Optimization of sperm RNA processing for developmental research
Abstract Recent studies have demonstrated the significance of sperm RNA function as a transporter of important information directing the course of life. To determine the message contained in sperm RNA, it is necessary to optimize transcriptomic research tools. The current study was performed to opti...
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Nature Portfolio
2020
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oai:doaj.org-article:2cbdee5e3adf4d5bad7cc78597fdc6aa2021-12-02T15:33:10ZOptimization of sperm RNA processing for developmental research10.1038/s41598-020-68486-12045-2322https://doaj.org/article/2cbdee5e3adf4d5bad7cc78597fdc6aa2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-68486-1https://doaj.org/toc/2045-2322Abstract Recent studies have demonstrated the significance of sperm RNA function as a transporter of important information directing the course of life. To determine the message contained in sperm RNA, it is necessary to optimize transcriptomic research tools. The current study was performed to optimize the processing of sperm RNA from sample storage to quantitative real-time PCR and assess the corresponding method with to evaluate male fertility and its representative markers, equatorin (EQTN) and peroxiredoxin (PRDX). Following successive steps of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments guidelines, several options were compared using boar spermatozoa. To evaluate the optimized procedures, the relationship between mRNA expression of EQTN and PRDX in spermatozoa and the fertility (litter size) of 20 individual boars was assessed. Unexpectedly, DNase treatment during RNA isolation had the deleterious effect by decreasing the RNA concentration by 56% and eliminating the correlation between EQTN and PRDX4 mRNA expression and male fertility. Moreover, when sperm RNA was processed using the corresponding method, the results showed the highest exon sequence expression, male fertility prediction power, and consistency. This optimized protocol for predicting male fertility can be used to study the transport of messages directing the life course from spermatozoon to offspring.Won-Ki PangSaehan KangDo-Yeal RyuMd Saidur RahmanYoo-Jin ParkMyung-Geol PangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) |
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Medicine R Science Q Won-Ki Pang Saehan Kang Do-Yeal Ryu Md Saidur Rahman Yoo-Jin Park Myung-Geol Pang Optimization of sperm RNA processing for developmental research |
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Abstract Recent studies have demonstrated the significance of sperm RNA function as a transporter of important information directing the course of life. To determine the message contained in sperm RNA, it is necessary to optimize transcriptomic research tools. The current study was performed to optimize the processing of sperm RNA from sample storage to quantitative real-time PCR and assess the corresponding method with to evaluate male fertility and its representative markers, equatorin (EQTN) and peroxiredoxin (PRDX). Following successive steps of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments guidelines, several options were compared using boar spermatozoa. To evaluate the optimized procedures, the relationship between mRNA expression of EQTN and PRDX in spermatozoa and the fertility (litter size) of 20 individual boars was assessed. Unexpectedly, DNase treatment during RNA isolation had the deleterious effect by decreasing the RNA concentration by 56% and eliminating the correlation between EQTN and PRDX4 mRNA expression and male fertility. Moreover, when sperm RNA was processed using the corresponding method, the results showed the highest exon sequence expression, male fertility prediction power, and consistency. This optimized protocol for predicting male fertility can be used to study the transport of messages directing the life course from spermatozoon to offspring. |
format |
article |
author |
Won-Ki Pang Saehan Kang Do-Yeal Ryu Md Saidur Rahman Yoo-Jin Park Myung-Geol Pang |
author_facet |
Won-Ki Pang Saehan Kang Do-Yeal Ryu Md Saidur Rahman Yoo-Jin Park Myung-Geol Pang |
author_sort |
Won-Ki Pang |
title |
Optimization of sperm RNA processing for developmental research |
title_short |
Optimization of sperm RNA processing for developmental research |
title_full |
Optimization of sperm RNA processing for developmental research |
title_fullStr |
Optimization of sperm RNA processing for developmental research |
title_full_unstemmed |
Optimization of sperm RNA processing for developmental research |
title_sort |
optimization of sperm rna processing for developmental research |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/2cbdee5e3adf4d5bad7cc78597fdc6aa |
work_keys_str_mv |
AT wonkipang optimizationofspermrnaprocessingfordevelopmentalresearch AT saehankang optimizationofspermrnaprocessingfordevelopmentalresearch AT doyealryu optimizationofspermrnaprocessingfordevelopmentalresearch AT mdsaidurrahman optimizationofspermrnaprocessingfordevelopmentalresearch AT yoojinpark optimizationofspermrnaprocessingfordevelopmentalresearch AT myunggeolpang optimizationofspermrnaprocessingfordevelopmentalresearch |
_version_ |
1718387072943783936 |