2019
DOI: 10.1101/538553
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Self-reporting transposons enable simultaneous readout of gene expression and transcription factor binding in single cells

Abstract: In situ assays of transcription factor (TF) binding are confounded by cellular heterogeneity and represent averaged profiles in complex tissues. Single cell RNA-seq (scRNA-seq) is capable of resolving different cell types based on gene expression profiles, but no technology exists to directly link specific cell types to the binding pattern of TFs in those cell types. Here, we present self-reporting transposons (SRTs) and their use in single cell calling cards (scCC), a novel assay for simultaneously capturing … Show more

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Cited by 6 publications
(8 citation statements)
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“…Calling card libraries were prepared as described with minor modifications 3,4,16 . We performed first-strand reverse transcription reactions in 20 μL total volume using 2 μg of RNA from each sample.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…Calling card libraries were prepared as described with minor modifications 3,4,16 . We performed first-strand reverse transcription reactions in 20 μL total volume using 2 μg of RNA from each sample.…”
Section: Methodsmentioning
confidence: 99%
“…A recent technical innovation termed the 'selfreporting transposon' (SRT) allows for the facile recovery of calling cards through RNA sequencing (RNA-seq) 3 . RNA-mediated mapping of transposon insertions is more efficient than previous DNA-based protocols 1 , and this protocol enables the simultaneous identification of TFBS and changes in gene expression in single cells 4 . However, in bulk experiments on populations of cells, the RNA-mediated protocol is technically cumbersome, requiring a large number of replicates 4 .…”
Section: Introductionmentioning
confidence: 99%
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“…Calling card technology is currently undergoing a renaissance. We have recently used calling cards to study TF binding in bulk populations of cells in vivo (Cammack et al, 2020), and we have also combined calling cards with single cell RNA-seq to simultaneously profile cell identity in complex organs and heterogenous disease states (Moudgil et al, 2019). Calling cards has also been used to dissect TF binding in both steady state and dynamic contexts (Mayhew and Mitra, 2014;Shively et al, 2019).…”
Section: Introductionmentioning
confidence: 99%