Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal HAYATI Journal of Biosciences
Mohamed@Awang, Kamariah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Quantile Normalization for High Throughput Circulating MicroRNA Expression Study using TaqMan® Low Density Array Panels: Supporting Evidence Ahmad, Azmir; Mohamed, Syarah Syamimi; Tumian, Afidalina; Tolos, Siti Marponga; Sivanesan, Vijaya Mohan; Leman, Wan Ishlah; Abdullah, Kahairi; Mohamad, Irfan; Wan Zainon, Wan Mohd. Nazri; Rosla, Luqman; Syed Yussof, Sharifah Nor Ezura; Mark, Paul; Mohamed@Awang, Kamariah; Ramli, Rosdi; Omar, Eshamsol Kamar; Mohd. Yassin, Mohd. Wardah; Mohamad, Mohd. Amin Marwan; Kaderi, Mohd. Arifin
HAYATI Journal of Biosciences Vol. 31 No. 3 (2024): May 2024
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.31.3.432-442

Abstract

In searching for new biomarkers, high throughput technique has been widely used by researchers, including for gene expression study. However, the reliability and accuracy of results from high throughput study critically depends on appropriate data management, including normalization methods. Data driven normalization has been introduced as a normalization method for high throughput gene expression study. Thus, this study was conducted to evaluate the performance of various data driven and reference genes normalization methods using a high throughput circulating microRNA expression dataset. A quantification cycle (Cq) dataset generated from a high throughput circulating microRNA study was used to test the normalization methods using HTqPCR package in R software. The normalized Cq generated from different methods were compared descriptively using box plot analysis and coefficient of variance. The box plot analysis showed that quantile normalization produced more homogenous Cq distribution, lesser outliers and reduced coefficient of variance as compared to other normalization methods in screening and validation phases. The overview on quantile normalized Cq showed consistency in its level of expression before and after 2-∆∆Cq calculation indicating the reliability of quantile normalized Cq. Quantile normalization is suggested to be used in high throughput miRNA expression study due to its performance in homogenizing the data, reduce outliers and coefficient of variance.
Co-Authors Abdullah, Kahairi Ahmad, Azmir Kaderi, Mohd. Arifin Leman, Wan Ishlah Mark, Paul Mohamad, Irfan Mohamad, Mohd. Amin Marwan Mohamed, Syarah Syamimi Mohd. Yassin, Mohd. Wardah Omar, Eshamsol Kamar Ramli, Rosdi Rosla, Luqman Sivanesan, Vijaya Mohan Syed Yussof, Sharifah Nor Ezura Tolos, Siti Marponga Tumian, Afidalina Wan Zainon, Wan Mohd. Nazri