Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 251-260 of 334 results
Int. J. Mol. Sci., 2023 • March 29, 2023
This study explores the vascular response after traumatic spinal cord injury (SCI) in mice, focusing on the subacute injury phase (3-7 days post-injury) when the blood-spinal cord barrier (BSCB) is ab...
KEY FINDING: Cd9 and Mylip genes were identified as differentially expressed at 3 and 7 days post-injury (dpi) in a mouse contusion model of spinal cord injury.
BMC Genomics, 2023 • April 5, 2023
This study presents a high-quality genome of Whitmania pigra, and reports a transcriptome covering the starting point of cell differentiation to individual maturation. We described the whole process o...
KEY FINDING: Five broad stages of embryogenesis were defined: cleavage stages, blastocyst stage, gastrula stage, organogenesis and refinement, juvenile.
Frontiers in Cellular Neuroscience, 2023 • April 20, 2023
Reactive astrogliosis is a response of astrocytes to CNS disturbances, altering their numbers, morphology, and function. Single-cell transcriptomics highlights the heterogeneity of reactive astrocytes...
KEY FINDING: Single-cell transcriptomics has revealed remarkable heterogeneity of reactive astrocytes, indicating their multifaceted functions in a whole spectrum of neuropathologies, with important temporal and spatial resolution, both in the brain and in the spinal cord.
The EMBO Journal, 2023 • July 10, 2023
This study conducted single-cell RNA and TCR repertoire sequencing of primary CC tissues and adjacent normal tissues to decode the heterogeneity of the TME. The intra- and inter-tumoral heterogeneity ...
KEY FINDING: Cytotoxic large-clone T cells are critical effectors in the antitumor response.
Neural Regeneration Research, 2023 • December 1, 2023
This research explores the transcriptomic changes during spinal cord regeneration in Cynops orientalis following injury, identifying differentially expressed genes at acute (4 days) and subacute (7 da...
KEY FINDING: 13,059 genes were differentially expressed during C. orientalis spinal cord regeneration compared with uninjured animals, with 4273 continuously down-regulated and 1564 continuously up-regulated.
Front. Mol. Biosci., 2023 • July 14, 2023
The study explores gene signatures and immune cell infiltration related to IDD using bioinformatics analysis. Key findings include the identification of differentially expressed mRNAs, miRNAs, lncRNAs...
KEY FINDING: Identified 346 differentially expressed mRNAs, 12 differentially expressed miRNAs, 883 differentially expressed lncRNAs, and 916 differentially expressed circRNAs in the GEO database.
Cell Reports Methods, 2023 • September 25, 2023
The rapid accumulation of single-cell RNA-seq data has provided rich resources to characterize various human cell populations. Here, we introduce SELINA (single-cell identity navigator), an integrativ...
KEY FINDING: SELINA combines SMOTE, MADA, and an autoencoder to improve annotation accuracy.
Bioengineering, 2023 • September 10, 2023
The study developed deep learning models to automate the detection and measurement of the dural sack cross-sectional area (DSCA) in lumbar spine MRI. The MultiResUNet model achieved the highest accura...
KEY FINDING: The MultiResUNet model showed the best performance, with high accuracy in both initial and external validation datasets.
BMC Musculoskeletal Disorders, 2023 • September 24, 2023
This study explores the potential of combining radiomics features from MRI images with clinical features to predict outcomes after lumbar disc herniation surgery using AI techniques. The results sugge...
KEY FINDING: The inclusion of radiomics features alongside clinical variables led to a slight enhancement in predictive accuracy for surgical outcomes.
PLOS ONE, 2023 • October 12, 2023
This study presents a deep learning approach for the fully automatic segmentation of vessels in mice brains using a shallow U-Net model trained on a small μMRI reference dataset. The proposed methodol...
KEY FINDING: Deep learning architectures, specifically a shallow 3D U-Net model, are applicable for segmenting mice brain vessels using small μMRI reference datasets.