Academic literature on the topic 'Evolutionary biology not elsewhere classified'
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Journal articles on the topic "Evolutionary biology not elsewhere classified"
Belaganahalli, M., S. Maan, and P. P. C. Mertens. "Caractérisation génétique des virus Tilligerry et Mitchell River." Revue d’élevage et de médecine vétérinaire des pays tropicaux 62, no. 2-4 (February 1, 2009): 151. http://dx.doi.org/10.19182/remvt.10060.
Full textGiovannelli, Donato, and Costantino Vetriani. "From extreme environments to human pathogens: an evolutionary journey." Biochemist 39, no. 6 (December 1, 2017): 4–9. http://dx.doi.org/10.1042/bio03906004.
Full textMeyer, Stephen C. "Do Christians Need to Reconcile Evolutionary Theory and Doctrines of Divine Providence and Creation?" Philosophia Christi 22, no. 1 (2020): 63–74. http://dx.doi.org/10.5840/pc20202215.
Full textRothschild, Lynn J. "The evolution of photosynthesis…again?" Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1504 (May 16, 2008): 2787–801. http://dx.doi.org/10.1098/rstb.2008.0056.
Full textChela-Flores, J. "Testing the universality of biology: a review." International Journal of Astrobiology 6, no. 3 (June 11, 2007): 241–48. http://dx.doi.org/10.1017/s1473550407003795.
Full textWu, Tao, Lu Xiong, Fuli Wang, Xiaozhen Xu, Jiao Wang, Feng Lin, Chunhua Li, Ling Lu, and Yuanping Zhou. "A Unique Pattern of HCV Genotype Distribution on Hainan Island in China Revealed by Evolutionary Analysis." Cellular Physiology and Biochemistry 39, no. 1 (2016): 316–30. http://dx.doi.org/10.1159/000445626.
Full textAnjard, Christophe, and William F. Loomis. "Evolutionary Analyses of ABC Transporters of Dictyostelium discoideum." Eukaryotic Cell 1, no. 4 (August 2002): 643–52. http://dx.doi.org/10.1128/ec.1.4.643-652.2002.
Full textShaw, John. "Geomorphic Evidence of Postglacial Terrestrial Environments on Atlantic Canadian Continental Shelves." Géographie physique et Quaternaire 59, no. 2-3 (April 4, 2007): 141–54. http://dx.doi.org/10.7202/014752ar.
Full textChannon, Alastair. "Maximum Individual Complexity is Indefinitely Scalable in Geb." Artificial Life 25, no. 2 (May 2019): 134–44. http://dx.doi.org/10.1162/artl_a_00285.
Full textLane, Nick, William F. Martin, John A. Raven, and John F. Allen. "Energy, genes and evolution: introduction to an evolutionary synthesis." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1622 (July 19, 2013): 20120253. http://dx.doi.org/10.1098/rstb.2012.0253.
Full textDissertations / Theses on the topic "Evolutionary biology not elsewhere classified"
Al-Khawaja, Nasreen. "Quality of life, biomarkers, and involvement of ghrelin in women with breast cancer." Thesis, University of Central Lancashire, 2015. http://clok.uclan.ac.uk/16593/.
Full textHatchell, Hayley. "The relationship between docohexanoic acid (DHA) and L-serine, providing an insight into the biochemistry of meningioma." Thesis, University of Central Lancashire, 2017. http://clok.uclan.ac.uk/23985/.
Full textMitchell, Anthony Frank. "An investigation into the microbial bioconversion of cellulosic waste." Thesis, University of Central Lancashire, 1986. http://clok.uclan.ac.uk/19063/.
Full text(6554648), Ryan D. Calvert. "DIETARY MODULATION OF MYELOID DERIVED SUPPRESSOR CELL BIOLOGY IN PATHOPHYSIOLOGY AND PHYSIOLOGY." Thesis, 2019.
Find full text(5931173), Jessica Merkling. "Development of an Environmental DNA Assay for Eastern Massasauga." Thesis, 2019.
