CellNet: network biology applied to stem cell engineering - Wikidata - awgldk - TriplyDB

CellNet: network biology applied to stem cell engineering

CellNet: network biology applied to stem cell engineering

http://www.wikidata.org/entity/Q34520877

about

A scalable method for molecular network reconstruction identifies properties of targets and mutations in acute myeloid leukemia Reprogramming of cell fate: epigenetic memory and the erasure of memories past Genome-Wide Transcriptome and Binding Sites Analyses Identify Early FOX Expressions for Enhancing Cardiomyogenesis Efficiency of hESC Cultures.A Systemized Approach to Investigate Ca(2+) Synchronization in Clusters of Human Induced Pluripotent Stem-Cell Derived Cardiomyocytes The reverse control of irreversible biological processes A review of induced pluripotent stem cell, direct conversion by trans-differentiation, direct reprogramming and oligodendrocyte differentiation Modeling Human Bone Marrow Failure Syndromes Using Pluripotent Stem Cells and Genome Engineering Involvement of Polycomb Repressive Complex 2 in Maturation of Induced Pluripotent Stem Cells during Reprogramming of Mouse and Human Fibroblasts Role of Hepatic-Specific Transcription Factors and Polycomb Repressive Complex 2 during Induction of Fibroblasts to Hepatic Fate Definition of transcriptome-based indices for quantitative characterization of chemically disturbed stem cell development: introduction of the STOP-Toxukn and STOP-Toxukk tests.Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology.A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors Mapping Mammalian Cell-type-specific Transcriptional Regulatory Networks Using KD-CAGE and ChIP-seq Data in the TC-YIK Cell Line.Large-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 identity A mouse tissue transcription factor atlas The novel tool of cell reprogramming for applications in molecular medicine.iPSCs as a major opportunity to understand and cure age-related diseases.Reprogramming fibroblasts to endothelial cells: converted or born again?Pioneer transcription factors in cell reprogramming.Network representations of immune system complexity.Structural phenotyping of stem cell-derived cardiomyocytes De novo generation of HSCs from somatic and pluripotent stem cell sources.Web resources for stem cell research.Prediction of Drug-Induced Liver Injury in Micropatterned Co-cultures Containing iPSC-Derived Human Hepatocytes.KeyGenes, a Tool to Probe Tissue Differentiation Using a Human Fetal Transcriptional Atlas.Probing disorders of the nervous system using reprogramming approaches.Half dozen of one, six billion of the other: What can small- and large-scale molecular systems biology learn from one another?From analog to digital models of gene regulation A Qualitative Model of the Differentiation Network in Chondrocyte Maturation: A Holistic View of Chondrocyte Hypertrophy.Small molecules increase direct neural conversion of human fibroblasts.Reprogramming cell fate with a genome-scale library of artificial transcription factors.Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.Stem cells and the evolving notion of cellular identity.A Systematic Approach to Identify Candidate Transcription Factors that Control Cell Identity.Genomic analysis of LPS-stimulated myeloid cells identifies a common pro-inflammatory response but divergent IL-10 anti-inflammatory responses.RefBool: a reference-based algorithm for discretizing gene expression data.Transcriptional Landscape of Cardiomyocyte Maturation.Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis.Recombinant Laminins Drive the Differentiation and Self-Organization of hESC-Derived Hepatocytes

P2860

Q24289222-A75FF044-7BF0-4DE6-BCBF-AA75F71B3A81 Q27027748-EF03667A-A060-405F-BFB7-0B45E930F940 Q27319765-29BB0ECC-A948-42DA-9FBF-9C27AB016480 Q27330969-7274E79F-8EDE-4D22-81B4-3EAA4652601D Q28077193-F92F093A-B7F9-4977-9FA4-873FD04DCBA0 Q28078326-75DDA3BF-DF95-49AA-A792-21BF201A80F8 Q28083303-D0928BE9-430D-4AF1-BB98-D8D3D21380CF Q28550529-6221413A-C110-4EE9-BFB5-060B690C7728 Q28554621-A514ED01-F53B-48B8-B2D7-18BAB2C507B8 Q29248402-98F1E4D0-6F98-41B2-9D78-AB73D8085C0B Q30239861-CC8489D8-0D42-40C7-9C71-302624A0CDC0 Q30662775-1A449C63-DAE2-49ED-98A5-B4CFB0F214C6 Q31030208-E4A36ABE-B6DC-44C1-AD51-063C3657F5ED Q33557481-02E9BE7C-920C-441F-9338-4DE1BE86EC59 Q33558314-D8FFAE68-50ED-4ECB-BF83-279841F26842 Q33628922-B8A96C26-3A1B-47B8-B16F-4D9F01C04D37 Q33843720-3538F050-E08E-4D36-BAA1-34BE2EB0BAC6 Q34044029-7E065039-8A63-497A-B267-9B34D122EC47 Q34276181-E9A8EB65-8B1D-4F7D-9C7B-F784B057C929 Q34697693-5B800CDF-5131-46B0-81A4-36FD14775A7B Q35118812-981C73F1-DF9D-4671-9DC3-1AF2D649ADFF Q35222607-87043110-00DA-4BC2-94CF-AB1670106DD0 Q35533599-5B10DA44-D5B4-4D55-B6C8-E90A02655EB0 Q35543841-B519A389-29CF-4B6A-B25A-CA0C408D6C3A Q35567915-58833E97-9639-4A43-8DE8-ACC1683DDE10 Q35754919-71D5153C-94EC-46EA-9B80-0DDF971E4AAA Q35761135-CE263059-3F2F-462B-A068-63794B5C67AA Q36084293-C13B4C53-36A4-473C-9A93-B0DA766281EA Q36113009-F849A5E0-FEC9-41BC-96BC-7F12F180D7EE Q36118435-41A8F8C8-B13B-4122-8A1B-8F91CF6E5BC7 Q36213186-FD8F7563-7B2F-4C63-8B99-8E9B6EB3D465 Q36215800-DD2F1969-C4EE-4855-B9D8-1CD8B5731080 Q36233059-CEFC9CC7-CAE3-454E-8199-C30A72D5ECBF Q36250941-D65E9E73-C0D0-475F-A154-0968A52628A1 Q36290925-97FFE45C-573A-41A5-AE96-78F0AC5B6FF1 Q36292801-5EE8C0A2-1CD1-4BC8-8F4A-971DE416924C Q36320248-DE559FD7-D16D-45ED-AD4E-D61FFA84B0C1 Q36327743-1415F872-0071-45D7-B629-9BA400A31EE6 Q36366930-A3802B4E-9C7D-42EF-B6C7-32424E09A997 Q36379726-1B0EFAF2-B09F-4E08-873E-EB3FA5E0E518

