Prism 9.0 for mac os

Manufactured by GraphPad

Prism 9.0 for Mac OS is a scientific data analysis and graphing software. It is designed to help researchers and scientists visualize, analyze, and present their data effectively. Prism 9.0 provides tools for creating a variety of graphs and plots, performing statistical analyses, and organizing data.

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Lab products found in correlation

Reliance one step multiplex supermix, by Bio-Rad (1 mentions) Cfx96 touch real time pcr detection system, by Bio-Rad (1 mentions) Biotin mouse anti human igg, by BD (1 mentions)

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Prism 9 (24382 citations) GraphPad Prism for Mac (47 citations) GraphPad Prism 9 for Mac (18 citations) GraphPad 9.0 Prism (7 citations) Prism 9.0 for Mac OS X (2 citations)

3 protocols using prism 9.0 for mac os

Statistical Analysis of Experimental Data

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Statistical analysis was performed using Prism 9.0 for Mac OS (GraphPad). Statistical methods employed, ranges of p values, and sample size are indicated in figure legends. For all experiments except distribution of myofiber cross-sectional area (CSA), results are expressed as the mean ± standard error of the mean (SEM). Experiments were repeated at least three times unless otherwise noted in figure legends. Statistical testing was determined by normality test, such as the Shapiro-Wilk test and Kolmogorov-Smirnov test. If data showed normal distribution by the normality tests, statistical analysis was performed using Student’s t-test or 1-way or 2-way ANOVA as stated in the figure legends. If data showed non-normal distribution, we chose non-parametric statistical analysis as stated in the figure legends. p < 0.05 was considered statistically significant.

Zhang Y., Zeuthen C., Zhu C., Wu F., Mezzell A.T., Whitlow T.J., Choo H.J, & Vest K.E. (2022). Pharyngeal pathology in a mouse model of oculopharyngeal muscular dystrophy is associated with impaired basal autophagy in myoblasts. Frontiers in Cell and Developmental Biology, 10, 986930.

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COVID-19 Cardiac Fibroblast Activation Markers

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We measured the expression levels of fibroblast activation markers FAP and POSTN, along with housekeeping genes GAPDH and ribosomal protein S13 (RPS13), in total RNA extracted from FFPE COVID-19 ventricular tissue, using the Reliance One-Step Multiplex Supermix (Bio-Rad), customized PrimePCR Probe Assays (FAP-FAM, POSTN-HEX, GAPDH-Cy5.5, RPS13-Cy5; Bio-Rad), and the CFX96 Touch Real Time PCR Detection System (Bio-Rad). All primer/probe sets were initially tested in both single and multiplex PCR reactions; Ct value differences were less than 1 cycle. Only those samples with PMI less than 24 hours were used for analysis of fibroblast activation markers. Quantitative analysis and data visualization were performed using Prism 9.0 for MacOS (GraphPad Software LLC).

Brener M.I., Hulke M.L., Fukuma N., Golob S., Zilinyi R.S., Zhou Z., Tzimas C., Russo I., McGroder C., Pfeiffer R.D., Chong A., Zhang G., Burkhoff D., Leon M.B., Maurer M.S., Moses J.W., Uhlemann A.C., Hibshoosh H., Uriel N., Szabolcs M.J., Redfors B., Marboe C.C., Baldwin M.R., Tucker N.R, & Tsai E.J. (2022). Clinico-histopathologic and single-nuclei RNA-sequencing insights into cardiac injury and microthrombi in critical COVID-19. JCI Insight, 7(2), e154633.

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Omicron Spike RBD Antibody ELISA Protocol

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Nunc 96-well immune ELISA plates were coated with 1 μg/ml of B.1.1.529 (Omicron) Spike RBD protein in carbonate buffer (Sigma Aldrich) for 2 hours at 37°C before washing with PBS (0.05% Tween) (PBST) and blocking at 37°C for 1 hour with PBS containing 1% Bovine Serum Albumin (BSA). Plates were washed in PBST again before application of 50 μl of diluted sera to each well. All serum dilutions were run in duplicate and a four-point dilution series was run for each sample. Following overnight incubation at 4°C, plates were washed with PBST and wells incubated with 1:1000 dilution of Biotin Mouse Anti-human IgG (BD Pharmingen, 555785) at room temperature for 1 hour. Plates were washed again before application of 1:200 dilution of Streptavidin Horseradish Peroxidase (HRP) (Bio-techne, DY998) for 30 min followed by a final wash and then assay development using 3,3′, 5,5;-tetramethylbenzidine (TMB) substrate (Sigma Aldrich, T0440). Color development was stopped after 5 min by the addition of 0.18M H₂SO₄ and OD450nm values for each well measured using a FLUOstar® Omega Plate Reader. Analysis of ELISA data was performed in Prism 9.0 for Mac OS (GraphPad). Data for serial dilutions were plotted and area under the curve calculated for each individual serum sample.

Reynolds C.J., Pade C., Gibbons J.M., Otter A.D., Lin K.M., Muñoz Sandoval D., Pieper F.P., Butler D.K., Liu S., Joy G., Forooghi N., Treibel T.A., Manisty C., Moon J.C., Semper A., Brooks T., McKnight Á., Altmann D.M., Boyton R.J., Abbass H., Abiodun A., Alfarih M., Alldis Z., Altmann D.M., Amin O.E., Andiapen M., Artico J., Augusto J.B., Baca G.L., Bailey S.N., Bhuva A.N., Boulter A., Bowles R., Boyton R.J., Bracken O.V., O’Brien B., Brooks T., Bullock N., Butler D.K., Captur G., Carr O., Champion N., Chan C., Chandran A., Coleman T., Couto de Sousa J., Couto-Parada X., Cross E., Cutino-Moguel T., D’Arcangelo S., Davies R.H., Douglas B., Di Genova C., Dieobi-Anene K., Diniz M.O., Ellis A., Feehan K., Finlay M., Fontana M., Forooghi N., Francis S., Gibbons J.M., Gillespie D., Gilroy D., Hamblin M., Harker G., Hemingway G., Hewson J., Heywood W., Hickling L.M., Hicks B., Hingorani A.D., Howes L., Itua I., Jardim V., Lee W.Y., Jensen M., Jones J., Jones M., Joy G., Kapil V., Kelly C., Kurdi H., Lambourne J., Lin K.M., Liu S., Lloyd A., Louth S., Maini M.K., Mandadapu V., Manisty C., McKnight Á., Menacho K., Mfuko C., Mills K., Millward S., Mitchelmore O., Moon C., Moon J., Muñoz Sandoval D., Murray S.M., Noursadeghi M., Otter A., Pade C., Palma S., Parker R., Patel K., Pawarova M., Petersen S.E., Piniera B., Pieper F.P., Rannigan L., Rapala A., Reynolds C.J., Richards A., Robathan M., Rosenheim J., Rowe C., Royds M., Sackville West J., Sambile G., Schmidt N.M., Selman H., Semper A., Seraphim A., Simion M., Smit A., Sugimoto M., Swadling L., Taylor S., Temperton N., Thomas S., Thornton G.D., Treibel T.A., Tucker A., Varghese A., Veerapen J., Vijayakumar M., Warner T., Welch S., White H., Wodehouse T., Wynne L., Zahedi D., Chain B, & Moon J.C. (2022). Immune boosting by B.1.1.529 (Omicron) depends on previous SARS-CoV-2 exposure. Science (New York, N.y.).

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