Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SC2sepsis

General information

URL: http://www.rjh-sc2sepsis.com
Full name: sepsis single-cell whole gene expression database
Description: Due to the fact that most sepsis-related studies utilizing scRNA-seq have very small sample sizes and there is a lack of an scRNA-seq database for sepsis, we developed Sepsis Single-cell Whole Gene Expression Database Website (SC2sepsis) (http://www.rjh-sc2sepsis.com/), integrating scRNA-seq datasets of human peripheral blood mononuclear cells from 45 septic patients and 26 healthy controls, with a total amount of 232 226 cells. SC2sepsis is a comprehensive resource database with two major features: (i) retrieval of 1988 differentially expressed genes between pathological and healthy conditions and (ii) automatic cell-type annotation, which is expected to facilitate researchers to gain more insights into the immune dysregulation of sepsis.
Year founded: 2022
Last update: 2022-08-18
Version: 1.0
Accessibility:
Unaccessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Shanghai Jiao Tong University
Address: Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197 Ruijin Er Road, Shanghai CN 200025, China.
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Tingting Pan
Contact email (PI/Helpdesk): panting825@126.com

Publications

35980286
SC2sepsis: sepsis single-cell whole gene expression database. [PMID: 35980286]
Yinjiaozhi Li, Ruoming Tan, Yang Chen, Zhaojun Liu, Erzhen Chen, Tingting Pan, Hongping Qu

Sepsis, one of the major challenges in the intensive care unit, is characterized by complex host immune status. Improved understandings of the phenotypic changes of immune cells during sepsis and the driving molecular mechanisms are critical to the elucidation of sepsis pathogenesis. Single-cell RNA sequencing (scRNA-seq), which interprets transcriptome at a single-cell resolution, serves as a useful tool to uncover disease-related gene expression signatures of different cell populations in various diseases. It has also been applied to studies on sepsis immunopathological mechanisms. Due to the fact that most sepsis-related studies utilizing scRNA-seq have very small sample sizes and there is a lack of an scRNA-seq database for sepsis, we developed Sepsis Single-cell Whole Gene Expression Database Website (SC2sepsis) (http://www.rjh-sc2sepsis.com/), integrating scRNA-seq datasets of human peripheral blood mononuclear cells from 45 septic patients and 26 healthy controls, with a total amount of 232 226 cells. SC2sepsis is a comprehensive resource database with two major features: (i) retrieval of 1988 differentially expressed genes between pathological and healthy conditions and (ii) automatic cell-type annotation, which is expected to facilitate researchers to gain more insights into the immune dysregulation of sepsis.
DATABASE URL: http://www.rjh-sc2sepsis.com/.

Database (Oxford). 2022:2022() | 5 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
5144/6932 (25.808%)
Expression:
1052/1361 (22.777%)
5144
Total Rank
4
Citations
1
z-index

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Record metadata

Created on: 2023-08-23
Curated by:
Xinyu Zhou [2023-09-19]
Xinyu Zhou [2023-09-13]
Yue Qi [2023-09-06]
Yuanyuan Cheng [2023-08-23]