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SC2sepsis: sepsis single-cell whole gene expression database

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...

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Autores principales: Li, Yinjiaozhi, Tan, Ruoming, Chen, Yang, Liu, Zhaojun, Chen, Erzhen, Pan, Tingting, Qu, Hongping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387141/
https://www.ncbi.nlm.nih.gov/pubmed/35980286
http://dx.doi.org/10.1093/database/baac061
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author Li, Yinjiaozhi
Tan, Ruoming
Chen, Yang
Liu, Zhaojun
Chen, Erzhen
Pan, Tingting
Qu, Hongping
author_facet Li, Yinjiaozhi
Tan, Ruoming
Chen, Yang
Liu, Zhaojun
Chen, Erzhen
Pan, Tingting
Qu, Hongping
author_sort Li, Yinjiaozhi
collection PubMed
description 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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spelling pubmed-93871412022-08-19 SC2sepsis: sepsis single-cell whole gene expression database Li, Yinjiaozhi Tan, Ruoming Chen, Yang Liu, Zhaojun Chen, Erzhen Pan, Tingting Qu, Hongping Database (Oxford) Original Article 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/ Oxford University Press 2022-08-18 /pmc/articles/PMC9387141/ /pubmed/35980286 http://dx.doi.org/10.1093/database/baac061 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Li, Yinjiaozhi
Tan, Ruoming
Chen, Yang
Liu, Zhaojun
Chen, Erzhen
Pan, Tingting
Qu, Hongping
SC2sepsis: sepsis single-cell whole gene expression database
title SC2sepsis: sepsis single-cell whole gene expression database
title_full SC2sepsis: sepsis single-cell whole gene expression database
title_fullStr SC2sepsis: sepsis single-cell whole gene expression database
title_full_unstemmed SC2sepsis: sepsis single-cell whole gene expression database
title_short SC2sepsis: sepsis single-cell whole gene expression database
title_sort sc2sepsis: sepsis single-cell whole gene expression database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387141/
https://www.ncbi.nlm.nih.gov/pubmed/35980286
http://dx.doi.org/10.1093/database/baac061
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