Back to Search
Start Over
SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine.
- Source :
-
Genomics, proteomics & bioinformatics [Genomics Proteomics Bioinformatics] 2024 Sep 13; Vol. 22 (3). - Publication Year :
- 2024
-
Abstract
- Single-cell multi-omics sequencing has greatly accelerated reproductive research in recent years, and the data are continually growing. However, utilizing these data resources is challenging for wet-lab researchers. A comprehensive platform for exploring single-cell multi-omics data related to reproduction is urgently needed. Here, we introduce the single-cell multi-omics atlas of reproduction (SMARTdb), an integrative and user-friendly platform for exploring molecular dynamics of reproductive development, aging, and disease, which covers multi-omics, multi-species, and multi-stage data. We curated and analyzed single-cell transcriptomic and epigenomic data of over 2.0 million cells from 6 species across the entire lifespan. A series of powerful functionalities are provided, such as "Query gene expression", "DIY expression plot", "DNA methylation plot", and "Epigenome browser". With SMARTdb, we found that the male germ cell-specific expression pattern of RPL39L and RPL10L is conserved between human and other model animals. Moreover, DNA hypomethylation and open chromatin may collectively regulate the specific expression pattern of RPL39L in both male and female germ cells. In summary, SMARTdb is a powerful platform for convenient data mining and gaining novel insights into reproductive development, aging, and disease. SMARTdb is publicly available at https://smart-db.cn.<br /> (© The Author(s) 2024. Published by Oxford University Press and Science Press on behalf of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China.)
Details
- Language :
- English
- ISSN :
- 2210-3244
- Volume :
- 22
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Genomics, proteomics & bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 39380204
- Full Text :
- https://doi.org/10.1093/gpbjnl/qzae005