ArticleDatabase : the journal of biological databases and curation2022
SC2sepsis: sepsis single-cell whole gene expression database.
Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Immune regulation and therapeutic targets in sepsis: insights from single-cell transcriptomics.Frontiers in immunology · 2026Review
- Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research.Molecular therapy. Nucleic acids · 2025Review
- FUNCTIONAL IMMUNOPHENOTYPING FOR PRECISION THERAPIES IN SEPSIS.Shock (Augusta, Ga.) · 2025Review
- Decoding immune low-response states in sepsis: single-cell and 3D spatial transcriptomic insights into immunoparalysis.Frontiers in immunology · 2025Review
- A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations.ArXiv · 2024Article
- A systematic overview of single-cell transcriptomics databases, their use cases, and limitations.Frontiers in bioinformatics · 2024Review
- Raman Spectroscopy Profiling of Splenic T-Cells in Sepsis and Endotoxemia in Mice.International journal of molecular sciences · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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/.
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Registered trials
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