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学者姓名：熊壮
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Abstract ：
The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data at an unprecedented pace, CNCB-NGDC continuously expands and updates core database resources through big data archiving, integrative analysis and value-added curation. Importantly, NGDC collaborates closely with major international databases and initiatives to ensure seamless data exchange and interoperability. Over the past year, significant efforts have been dedicated to integrating diverse omics data, synthesizing expanding knowledge, developing new resources, and upgrading major existing resources. Particularly, several database resources are newly developed for the biodiversity of protists (P10K), bacteria (NTM-DB, MPA) as well as plant (PPGR, SoyOmics, PlantPan) and disease/trait association (CROST, HervD Atlas, HALL, MACdb, BioKA, BioKA, RePoS, PGG.SV, NAFLDkb). All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn. Graphical Abstract
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| GB/T 7714 | Bao, Yiming , Zhang, Zhang , Zhao, Wenming et al. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024 [J]. | NUCLEIC ACIDS RESEARCH , 2023 . |
| MLA | Bao, Yiming et al. "Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024" . | NUCLEIC ACIDS RESEARCH (2023) . |
| APA | Bao, Yiming , Zhang, Zhang , Zhao, Wenming , Xiao, Jingfa , He, Shunmin , Zhang, Guoqing et al. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024 . | NUCLEIC ACIDS RESEARCH , 2023 . |
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Abstract ：
Diverse individuals age at different rates and display variable susceptibilities to tissue aging, functional decline and aging-related diseases. Centenarians, exemplifying extreme longevity, serve as models for healthy aging. The field of human aging and longevity research is rapidly advancing, garnering significant attention and accumulating substantial data in recent years. Omics technologies, encompassing phenomics, genomics, transcriptomics, proteomics, metabolomics and microbiomics, have provided multidimensional insights and revolutionized cohort-based investigations into human aging and longevity. Accumulated data, covering diverse cells, tissues and cohorts across the lifespan necessitates the establishment of an open and integrated database. Addressing this, we established the Human Aging and Longevity Landscape (HALL), a comprehensive multi-omics repository encompassing a diverse spectrum of human cohorts, spanning from young adults to centenarians. The core objective of HALL is to foster healthy aging by offering an extensive repository of information on biomarkers that gauge the trajectory of human aging. Moreover, the database facilitates the development of diagnostic tools for aging-related conditions and empowers targeted interventions to enhance longevity. HALL is publicly available at https://ngdc.cncb.ac.cn/hall/index. Graphical Abstract
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| GB/T 7714 | Li, Hao , Wu, Song , Li, Jiaming et al. HALL: a comprehensive database for human aging and longevity studies [J]. | NUCLEIC ACIDS RESEARCH , 2023 . |
| MLA | Li, Hao et al. "HALL: a comprehensive database for human aging and longevity studies" . | NUCLEIC ACIDS RESEARCH (2023) . |
| APA | Li, Hao , Wu, Song , Li, Jiaming , Xiong, Zhuang , Yang, Kuan , Ye, Weidong et al. HALL: a comprehensive database for human aging and longevity studies . | NUCLEIC ACIDS RESEARCH , 2023 . |
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Abstract ：
The development of spatial transcriptome sequencing technology has revolutionized our comprehension of complex tissues and propelled life and health sciences into an era of spatial omics. However, the current availability of databases for accessing and analyzing spatial transcriptomic data is limited. In response, we have established CROST (https://ngdc.cncb.ac.cn/crost), a comprehensive repository of spatial transcriptomics. CROST encompasses high-quality samples and houses 182 spatial transcriptomic datasets from diverse species, organs, and diseases, comprising 1033 sub-datasets and 48 043 tumor-related spatially variable genes (SVGs). Additionally, it encompasses a standardized spatial transcriptome data processing pipeline, integrates single-cell RNA sequencing deconvolution spatial transcriptomics data, and evaluates correlation, colocalization, intercellular communication, and biological function annotation analyses. Moreover, CROST integrates the transcriptome, epigenome, and genome to explore tumor-associated SVGs and provides a comprehensive understanding of their roles in cancer progression and prognosis. Furthermore, CROST provides two online tools, single-sample gene set enrichment analysis and SpatialAP, for users to annotate and analyze the uploaded spatial transcriptomics data. The user-friendly interface of CROST facilitates browsing, searching, analyzing, visualizing, and downloading desired information. Collectively, CROST offers fresh and comprehensive insights into tissue structure and a foundation for understanding multiple biological mechanisms in diseases, particularly in tumor tissues. [Graphical Abstract]
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| GB/T 7714 | Wang, Guoliang , Wu, Song , Xiong, Zhuang et al. CROST: a comprehensive repository of spatial transcriptomics [J]. | NUCLEIC ACIDS RESEARCH , 2023 , 52 (D1) : D882-D890 . |
| MLA | Wang, Guoliang et al. "CROST: a comprehensive repository of spatial transcriptomics" . | NUCLEIC ACIDS RESEARCH 52 . D1 (2023) : D882-D890 . |
| APA | Wang, Guoliang , Wu, Song , Xiong, Zhuang , Qu, Hongzhu , Fang, Xiangdong , Bao, Yiming . CROST: a comprehensive repository of spatial transcriptomics . | NUCLEIC ACIDS RESEARCH , 2023 , 52 (D1) , D882-D890 . |
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