Quantifying cell fate decisions for differentiation and reprogramming of a human stem cell network: landscape and biological paths.
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Systems Biology Approach to Model the Life Cycle of Trypanosoma cruziModeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of developmentIntrinsic Noise Profoundly Alters the Dynamics and Steady State of Morphogen-Controlled Bistable Genetic SwitchesA Physical Mechanism and Global Quantification of Breast CancerStem cell differentiation as a many-body problemClassification of transient behaviours in a time-dependent toggle switch modelBTR: training asynchronous Boolean models using single-cell expression data.Reshaping the epigenetic landscape during early flower development: induction of attractor transitions by relative differences in gene decay rates.Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination.Quantifying the underlying landscape and paths of cancerLandscape and flux reveal a new global view and physical quantification of mammalian cell cycleModeling putative therapeutic implications of exosome exchange between tumor and immune cells.Construction and validation of a regulatory network for pluripotency and self-renewal of mouse embryonic stem cellsExploring the mechanisms of differentiation, dedifferentiation, reprogramming and transdifferentiationIncreased robustness of early embryogenesis through collective decision-making by key transcription factorsGene regulatory network underlying the immortalization of epithelial cells.A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions.A self-enhanced transport mechanism through long noncoding RNAs for X chromosome inactivationQuantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.Mathematical approaches to modeling development and reprogramming.Epigenetic state network approach for describing cell phenotypic transitions.Time-Delayed Models of Gene Regulatory Networks.NetLand: quantitative modeling and visualization of Waddington's epigenetic landscape using probabilistic potential.Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell ReprogrammingQuantifying the landscape and kinetic paths for epithelial-mesenchymal transition from a core circuit.Uncovering the mechanisms of Caenorhabditis elegans ageing from global quantification of the underlying landscape.Landscape of gene networks for random parameter perturbation.Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development.Network Features and Dynamical Landscape of Naive and Primed Pluripotency.Identifying the optimal anticancer targets from the landscape of a cancer-immunity interaction network.A Blueprint for a Synthetic Genetic Feedback Controller to Reprogram Cell Fate.Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune microenvironment from global quantification of the landscape.Mesenchymal stem cells over-expressing cxcl12 enhance the radioresistance of the small intestine.Construction of an effective landscape for multistate genetic switches.Dynamical analysis of cellular ageing by modeling of gene regulatory network based attractor landscape.Landscape reveals critical network structures for sharpening gene expression boundaries.Construction of Discrete Model of Human Pluripotency in Predicting Lineage-Specific Outcomes and Targeted Knockdowns of Essential GenesA landscape view on the interplay between EMT and cancer metastasisLandscape and flux theory of non-equilibrium dynamical systems with application to biologyTransition state characteristics during cell differentiation
P2860
Q27330520-87E113DF-3790-44BC-84E2-99979D3FC553Q28083970-BF5C8381-42CB-4111-9D06-CAF573864F9EQ28552898-BA05AE8D-DAFD-4BDE-9002-7271BF6FF57AQ28596313-8F519181-5FC1-43A6-9052-995FAA259BF4Q30584423-0CDB76B6-2384-40B5-B6FC-0E985D4442E4Q30584893-542B520F-1295-4449-A5DA-B02143048218Q31127010-D896E251-7255-4C01-B375-F55034D090CBQ33360682-3ECFE3CE-FB9C-464C-BCBD-175C01007F6FQ33554618-727581DC-1057-43C2-B9C7-BC6FF658183BQ34311931-A639527F-E350-4059-B446-3C577ABE8087Q34314517-A7D1DC1C-190B-4BCA-BBFE-3F0DB63A17DAQ34407541-EBEA8D8B-16E6-4BAC-B2A2-CF50111BA989Q35224783-1556C028-7B65-4584-9B61-B5AD96455501Q35227151-05B9E5F0-92B9-4832-A94B-EBC52B5DAD77Q35649232-53260844-B0CF-4EB3-AA6E-F000C43FDC1CQ36283428-819CAEAA-A03D-4339-A6E3-9335126CA728Q36373479-DCF0986A-6657-41AA-8DFC-C07F30C0B46CQ37177293-2ECCF06B-77E1-4BBF-96BF-C06DFCF35A7CQ37255821-766C1422-189C-4FB0-AFC1-E0164D56B000Q37702110-D58F89E3-FD12-41F0-B45F-83D6A63570BAQ37718336-BB4FCB36-B7DE-4EC3-8516-F05649BA7BF9Q38635679-74EEC53E-E5B0-44F2-9E6A-C8BC5DA638C0Q39008943-79AC4B08-6141-4C22-90D4-D44482CA3B4FQ42039827-5AA9058A-FAE6-4299-9038-F16B86CC14D7Q42415653-7865D920-012C-408B-8AAB-DA2A540A8A34Q42790918-5E0E2B4E-ED36-428C-B438-0FBAEA12A9F7Q47562322-531B5264-A6B3-4F99-8FA6-113121F2F2B0Q47577161-B6B5103E-7AC9-4D01-802E-AAD32C31407CQ47872321-7EF71244-9412-48E9-AF2D-F4A572C94E91Q47952036-B98FAC03-F366-442F-BD0D-312673C65628Q48018218-5BCD0BB2-D983-4D67-B835-0AC3DE461492Q48058780-972F940D-811D-4F7C-BB24-EBC7182569D6Q50198000-2DD502DB-9F40-4FCB-BA1E-FE209C729CD5Q53231818-C5D43129-CF53-4160-B872-9167A04B5A39Q55345411-CB8A354A-C2F2-45F5-ABA6-8A29D012754DQ55372624-1DF35E60-A60A-4A99-BE40-B4F14318489DQ56888371-49C2CD7E-EA64-4750-9689-4D25A5E21025Q57272542-0AFA76EF-9A2A-43FA-9DA5-237A95570AB0Q58306245-A41A3386-C0D8-4D61-A1AF-620053401D23Q58709816-6B37A303-E567-4B75-BE88-6C89065EE452
P2860
Quantifying cell fate decisions for differentiation and reprogramming of a human stem cell network: landscape and biological paths.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Quantifying cell fate decision ...... andscape and biological paths.
@ast
Quantifying cell fate decision ...... andscape and biological paths.
@en
Quantifying cell fate decision ...... andscape and biological paths.
@nl
type
label
Quantifying cell fate decision ...... andscape and biological paths.
@ast
Quantifying cell fate decision ...... andscape and biological paths.
@en
Quantifying cell fate decision ...... andscape and biological paths.
@nl
prefLabel
Quantifying cell fate decision ...... andscape and biological paths.
@ast
Quantifying cell fate decision ...... andscape and biological paths.
@en
Quantifying cell fate decision ...... andscape and biological paths.
@nl
P2860
P1476
Quantifying cell fate decision ...... andscape and biological paths.
@en
P2093
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003165
P50
P577
2013-08-01T00:00:00Z