Cell Type Purification by Single-Cell Transcriptome-Trained Sorting
Copyright policy )Cell Type Purification by Single-Cell Transcriptome-Trained Sorting
Traditional cell type enrichment using fluorescence activated cell sorting (FACS) relies on methods that specifically label the cell type of interest. Here we propose GateID, a computational method that combines single-cell transcriptomics for unbiased cell type identification with FACS index sorting to purify cell types of choice. We validate GateID by purifying various cell types from the zebrafish kidney marrow and the human pancreas without resorting to specific antibodies or transgenes.
- Utrecht University Netherlands
- Royal Netherlands Academy of Arts and Sciences Netherlands
- Leiden University Netherlands
- SINGLE CELL DISCOVERIES BV Netherlands
- Royal Netherlands Academy of Arts and Sciences (KNAW) Netherlands
flow cytometry, zebrafish hematopoiesis, General Biochemistry,Genetics and Molecular Biology, optimization algorithm, Cell Separation, bisulphite sequencing, Flow Cytometry, Kidney, Article, machine learning, human pancreas, Animals, Humans, cell type purification, Single-Cell Analysis, single-cell transcriptomics, Transcriptome, FACS gate prediction and normalization, Pancreas, Software, Zebrafish
flow cytometry, zebrafish hematopoiesis, General Biochemistry,Genetics and Molecular Biology, optimization algorithm, Cell Separation, bisulphite sequencing, Flow Cytometry, Kidney, Article, machine learning, human pancreas, Animals, Humans, cell type purification, Single-Cell Analysis, single-cell transcriptomics, Transcriptome, FACS gate prediction and normalization, Pancreas, Software, Zebrafish
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