Gene Expression Nebulas (GEN): a comprehensive data portal integrating transcriptomic profiles across multiple species at both bulk and single-cell levels

Author:

Zhang Yuansheng123,Zou Dong12,Zhu Tongtong123,Xu Tianyi12,Chen Ming123,Niu Guangyi123,Zong Wenting123ORCID,Pan Rong123,Jing Wei123,Sang Jian123,Liu Chang123,Xiong Yujia4,Sun Yubin12,Zhai Shuang12,Chen Huanxin12,Zhao Wenming123,Xiao Jingfa123ORCID,Bao Yiming123,Hao Lili12ORCID,Zhang Zhang123ORCID

Affiliation:

1. National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China

2. China National Center for Bioinformation, Beijing 100101, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

4. Beijing Neurosurgical Institute, Capital Medical University, Beijing 100069, China

Abstract

Abstract Transcriptomic profiling is critical to uncovering functional elements from transcriptional and post-transcriptional aspects. Here, we present Gene Expression Nebulas (GEN, https://ngdc.cncb.ac.cn/gen/), an open-access data portal integrating transcriptomic profiles under various biological contexts. GEN features a curated collection of high-quality bulk and single-cell RNA sequencing datasets by using standardized data processing pipelines and a structured curation model. Currently, GEN houses a large number of gene expression profiles from 323 datasets (157 bulk and 166 single-cell), covering 50 500 samples and 15 540 169 cells across 30 species, which are further categorized into six biological contexts. Moreover, GEN integrates a full range of transcriptomic profiles on expression, RNA editing and alternative splicing for 10 bulk datasets, providing opportunities for users to conduct integrative analysis at both transcriptional and post-transcriptional levels. In addition, GEN provides abundant gene annotations based on value-added curation of transcriptomic profiles and delivers online services for data analysis and visualization. Collectively, GEN presents a comprehensive collection of transcriptomic profiles across multiple species, thus serving as a fundamental resource for better understanding genetic regulatory architecture and functional mechanisms from tissues to cells.

Funder

National Key Research and Development Program of China

Special Investigation on Science and Technology Basic Resources of the MOST

Chinese Academy of Sciences

Youth Innovation Promotion Association of Chinese Academy of Sciences

International Partnership Program of the Chinese Academy of Sciences

Genomics Data Center Construction of Chinese Academy of Sciences

National Natural Science Foundation of China

Open Biodiversity and Health Big Data Programme of IUBS

Publisher

Oxford University Press (OUP)

Subject

Genetics

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