Find full text(9757040), Lina M. Aboulmouna. "Towards cybernetic modeling of biological processes in mammalian systems—lipid metabolism in the murine macrophage." Thesis, 2020.
Find full textRegulation of metabolism in mammalian cells is achieved through a complex interplay between cellular signaling, metabolic reactions, and transcriptional changes. The modeling of metabolic fluxes in a cell requires the knowledge of all these mechanisms, some of which may be unknown. A cybernetic approach provides a framework to model these complex interactions through the implicit accounting of such regulatory mechanisms, assuming a biological “goal”. The goal-oriented control policies of cybernetic models have been used to predict metabolic phenomena ranging from complex substrate uptake patterns and dynamic metabolic flux distributions to the behavior of gene knockout strains. The premise underlying the cybernetic framework is that the regulatory processes affecting metabolism can be mathematically formulated as a cybernetic objective through variables that constrain the network to achieve a specified biological “goal”.
Cybernetic theory builds on the perspective that regulation is organized towards achieving goals relevant to an organism’s survival or displaying a specific phenotype in response to a stimulus. While cybernetic models have been established by prior work carried out in bacterial systems, we show its applicability to more complex biological systems with a predefined goal. We have modeled eicosanoid, a well-characterized set of inflammatory lipids derived from arachidonic acid, metabolism in mouse bone marrow derived macrophage (BMDM) cells stimulated by Kdo2-Lipid A (KLA, a chemical analogue of Lipopolysaccharide found on the surface of bacterial cells) and adenosine triphosphate (ATP, a danger signal released in response to surrounding cell death) using cybernetic control variables. Here, the cybernetic goal is inflammation; the hallmark of inflammation is the expression of cytokines which act as autocrine signals to stimulate a pro-inflammatory response. Tumor necrosis factor (TNF)-α is an exemplary pro-inflammatory marker and can be designated as a cybernetic objective for modeling eicosanoid—prostaglandin (PG) and leukotriene (LK)—metabolism. Transcriptomic and lipidomic data for eicosanoid biosynthesis and conversion were obtained from the LIPID Maps database. We show that the cybernetic model captures the complex regulation of PG metabolism and provides a reliable description of PG formation using the treatment ATP stimulation. We then validated our model by predicting an independent data set, the PG response of KLA primed ATP stimulated BMDM cells.
The process of inflammation is mediated by the production of multiple cytokines, chemokines, and lipid mediators each of which contribute to specific individual objectives. For such complex processes in mammalian systems, a cybernetic objective based on a single protein/component may not be sufficient to capture all the biological processes thereby necessitating the use of multiple objectives. The choice of the objective function has been made by intuitive considerations in this thesis. If objectives are conjectured, an argument can be made for numerous alternatives. Since regulatory effects are estimated from unregulated kinetics, one encounters the risk of multiplicity in this regard giving rise to multiple models. The best model is of course that which is able to predict a comprehensive set of perturbations. Here, we have extended our above model to also capture the dynamics of LKs. We have used migration as a biological goal for LK using the chemoattractant CCL2 as a key representative molecule describing cell activation leading to an inflammatory response where a goal composed of multiple cybernetic objectives is warranted. Alternative model objectives included relating both branches of the eicosanoid metabolic network to the inflammatory cytokine TNF-α, as well as the simple maximization of all metabolic products such that each equally contributes to the inflammatory system outcome. We were again able to show that all three cybernetic objectives describing the LK and PG branches for eicosanoid metabolism capture the complex regulation and provide a reliable description of eicosanoid formation. We performed simulated drug and gene perturbation analyses on the system to identify differences between the models and propose additional experiments to select the best cybernetic model.
The advantage to using cybernetic modeling is in its ability to capture system behavior without the same level of detail required for these interactions as standard kinetic modeling. Given the complexity of mammalian systems, the cybernetic goal for mammalian cells may not be based solely on survival or growth but on specific context dependent cellular responses. In this thesis, we have laid the groundwork for the application of cybernetic modeling in complex mammalian systems through a specific example case of eicosanoid metabolism in BMDM cells, illustrated the case for multiple objectives, and highlighted the extensibility of the cybernetic framework to other complex biological systems.
