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| Status |
Public on Dec 23, 2014 |
| Title |
Characterization of differentiating adipose cells by high-throughput single-cell RNA-Seq |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Directed differentiation of cells in vitro is a powerful approach for dissection of developmental pathways, disease modeling and regenerative medicine, but analysis of such systems are complicated by heterogeneous and asynchronous cellular responses to differentiation-inducing stimuli. To enable deep characterization of heterogeneous cell populations, we developed an efficient digital gene expression profiling protocol that enables surveying of mRNA in thousands of single cells at a time. We then applied this protocol to profile 11,116 cells collected during directed differentiation of human adipose-derived stem/stromal cells. The resulting data reveals the major axes of cell-to-cell variation within and between time points and suggests a link between incomplete adipogenesis in vitro and adipocyte dysfunction in vivo.
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| Overall design |
High-throughput single cell RNA-seq method applied to human adipose tissue-derived stromal/stem cells during differentiation towards an adipogenic fate
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| Contributor(s) |
Soumillon M, Cacchiarelli D, Semrau S, van Oudenaarden A, Mikkelsen TS |
| Citation |
Characterization of directed differentiation by high-throughput single-cell RNA-Seq. Magali Soumillon, Davide Cacchiarelli, Stefan Semrau, Alexander van Oudenaarden, Tarjei S Mikkelsen. bioRxiv. Mar 5, 2014. http://dx.doi.org/10.1101/003236
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| Submission date |
Dec 24, 2013 |
| Last update date |
May 15, 2019 |
| Contact name |
Magali Soumillon |
| E-mail(s) |
mag.soumillon@gmail.com
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| Organization name |
Harvard University, HSCRB
|
| Street address |
Divinity Avenue 7
|
| City |
Cambridge |
| State/province |
MA |
| ZIP/Postal code |
02138 |
| Country |
USA |
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| Platforms (2) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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| Samples (52)
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| Relations |
| BioProject |
PRJNA232531 |
| SRA |
SRP034712 |
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