P2860

CellNet: network biology applied to stem cell engineering

http://www.wikidata.org/entity/Q34520877

description

2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

CellNet: network biology applied to stem cell engineering

@ast

CellNet: network biology applied to stem cell engineering

@en

CellNet: network biology applied to stem cell engineering

@nl

type

label

CellNet: network biology applied to stem cell engineering

@ast

CellNet: network biology applied to stem cell engineering

@en

CellNet: network biology applied to stem cell engineering

@nl

prefLabel

CellNet: network biology applied to stem cell engineering

@ast

CellNet: network biology applied to stem cell engineering

@en

CellNet: network biology applied to stem cell engineering

@nl

P1433

Q34520877-5E5932D3-0715-4AA7-98F8-578A3FEFED03

P1476

Q34520877-F617E0CC-2528-49AC-8356-A43178ED4CB1

P2093

Q34520877-5E20C2ED-F626-4103-AEDB-88F24A463164

Q34520877-7AA82705-5E69-46E3-854C-E2AB7544A152

Q34520877-A19A8158-37C5-4FFB-97F3-62B26200069F

Q34520877-C0E3E4BB-1C61-4F36-A1F1-455494FADB85

P2860

Q34520877-00E9E065-92C4-468F-8E54-65FBEC6EC15C

Q34520877-06EB7B5A-B9E3-44FA-B001-E3B7C2230F88

Q34520877-07CE708E-2E74-484F-8E5C-F9505D597DF3

Q34520877-0D545686-4B88-451C-B70F-DEE8EA86600B

Q34520877-0FBE80B7-F2D3-460C-879F-E230854F00FB

Q34520877-1336F401-AA87-4856-8886-B01AE654C906

Q34520877-1ADA42C5-0321-485D-BA26-CE356E29EFCB

Q34520877-1D596AC9-18A1-4DB8-A987-1BF978D1335C

Q34520877-1FF8C103-A72C-4F28-B034-401AC0B457D5

Q34520877-2047D686-3305-401C-92AD-F9C557FA5CA8

P304

Q34520877-46C69796-9F46-4D17-B6EC-F35EC874B4B2

P31

Q34520877-779A7CD1-3377-484C-B172-64BD8C404F25

P356

Q34520877-CD2CB28F-6806-4F64-975F-8193A0246272

P407

Q34520877-5DE940E2-1D3D-46FC-AA82-D04B7404B3E0

P433

Q34520877-8A07BB4F-F464-4786-B0BA-F7BF4F122B32

P478

Q34520877-6F146E23-48EB-4703-B130-1BC8F259B2F5

P50

Q34520877-362D7D82-EEF8-4831-9A00-35C2B419B94D

Q34520877-3DAD8617-D014-411C-9531-66C82FE9EE80

P577

Q34520877-98601C9A-FABE-463F-AE05-38CE753F62EE

P5875

Q34520877-53AEAB08-16D2-4334-A16A-DEFFE6C8F3CC

P698

Q34520877-FDB4CFCE-8EB5-4A65-BDD5-0A36E9F43506

P932

Q34520877-5D3E5132-5C34-4C44-BEFA-4F9270C057D9

P356

J.CELL.2014.07.020

P1433

P1476

CellNet: network biology applied to stem cell engineering

@en

P2093

Edroaldo Lummertz da Rocha

http://www.w3.org/2001/XMLSchema#string

Hu Li

http://www.w3.org/2001/XMLSchema#string

James J Collins

http://www.w3.org/2001/XMLSchema#string

Samantha A Morris

http://www.w3.org/2001/XMLSchema#string

P2860

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles

PGC-1α, a potential therapeutic target for early intervention in Parkinson's disease

Wisdom of crowds for robust gene network inference

Pioneer transcription factors: establishing competence for gene expression

Direct conversion of fibroblasts to functional neurons by defined factors

Transcription factors MYOCD, SRF, Mesp1 and SMARCD3 enhance the cardio-inducing effect of GATA4, TBX5, and MEF2C during direct cellular reprogramming

Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors

In vivo reprogramming of adult pancreatic exocrine cells to beta-cells

Direct reprogramming of fibroblasts into functional cardiomyocytes by defined factors.

An information-theoretic framework for resolving community structure in complex networks

P304

903-915

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1016/J.CELL.2014.07.020

http://www.w3.org/2001/XMLSchema#string

P407

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

158

http://www.w3.org/2001/XMLSchema#string

P50

George Q. Daley

P577

2014-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

264788909

http://www.w3.org/2001/XMLSchema#string

P698

25126793

http://www.w3.org/2001/XMLSchema#string

P932

4233680

http://www.w3.org/2001/XMLSchema#string