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Related Experiment Video

Updated: Sep 30, 2025

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

Predicting mechanical ventilation effects on six human tissue transcriptomes.

Judith Somekh¹, Nir Lotan¹, Ehud Sussman¹

¹Department of Information Systems, University of Haifa, Haifa, Israel.

|March 10, 2022

Summary

This summary is machine-generated.

Mechanical ventilation (MV) impacts gene expression in human tissues, causing inflammation and reduced cell development. XGBoost analysis identified tissue-specific MV marker genes, highlighting risks in both direct and peripheral tissues.

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Last Updated: Sep 30, 2025

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RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

Area of Science:

Genomics
Bioinformatics
Translational Medicine

Background:

Mechanical ventilation (MV) is critical for respiratory failure but linked to complications and mortality.
Understanding MV's systemic effects on gene expression is crucial for patient outcomes.

Purpose of the Study:

To investigate the impact of MV on gene expression in direct and peripheral human tissues.
To identify reliable biomarkers for MV-induced transcriptomic changes.

Main Methods:

Applied 18 classification models (Random Forest, XGBoost, ANN) to GTEx gene expression data from six tissues.
Evaluated model performance using AUC, accuracy, precision, recall, and F1 score.
Conducted feature analysis to identify MV marker genes and pathway enrichment.

Main Results:

XGBoost demonstrated superior performance, achieving an average accuracy of 0.951 and AUC of 0.945 across six tissues.
Identified tissue-specific MV marker genes related to inflammation, fibrosis, cell development, and movement.
MV marker genes were significantly enriched in inflammatory and viral pathways.

Conclusions:

XGBoost effectively identifies tissue-specific transcriptomic changes induced by MV.
MV is associated with decreased cell development/movement and increased inflammation/injury in both direct and peripheral tissues.
Careful consideration of MV implementation is warranted due to its widespread tissue effects.