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Protein velocity and acceleration from single-cell multiomics experiments

Gennady Gorin, Valentine Svensson, Lior Pachter

2020Genome biology97 citationsDOIOpen Access PDF

Abstract

The simultaneous quantification of protein and RNA makes possible the inference of past, present, and future cell states from single experimental snapshots. To enable such temporal analysis from multimodal single-cell experiments, we introduce an extension of the RNA velocity method that leverages estimates of unprocessed transcript and protein abundances to extrapolate cell states. We apply the model to six datasets and demonstrate consistency among cell landscapes and phase portraits. The analysis software is available as the protaccel Python package.

Topics & Concepts

BiologyPython (programming language)Computational biologyInferenceConsistency (knowledge bases)RNACellAccelerationComputer scienceGeneticsArtificial intelligenceGenePhysicsClassical mechanicsOperating systemSingle-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis Techniques
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