<p>Asthenozoospermia, characterized by reduced sperm motility, is a major contributor to male infertility and motivates improved resources for studying spermatogenesis at the genomic level. Here, we present a paired whole-genome sequencing (WGS) dataset from 53 Han Chinese men, comprising matched blood WGS per participant (target ~10×) and 3–5 low-coverage single-sperm WGS libraries per participant (target ~1×). The dataset includes 263 single-sperm libraries (79 from 16 asthenozoospermic participants and 184 from 37 normozoospermic participants) and is accompanied by rich participant-level metadata, including baseline characteristics, endocrine measurements, and semen parameters such as sperm motility and vitality. Raw reads underwent standardized quality-control filtering, and key sequencing metrics (Q20 and GC content) met commonly used thresholds; the achieved mean depth was approximately 10× for blood and ~1.7× for single sperm. By integrating sperm motility/vitality phenotypes with individual-matched genomic information, this resource provides a foundation for male reproductive genomics and for developing and benchmarking algorithms for gamete-genome dissection, and may support future translational research on male infertility evaluation.</p>

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Matched whole-genome sequencing of blood (10×) and five single sperm cells (1×) per individual in 53 men

  • Weiming Chen,
  • Lei Yu,
  • Ruidong Li,
  • Hao Su,
  • Zongyu Chen,
  • Zhixu Zhang,
  • Hui Zhang,
  • Xiaolan Zhang,
  • Yani Ding,
  • Feifei Gou,
  • Yu Lu,
  • Ye Pan,
  • Yong Zhang,
  • Jun He,
  • Chaojun Chen,
  • Zongjian Tan,
  • Zhenyu Jia,
  • Jianguo Zhu

摘要

Asthenozoospermia, characterized by reduced sperm motility, is a major contributor to male infertility and motivates improved resources for studying spermatogenesis at the genomic level. Here, we present a paired whole-genome sequencing (WGS) dataset from 53 Han Chinese men, comprising matched blood WGS per participant (target ~10×) and 3–5 low-coverage single-sperm WGS libraries per participant (target ~1×). The dataset includes 263 single-sperm libraries (79 from 16 asthenozoospermic participants and 184 from 37 normozoospermic participants) and is accompanied by rich participant-level metadata, including baseline characteristics, endocrine measurements, and semen parameters such as sperm motility and vitality. Raw reads underwent standardized quality-control filtering, and key sequencing metrics (Q20 and GC content) met commonly used thresholds; the achieved mean depth was approximately 10× for blood and ~1.7× for single sperm. By integrating sperm motility/vitality phenotypes with individual-matched genomic information, this resource provides a foundation for male reproductive genomics and for developing and benchmarking algorithms for gamete-genome dissection, and may support future translational research on male infertility evaluation.