A predictive computational framework for direct reprogramming between human cell types.
about
Role of Hepatic-Specific Transcription Factors and Polycomb Repressive Complex 2 during Induction of Fibroblasts to Hepatic FateLarge-scale mapping of mammalian transcriptomes identifies conserved genes associated with different cell states.Models of global gene expression define major domains of cell type and tissue identityA computational systems approach identifies synergistic specification genes that facilitate lineage conversion to prostate tissueModel-based transcriptome engineering promotes a fermentative transcriptional state in yeast.Update of the FANTOM web resource: high resolution transcriptome of diverse cell types in mammals.A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications.Assessment of engineered cells using CellNet and RNA-seq.Systemic evaluation of cellular reprogramming processes exploiting a novel R-tool: eegc.Computational Tools for Stem Cell Biology.Direct lineage reprogramming via pioneer factors; a detour through developmental gene regulatory networks.Network Reconstruction Reveals that Valproic Acid Activates Neurogenic Transcriptional Programs in Adult Brain Following Traumatic Injury.Making β(-like)-cells from exocrine pancreas.Past Roadblocks and New Opportunities in Transcription Factor Network Mapping.Computational methods for direct cell conversion.Cellular reprogramming for clinical cartilage repair.Engineering kidney cells: reprogramming and directed differentiation to renal tissues.Identifying gene expression modules that define human cell fatesA Generalized Gene-Regulatory Network Model of Stem Cell Differentiation for Predicting Lineage Specifiers.Comprehensive transcriptome mining of the direct conversion of mesodermal cellsNetProphet 2.0: Mapping Transcription Factor Networks by Exploiting Scalable Data Resources.RNA polymerase II primes Polycomb-repressed developmental genes throughout terminal neuronal differentiation.Algorithm for cellular reprogramming.PIVOT: platform for interactive analysis and visualization of transcriptomics data.Single-cell pluripotency regulatory networks.Regulating the transcriptomes that mediate the conversion of fibroblasts to various nervous system neural cell types.Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.Translating genetic and preclinical findings into autism therapies.Genomic and molecular control of cell type and cell type conversions.Enhancer RNA profiling predicts transcription factor activity.Direct reprogramming of fibroblasts into renal tubular epithelial cells by defined transcription factors.Enabling direct fate conversion with network biology.A simpler twist of fate.Tracing the origin of heterogeneity and symmetry breaking in the early mammalian embryo.Transcriptional synergy as an emergent property defining cell subpopulation identity enables population shift.The Xenopus animal cap transcriptome: building a mucociliary epitheliumSeesawPred: A Web Application for Predicting Cell-fate Determinants in Cell DifferentiationModeling gene-regulatory networks to describe cell fate transitions and predict master regulators
P2860
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P2860
A predictive computational framework for direct reprogramming between human cell types.
description
2016 nî lūn-bûn
@nan
2016 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A predictive computational framework for direct reprogramming between human cell types.
@ast
A predictive computational framework for direct reprogramming between human cell types.
@en
A predictive computational framework for direct reprogramming between human cell types.
@nl
type
label
A predictive computational framework for direct reprogramming between human cell types.
@ast
A predictive computational framework for direct reprogramming between human cell types.
@en
A predictive computational framework for direct reprogramming between human cell types.
@nl
prefLabel
A predictive computational framework for direct reprogramming between human cell types.
@ast
A predictive computational framework for direct reprogramming between human cell types.
@en
A predictive computational framework for direct reprogramming between human cell types.
@nl
P2093
P50
P356
P1433
P1476
A predictive computational framework for direct reprogramming between human cell types.
@en
P2093
Alistair R R Forrest
Carsten O Daub
Christian M Nefzger
Enrico Petretto
FANTOM Consortium
Harukazu Suzuki
Jay W Shin
Melissa L Holmes
P2888
P304
P356
10.1038/NG.3487
P407
P50
P577
2016-01-18T00:00:00Z