Article3 Biotech2017
Unveiling differentially expressed genes upon regulation of transcription factors in sepsis.
Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Role of the human cytochrome b561 family in iron metabolism and tumors (Review).Oncology letters · 2025Review
- Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning.Inflammation · 2025Article
- A potential XGBoost Diagnostic Score forFrontiers in immunology · 2025Article
- Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024Article
- Crosstalk between septic shock and venous thromboembolism: a bioinformatics and immunoassay analysis.Frontiers in cellular and infection microbiology · 2023Article
- Lysosomal iron recycling in mouse macrophages is dependent upon both LcytB and Steap3 reductases.Blood advances · 2022Article
- The Landscape of Featured Metabolism-Related Genes and Imbalanced Immune Cell Subsets in Sepsis.Frontiers in genetics · 2022Article
- Discovery and Validation of Urinary Molecular Signature of Early Sepsis.Critical care explorations · 2020Article
- Transcriptome analysis of HPV-induced warts and healthy skin in humans.BMC medical genomics · 2020Article
- Sepsis: Inflammation Is a Necessary Evil.Frontiers in cell and developmental biology · 2019Review
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
In this study, we integrated the gene expression data of sepsis to reveal more precise genome-wide expression signature to shed light on the pathological mechanism of sepsis. Differentially expressed genes via integrating five microarray datasets from the Gene Expression Omnibus database were obtained. The gene function and involved pathways of differentially expressed genes (DEGs) were detected by GeneCodis3. Transcription factors (TFs) targeting top 20 dysregulated DEGs (including up- and downregulated genes) were found based on the TRANSFAC. A total of 1339 DEGs were detected including 788 upregulated and 551 downregulated genes. These genes were mostly involved in DNA-dependent transcription regulation, blood coagulation, and innate immune response, pathogenic escherichia coli infection, epithelial cell signaling in helicobacter pylori infection, and chemokine signaling pathway. TFs bioinformatic analysis of 20 DEGs generated 374 pairs of TF-target gene involving 47 TFs. At last, we found that five top ten upregulated DEGs (S100A8, S100A9, S100A12, PGLYRP1 and MMP9) and three downregulated DEGs (ZNF84, CYB561A3 and BST1) were under the regulation of three hub TFs of Pax-4, POU2F1, and Nkx2-5. The identified eight DEGs may be regarded as the diagnosis marker and drug target for sepsis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.