Abstract
Regulation of the metabolic homeostasis is a prerequisite for all the animals for their growth and development. Thus, every organism developed strategies to maintain a balance between energy intake and expenditure. The imbalance in metabolism leads to a number of diseases such as obesity, diabetes, cardiovascular diseases and cancer. Besides the existence of structural variation between the organisms, the metabolic pathways are evolutionary conserved. Thus, the study of the metabolic pathways in a model system will help us to understand the role of metabolism in the onset of a disease. Drosophila melanogaster is evolving as an important model to study various metabolic disorders of humanbeing. This organism possesses physiological and metabolic similarity with mammals. Thus, various metabolic components like glucose, trehalose, protein and lipid associated with the fat-sensitive pathways as well as glucose-induced disorder can be checked using the fly model. The current chapter briefly employs various methods to quantify the metabolites from the larval as well as adult Drosophila tissues.
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References
Galgani J, Ravussin E (2009) Energy metabolism, fuel selection and body weight regulation. Int J Obes 32(S7):S109
Moreno-Arriola E, Cárdenas-Rodríguez N, Coballase-Urrutia E, Pedraza-Chaverri J, Carmona-Aparicio L, Ortega-Cuellar D (2014) Caenorhabditis elegans: a useful model for studying metabolic disorders in which oxidative stress is a contributing factor. Oxidative medicine and cellular longevity 2014
Goldsworthy ME, Potter PK (2014) Modelling age-related metabolic disorders in the mouse. Mamm Genome 25(9–10):487–496
Kennedy AJ, Ellacott KL, King VL, Hasty AH (2010) Mouse models of the metabolic syndrome. Dis Model Mech 3(3–4):156–166
de Artinano AA, Castro MM (2009) Experimental rat models to study the metabolic syndrome. Br J Nutr 102(9):1246–1253
Bharucha KN (2009) The epicurean fly: using Drosophila melanogaster to study metabolism. Pediatr Res 65(2):132
Leopold P, Perrimon N (2007) Drosophila and the genetics of the internal milieu. Nature 450(7167):186
Liu X, Hodgson JJ, Buchon N (2017) Drosophila as a model for homeostatic, antibacterial, and antiviral mechanisms in the gut. PLoS Pathog 13(5):e1006277
Apidianakis Y, Rahme LG (2011) Drosophila melanogaster as a model for human intestinal infection and pathology. Dis Model Mech 4(1):21–30
Baker KD, Thummel CS (2007) Diabetic larvae and obese flies—emerging studies of metabolism in Drosophila. Cell Metab 6(4):257–266
Gutierrez E, Wiggins D, Fielding B, Gould AP (2007) Specialized hepatocyte-like cells regulate Drosophila lipid metabolism. Nature 445(7125):275
Dubreuil RR (2004) Copper cells and stomach acid secretion in the Drosophila midgut. Int J Biochem Cell Biol 36(5):742–752
Jennings BH (2011) Drosophila–a versatile model in biology & medicine. Mater Today 14(5):190–195
Roberts DB (2006) Drosophila melanogaster: the model organism. Entomol Exp Appl 121(2):93–103
Owusu-Ansah E, Perrimon N (2014) Modeling metabolic homeostasis and nutrient sensing in Drosophila: implications for aging and metabolic diseases. Dis Model Mech 7(3):343–350
Tennessen JM, Barry WE, Cox J, Thummel CS (2014) Methods for studying metabolism in Drosophila. Methods 68(1):105–115
Bergmeyer J, Grassl M (1974) Methods of enzymatic analysis, 3rd edn, vol I
Chen Q, Ma E, Behar KL, Xu T, Haddad GG (2002) Role of trehalose phosphate synthase in anoxia tolerance and development in Drosophila melanogaster. J Biol Chem 277(5):3274–3279
Hildebrandt A, Bickmeyer I, Kühnlein RP (2011) Reliable Drosophila body fat quantification by a coupled colorimetric assay. PLoS One 6(9):e23796
Rietveld A, Neutz S, Simons K, Eaton S (1999) Association of sterol-and glycosylphosphatidylinositol-linked proteins with Drosophila raft lipid microdomains. J Biol Chem 274(17):12049–12054
Clark A, Gellman W (1985) A rapid spectrophotometric assay of triglycerides in Drosophila. Drosophila Inf Serv 61:190
Grönke S, Beller M, Fellert S, Ramakrishnan H, Jäckle H, Kühnlein RP (2003) Control of fat storage by a Drosophila PAT domain protein. Curr Biol 13(7):603–606
Touchstone JC (1995) Thin-layer chromatographic procedures for lipid separation. J Chromatogr B Biomed Sci Appl 671(1–2):169–195
Van Veldhoven PP, Swinnen JV, Esquenet M, Verhoeven G (1997) Lipase-based quantitation of triacylglycerols in cellular lipid extracts: requirement for presence of detergent and prior separation by thin-layer chromatography. Lipids 32(12):1297–1300
Bradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72(1–2):248–254
Stoscheck CM (1990) [6] Quantitation of protein. In: Methods in enzymology, vol 182. Elsevier, pp 50–68
He F (2011) Bradford protein assay. Bio-protocol 1(6):e45. https://doi.org/10.21769/BioProtoc.45
Smith Pe KRI, Hermanson G, Mallia A, Gartner F, Provenzano M, Fujimoto E, Goeke N, Olson B, Klenk D (1985) Measurement of protein using bicinchoninic acid. Anal Biochem 150(1):76–85
Bainor A, Chang L, McQuade TJ, Webb B, Gestwicki JE (2011) Bicinchoninic acid (BCA) assay in low volume. Anal Biochem 410(2):310–312
Acknowledgements
SM is thankful to MHRD for financial support. MM lab is supported by Grant No. BT/PR21857/NNT/28/1238/2017, EMR/2017/003054, Odisha DBT 3325/ST(BIO)-02/2017.
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Mukherjee, S., Mishra, M. (2020). Biochemical Estimation to Detect the Metabolic Pathways of Drosophila. In: Mishra, M. (eds) Fundamental Approaches to Screen Abnormalities in Drosophila. Springer Protocols Handbooks. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-9756-5_12
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