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Making Spinal Cord Injury (SCI) Research Accessible to Everyone. Simplified summaries of the latest research, designed for patients, caregivers and anybody who's interested.

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Bioinformatics Research

Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.

Showing 281-290 of 334 results

Medical ImagingOrthopedicsBioinformatics

Experimental and clinical validation of an artificial intelligence metal artifact correction algorithm for low-dose following up CT of percutaneous vertebroplasty

Quant Imaging Med Surg, 2024 • April 10, 2024

The study validated an AI-based MAC algorithm for improving image quality in low-dose CT scans following percutaneous vertebroplasty (PVP). The AI-MAC algorithm demonstrated superior performance compa...

KEY FINDING: AI-MAC demonstrated no significant difference compared to reference images in CT attenuation, image noise, signal-to-noise ratios (SNRs), and contrast-to-noise ratio (CNR).

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GeneticsBioinformatics

Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models

Nature Communications, 2024 • November 7, 2024

This study introduces CHOOSER, an AI framework for alignment-free discovery of CRISPR-Cas systems with self-processing pre-crRNA capability using protein foundation models. By using CHOOSER, the study...

KEY FINDING: CHOOSER identifies 3477 potential CRISPR-Cas systems, enhancing the number of known type II, type V, and type VI systems.

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GeneticsBioinformatics

Author Correction: Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models

Nature Communications, 2025 • January 1, 2025

This document is an author correction for a previously published article in Nature Communications. The correction pertains to the affiliation details of one of the authors, Jun Zhang. The corrected af...

KEY FINDING: This is a correction to the author's affiliation; there are no key findings reported here.

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Spinal Cord InjuryImmunologyGeneticsBioinformaticsBiomedical

Ferroptosis‑related genes participate in the microglia‑induced neuroinflammation of spinal cord injury via NF‑κB signaling: evidence from integrated single‑cell and spatial transcriptomic analysis

Journal of Translational Medicine, 2025 • January 8, 2025

The study identifies key biomarkers related to ferroptosis and the immune microenvironment after SCI, providing clues for subsequent studies at the transcriptional and single-cell levels. WGCNA identi...

KEY FINDING: A novel subcluster of microglia exhibiting M1 polarization and a ferroptosis phenotype is involved in SCI, potentially triggering neuroinflammation and neuronal degeneration.

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NeurologyGeneticsBioinformatics

Single-cell chromatin accessibility landscape profiling reveals the diversity of epigenetic regulation in the rat nervous system

Scientific Data, 2025 • January 6, 2025

This study presents a comprehensive chromatin accessibility dataset of the rat nervous system using single-cell ATAC-seq, profiling 174,593 high-quality nuclei from 16 adult rat brain regions. The res...

KEY FINDING: Identified cell subtypes of both neuronal and non-neuronal cells with highly specific distributions in 16 adult rat brain regions.

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Spinal Cord InjuryBioinformaticsRehabilitation

Evaluation of transcriptomic changes after photobiomodulation in spinal cord injury

Scientific Reports, 2025 • January 29, 2025

This study uses a transcriptomic approach to investigate the mechanisms by which photobiomodulation (PBM) exerts its effects on spinal cord injury (SCI) in rats. The findings indicate that PBM promote...

KEY FINDING: PBM treatment resulted in 1275 differentially expressed genes (DEGs), with 397 upregulated and 878 downregulated, indicating a significant change in gene expression patterns after PBM.

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Spinal Cord InjuryBioinformaticsResearch Methodology & Design

A comprehensive transcriptional reference for severity and progression in spinal cord injury reveals novel translational biomarker genes

Journal of Translational Medicine, 2025 • January 1, 2025

This study provides a comprehensive transcriptomic meta-analysis of rat spinal cord injury (SCI) datasets, integrating diverse experimental models based on injury severity and time post-injury. The re...

KEY FINDING: The study identified severity-specific biomarker genes that allow precise classification of transcriptomic profiles, indicating potential for injury prognosis prediction.

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Spinal Cord InjuryBioinformaticsResearch Methodology & Design

Leveraging biomedical informatics for assessing plasticity and repair in primate spinal cord injury

Brain Res, 2015 • September 4, 2015

This review discusses the California Spinal Cord Consortium's (CSCC) work in developing a translational non-human primate model for spinal cord injury (SCI). The CSCC employs a biomedical informatics ...

KEY FINDING: The study highlights the development of a comprehensive preclinical data record for non-human primate SCI studies, including functional behavior, electrophysiology, kinematics, in vivo MRI, postmortem histopathology, and a full medical record.

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NeurologyBioinformatics

The central nervous system transcriptome of the weakly electric brown ghost knifefish (Apteronotus leptorhynchus): de novo assembly, annotation, and proteomics validation

BMC Genomics, 2015 • March 11, 2015

This study presents the first annotated de novo transcriptome assembly for Apteronotus leptorhynchus, offering a broad view of RNA expressed in the central nervous system. The assembly includes substa...

KEY FINDING: The de novo assembly uncovered 42,459 unique contigs containing at least a partial protein-coding sequence based on alignment to Actinopterygii sequences.

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Regenerative MedicineBioinformatics

StemChecker: a web-based tool to discover and explore stemness signatures in gene sets

Nucleic Acids Research, 2015 • May 24, 2015

StemChecker is a web-based tool designed to help researchers discover and explore stemness signatures in gene sets. It addresses the limitations of existing resources by providing a comprehensive and ...

KEY FINDING: StemChecker is based on the most extensive and up-to-date curation of published stemness signatures.

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