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Friday, April 5, 2019

Measuring Cytotoxicity in HepG2 Cells

Measuring Cytotoxicity in HepG2 mobile phonesMeasuring cytotoxicity in HepG2 jail cells treat with cisplatin or 5-fluorouracil, via menses cytometry as a saloon of effectiveness of the drugs at treating push asidecerIntroductionCytotoxicity is the quality of being toxic to cells, resulting in cell death (Rang et al. 2012). In the majority of therapeutics cytotoxicity is not a desirable characteristic. However, in the treatment of cancer many chem new(prenominal)apy drugs, through cytotoxicity ar designed to selectively induce apoptosis, a blueprint of cell death (Rang et al. 2012).There are three main impresss of cell death, these are apoptosis, autophagy and necrosis. caspase-mediated cell death is the physiological process by which cells are destroyed in a controlled manner (El more 2007). There are quaternary basic steps involved the first is cell shrinkage, blebs begin to form and condensation of chromatin occurs. Next, membrane blebbing occurs and enzymes begin th e process of thermonuclear fragmentation. In the late stages of apoptosis, the cell is broken down into apoptotic bodies which contain the cells components and nuclear fragments. The final stage is the phagocytosis of apoptotic bodies (Ulukaya et al. 2011).One of the main ways in which phagocytes recognise apoptotic cells is the dedicateation of phosphatidylserine (PS). Ordinarily, this phospholipid is found on the inner leaflet of the membrane bilayer, during apoptosis it translocates to the outer leaflet and binds to a PS receptor present on the phagocyte (Wu et al. 2006).In autophagy, targeted components such as organelles are isolated in an autophagosome a form of vesicle with a lipid bilayer membrane. These autophagosomes are degraded by lysosomes (Kroemer, G et al. 2009).Necrosis is often impression of as uncontrolled cell death. However, in that location is an increasing derive of evidence that suggests it is regulated by transduction pathways and other mechanisms (Kroem er, G et al. 2009). It is ca wontd by occurrenceors such as trauma, infection and toxins. It is characterised by the swelling of cells which causes the cell membrane to rupture, resulting in the release of intracellular components. These intracellular components can trigger a local inflammatory response. In pipeline to apoptosis, the phagocytic stage does not occur in necrosis (Golstein, Pierre and Kroemer, Guido 2007). As a result, exsanguine cells and their intracellular components remain at the site of necrosis, this build-up of debris may lead to conditions such as gangrene. delinquent to its detrimental effects, its preferential that necrosis is not produced by therapeutics.Cisplatin and 5-fluorouracil are chemotherapy agents, which both cause apoptosis by interfering with desoxyribonucleic acid via its replication and repair. Cisplatin crosslinks with purine bases in DNA which interferes with DNA repair mechanisms, this conveys that DNA damage is not fixed triggering apop tosis (Dasari and Bernard Tchounwou 2014). 5-flurouracil is an an clippingtabolite, it is metabolised into 5-fluorodeoxyuridine monophosphate (5-FdUMP) which is then incorporated into both DNA and ribonucleic acid and besides inhibits thymidilate synthase (Parker and Stivers 2011).HepG2 cells are derived from the hepatocellular carcinoma cells of a 15 year old, American, Caucasian, male and are epithelial in nature. They are normally used as an in vitro model of human hepatocellular carcinoma (Costantini et al. 2013).Flow cytometry is a powerful tool that allows for the quick speciality and characterisation of procedureicles including cells. A flow cytometer is made up of three main components fluidics, optics and electronics. When a judge is injected into a flow cytometer, the fluidics system is responsible for producing a stream of single particles, this relies on the principle of laminar flow. This allows the particles to be interrogated by the laser beam individually. When a particle passes through the laser beam it scatters light. The amount of forward scatter is proportional to the size of the cell. The side scatter is proportional to the complexity of the cell. If a fluorophore is present, it can be excited by a specific wavelength of light. It will then undergo a Stokes coggle and a different wavelength of light will be emitted which can be measu