public on Jun 01, 2019 |
| Title |
RNA-seq of Single-Cell Genotyping of Transcriptomes |
| Organisms |
Homo sapiens; Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Somatic cancer driver mutations may result in distinctly diverging phenotypic outputs. Thus, a common driver lesion may result in cancer subtypes with distinct clinical presentations and outcomes. The diverging phenotypic outputs of mutations result from the superimposition of the mutations with distinct progenitor cell populations that have differing lineage potential. However, our ability to test this hypothesis has been challenged by currently available tools. For example, flow cytometry is limited in its inability to resolve lineage commitment of early progenitors. Single-cell RNA sequencing (scRNA-seq) may provide higher resolution mapping of the early progenitor populations as long as high throughput technology is available to sequence thousands of single cells. Nevertheless, high throughput scRNA-seq is limited in its inability to jointly and robustly detect the mutational status and the transcriptional profile from the same cell. To overcome these limitations, we propose the use of scRNA-seq combined with targeted mutation sequencing from transcrptional read-outs.
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| Overall design |
We apply this method to study myeloid neopasms, in which the comlex process of hematopoiesis is corrupted by mutated stem and progenitor cells.
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| Contributor(s) |
Kim K, Nam AS, Chaligne R, Smibert P, Landau DA |
| Citation(s) |
31270458 |
| Submission date |
Jul 27, 2018 |
| Last update date |
Jul 10, 2019 |
| Contact name |
Kyu-Tae Kim |
| Organization name |
New York Genome Center
|
| Lab |
Landau Lab
|
| Street address |
101 Avenue of the Americas
|
| City |
New York |
| State/province |
New York |
| ZIP/Postal code |
10013 |
| Country |
USA |
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| Platforms (2) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
| GPL22245 |
Illumina HiSeq 2500 (Homo sapiens; Mus musculus) |
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| Samples (12)
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| This SubSeries is part of SuperSeries: |
| GSE117826 |
Single-Cell Genotyping of Transcriptomes |
|
| Relations |
| BioProject |
PRJNA483241 |
| SRA |
SRP155569 |
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