PHLOWER - Single cell trajectory analysis using Hodge Decomposition
bioRxiv (Cold Spring Harbor Laboratory)
Abstract
ABSTRACT Multi-modal single-cell sequencing, which captures changes in chromatin and gene expression in the same cells, is a game changer in the study of gene regulation in cellular differentiation processes. Computational trajectory analysis is a key computational task for inferring differentiation trees from this single-cell data, though current methods struggle with complex, multi-branching trees and multi-modal data. To address this, PHLOWER (decomPosition of the Hodge Laplacian for inferring trajectOries from floWs of cEll diffeRentiation) leverages the harmonic component of the Hodge decomposition on simplicial complexes to infer trajectory embeddings. These natural representations of cell differentiation facilitate the estimation of their underlying differentiation trees. We evaluate PHLOWER through benchmarking with multi-branching differentiation trees and using novel kidney organoid multi-modal and spatial single-cell data. These demonstrate the power of PHLOWER in both the inference of complex trees and the identification of transcription factors regulating off-target cells in kidney organoids.
Authors 11
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Mingbo Cheng Aachen Institute for Computational Genomics Joint Research Centre for Computational Biomedicine (JRC-COMBINE)
Affiliation as printed
Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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Jitske Jansen Aachen Division of Nephrology and Clinical Immunology Institute of Experimental Medicine and Systems Biology
Affiliation as printed
Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52062 Aachen, Germany
Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52062 Aachen, Germany
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Katharina C. Reimer Aachen Division of Nephrology and Clinical Immunology Institute of Experimental Medicine and Systems Biology
Affiliation as printed
Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52062 Aachen, Germany
Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52062 Aachen, Germany
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James Shiniti Nagai Aachen Institute for Computational Genomics Joint Research Centre for Computational Biomedicine (JRC-COMBINE)
Affiliation as printed
Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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Broad Institute · Massachusetts General Hospital · Massachusetts Institute of Technology
Affiliation as printed
Gene Regulation Observatory, The Broad Institute of Harvard and MIT, Cambridge, MA, USA
Molecular Pathology Unit, Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
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Affiliation as printed
Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52062 Aachen, Germany
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Martin Graßhoff Aachen Institute for Computational Genomics Joint Research Centre for Computational Biomedicine (JRC-COMBINE)
Affiliation as printed
Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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Christoph Kuppe Aachen Division of Nephrology and Clinical Immunology Institute of Experimental Medicine and Systems Biology
Affiliation as printed
Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52062 Aachen, Germany
Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52062 Aachen, Germany
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, 52074 Aachen, Germany
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Rafael Kramann Aachen Division of Nephrology and Clinical Immunology Institute of Experimental Medicine and Systems Biology
Erasmus MC · RWTH Aachen University
Affiliation as printed
Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, Rotterdam, Netherlands
Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52062 Aachen, Germany
Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, 52062 Aachen, Germany
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Ivan G. Costa corresponding Aachen Institute for Computational Genomics Joint Research Centre for Computational Biomedicine (JRC-COMBINE)
Affiliation as printed
Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
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