Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 261-270 of 334 results
Neuron, 2023 • December 20, 2023
Kim et al. identify antioxidant response gene NFE2L2 as a new regulator of axon regeneration and develop a Regeneration Classifier that can be broadly applied to predict the regenerative potential of ...
KEY FINDING: A Regeneration Classifier was developed that can predict the regenerative potential of diverse neuronal types based on their single-cell transcriptomes.
Nature Communications, 2023 • November 21, 2023
This study introduces CRISOT, an integrated computational framework for genome-wide CRISPR off-target prediction, evaluation, and optimization, based on RNA-DNA molecular interactions derived from mol...
KEY FINDING: CRISOT outperforms existing tools with extensive in silico validations and proof-of-concept experimental validations.
Brain and Behavior, 2023 • November 1, 2023
This study aimed to identify potential biomarkers and enriched pathways in young and aged spinal cord injury (SCI) mouse models using bioinformatics analysis of microarray data. The researchers identi...
KEY FINDING: The study identified 2560 differentially expressed genes (DEGs) in young SCI mice and 3048 DEGs in aged SCI mice compared to their respective controls.
Genome Medicine, 2023 • December 2, 2023
The study introduces comboSC, a computational prototype for personalized cancer combination therapy optimization using single-cell transcriptomes. ComboSC stratifies individual patient samples based o...
KEY FINDING: ComboSC can predict potential drug combinations for experimental validation and clinical usage using the single-cell transcriptome.
Genes, 2023 • December 8, 2023
This study compares the transcriptomic responses of axolotls and rodents after spinal cord injury (SCI) to identify gene expression differences during the initial days post-injury, aiming to find tran...
KEY FINDING: Immune-related processes increase shortly after SCI in both axolotls and rodents; however, rodents show a more pronounced immune response.
J. Pers. Med., 2023 • November 24, 2023
This study explores the use of a Generative Adversarial Network (GAN) to reconstruct 3D spinal vertebrae structures from synthetic biplanar X-ray images. The X2CT-GAN model was applied, focusing on an...
KEY FINDING: The GAN-based method can effectively reconstruct 3D spinal vertebrae structures from biplanar X-rays.
Biochemistry and Biophysics Reports, 2024 • January 25, 2024
This study aimed to elucidate the role of mitophagy and identify potential mitophagy-related hub genes in SCI pathophysiology using bioinformatics analysis. SKP1 and BAP1 were identified as hub genes ...
KEY FINDING: SKP1 and BAP1 were identified as hub genes of mitophagy-related DEGs during SCI development.
Frontiers in Medicine, 2024 • February 23, 2024
This study identified four genes (Icam1, Ch25h, Plaur and Tm4sf1) related to SCI using bioinformatics methods like WGCNA and LASSO regression. The expression of these genes was validated in SCI rats u...
KEY FINDING: Four characteristic disease genes associated with spinal cord injury were identified: Icam1, Ch25h, Plaur, and Tm4sf1.
Inflammation and Regeneration, 2024 • January 1, 2024
This study investigates the time-course effects of hepatocyte growth factor (HGF) on spinal cord injury (SCI) using RNA-seq data to identify early, continuous, and delayed effects of HGF. The research...
KEY FINDING: The study identified three distinct components in the effects of HGF: early effects, continuous effects, and delayed effects, each operating at different times post-SCI.
Journal of Hematology & Oncology, 2024 • March 11, 2024
This study investigates the proteomic landscape of esophageal squamous cell carcinoma (ESCC) in response to anti-PD1 immunotherapy to identify resistance mechanisms and predictive markers. The researc...
KEY FINDING: Immune and mitochondrial functions are associated with ESCC immunotherapy sensitivity.