1PT219 Simulations of large deformation during tissue morphogenesis using reversible network reconnection model(The 50th Annual Meeting of the Biophysical Society of Japan)
1PT219 リバーシブル・ネットワーク・リコネクションモデルによる形態形成過程の組織大変形シミュレーション(日本生物物理学会第50回年会(2012年度))

Satoru Okuda, Yasuhiro Inoue, Mototsugu Eiraku, Yoshiki Sasai, Taiji Adachi
2012 Seibutsu Butsuri  
TheBiophysical Society of Japan General IncorporatedAssociation PLS regression. Finally, we obtained four principal component dimensions characterizing characterize some phenotypes, This data driven approach is effective to identify undefined aspects ofcomp]ex temporal signal transduction networks. lpT21s nmatazamis,u:LIEmvJK.zmm-*vFv-oopptM Synthetic bioLogy of stem eells: creating artificial gene network of"differentiation" S"mire Onot, Reiko Okurai, Yuichi Wakamoto2'3 (iGrad, Sch. Arts and
more » ... ad, Sch. Arts and Slri., [1}iiv. Tbdyo,2Research Clenter for Complex Sy,stems Biology, [1}iiv qf Tbkyo, ithSTPRESTO) Stern ce]ls can diffeTentlate spontaneously and irreversibly, producing a variety ofdifferentiated cetls in context-dependent manners. It remains to be resolved what kind of fundamental characteristics of intracellu]ar network enable sueh remarkable attributes of stem cells. Recent]y, Goto and Kaneke have proposed a dynamical systems model ofstem cells that can explain spontaneous bifurcation ofcellular states using two-gene regulatory network. In this model. a "diffusible inducer"causescellularinteraction,leadingtocoexistenceoftwoccl]ularstates. The simplicity of the regu]ation proposeci in the model shou]d allow us to synthesize such regulatory network artificia]ly and theTeby test the hypothesis regarding the stem ce]] gene networks, Inspired by this theoretical study, we aim to construct an Escherichia coli strain that possesses an artificial gene regulatory network equivalent te the scheme presented in the rnodel. To realize ce]lu]ar interaction through diffusib]e inducer, we utilized the lux operon of P:fbriofischeri. However, the original ]ux eperon has positive regulation wheTeas the inducer acts ncgatively in the proposed model. For this reason, we designed the actual network with three genes instead oftwo in a manner that tet operon mediates the lux operon's functien. T7 RNA Polyrnerase system and the lac operon were also used for regulation. RFP and YFP were a]so intreduced as reporters for the activities ofthe sub-networks. The results and the perspective will be discussed in this meeting. IPT216 this model the network of three genes is assumed; the network is composed of gene A which maintains the pluripotent state, gene B which induces the differentiation to one 1ineage, and gene C which induces the differentiation to the other lineage. Each TF synthesized from each ofgene A, B, and C is assumed to mutually represses the expression of other genes. We analyze how the difTerence between the rate of the TF bindingtunbinding and the rate of the histone methytationldemethyiationaffectstheprocessoftransitionsamongthecellstates. 1PT218 Chikara Fllrusawa Uhiv. 7bkyo) Two important problems in stem cell biology are how to characterize the difference in cellular states between undifferentiated stem celis and terminally differentiated cells, and how to understand the dynamics of cell reprogramrning i'rom terminally differentiated ce]]s to undifferentiated cel]s, ln th{s study. to answer these questions, we have canied out a dynamica: systems rnodeling of interacting ce]ls with a gene regulatory network to reveal stem ce]1 di fferentiation triggered by the ceN-ee]] interactions. We have simu]ated cet]ular dynamics using gene regulatory networks with a smal] number of genes (e.g, less than 10). and screened regulatory networks that can generate cell-type heterogeneity through cel]-cell interaction by using genetic algorithrn sirnulations. The results revea]ed that expression dynarnics of cells that have potential to difTbrentiate Oe. stem cells) genera]ly show irregular (chaotic) oscillation, whereas such complex oscillation is ]ost for terminal]y differentiated cell types, Furthermore, we found that, to reprogTam terminally differentiated cells to undifferentiated ce]ls, a perturbation to genes which are pesitively autoregulated by its products is important. The emeTgence of stable cellular states that are not chosen by norma] development and its relevance to cancer ce]]s will also be discussed. mapmhftoph\mE7-Jv:gmtsfisvaEtmamu7merJE;,ti OMnetNfitiZ A dynamical system modeLing of cel] differentiation for understanding of robust deyelopment and cell reprogramming ], Kunihiko Kaneko2 (ieBiC, RIKENL 2Dept. Basic Sci., Mitsuru Nakamura, and 7lechnology, Localizatienofbio-mo]ecu]esplayscentralrolesinthespecificationefcel]fates and morphogenesis in the e]nbryogenesis. For this reason, to trace the distribution of bio-mo]ecules, especially, mRNAs and proteins, is one of the major issues in deve]opmental biology. In current study, genetic manipulation can be used to observe molecular distribution through the use of fluoresceinlabeling molecules. This technique, however. can resu]t in phenotypic changes, need prior identjfication of target mo]ecules, and the number of labels applicable is ]imited. Raman speetroscopy, in contrast, is a low-invasive and L'labe]-free'" technique. allowing imaging of the d{stribution of the number of bie-molecuLes, including molecu]es without prior identification, In this study on the Ciona intestinalis embryogenesis, we explore the app]ication of Raman spectroscopy within the deve]eprnenta] proeess to investigate the distribution of bio-molecules without labeling. We applied Raman spectroscopy to collect the spectra scattered from Ciona embryo at sing]e-cell resolution for early deve]opmentar stages. Afier the spectrat anaiysis, wc succeeded to detect vegetal hemisphere-specific localization of sorne blo-motecules and its localization is similar to maternal factors, This result suggests that Raman spectToscop{e imaging in low-invasive and label-free manneT on the spatial distribution of bio-molecules is feasib]e to investigate for developmenta[ studies in Ciona intestinalis. hS=VV(rtVMreStC6[JUJ7Ydivautt[SUmavapa"I ¢ ttdiDetection of bio-molecules localized in specific cetls of Ciona intestinalts embryo
doi:10.2142/biophys.52.s105_5 fatcat:3fy42g2vgnewfadohmhe3zqjlq