rubicund by the electronics of the flow cytometer (Macey 2007, Maxwell and Hannon-Fletcher 2009). The fluorophore can be conjugated with proteins such as annexin V which have a cognise high affinity to specific molecules present on the cell surface.Annexin V is a 35.7kDa, calcium sensitive, phospholipid grooming protein. It has a high affinity to phosphatidylserine. The binding of fluorophore labelled annexin V is used as a mutual measure of apoptotic cells by flow cytometry (van Genderen et al. 2008).AimsTo measure the effectiveness of two anti-cancer drugs by measuring the level of apoptosis in a po pulation of HepG2 cells afterwards being treated with cisplatin (15g/mL) or 5-fluorouracil (25g/mL) for 48 hours and compare those to a population of untreated cells via flow cytometry.ObjectivesTo count and fix a population of HepG2 cells onward stigmaing them with fluorescently labelled Annexin V in preparation for analysis apply a flow cytometer.To measure the level of fluorescence in 5000 treated and untreated cells using a flow cytometer as well as measuring the minimal and maximal fluorescence in a shun and positive control.Based on the fact the fluorescence is directly proportional to apoptosis determine which treatment is significantly better and provide evidence from the lit as to why this is the case.MethodsPlease refer to laboratory schedule (Hatch 2014). Following the collection of info descriptive statistics and a one-way ANOVA test were carried out the results of which can be found in the appendix.ResultsThe negative control was used to identify if there was any background fluorescence. In table 1 (found in the appendix) the mean fluorescence for the negative control was 144. Therefore, fluorescence that is significantly higher than this level can be attributed to the excitation of the fluorophore (Alexa 488). traffic pattern 1 Cytotoxicity of HepG2 cells measured as fluorescence using flow cytometry. The bars are means of triplicates, the standard fallacy has been used for the error bars. *statistically significant compared to control (blue for negative, red for positive), pIn figure 1, a greater level of fluorescence was seen for the samples treated with cisplatin and 5-fluorouracil compared to that of the untreated sample. Cisplatin produced the greatest level of fluorescence of the two treated samples.DiscussionThe data used was a class set, some of the data provided was produced by those running the laboratory session as some samples did not contain a pellet which was needed to run the flow cytometry analysis.The five sets of data we re compared with one another, it was found that the releases were statistically significant (pAs mentioned in results, cisplatin showed a greater mean fluorescence compared to 5-fluorouracil, Results were 726 and 540 respectively. see as fluorescence is directly proportional to phosphotidylserine expression, which in turn is a direct measure of apoptosis. It can be assumed that cisplatin produced the highest level of apoptosis and is most cytotoxic to HepG2 cells. Although a higher concentration of the drugs were used (150g/mL) this result has besides been seen in the literature (Brenes et al. 2007).Although it was not stained with annexin V, the negative control showed a mean fluorescence of 144 this is due to auto fluorescence of the cells. The fluorophore which was conjugated with annexin V was Alexa 488. It fluoresces at a wavelength of 488nm, this is within the greenish part of the spectrum.It is well documented that molecules found within all cells, including hepatocytes a lso fluoresce at a green wavelength, the most notable of these are flavins which fluoresce at around 560nm (Croce, Anna Cleta et al. 2007, Croce, Anna C et al. 2014). FAD (flavin adenine dinucleotide) is an deterrent example of a flavin and is a redox cofactor used in metabolism. HepG2 cells are a liver carcinoma cell line. collectable to their cancerous nature there would be a high level of metabolism within these cells and hence, a high level of FAD.The low level of fluorescence seen in the untreated sample is expected as there should be no apoptosis induced by cytotoxicity. Therefore, it is not surprising that the difference between the fluorescence of the untreated sample and the negative control and the treated samples is less statistically significant.In this experiment, only one stain was used in this experiment (Annexin V), this allows for the identification