Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 1-10 of 334 results
BMC Developmental Biology, 2011 • November 15, 2011
The study characterizes tail regeneration in Xenopus tropicalis tadpoles and creates a transcriptomic resource to identify genes and processes modulated during vertebrate tissue repair and regeneratio...
KEY FINDING: Xenopus tropicalis tadpoles can regenerate their tails, including the spinal cord, muscle, and major blood vessels, similar to Xenopus laevis.
Cell Tissue Res, 2012 • December 22, 2011
This review discusses the potential of deoxyribozymes as therapeutic agents for central nervous system (CNS) trauma, particularly spinal cord injury (SCI), in conjunction with bioinformatics approache...
KEY FINDING: Deoxyribozymes, also called DNA enzymes or DNAzymes, are single-stranded DNA molecules developed using systematic evolution of ligands by exponential enrichment (SELEX).
PLoS ONE, 2014 • January 20, 2014
This study utilizes a high-density microarray to profile the temporal transcriptome dynamics during spinal cord regeneration in zebrafish, identifying 3842 differentially expressed genes. Cluster anal...
KEY FINDING: A total of 3842 genes were found to be differentially expressed during spinal cord regeneration, with maximum numbers of genes differentially expressed at 7 days post injury.
Neural Development, 2014 • May 22, 2014
This study investigates the transcriptome-wide response to spinal cord injury in regenerative (R-) and non-regenerative (NR-) stages of Xenopus laevis to identify mechanisms underlying successful rege...
KEY FINDING: Regenerative tadpoles showed extensive transcriptome changes at 1 day after injury, while non-regenerative froglets showed changes at 6 days after injury, indicating different kinetics in the responses.
Neural Regen Res, 2012 • July 1, 2012
This study used proteomic analysis to investigate protein expression changes in a rabbit model of spinal cord ischemia/reperfusion injury. The researchers identified 23 differentially expressed protei...
KEY FINDING: In the ischemia group, eight proteins were upregulated, and four were downregulated compared to the sham-surgery group.
Neural Regeneration Research, 2012 • February 1, 2012
This study analyzed differentially expressed proteins between motor and sensory nerves using two-dimensional gel electrophoresis and mass spectrometry. The results revealed differential expression of ...
KEY FINDING: Differential expression of 11 proteins was observed between motor and sensory nerves.
Neural Regeneration Research, 2025 • September 24, 2024
The review summarizes recent research on blood biomarkers for ALS to improve differential diagnosis and prognostic assessment beyond clinical manifestations and electromyography. Serum NFL is highligh...
KEY FINDING: Neurofilament light chain (NFL) in serum is a promising diagnostic and prognostic biomarker for ALS, exhibiting high specificity and sensitivity, and responding to treatment.
IBRO Neuroscience Reports, 2024 • September 21, 2024
The study identifies seven early signature genes of SCI (ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ) through bioinformatics analysis and experimental validation. Immune cell infiltration an...
KEY FINDING: Seven signature genes (ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ) were identified as potential biomarkers for early SCI diagnosis.
J. Imaging, 2024 • December 8, 2024
This study demonstrates the potential of radiomics for analyzing MRI scans of spinal cord injuries after surgery, even with metal artifacts. The use of multi-spectral imaging helps to suppress these a...
KEY FINDING: Radiomics can accurately differentiate between SCI patients and healthy controls. The machine learning model achieved an accuracy of 1.0 and an MCC of 0.97.
Journal of Central Nervous System Disease, 2025 • January 1, 2025
This report demonstrated the potential value of transforming grayscale MRI images into color, visually enhancing the anatomical data and possibly providing more information that may inform on the impa...
KEY FINDING: The transformation of grayscale MRI FLAIR images to color via generative AI revealed heterogeneity in the T2-hyperintensities present with some of the lesions having a more yellow appearance and others appearing more white in color