Transcriptome sequencing reveals significant RNA variation in human sperm samples

DNA transcription and protein translation are non-coupled for life activities after sperm formation, and if the RNA profile of isolated spermatozoa is resolved, it will help men with epigenetic effects on their offspring and male infertility due to RNA disorders. However, the significance of RNA identity, quantity, and quality in sperm biology and their implications for male fertility are not well understood. We collected 83 semen samples, including with normal sperm motility and with asthenospermia, a condition characterized by reduced sperm motility, for transcriptome sequence. Due to the inherently low RNA content in sperm, only 37 samples were successfully sequenced. Among these, 15 samples met high-quality standards with an RNA Integrity Number (RIN) greater than 6 and a 28 S/18S ratio greater than 0.7, while 22 samples had a RIN between 5 and 6 with a 28 S/18S ratio greater than 0.7. To foster broader research, we have made the RNA sequencing data of these two sets of samples publicly available in the GSA-Human database, under accession numbers HRA006250 and HRA006906, respectively. The data could help develop new algorithms to parse the RNA landscape retained after sperm formation, while potentially discovering new molecular markers of weak asthenospermia.

Authors

Institutions

Publication Details

Journal
BMC Research Notes
Published
2025-07-12
DOI
https://doi.org/10.1186/s13104-025-07356-3
Citations
1
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptome sequencing reveals significant RNA variation in human sperm samples

Zhenyu Jia, Wei‐Ming Chen, Lei Yu, Jianguo Zhu
1 citations
BMC Research Notes
Molecular Biology Techniques and Applications
0.81
article

Transcriptome sequencing reveals significant RNA variation in human sperm samples

Zhenyu Jia, Wei‐Ming Chen, Lei Yu, Jianguo Zhu
article en
1 citations

Abstract

DNA transcription and protein translation are non-coupled for life activities after sperm formation, and if the RNA profile of isolated spermatozoa is resolved, it will help men with epigenetic effects on their offspring and male infertility due to RNA disorders. However, the significance of RNA identity, quantity, and quality in sperm biology and their implications for male fertility are not well understood. We collected 83 semen samples, including with normal sperm motility and with asthenospermia, a condition characterized by reduced sperm motility, for transcriptome sequence. Due to the inherently low RNA content in sperm, only 37 samples were successfully sequenced. Among these, 15 samples met high-quality standards with an RNA Integrity Number (RIN) greater than 6 and a 28 S/18S ratio greater than 0.7, while 22 samples had a RIN between 5 and 6 with a 28 S/18S ratio greater than 0.7. To foster broader research, we have made the RNA sequencing data of these two sets of samples publicly available in the GSA-Human database, under accession numbers HRA006250 and HRA006906, respectively. The data could help develop new algorithms to parse the RNA landscape retained after sperm formation, while potentially discovering new molecular markers of weak asthenospermia.

BMC Research NotesVol. 18(1)
University of California, Riverside (US), Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN), Institut thématique Génétique, génomique et bioinformatique (FR)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 26%
Molecular Biology Techniques and Applications
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.