High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution
These datasets are associated with the application of a novel genomics platform, TempO-LINC, for conducting high-throughput transcriptomic analysis on single cells and nuclei. The approach is fundamentally different than almost all other single-cell transcriptome profiling methods in that it does not rely on reverse transcription of mRNA. Instead, TempO-LINC is a novel combination of sensitive oligonucleotide ligation-based chemistry and highly scalable combinatorial barcoding. In this study, we applied TempO-LINC to profile the transcriptomes of multiple sample types. The data demonstrated the ability to identify and annotate at least 50 unique cell populations and positively correlate expression of cell type-specific molecular markers within them. TempO-LINC is a robust new single-cell technology that is ideal for large-scale applications/studies with high data quality. Overall design: We chose to investigate complex mouse brain cortex, lung and kidney tissues to demonstrate the ability of TempO-LINC to accurately profile and identify a variety of tissue-specific cell types. To demonstrate the performance of TempO-LINC on single nuclei, a challenging sample type that is frequently used for single-cell studies, we used nuclei isolated from each of the mouse tissues for subsequent barcoding with the TempO-LINC workflow.