Journal: Nature Communications
Article Title: devCellPy is a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data
doi: 10.1038/s41467-022-33045-x
Figure Lengend Snippet: A human iPSC line was genome-edited to introduce a TBX5 - Cre /LoxP lineage tracing system. Genome-edited hiPSCs were differentiated and collected for scRNA-seq using the ICELL8 Smart-seq2 system. devCellPy models used for murine ventricular cardiomyocyte subtype predictions were applied for the prediction of the hiPSC-CMs. a Schematic of dual TBX5-Cre / MYL2-TdTomato lineage tracing system. b workflow for collection of day 15 ICELL8 data from genome-edited cell line. c Feature plots showing the expression of TurboGFP , LV marker HAND1 , ventricular markers (MYL3, MYL2, MYH7, MPPED2), and atrial markers ( NR2F1, KCNA5, VSNL1, STARD10) . d Left, Representative flow cytometry plot of cardiac troponin T (TNNT2) and TurboGFP expression at day 35 of cardiomyocytes containing TBX5 -lineage tracing system. Right, Quantification of GFP-positive percentage among TNNT2 + cardiomyocytes among 17 independent biological replicate differentiations. Error bars represent standard error around the mean. e Left, Representative flow cytometry plot of MYL2-TdTomato and TurboGFP expression at day 35 of cardiomyocytes. Right, Quantification of GFP-positive percentage among TdTomato+ cardiomyocytes among 17 independent biological replicate differentiations. Error bars represent standard error around the mean. f Predictions of cardiomyocyte subtypes for day 15 hiPSC-CM using devCellPy E8.25 model and prediction probabilities. g Predictions of ventricular cardiomyocyte subtypes (left) of day 15 hiPSC-CM and prediction probabilities (right). Prediction probabilities indicate high overall confidence in LV predictions.
Article Snippet: We conducted single-cell capture and cDNA library generation using the Smartseq2 Takara ICELL8 single cell system (Takara Cat. No. 640000).
Techniques: Introduce, Expressing, Marker, Flow Cytometry