(6848951), Matthew C. Pharris. "Quantitative Models of Calcium-Dependent Protein Signaling in Neuronal Dendritic Spines." Thesis, 2019.
Find full textBiochemical signaling at the connections between neurons, called synapses, regulates dynamic shifts in a synapse’s size and connective strength. Called synaptic plasticity, these shifts are initiated by calcium ion (Ca2+) flux into message-receiving structures called dendritic spines. Within dendritic spines, Ca2+ binds sensor proteins such as calmodulin (CaM). Importantly, Ca2+/CaM may bind and activate a wide variety of proteins, which subsequently facilitate signaling pathways regulating the dendritic spine’s size and connective strength.
In this thesis, I use computational models to characterize molecular mechanisms regulating Ca2+-dependent protein signaling within the dendritic spine. Specifically, I explore how Ca2+/CaM differentially activates binding partners and how these binding partners transduce signals downstream. For this, I present deterministic models of Ca2+, CaM, and CaM-dependent proteins, and in analyzing model output I demonstrate in-part that competition for CaM-binding alone may be sufficient to set the Ca2+ frequency-dependence of protein activation. Subsequently, I adapt my deterministic models into particle-based, spatial-stochastic frameworks to quantify how spatial effects influence model output, showing evidence that spatial gradients of Ca2+/CaM may set spatial gradients of activated proteins downstream. Additionally, I incorporate into my models the most detailed model to-date of Ca2+/CaM-dependent protein kinase II (CaMKII), a multi-subunit protein essential to synaptic plasticity. With this detailed model of CaMKII, my analysis suggests that the many subunits of CaMKII provide avidity effects that significantly increase the protein’s effective affinity for binding partners, particularly Ca2+/CaM. Altogether, this thesis provides a detailed analysis of Ca2+-dependent signaling within dendritic spines, characterizing molecular mechanisms that may be useful for the development of novel therapeutics for patients of neurological disorders.
(8815928), Samantha Jurecki. "APPLICATION AND VALIDATION OF THE EDNA-METABARCODED MIFISH/MITOFISH PIPELINE FOR ASSESSMENT OF NATIVE AND NON-NATIVE FISH COMMUNITIES OF LAKE MICHIGAN." Thesis, 2020.
Find full text(10676388), Madeline Sheeley. "Regulation of Energy Metabolism in Extracellular Matrix Detached Breast Cancer Cells." Thesis, 2021.
Find full textBreast cancer is the predominant cancer diagnosed among women, and the second most deadly cancer. The vast majority of cancer-related deaths is caused by the metastatic spread of cancer from the primary tumor to a distant site in the body. Therefore, new strategies which minimize breast cancer metastasis are imperative to improve patient survival. Cancer cells which acquire anchorage independence, or the ability to survive without extracellular matrix attachment, and metabolic flexibility have increased potential to metastasize. In the present studies, the ability to survive detachment and subsequent metabolic changes were determined in human Harvey-ras transformed MCF10A-ras breast cancer cells. Detachment resulted in reduced viability in a time-dependent manner with the lowest cell viability observed at forty hours. In addition, decreased cell viability was observed in both glutamine and glucose depleted detached conditions, suggesting a dependence on both nutrients for detached survival. Compared to attached cells, detached cells had reduced total pool sizes of pyruvate, lactate, α-ketoglutarate, fumarate, malate, alanine, serine, and glutamate, suggesting the metabolic stress which occurs under detached conditions. However, intracellular citrate and aspartate pools were unchanged, demonstrating a preference to maintain these pools in detached conditions. Compared to attached cells, detached cells had suppressed glutamine metabolism, as determined by decreased glutamine flux into the TCA cycle and reduced mRNA abundance of glutamine metabolizing enzymes. Further, detached glucose anaplerosis through pyruvate dehydrogenase activity was decreased, while pyruvate carboxylase (PC) expression and activity were increased. A switch in metabolism was observed away from glutamine anaplerosis to a preferential utilization of PC activity to replenish the TCA cycle, determined by reduced PC mRNA abundance in detached cells treated with a cell-permeable analog of α-ketoglutarate, the downstream metabolite of glutamine which enters the TCA cycle. These results suggest that detached cells elevate PC to increase flux of carbons into the TCA cycle when glutamine metabolism is reduced.
