Single cell transcriptical changes in major trauma patient
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA810736 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18153500_1.fastq.gz | Fastqsanger.gz | |||
| SRR18153500_2.fastq.gz | Fastqsanger.gz | |||
| SRR18153501_1.fastq.gz | Fastqsanger.gz | |||
| SRR18153501_2.fastq.gz | Fastqsanger.gz | |||
| SRR18153502_1.fastq.gz | Fastqsanger.gz |
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Project description:The mortality rate for patients with trauma is 5.8 million per year. For people aged 15-49, trauma is one of the three leading causes of death. Activation of the coagulation system, intractable hypoxemia, infections and acidosis accompanying post-traumatic patients cannot be separated from trauma immunization. The purpose of this research is to understand the expression of immune cells in patients after trauma, especially severe multiple injuries, and to construct an immune cell profile of patients with multiple injuries.
2022-02-26 | GSE197522 | GEO
Project description:Immune dysfunction is an important factor driving mortality and adverse outcomes after trauma but remains poorly understood, especially at cellular level. To deconvolute the trauma-induced immune response, we applied single-cell RNA sequencing to circulating and bone marrow mononuclear cells in injured mice and circulating mononuclear cells in trauma patients. In mice, the greatest changes in gene expression were seen in monocytes across both compartments. After systemic injury, the gene expression pattern of monocytes markedly deviated from steady state with corresponding changes in critical transcription factors (TFs), which can be traced back to myeloid progenitors. These changes were largely recapitulated in the human single-cell analysis. We generalized the major changes in human CD14+ monocytes into six signatures, which further defined two trauma patient subtypes (SG1 vs. SG2) identified in the whole blood leukocyte transcriptome in the initial 12h after injury. Compared with SG2, SG1 patients exhibited delayed recovery, more severe organ dysfunction and a higher incidence of infection and non-infectious complications. The two patient subtypes were also recapitulated in burn and sepsis patients, revealing a shared pattern of immune response across critical illness. Our data will be broadly useful to further explore the immune response to inflammatory diseases and critical illness.
2020-12-16 | GSE162806 | GEO
Project description:Single-cell transcriptomic changes in sepsis patient
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Project description:A Roadmap from Single-Cell Transcriptome to Patient Classification for the Immune Response to Trauma
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Project description:Background. Coagulopathic bleeding is a major cause of mortality after trauma, and platelet dysfunction contributes to this problem. The causes of platelet dysfunction are relatively unknown, but a great deal can be learned from the plasma environment about the possible pathways involved.
Objective. Describe the changes in plasma proteomic profile associated with platelet dysfunction after trauma.
Methods. Citrated blood was collected from severely injured trauma patients at the time of their arrival to the Emergency Department. Samples were collected from 110 patients, and a subset of twenty-four patients was identified by a preserved (n=12) or severely impaired (n=12) platelet aggregation response to five different agonists. Untargeted proteomics was performed by nanoflow liquid chromatography tandem mass spectrometry. Protein abundance levels for each patient were normalized to total protein concentration to control for hemodilution by crystalloid fluid infusion prior to blood draw.
Results. Patients with platelet dysfunction were more severely injured but otherwise demographically similar to those with retained platelet function. Of 232 proteins detected, twelve were significantly different between groups. These proteins fall into several broad categories related to platelet function, including microvascular obstruction with platelet activation, immune activation, and protease activation.
Conclusions. This observational study provides a description of the change in proteomic profile associated with platelet dysfunction after trauma and identifies twelve proteins with the most profound changes. The pathways involving these proteins are salient targets for immediate investigation to better understand platelet dysfunction after trauma and identify targets for intervention.
2021-02-24 | MSV000086948 | MassIVE
Project description:Describe the changes in plasma proteomic profile associated with platelet dysfunction after trauma
2021-02-23 | MSV000086942 | MassIVE
Project description:TREM2 signaling in myeloid cells functions as a major pathology-induced immune signaling hub in trauma- and autoimmune-mediated neurodegeneration. Here we compared the influence of TREM2 signaling on single-cell transcriptional profiles of mouse myeloid populations during the pathologies of spinal cord injury (SCI) and multiple sclerosis (MS) models.
2023-06-06 | GSE198852 | GEO
Project description:The study was aimed to identify mechanisms linked to complicated courses after severe trauma by a systems biology approach. In severe trauma, overwhelming systemic inflammation can result in adverse events and the development of complications, including sepsis. In a prospective study, RNA samples from circulating leukocytes from patients with multiple injury (injury severity score ⥠17) were analyzed for dynamic changes in gene expression over a period of 21 days by whole genome screening. Based on their clinical presentation, patients were divided into two subgroups: patients with secondary sepsis after trauma (n=5) and patients with systemic inflammation without infection (n=5). Expression cluster were defined by correlating gene expression data with clinical outcome parameters. Using unsupervised clustering, patients with systemic inflammation only and patients with sepsis showed a distinct expression pattern and the discrimination of clinical presentation was reflected by clustering of the samples. Explorative gene set analysis revealed robust upregulation of genes related to âhemoglobin metabolism/oxygen transportâ and âpathogenic E.coli infectionâ. 10 patients with multi-system trauma (ISS ⥠17 points) admitted to the Division of Trauma Surgery at the University Hospital Zurich were included. Whole blood from trauma patients was collected within the first 6 h after trauma (day 0) and on days 1, 2, 3, 5, 7, 10, 14, and 21. Total cellular RNA from circulating leukocytes was isolated using PaxGene Blood RNA Kit (PreAnalytix) for transcriptome profiling. RNA from blood of trauma patients was extracted and subjected to microarray analysis for comparison of longitudinal transcriptomic responses of patients. RNA samples of circulating leukocytes covering time points directly after admission (D0) and on the consecutive days (D1-D21) were subject to multifactorial microarray data analysis: Differences in dynamics of transcripts were assessed by contrasting time- and individual-resolved changes for sepsis and systemic inflammation without infection.
2015-11-01 | E-GEOD-70311 | biostudies-arrayexpress
Project description:#G017 Burn/Trauma Study. This is a Glue Grant Study comparison between gene expression analyses performed in eight trauma/burn subjects using either a buffy coat isolation of whole blood or using the PAXgene system Keywords: other
2004-04-24 | GSE1343 | GEO
Project description:Physiological, anatomical, and clinical laboratory analytic scoring systems (APACHE, Injury Severity Score (ISS)) have been utilized, with limited success, to predict outcome following injury. We hypothesized that a peripheral blood leukocyte gene expression score could predict outcome, including multiple organ failure, following severe blunt trauma. Contributor: The Inflammation and the Host Response to Injury Large Scale Collaborative Research Program Keywords: expression profiles cRNA derived from whole blood leukocytes obtained within 12 hours of hospital admission provided gene expression data for the entire genome that were used to create a gene expression score for each patient. Expression profiles from healthy volunteers were averaged to create a reference gene expression profile which was used to compute a difference from reference (DFR) score for each patient. This score described the overall genomic response of patients within the first 12 hours following severe blunt trauma. Regression models were used to compare the association of the DFR, APACHE and ISS scores with outcome.
2009-04-12 | E-GEOD-11375 | biostudies-arrayexpress