Computational protocol: Smokeless tobacco consumption impedes metabolic, cellular, apoptotic and systemic stress pattern: A study on Government employees in Kolkata, India

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Protocol publication

[…] For biochemical analysis, summary statistics were analysed using SPSS 20.0 and the mean ± standard deviation (SD) were tabulated in , , . Linear regression was performed keeping all the biological parameters as response variable and age, sex and SLT habit status as explanatory variables. For each biochemical parameter, an independent regression analysis was performed. In the analyses, age and sex adjusted p-values with respect to the SLT habit status were tabulated using one-tailed two-sample t-test. Significant evidence of the effect of SLT habit status on the different biochemical parameters was inferred based on the adjusted p- values. In other words, we identified those biological parameters for which SLT-users showed significant differences compared to non-tobacco users. For cell cycle analysis all data were presented as mean ± standard error of mean (SEM). Densitometric analyses of the western blots were done using ImageJ software and the data are represented as mean ±  SEM. The significance of differences between the means of SLT-user and non-user groups was determined by one-tailed two-sample t-test using Origin Pro 8.0 software. In all cases p-value <0.05 was considered as significant between two test groups. […]

Pipeline specifications

Software tools SPSS, ImageJ
Applications Miscellaneous, Microscopic phenotype analysis
Organisms Nicotiana tabacum
Diseases Tuberculosis, Pulmonary, Drug-Related Side Effects and Adverse Reactions
Chemicals Cholesterol, Glucose