ArticleInfection and drug resistance2022
Proteomics Combined with RNA Sequencing to Screen Biomarkers of Sepsis.
Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis).Scientific reports · 2026Article
- Screening Therapeutic Core Genes in Sepsis Using Network Pharmacology and Single-Cell RNA Sequencing.Biochemical genetics · 2026Article
- Screening and analysis of programmed cell death related genes and targeted drugs in sepsis.Hereditas · 2025Article
- Single-Cell Multi-Omics Deciphers Core Gene Networks and Immune Interaction Collapse in Sepsis-Associated T Cell Dysfunction.Infection and drug resistance · 2025Article
- Elaborating the molecular characteristics of corals' different tolerance to environmental stress in Sanya Luhuitou based on multi-omics analysis.Frontiers in microbiology · 2025Article
- SPINK1 is a Potential Diagnostic and Prognostic Biomarker for Sepsis.Infection and drug resistance · 2024Article
- Peripheral immune cell death in sepsis based on bulk RNA and single-cell RNA sequencing.Heliyon · 2023Article
- Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics.Communications biology · 2023Article
- Screening and identification of the core immune-related genes and immune cell infiltration in severe burns and sepsis.Journal of cellular and molecular medicine · 2023Article
- Multi-Omics Endotypes in ICU Sepsis-Induced Immunosuppression.Microorganisms · 2023Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To screen biomarkers in the serum of patients with sepsis by proteomics combined with RNA sequencing technology, and to find new diagnostic and therapeutic targets for sepsis. Patients and Methods: Blood samples of 22 sepsis patients (sepsis group) and 10 healthy volunteers (normal group) were collected from January 2019 to December 2020. Data-independent acquisition (DIA) method was employed for protein profiling, RNA sequencing was employed for gene sequencing. Subsequently, quality control and differential analysis (FC≥2; FDR<0.05) of DIA data and RNA sequencing data were performed. Then we identified expression trend-consistent divergence factors by nine-quadrant analysis; subsequent protein-protein interaction (PPI) and gene ontology (GO) functional enrichment analysis of intersection factors was performed, and meta-analysis of targets at transcriptome level was implemented using public datasets. Finally, five Peripheral blood mononuclear cell (PBMC) samples (NC=2; SIRS=1; SEPSIS =2) were collected, and cell localization analysis of core genes was performed by 10× single-cell RNA sequencing (scRNA-seq). Results: Compared with the normal group, there were 4681 differentially expressed genes and 202 differentially expressed proteins in the sepsis group. Among them, 25 factors were expressed in both proteome and transcriptome, and the analysis of PPI and GO found that they were mainly involved in biological processes such as white blood cell and neutrophil response, inflammatory and immune response. Four core genes GSTO1, C1QA, RETN, and GRN were screened by meta-analysis, all of which were highly expressed in the sepsis group compared with the normal group (P<0.05); scRNA-seq showed the core genes were mainly localized in macrophage cell lines. Conclusion: The core genes GSTO1, C1QA, RETN and GRN are mainly expressed in macrophages, widely involved in inflammation and immune responses, and are highly expressed in plasma in the sepsis, suggesting that they may become potential research targets for sepsis.
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