scholarly journals A competitive protein interaction network buffers Oct4‐mediated differentiation to promote pluripotency in embryonic stem cells

2013 ◽  
Vol 9 (1) ◽  
pp. 694 ◽  
Author(s):  
Silvia Muñoz Descalzo ◽  
Pau Rué ◽  
Fernando Faunes ◽  
Penelope Hayward ◽  
Lars Martin Jakt ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Embryonic Stem ◽  
Interaction Network

scholarly journals An Oct4-Centered Protein Interaction Network in Embryonic Stem Cells

2010 ◽  
Vol 6 (4) ◽  
pp. 369-381 ◽  
Author(s):  
Debbie L.C. van den Berg ◽  
Tim Snoek ◽  
Nick P. Mullin ◽  
Adam Yates ◽  
Karel Bezstarosti ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Embryonic Stem ◽  
Interaction Network

scholarly journals Embryonic stem cells: protein interaction networks

2011 ◽  
Vol 2 (1-2) ◽  
pp. 13-25 ◽  
Author(s):  
Patricia Miang-Lon Ng ◽  
Thomas Lufkin
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Transcription Factors ◽  
Embryonic Stem Cells ◽  
Embryonic Stem Cell ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Embryonic Stem ◽  
Interaction Network ◽  
Cell Protein

AbstractEmbryonic stem cells have the ability to differentiate into nearly all cell types. However, the molecular mechanism of its pluripotency is still unclear. Oct3/4, Sox2 and Nanog are important factors of pluripotency. Oct3/4 (hereafter referred to as Oct4), in particular, has been an irreplaceable factor in the induction of pluripotency in adult cells. Proteins interacting with Oct4 and Nanog have been identified via affinity purification and mass spectrometry. These data, together with iterative purifications of interacting proteins allowed a protein interaction network to be constructed. The network currently includes 77 transcription factors, all of which are interconnected in one network. In-depth studies of some of these transcription factors show that they all recruit the NuRD complex. Hence, transcription factor clustering and chromosomal remodeling are key mechanism used by embryonic stem cells. Studies using RNA interference suggest that more pluripotency genes are yet to be discovered via protein-protein interactions. More work is required to complete and curate the embryonic stem cell protein interaction network. Analysis of a saturated protein interaction network by system biology tools can greatly aid in the understanding of the embryonic stem cell pluripotency network.

A protein interaction network for pluripotency of embryonic stem cells

Nature ◽  
2006 ◽  
Vol 444 (7117) ◽  
pp. 364-368 ◽  
Author(s):  
Jianlong Wang ◽  
Sridhar Rao ◽  
Jianlin Chu ◽  
Xiaohua Shen ◽  
Dana N. Levasseur ◽  
...  
Keyword(s):  
Stem Cells ◽  
Embryonic Stem Cells ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Embryonic Stem ◽  
Interaction Network

Construction and analysis of a protein–protein interaction network related to self-renewal of mouse spermatogonial stem cells

2015 ◽  
Vol 11 (3) ◽  
pp. 835-843 ◽  
Author(s):  
Wenhai Xie ◽  
Jin Sun ◽  
Ji Wu
Keyword(s):  
Stem Cells ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Spermatogonial Stem Cells ◽  
Self Renewal ◽  
Protein Protein Interaction ◽  
Reproductive Life ◽  
Protein Protein Interaction Network

Spermatogonial stem cells (SSCs) are responsible for sustained spermatogenesis throughout the reproductive life of the male.

scholarly journals Similarity of regulatory network between leukemia stem cells and normal hemopoietic stem cells

2018 ◽  
Vol 6 (4) ◽  
pp. 129-140
Author(s):  
Zhi-Jian Li ◽  
Xing-Ling Sui ◽  
Xue-Bo Yang ◽  
Wen Sun
Keyword(s):  
Stem Cells ◽  
Gene Ontology ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Interaction Network ◽  
Impact Factors ◽  
Protein Protein Interaction ◽  
Protein Protein Interaction Network

AbstractTo reveal the biology of AML, we compared gene-expression profiles between normal hematopoietic cells from 38 healthy donors and leukemic blasts (LBs) from 26 AML patients. We defined the comparison of LB and unselected BM as experiment 1, LB and CD34+ isolated from BM as experiment 2, LB and unselected PB as experiment 3, and LB and CD34+ isolated from PB as experiment 4. Then, protein–protein interaction network of DEGs was constructed to identify critical genes. Regulatory impact factors were used to identify critical transcription factors from the differential co-expression network constructed via reanalyzing the microarray profile from the perspective of differential co-expression. Gene ontology enrichment was performed to extract biological meaning. The comparison among the number of DEGs obtained in four experiments showed that cells did not tend to differentiation and CD34+ was more similar to cancer stem cells. Based on the results of protein–protein interaction network,CREBBP,F2RL1,MCM2, andTP53were respectively the key genes in experiments 1, 2, 3, and 4. From gene ontology analysis, we found that immune response was the most common one in four stages. Our results might provide a platform for determining the pathology and therapy of AML.

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