Modeling acute myeloid leukemia in a continuum of differentiation states
Autor: | Russell C. Rockne, Ami Radunskaya, Jeho Park, Kimberly Ayers, Heyrim Cho, Lisette de Pillis, Ya-Huei Kuo |
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Rok vydání: | 2017 |
Předmět: |
0303 health sciences
Continuum (topology) Dimensionality reduction Cellular differentiation Myeloid leukemia Computational biology Biology Abstract space Space (mathematics) 03 medical and health sciences 0302 clinical medicine Flow (mathematics) 030220 oncology & carcinogenesis Graph (abstract data type) 030304 developmental biology |
Popis: | Here we present a mathematical model of movement in an abstract space representing states of cellular differentiation. We motivate this work with recent examples that demonstrate a continuum of cellular differentiation using single cell RNA sequencing data to characterize cellular states in a high-dimensional space, which is then mapped into ℝ2 or ℝ3 with dimension reduction techniques. We represent trajectories in the differentiation space as a graph, and model directed and random movement on the graph with partial differential equations. We hypothesize that flow in this space can be used to model normal differentiation processes as well as predict the evolution of abnormal differentiation processes such as those observed during pathogenesis of acute myeloid leukemia (AML). |
Databáze: | OpenAIRE |
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