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10.1186/s12918-015-0169-8 http://scihub22266oqcxt.onion/10.1186/s12918-015-0169-8 C4450992!4450992 !26033487     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26033487 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Syst+Biol 2015 ; 9 (ä): 23 Nephropedia Template TP {{tp|p=26033487 |t=2015. Increased robustness of early embryogenesis through collective decision-making by key transcription factors |pdf=|usr=}}{{26033487 }} gab.com Text Increased robustness of early embryogenesis through collective decision-making by key transcription factors JO: BMC Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=26033487 #FOAvip BACKGROUND: Understanding the mechanisms by which hundreds of diverse cell types develop from a single mammalian zygote has been a central challenge of developmental biology. Conrad H. Waddington, in his metaphoric "epigenetic landscape" visualized the early embryogenesis as a hierarchy of lineage bifurcations. In each bifurcation, a single progenitor cell type produces two different cell lineages. The tristable dynamical systems are used to model the lineage bifurcations. It is also shown that a genetic circuit consisting of two auto-activating transcription factors (TFs) with cross inhibitions can form a tristable dynamical system. RESULTS: We used gene expression profiles of pre-implantation mouse embryos at the single cell resolution to visualize the Waddington landscape of the early embryogenesis. For each lineage bifurcation we identified two clusters of TFs - rather than two single TFs as previously proposed - that had opposite expression patterns between the pair of bifurcated cell types. The regulatory circuitry among each pair of TF clusters resembled a genetic circuit of a pair of single TFs; it consisted of positive feedbacks among the TFs of the same cluster, and negative interactions among the members of the opposite clusters. Our analyses indicated that the tristable dynamical system of the two-cluster regulatory circuitry is more robust than the genetic circuit of two single TFs. CONCLUSIONS: We propose that a modular hierarchy of regulatory circuits, each consisting of two mutually inhibiting and auto-activating TF clusters, can form hierarchical lineage bifurcations with improved safeguarding of critical early embryogenesis against biological perturbations. Furthermore, our computationally fast framework for modeling and visualizing the epigenetic landscape can be used to obtain insights from experimental data of development at the single cell resolution. Twit Text FOAVip Increased robustness of early embryogenesis through collective decision-making by key transcription factors ????BMC Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=26033487 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26033487 #FOAvip English Wikipedia <ref>{{Cite pmid|26033487 }}</ref> Increased robustness of early embryogenesis through collective decision-making by key transcription factors #MMPMID26033487 Sharifi-Zarchi A ; Totonchi M ; Khaloughi K ; Karamzadeh R ; Araúzo-Bravo MJ ; Baharvand H ; Tusserkani R ; Pezeshk H ; Chitsaz H ; Sadeghi M BMC Syst Biol 2015[Jun]; 9 (ä): 23 PMID26033487 show ga BACKGROUND: Understanding the mechanisms by which hundreds of diverse cell types develop from a single mammalian zygote has been a central challenge of developmental biology. Conrad H. Waddington, in his metaphoric "epigenetic landscape" visualized the early embryogenesis as a hierarchy of lineage bifurcations. In each bifurcation, a single progenitor cell type produces two different cell lineages. The tristable dynamical systems are used to model the lineage bifurcations. It is also shown that a genetic circuit consisting of two auto-activating transcription factors (TFs) with cross inhibitions can form a tristable dynamical system. RESULTS: We used gene expression profiles of pre-implantation mouse embryos at the single cell resolution to visualize the Waddington landscape of the early embryogenesis. For each lineage bifurcation we identified two clusters of TFs - rather than two single TFs as previously proposed - that had opposite expression patterns between the pair of bifurcated cell types. The regulatory circuitry among each pair of TF clusters resembled a genetic circuit of a pair of single TFs; it consisted of positive feedbacks among the TFs of the same cluster, and negative interactions among the members of the opposite clusters. Our analyses indicated that the tristable dynamical system of the two-cluster regulatory circuitry is more robust than the genetic circuit of two single TFs. CONCLUSIONS: We propose that a modular hierarchy of regulatory circuits, each consisting of two mutually inhibiting and auto-activating TF clusters, can form hierarchical lineage bifurcations with improved safeguarding of critical early embryogenesis against biological perturbations. Furthermore, our computationally fast framework for modeling and visualizing the epigenetic landscape can be used to obtain insights from experimental data of development at the single cell resolution. |*Embryonic Development [MESH] |*Models, Biological [MESH] |Animals [MESH] |Blastocyst/cytology/metabolism [MESH] |Gene Expression Profiling [MESH] |Mice [MESH] |Single-Cell Analysis [MESH]Increased robustness of early embryogenesis through collective decisio(epmc).pdf DeepDyve Pubget Overpricing