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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

HRD: an integrated multi-omics resource for human reproduction and development

  • Chang Liu1,2
  • Xu Zhang2
  • Tingyuan Lang1,3
  • Lifei Feng2
  • Hao Liu2
  • Tianyu Yang1,4
  • Meirong Xiang1,4
  • Yunfan Li1
  • Xinrui Chen2
  • Tinghui Xie2
  • Xiru Liu1,3
  • Jianbo Pan1,2
4 affiliations
  1. 1Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University , Chongqing 400016 ,
  2. 2Basic Medicine Research and Innovation Center for Novel Target and Therapeutic Intervention, Ministry of Education, College of Pharmacy, Chongqing Medical University , Chongqing 400016 ,
  3. 3Joint International Research Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University , Chongqing 400016 ,
  4. 4School of Pharmaceutical Sciences, Southwest University , Chongqing 400715 ,
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Abstract

Human reproduction and development span a continuum shaped by genetic, molecular, and environmental factors. However, relevant data remain dispersed across public repositories and the literature, limiting systematic integration, analysis, and reuse. We developed the Human Reproduction and Development Database (HRD; http://www.inbirg.com/hrd/), an integrated multi-omics resource that organizes publicly available data relevant to multiple reproductive, pregnancy, and developmental contexts. HRD version 1.0 contains 814 omics records, including 432 bulk transcriptomic, 144 single-cell or single-nucleus transcriptomic, 156 epigenomic, 52 metabolomic, and 30 proteomic records, together with 702 clinical trial records, 293 exposure-outcome associations, and 779 lead SNPs with curated phenotype associations. By harmonising key metadata and applying data-type-specific analysis workflows, HRD brings omics data, genetic associations, exposure-outcome evidence, and clinical trial data into a common framework for exploring data from multiple stages of reproduction and development. The website supports keyword search, combined filtering, category-based browsing, statistical summaries and data downloads, and provides interactive visualizations of differential analyses, functional enrichment, cell clustering, chromatin accessibility, peak annotation, regulatory networks, and cross-phenotype association plots. HRD supports the retrieval, comparison, and reuse of reproductive and developmental data and analysis results.

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Cite

BibTeXRIS
BibTeX
@article{liu2026integrated,
  title = {{HRD: an integrated multi-omics resource for human reproduction and development}},
  author = {Chang Liu and Xu Zhang and Tingyuan Lang and Lifei Feng and Hao Liu and Tianyu Yang and Meirong Xiang and Yunfan Li and Xinrui Chen and Tinghui Xie and Xiru Liu and Jianbo Pan},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1006},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1006/8937187},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - HRD: an integrated multi-omics resource for human reproduction and development
AU  - Chang Liu
AU  - Xu Zhang
AU  - Tingyuan Lang
AU  - Lifei Feng
AU  - Hao Liu
AU  - Tianyu Yang
AU  - Meirong Xiang
AU  - Yunfan Li
AU  - Xinrui Chen
AU  - Tinghui Xie
AU  - Xiru Liu
AU  - Jianbo Pan
PY  - 2026
DA  - 2026/10/19
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1006
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1006/8937187
AB  - Human reproduction and development span a continuum shaped by genetic, molecular, and environmental factors. However, relevant data remain dispersed across public repositories and the literature, limiting systematic integration, analysis, and reuse. We developed the Human Reproduction and Development Database (HRD; http://www.inbirg.com/hrd/), an integrated multi-omics resource that organizes publicly available data relevant to multiple reproductive, pregnancy, and developmental contexts. HRD version 1.0 contains 814 omics records, including 432 bulk transcriptomic, 144 single-cell or single-nucleus transcriptomic, 156 epigenomic, 52 metabolomic, and 30 proteomic records, together with 702 clinical trial records, 293 exposure-outcome associations, and 779 lead SNPs with curated phenotype associations. By harmonising key metadata and applying data-type-specific analysis workflows, HRD brings omics data, genetic associations, exposure-outcome evidence, and clinical trial data into a common framework for exploring data from multiple stages of reproduction and development. The website supports keyword search, combined filtering, category-based browsing, statistical summaries and data downloads, and provides interactive visualizations of differential analyses, functional enrichment, cell clustering, chromatin accessibility, peak annotation, regulatory networks, and cross-phenotype association plots. HRD supports the retrieval, comparison, and reuse of reproductive and developmental data and analysis results.
SN  - 0305-1048
SN  - 1362-4962
ER  -