Vitamin D is recognized for its role in preventing breast cancer progression, and recent studies suggest that regulation of energy metabolism may contribute to its anticancer effects. Vitamin D primarily acts on target tissue through its most active metabolite, 1α,25-dihydroxyvitamin D (1,25(OH)2D). The present work investigated 1,25(OH)2D’s effects on viability of detached cells through regulation of energy metabolism. Treatment of MCF10A-ras cells with 1,25(OH)2D resulted in decreased viability of detached cells. While 1,25(OH)2D treatment did not affect many of the glucose metabolism outcomes measured, including intracellular pyruvate and lactate pool sizes, glucose flux to pyruvate and lactate, and mRNA abundance of enzymes involved in glucose metabolism, 1,25(OH)2D treatment reduced detached PC expression and glucose flux through PC. A reduction in glutamine metabolism was observed with 1,25(OH)2D treatment, although no 1,25(OH)2D target genes were identified. Further, PC depletion by shRNA decreased cell viability in detached conditions with no additional effect with 1,25(OH)2D treatment. Moreover, PC overexpression resulted in increased detached cell viability and inhibited 1,25(OH)2D’s negative effects on viability. These results suggest that 1,25(OH)2D reduces detached cell viability through regulation of PC. Collectively this work identifies a key metabolic adaptation where detached cells increase PC expression and activity to compensate for reduced glutamine metabolism and that 1,25(OH)2D may be utilized to reverse this effect and decrease detached cell viability. These results contribute to an increased understanding of metastatic processes and the regulation of these processes by vitamin D, which may be effective in preventing metastasis and improve breast cancer patient survival.
Nguyen, Van-Tuong. "An implementation of the parallelism, distribution and nondeterminism of membrane computing models on reconfigurable hardware." 2010. http://arrow.unisa.edu.au:8081/1959.8/100802.
Full textThesis (PhDInformationTechnology)--University of South Australia, 2010
Books on the topic "Evolutionary biology not elsewhere classified"
Plutynski, Anya. Explaining Cancer. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199967452.001.0001.
Full textBook chapters on the topic "Evolutionary biology not elsewhere classified"
Marcus, Bernard. "Islands in the Sky and Elsewhere." In SpringerBriefs in Evolutionary Biology, 33–40. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6126-6_5.
Full text"Cutthroat Trout: Evolutionary Biology and Taxonomy." In Cutthroat Trout: Evolutionary Biology and Taxonomy, edited by Gary H. Thorgaard, Kevin R. Bestgen, Eric J. Loudenslager, and Paul A. Wheeler. American Fisheries Society, 2018. http://dx.doi.org/10.47886/9781934874509.ch5.
Full textBronstein, Judith L. "Mutualisms." In Evolutionary Ecology. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195131543.003.0031.
Full textKramer, Donald L. "Foraging Behavior." In Evolutionary Ecology. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195131543.003.0024.
Full textOkasha, Samir. "5. Species and classification." In Philosophy of Biology: A Very Short Introduction, 63–82. Oxford University Press, 2019. http://dx.doi.org/10.1093/actrade/9780198806998.003.0005.
Full textScholtz, Gerhard. "Duplicated, Twisted, and in the Wrong Place." In Developmental Biology and Larval Ecology, 113–42. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190648954.003.0004.
Full textMaun, M. Anwar. "Seed dispersal." In The Biology of Coastal Sand Dunes. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780198570356.003.0008.
Full textVindenes, Yngvild, Christie Le Coeur, and Hal Caswell. "Introduction to matrix population models." In Demographic Methods across the Tree of Life, 163–80. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198838609.003.0009.
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