Evidence map›Paper›PMID 37953328›Full record

ArticleNucleic acids research2024

STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization.

Zhicheng Xu, Weiwen Wang, Tao Yang, Ling Li, Xizheng Ma, Jing Chen, Jieyu Wang, Yan Huang, Joshua Gould, Huifang Lu and 20 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Zhicheng XuChina National GeneBank, BGI Research, Shenzhen 518120, China.
Weiwen WangChina National GeneBank, BGI Research, Shenzhen 518120, China.
Tao YangChina National GeneBank, BGI Research, Shenzhen 518120, China.
Ling LiChina National GeneBank, BGI Research, Shenzhen 518120, China.
Xizheng MaChina National GeneBank, BGI Research, Shenzhen 518120, China.
Jing ChenChina National GeneBank, BGI Research, Shenzhen 518120, China.
Jieyu WangChina National GeneBank, BGI Research, Shenzhen 518120, China.
Yan HuangBGI Research, Shenzhen 518083, China.
Joshua GouldKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Huifang LuBGI Research, Shenzhen 518083, China.
Wensi DuChina National GeneBank, BGI Research, Shenzhen 518120, China.
Sunil Kumar SahuBGI Research, Shenzhen 518083, China.ORCID 0000-0002-4742-9870
Fan YangChina National GeneBank, BGI Research, Shenzhen 518120, China.
Zhiyong LiBGI Research, Wuhan 430074, China.
Qingjiang HuChina National GeneBank, BGI Research, Shenzhen 518120, China.
Cong HuaBGI Research, Wuhan 430074, China.
Shoujie HuChina National GeneBank, BGI Research, Shenzhen 518120, China.
Yiqun LiuChina National GeneBank, BGI Research, Shenzhen 518120, China.
Jia CaiBGI Research, Wuhan 430074, China.
Lijin YouChina National GeneBank, BGI Research, Shenzhen 518120, China.
Yong ZhangBGI Research, Shenzhen 518083, China.ORCID 0000-0001-9950-1793
YuXiang LiBGI Research, Shenzhen 518083, China.
Wenjun ZengChina National GeneBank, BGI Research, Shenzhen 518120, China.
Ao ChenBGI Research, Shenzhen 518083, China.
Bo WangChina National GeneBank, BGI Research, Shenzhen 518120, China.
Longqi LiuBGI Research, Shenzhen 518083, China.
Fengzhen ChenBGI Research, Shenzhen 518083, China.
Kailong MaChina National GeneBank, BGI Research, Shenzhen 518120, China.ORCID 0000-0002-9351-104X
Xun XuBGI Research, Shenzhen 518083, China.ORCID 0000-0002-5338-5173
Xiaofeng WeiChina National GeneBank, BGI Research, Shenzhen 518120, China.

Funding

Guangdong Provincial Genomics Data Center 2021B1212100001Guangdong Provincial Key Laboratory of Genome Read and Write 2017B030301011
6 · The paper itself

Abstract

Recent technological developments in spatial transcriptomics allow researchers to measure gene expression of cells and their spatial locations at the single-cell level, generating detailed biological insight into biological processes. A comprehensive database could facilitate the sharing of spatial transcriptomic data and streamline the data acquisition process for researchers. Here, we present the Spatial TranscriptOmics DataBase (STOmicsDB), a database that serves as a one-stop hub for spatial transcriptomics. STOmicsDB integrates 218 manually curated datasets representing 17 species. We annotated cell types, identified spatial regions and genes, and performed cell-cell interaction analysis for these datasets. STOmicsDB features a user-friendly interface for the rapid visualization of millions of cells. To further facilitate the reusability and interoperability of spatial transcriptomic data, we developed standards for spatial transcriptomic data archiving and constructed a spatial transcriptomic data archiving system. Additionally, we offer a distinctive capability of customizing dedicated sub-databases in STOmicsDB for researchers, assisting them in visualizing their spatial transcriptomic analyses. We believe that STOmicsDB could contribute to research insights in the spatial transcriptomics field, including data archiving, sharing, visualization and analysis. STOmicsDB is freely accessible at https://db.cngb.org/stomics/.

Indexed as

Databases, GeneticGene Expression ProfilingInformation DisseminationTranscriptome

Identifiers

PMID37953328
PMCPMC10767841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.