bioRxivSystems BiologyPreprint
SIS-seq, a molecular ‘time machine’, connects single cell fate with gene programs
Luyi TianiD, Jaring SchreuderiD, Daniela Amann‐ZalcensteiniD, Jessica TraniD, Nikolce Kocovski, Shian SuiD, Peter DiakumisiD, Melanie BahloiD, Tobias SargeantiD, Philip D. HodgkiniD, Matthew E. RitchieiD, Shalin H. NaikiD
Abstract
Conventional single cell RNA-seq methods are destructive, such that a given cell cannot also then be tested for fate and function, without a time machine. Here, we develop a clonal method SIS-seq, whereby single cells are allowed to divide, and progeny cells are assayed separately in SISter conditions; some for fate, others by RNA-seq. By cross-correlating progenitor gene expression with mature cell fate within a clone, and doing this for many clones, we can identify the earliest gene expression signatures of dendritic cell subset development. SIS-seq could be used to study other populations harboring clonal heterogeneity, including stem, reprogrammed and cancer cells to reveal the transcriptional origins of fate decisions.
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: trajectory inference
- approach: experimental assay
- Citations
- 10
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