of cells that are cytotoxic. To evaluate the true effectiveness of a chemotherapy drug, the cell viability and necro sis is also needed. Necrosis and late stage apoptosis can be measured using propidium iodide (PI). PI binds to nucleic acids and is impermeable to intact membranes, it is often used in combination with annexin V as it fluoresces red and there is little overlap between the wavelengths of red and green light. Therefore, compensation is not needed after flow cytometry has been carried out.It has been observed in the literature that the cytotoxicity of 5-fluorouracil is dependent on both dose and exposure time (Okamura et al. 2008). We only looked at one dose and exposure time for both drugs. It has also been observed that the use of cisplatin in combination with 5-fluorouracil or other chemotherapy drugs has a synergistic and additive effect in hepatocarcinoma cell lines (Kogure et al. 2004), both of these could be investigated further is the experiment were carried out again.ConclusionIn conclusion, cisplatin was shown to produce a higher level of apoptosis in HepG2 cells than 5-fluo rouracil. However, to fully evaluate the effectiveness of an anti-cancer agent, measures of viability and necrosis are also needed.The differences between the two drugs may be due to the different mechanisms by which the drugs work. The introduction of 5-dUMP into DNA and RNA is a more subtle mechanism compared to the cross-linking of DNA via cis-platin. This cross-linking may be detected by cells more readily resulting in higher levels of apoptosis. As HepG2 cells were used, these results may only be the case for hepatocellular carcinomas.ReferencesBrenes, O., Arce, F., Gtjens-Boniche, O., and Daz, C. (2007) Characterization of Cell death Events Induced by Anti-Neoplastic Drugs Cisplatin, Paclitaxel and 5-Fluorouracil on Human Hepatoma Cell Lines workable Mechanisms of Cell Resistance. Biomedicine pharmacotherapy = Biomdecine pharmacothrapie 61 (6), 34755Costantini, S., Di Bernardo, G., Cammarota, M., Castello, G., and Colonna, G. (2013) Gene Expression Signature of Human HepG2 Cell Line. Gene 518 (2), 33545Croce, A.C., Ferrigno, A., Santin, G., Piccolini, V.M., Bottiroli, G., and Vairetti, M. (2014) Autofluorescence of Liver Tissue and Bile Organ Functionality Monitoring during Ischemia and Reoxygenation. Lasers in surgery and medicine 46 (5), 41221Croce, A.C., De Simone, U., Vairetti, M., Ferrigno, A., and Bottiroli, G. (2007) Autofluorescence Properties of Rat Liver under Hypermetabolic Conditions. Photochemical photobiological sciences Official journal of the European Photochemistry Association and the European Society for Photobiology 6 (11), 12029Dasari, S. and Bernard Tchounwou, P. (2014) Cisplatin in Cancer Therapy Molecular Mechanisms of Action. European journal of pharmacology 740, 364378Elmore, S. (2007) Apoptosis A Review of Programmed Cell Death. Toxicologic pathology 35 (4), 495516Van Genderen, H.O., Kenis, H., Hofstra, L., Narula, J., and Reutelingsperger, C.P.M. (2008) Extracellular Annexin A5 Functions of Phosphatidylserine-Binding and T wo-Dimensional Crystallization. Biochimica et biophysica acta 1783 (6), 95363Golstein, P. and Kroemer, G. (2007) Cell Death by Necrosis Towards a Molecular Definition. Trends in biochemical sciences 32 (1), 3743Hatch, E. (2014) M19BMS Laboratory Schedule. Coventry UniversityKogure, T., Ueno, Y., Iwasaki, T., and Shimosegawa, T. (2004) The Efficacy of the Combination Therapy of 5-Fluorouracil, Cisplatin and Leucovorin for Hepatocellular Carcinoma and Its Predictable Factors. Cancer chemotherapy and pharmacology 53 (4), 296304Kroemer, G., Galluzzi, L., Vandenabeele, P., Abrams, J., Alnemri, E.S., Baehrecke, E.H., Blagosklonny, M. V, El-Deiry, W.S., Golstein, P., Green, D.R., Hengartner, M., Knight, R.A., Kumar, S., Lipton, S.A., Malorni, W., Nuez, G., Peter, M.E., Tschopp, J., Yuan, J., Piacentini, M., Zhivotovsky, B., and Melino, G. (2009) sort of Cell Death Recommendations of the Nomenclature Committee on Cell Death 2009. Cell death and differentiation 16 (1), 311Macey, M.G. (2007) Flow Cytometry Principles and Applications. ed. by Macey, M.G. Humana Press, IncMaxwell, P. and Hannon-Fletcher, M. (2009) Advanced Techniques in Diagnostic Cellular Pathology. in Advanced Techniques in Diagnostic Cellular Pathology. Hoboken Wiley, 6997Okamura, M., Shimada, J., and Sakagami, H. (2008) Comparative Analysis of Cell Death Induction by Cisplatin and 5-FU in Human Oral Squamous and Hepatocellular Carcinoma Cell Lines. Anticancer research 260, 253259Parker, J.B. and Stivers, J.T. (2011) Dynamics of atomic number 92 and 5-Fluorouracil in DNA. Biochemistry 50 (5), 6127Rang, H., Dale, M., Ritter, M., Flower, R., and Henderson, G.. (2012) Anticancer Drugs. in Rang and Dales Pharmacology. 