Literature DB >> 31444592

Establishing a correlation between RIN and A260/280 along with the multivariate evaluation of factors affecting the quality of RNA in cryopreserved cancer bio-specimen.

Sanket G Shah1,2, Mudasir Rashid1,2, Tripti Verma1,2, Madan Ludbe3, Bharat Khade1, Poonam B Gera4, Sanjay Gupta5,6.   

Abstract

Biomarkers are biological characteristic to measure and evaluate normal and pathological states. To define expression-based molecular biomarkers, high-quality tissue samples are a prerequisite for the preparation of standard RNA. It is already known that RIN number defines the RNA quality, however its relation with A260/280 ratio and Ct value is not defined clearly; therefore, understanding an association will provide a reliable method for describing RNA quality. Multiple cryopreserved human tumor tissue types from ACTREC Biorepository and TMH-INTTR were analyzed for the effect of storage time on RNA quality. The RNA from tumor samples were isolated and analyzed by RIN, A260/280 ratio, and Ct value to establish inter-relationships. Around 50% samples had a RIN of ≥ 6.9 and A260/280 ≤ 2.04; 27% had a RIN ≥ 5 and A260/280 ≤ 2.08, and remaining 23% displayed RIN < 5 and A260/280 > 2.08. However, the RNA quality has no association with the storage period of tissue samples. Moreover, all samples which had A260/280 ≤ 2.08 showed acceptable Ct values of 17-24. The data clearly suggests that the A260/280 ratio is able to predict RNA quality. To the best of our knowledge, this is the first Indian report analyzing the labile nucleic acid-RNA quality from different cancer tissue types cryopreserved for diverse time periods. In conclusion, RIN and A260/280 ratio can help in predicting the quality of RNA independently; however, both together provide better assurance for further downstream processing.

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Keywords:  A260/280; Biorepository; Ct value; RIN; Tumor tissues

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Year:  2019        PMID: 31444592     DOI: 10.1007/s10561-019-09782-7

Source DB:  PubMed          Journal:  Cell Tissue Bank        ISSN: 1389-9333            Impact factor:   1.522


  2 in total

1.  RPS13, a potential universal reference gene for normalisation of gene expression in multiple human normal and cancer tissue samples.

Authors:  Mudasir Rashid; Sanket Girish Shah; Abhiram Natu; Tripti Verma; Sukanya Rauniyar; Poonam B Gera; Sanjay Gupta
Journal:  Mol Biol Rep       Date:  2021-10-16       Impact factor: 2.316

Review 2.  High-Resolution Transcriptomic and Proteomic Profiling of Heterogeneity of Brain-Derived Microglia in Multiple Sclerosis.

Authors:  Anneke Miedema; Marion H C Wijering; Bart J L Eggen; Susanne M Kooistra
Journal:  Front Mol Neurosci       Date:  2020-10-22       Impact factor: 5.639

  2 in total

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