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TEAM VARIATION AND TEAM CONVERGENCE AS DRIVERS OF IMPROVISATION IN NEW PRODUCT DEVELOPMENT
Kyriakos Kyriakopoulos,Marcel van Birgelen 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07
Improvisation is an important firm competence in product innovation as firms increasingly face inherent uncertainty in new product development (NPD) process and frequent jolts in the external environment. While there is some empirical and conceptual work on the value of improvisation for several new product outcomes, there is lack of empirical research on the antecedents of improvisation in innovation studies. We attempt to address this gap by studying the role of team variation and team convergence traits in the occurrence of improvisation in a sample of 118 NPD teams from manufacturing firms.
Ang, K.S.,Kyriakopoulos, S.,Li, W.,Lee, D.Y. Academic Press 2016 Methods Vol.102 No.-
In this study, we analyzed multi-omics data and subsets thereof to establish reference codon usage biases for codon optimization in synthetic gene design. Specifically, publicly available genomic, transcriptomic, proteomic and translatomic data for microbial and mammalian expression hosts, Escherichia coli, Saccharomyces cerevisiae, Pichia pastoris and Chinese hamster ovary (CHO) cells, were compiled to derive their individual codon and codon pair frequencies. Then, host dependent and -omics specific codon biases were generated and compared by principal component analysis and hierarchical clustering. Interestingly, our results indicated the similar codon bias patterns of the highly expressed transcripts, highly abundant proteins, and efficiently translated mRNA in microbial cells, despite the general lack of correlation between mRNA and protein expression levels. However, for CHO cells, the codon bias patterns among various -omics subsets are not distinguishable, forming one cluster. Thus, we further investigated the effect of different input codon biases on codon optimized sequences using the codon context (CC) and individual codon usage (ICU) design parameters, via in silico case study on the expression of human IFNγ sequence in CHO cells. The results supported that CC is more robust design parameter than ICU for improved heterologous gene design.
Comparative phenotypic analysis of CHO clones and culture media for lactate shift
Hong, Jong Kwang,Nargund, Shilpa,Lakshmanan, Meiyappan,Kyriakopoulos, Sarantos,Kim, Do Yun,Ang, Kok Siong,Leong, Dawn,Yang, Yuansheng,Lee, Dong-Yup Elsevier 2018 Journal of biotechnology Vol.283 No.-
<P><B>Abstract</B></P> <P>We explored the effects of media and clonal variation on the lactate shift which can be considered as one of the desirable features in CHO cell culture. Various culture profiles with the specific growth and antibody production rates under three different media conditions in two CHO producing clones were evaluated by resorting to multivariate statistical analysis. In most cases, glutamine depletion coincided with lactate consumption, suggesting that glutaminolysis rather than glycolysis was the preferred pathway for the pyruvate supply toward lactate production. With respect to the lactate shift, high performing medium showed higher glutamate uptake, higher aspartate secretion and lower serine uptake compared to other media conditions. In addition, clone itself exhibited the desired lactate consumption more consistently accompanying with distinguishing phenotype. The clone exhibiting lactate shift produced lesser lactate in exponential phase but two-fold higher non-toxic alanine, thus leading to better culture environment. Thus, we understand the balanced selection of clone and media composition enables cells to utilize the metabolic pathways for the desired lactate shift.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Explored the effects of media and clonal variation on the lactate shift in CHO cells. </LI> <LI> Conducted multivariate statistical analysis of various CHO cell cultures. </LI> <LI> Found glutaminolysis as preferred pathway for lactate production by pyruvate supply. </LI> <LI> Understood the balanced selection of clone and media composition for lactate shift. </LI> </UL> </P>
Recon 2.2: from reconstruction to model of human metabolism
Swainston, Neil,Smallbone, Kieran,Hefzi, Hooman,Dobson, Paul D.,Brewer, Judy,Hanscho, Michael,Zielinski, Daniel C.,Ang, Kok Siong,Gardiner, Natalie J.,Gutierrez, Jahir M.,Kyriakopoulos, Sarantos,Laksh Springer US 2016 METABOLOMICS Vol.12 No.7
<P><B>Introduction</B></P><P>The human genome-scale metabolic reconstruction details all known metabolic reactions occurring in humans, and thereby holds substantial promise for studying complex diseases and phenotypes. Capturing the whole human metabolic reconstruction is an on-going task and since the last community effort generated a consensus reconstruction, several updates have been developed.</P><P><B>Objectives</B></P><P>We report a new consensus version, Recon 2.2, which integrates various alternative versions with significant additional updates. In addition to re-establishing a consensus reconstruction, further key objectives included providing more comprehensive annotation of metabolites and genes, ensuring full mass and charge balance in all reactions, and developing a model that correctly predicts ATP production on a range of carbon sources.</P><P><B>Methods</B></P><P>Recon 2.2 has been developed through a combination of manual curation and automated error checking. Specific and significant manual updates include a respecification of fatty acid metabolism, oxidative phosphorylation and a coupling of the electron transport chain to ATP synthase activity. All metabolites have definitive chemical formulae and charges specified, and these are used to ensure full mass and charge reaction balancing through an automated linear programming approach. Additionally, improved integration with transcriptomics and proteomics data has been facilitated with the updated curation of relationships between genes, proteins and reactions.</P><P><B>Results</B></P><P>Recon 2.2 now represents the most predictive model of human metabolism to date as demonstrated here. Extensive manual curation has increased the reconstruction size to 5324 metabolites, 7785 reactions and 1675 associated genes, which now are mapped to a single standard. The focus upon mass and charge balancing of all reactions, along with better representation of energy generation, has produced a flux model that correctly predicts ATP yield on different carbon sources.</P><P><B>Conclusion</B></P><P>Through these updates we have achieved the most complete and best annotated consensus human metabolic reconstruction available, thereby increasing the ability of this resource to provide novel insights into normal and disease states in human. The model is freely available from the Biomodels database (http://identifiers.org/biomodels.db/MODEL1603150001).</P><P><B>Electronic supplementary material</B></P><P>The online version of this article (doi:10.1007/s11306-016-1051-4) contains supplementary material, which is available to authorized users.</P>