7th edn. Elesevier, 676677Ulukaya, E., Acilan, C., and Yilmaz, Y. (2011) Apoptosis Why and How Does It clear in Biology?. Cell biochemistry and function 29 (6), 46880Wu, Y., Tibrewal, N., and Birge, R.B. (2006) Phosphatidylserine Recognition by Phagocytes A realise to a Kill. Trends in cel l biology 16 (4), 18997Appendix put off 1 Table showing mean fluorescence for each sample where 1.00 represents the negative control, 2.00 represents the positive control, 3.00 the untreated sample, 4.00 the sample treated with cisplatin, 5.00 with 5-fluorouracilN compressedStd. DeviationStd. erroneousness95% Confidence Interval for MeanMinimum maximum cast down BoundUpper Bound1.003144.333311.930356.88799114.6967173.9700136.00158.002.0031866.666732.6547618.853231785.54771947.78561836.001901.003.003214.333310.598746.11919188.0046240.6621203.00224.004.003864.000020.2237511.67619813.7614914.2386849.00887.005.003540.666751.9358629.98518411.6508669.6825484.00586.00 inwardness15726.0000647.67772167.22967367.32801084.6720136.001901.00Table 2 Descriptive statistics where 1.00 is the negative control, 2.00 is the positive control, 3.00 is the untreated sample, 4.00 is the sample treated with cisplatin and 5.00 is the sample treated with 5-fluorouracil.NMeanStd. DeviationStd. Error95% Confid ence Interval for MeanMinimumMaximumLower BoundUpper Bound1.003144.333311.930356.88799114.6967173.9700136.00158.002.0031866.666732.6547618.853231785.54771947.78561836.001901.003.003214.333310.598746.11919188.0046240.6621203.00224.004.003864.000020.2237511.67619813.7614914.2386849.00887.005.003540.666751.9358629.98518411.6508669.6825484.00586.00Total15726.0000647.67772167.22967367.32801084.6720136.001901.00Table 3 ANOVA analysis carried out on the dataSum of SquaresdfMean SquareFSig.Between Groups5863955.33341465988.8331655.612.000Within Groups8854.66710885.467Total5872810.00014Table 4 Ad-hoc test Tukeys range tests and LSD showing statistical significance between groups. All differences between groups are statistically significant (pMultiple ComparisonsDependent Variable Fluorescence(I) Treatment(J) TreatmentMean Difference (I-J)Std. ErrorSig.95% Confidence IntervalLower BoundUpper BoundTukey HSD1.002.00-1722.33333*24.29632.000-1802.2945-1642.37223.00-70.0000024.29632.094-149.96129. 96124.00-719.66667*24.29632.000-799.6278-639.70555.00-396.33333*24.29632.000-476.2945-316.37222.001.001722.33333*24.29632.0001642.37221802.29453.001652.33333*24.29632.0001572.37221732.29454.001002.66667*24.29632.000922.70551082.62785.001326.00000*24.29632.0001246.03881405.96123.001.0070.0000024.29632.094-9.9612149.96122.00-1652.33333*24.29632.000-1732.2945-1572.37224.00-649.66667*24.29632.000-729.6278-569.70555.00-326.33333*24.29632.000-406.2945-246.37224.001.00719.66667*24.29632.000639.7055799.62782.00-1002.66667*24.29632.000-1082.6278-922.70553.00649.66667*24.29632.000569.7055729.62785.00323.33333*24.29632.000243.3722403.29455.001.00396.33333*24.29632.000316.3722476.29452.00-1326.00000*24.29632.000-1405.9612-1246.03883.00326.33333*24.29632.000246.3722406.29454.00-323.33333*24.29632.000-403.2945-243.3722LSD1.002.00-1722.33333*24.29632.000-1776.4689-1668.19783.00-70.00000*24.29632.016-124.1356-15.86444.00-719.66667*24.29632.000-773.8022-665.53115.00-396.33333*24.29632.000-450.4689-3 42.19782.001.001722.33333*24.29632.0001668.19781776.46893.001652.33333*24.29632.0001598.19781706.46894.001002.66667*24.29632.000948.53111056.80225.001326.00000*24.29632.0001271.86441380.13563.001.0070.00000*24.29632.01615.8644124.13562.00-1652.33333*24.29632.000-1706.4689-1598.19784.00-649.66667*24.29632.000-703.8022-595.53115.00-326.33333*24.29632.000-380.4689-272.19784.001.00719.66667*24.29632.000665.5311773.80222.00-1002.66667*24.29632.000-1056.8022-948.53113.00649.66667*24.29632.000595.5311703.80225.00323.33333*24.29632.000269.1978377.46895.001.00396.33333*24.29632.000342.1978450.46892.00-1326.00000*24.29632.000-1380.1356-1271.86443.00326.33333*24.29632.000272.1978380.46894.00-323.33333*24.29632.000-377.4689-269.1978*. The mean difference is significant at the 0.05 level.

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