Genomics Proteomics & BioinformaticsGenomicsPeer-reviewed journal article
SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine
Zekai LiuiD, Zhen YuaniD, Yunlei GuoiD, Ruilin WangiD, Yusheng GuaniD, Zhanglian WangiD, Yunan CheniD, Tianlu WangiD, Meining JiangiD, Shuhui BianiD
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 SMARTdb (single-cell multi-omics atlas of reproduction), which is an integrative and user-friendly platform for exploring molecular dynamics of reproductive development, aging, and disease, covering multi-omics, multi-species, and multi-stage data. We have curated and analyzed single-cell transcriptome and epigenome data of over 2.0 million cells from 6 species across whole 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 regulate the specific expression pattern of RPL39L collectively 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.
- organism: human
- organism: mouse
- organism: rat
- assay: scRNA-seq
- assay: DNA methylation
- assay: ATAC-seq
- research focus: database / resource
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 17
- FWCI
- 2.31
- Field percentile
- top 11%
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