Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

SEGreg (Databse of Specifically Expressed Genes and regulation)

General information

Description: SEGreg is a comprehensive database containing SEGs identified by our SEGtool from four high-throughput datasets of different cancers/tissues/cell lines (TCGA, BodyMap, CCLE and GTEx), along with their corresponding miRNA and TF regulations collected from several databases. SEGreg will provide useful clues to reveal the functions and regulations of SEGs.
Year founded: 2018
Last update:
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Country/Region: China
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Contact information

University/Institution: Huazhong University of Science and Technology
Address: Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China. Tel.: 86-027-87793177
City: Wuhan
Country/Region: China
Contact name (PI/Team): An-Yuan Guo
Contact email (PI/Helpdesk):

Related Database

Record metadata

Created on: 2018-01-29
Curated by:
Farah Nazir [2018-04-13]


All databases:
2479/4656 (46.778%)
477/833 (42.857%)
128/194 (34.536%)
222/443 (50.113%)
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SEGreg: a database for human specifically expressed genes and their regulations in cancer and normal tissue. [PMID: 29309507]
Tang Q, Zhang Q, Lv Y, Miao YR, Guo AY.

Human specifically expressed genes (SEGs) usually serve as potential biomarkers for disease diagnosis and treatment. However, the regulation underlying their specific expression remains to be revealed. In this study, we constructed SEG regulation database (SEGreg; available at for showing SEGs and their transcription factors (TFs) and microRNA (miRNA) regulations under different physiological conditions, which include normal tissue, cancer tissue and cell line. In total, SEGreg collected 6387, 1451, 4506 and 5320 SEGs from expression profiles of 34 cancer types and 55 tissues of The Cancer Genome Atlas, Cancer Cell Line Encyclopedia, Human Body Map and Genotype-Tissue Expression databases/projects, respectively. The cancer or tissue corresponding expressed miRNAs and TFs were identified from miRNA and gene expression profiles, and their targets were collected from several public resources. Then the regulatory networks of all SEGs were constructed and integrated into SEGreg. Through a user-friendly interface, users can browse and search SEGreg by gene name, data source, tissue, cancer type and regulators. In summary, SEGreg is a specialized resource to explore SEGs and their regulations, which provides clues to reveal the mechanisms of carcinogenesis and biological processes.

Brief Bioinform. 2019:20(4) | 2 Citations (from Europe PMC, 2020-08-08)