Quantifying Cell Fate Decisions for Differentiation and Reprogramming of a Human Stem Cell Network: Landscape and Biological Paths

PLoS Computational Biology

Volumn 9, Issue 8, 2013, Pages

  Li, Chunhe ^a   Wang, Jin ^a,b  

^a STONY BROOK UNIVERSITY   (United States)

^b CHANGCHUN INSTITUTE OF APPLIED CHEMISTRY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY; GENES; KINETICS; SENSITIVITY ANALYSIS;

BASINS OF ATTRACTION; CELL FATE DECISION; CELL NETWORK; CELL STATE; CELLULAR REPROGRAMMING; DIFFERENTIATED CELLS; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; KINETIC PATH; STEM-CELL;

STEM CELLS;

ARTICLE; CDX2 GENE; CELL DIFFERENTIATION; CELL FATE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DEVELOPMENTAL BIOLOGY; DEVELOPMENTAL STABILITY; GATA6 GENE; GENE; GENE CONTROL; GENE FUNCTION; GENE REGULATORY NETWORK; HUMAN; HUMAN CELL; KINEMATICS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; NANOG GENE; NUCLEAR REPROGRAMMING; OCT4 GENE; PLURIPOTENT STEM CELL; PREDICTIVE VALUE; QUANTITATIVE STUDY;

EID: 84883349635     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003165     Document Type: Article

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