02194nas a2200229   4500008004100000022001400041245010600055210006900161260000800230300001000238490000800248520141500256653002501671653001301696653001401709653002301723653002601746100002001772700001901792700002301811856013001834       2022                        eng d  a0168-165600aMathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells0 aMathematical model of the multiamino acid multitransporter syste  cJAN  a40-490 v3443 aSupply and uptake of amino acids is of great importance to mammalian cell culture processes. Mammalian cells such as Chinese hamster ovary (CHO) cells express several amino acid (AA) transporters including uniporters and exchangers. Each transporter transports multiple AAs, making prediction of the effect of changed medium composition or transporter levels on individual AA transport rate challenging. A general kinetic model for such combinatorial amino acid transport, and a simplified analytical expression for the uptake rate as a function of amino acid concentrations and transporter levels is presented. From this general model, a CHO cell-specific AA transport model, to our knowledge the first such network model for any cell type, is constructed. The model is validated by its prediction of reported uptake flux and dependencies from experiments that were not used in model construction or parameter estimation. The model defines theoretical conditions for synergistic/repressive effect on the uptake rates of other AAs upon external addition of one AA. The ability of the CHO-specific model to predict amino acid interdependencies experimentally observed in other mammalian cell types suggests its robustness. This model will help formulate testable hypotheses of the effect of process changes on AA initial uptake, and serve as the AA transport component of kinetic models for cellular metabolism.10aAmino acid transport10aCHO cell10aExchanger10amathematical model10aMultiple transporters1 aSreejan, Ashley1 aGadgil, Mugdha1 aGadgil, Chetan, J.  uhttp://library.ncl.res.in/content/mathematical-model-multi-amino-acid-multi-transporter-system-predicts-uptake-flux-cho-cells02216nas a2200229   4500008004100000022001400041245006300055210006100118260000900179490000800188520152000196653001501716653002301731653002001754653000901774653001801783100002101801700002001822700002301842700002801865856009301893       2022                        eng d  a0016-673100aSUMOylation of dorsal attenuates Toll/NF-kappa B signaling0 aSUMOylation of dorsal attenuates TollNFkappa B signaling  cJUL 0 v2213 a<p>
	In Drosophila, Toll/NF-kappa B signaling plays key roles in both animal development and in host defense. The activation, intensity, and kinetics of Toll signaling are regulated by posttranslational modifications such as phosphorylation, SUMOylation, or ubiquitination that target multiple proteins in the Toll/NF-kappa B cascade. Here, we have generated a CRISPR-Cas9 edited Dorsal (DL) variant that is SUMO conjugation resistant. Intriguingly, embryos laid by dl(SCR) mothers overcome dl haploinsufficiency and complete the developmental program. This ability appears to be a result of higher transcriptional activation by DLSCR. In contrast, SUMOylation dampens DL transcriptional activation, ultimately conferring robustness to the dorso-ventral program. In the larval immune response, dl(SCR) animals show an increase in crystal cell numbers, stronger activation of humoral defense genes, and high cactus levels. A mathematical model that evaluates the contribution of the small fraction of SUMOylated DL (1-5%) suggests that it acts to block transcriptional activation, which is driven primarily by DL that is not SUMO conjugated. Our findings define SUMO conjugation as an important regulator of the Toll signaling cascade, in both development and host defense. Our results broadly suggest that SUMO attenuates DL at the level of transcriptional activation. Furthermore, we hypothesize that SUMO conjugation of DL may be part of a Ubc9-dependent mechanism that restrains Toll/NF-kappa B signaling.</p>
10aDrosophila10ahaploinsufficiency10ainnate immunity10aSUMO10atranscription1 aHegde, Sushmitha1 aSreejan, Ashley1 aGadgil, Chetan, J.1 aRatnaparkhi, Girish, S.  uhttp://library.ncl.res.in/content/sumoylation-dorsal-attenuates-tollnf-kappa-b-signaling02093nas a2200169   4500008004100000022001400041245008200055210006900137260000800206300001200214490000700226520151500233100002001748700002101768700002301789856011101812       2024                        eng d  a1072-050200aNetwork motifs exhibiting a differential response to spaced and massed inputs0 aNetwork motifs exhibiting a differential response to spaced and   cJUL  aa0540120 v313 a<p>
	One characteristic of long-term memory is the existence of an inverted U-shaped response to increasing intervals between training sessions, and consequently, an optimal spacing that maximizes memory formation. Current models of this spacing effect focus on specific molecular components and their interactions. Here, we computationally study the underlying network architecture, in particular, the potential of motif dynamics in qualitatively capturing the spacing effect in a manner that is independent of the animal model, biomolecular components, and the timescales involved. We define a common training and test protocol, and computationally identify network topologies that can qualitatively replicate the experimentally observed characteristics of the spacing effect. For 41 motifs derived from fundamental network architectures such as autoregulation, feedback, and feedforward motifs, we tested their capacity to manifest the spacing effect in terms of an inverted U-shaped response curve, using different combinations of stimulation protocols, response metrics, and kinetic parameters. Our findings indicate that positive feedback motifs where the stimulus enhances conversion reaction in the loop replicate the spacing effect across all response metrics, while feedforward motifs exhibit a metric-specific spacing effect. For some parameter combinations, linear cascades of activation and conversion reactions were found sufficient to qualitatively exhibit spacing effect characteristics.</p>
1 aSreejan, Ashley1 aSaxena, Priyanka1 aGadgil, Chetan, J.  uhttp://library.ncl.res.in/content/network-motifs-exhibiting-differential-response-spaced-and-massed-inputs