Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 301-310 of 334 results
Scientific Reports, 2017 • January 1, 2017
This study reports the genome wide transcriptome profile of IL1β induced human spinal cord reactive astrocytes. Comprehensive subnetwork analysis reveals genes, molecular functions, and signaling path...
KEY FINDING: IL1β induction in astrocytes resulted in reactive characteristics within 24 hours.
Comp Biochem Physiol C Toxicol Pharmacol, 2018 • June 1, 2018
This study investigates the molecular basis of positional memory and regeneration timing in axolotl limbs by examining gene expression differences between fore and upper arms during regeneration. The ...
KEY FINDING: Upper arms undergo more robust tissue remodeling and cell proliferation responses after amputation, potentially explaining the similar regeneration times between proximal and distal amputations.
BMC Genomics, 2017 • November 21, 2017
This meta-analysis compares gene expression profiles in response to wounding across different tissues and species. The study identifies genes with significant expression changes after wounding, compar...
KEY FINDING: Transcriptomic responses in early wound healing phases showed little consistency between tissues.
SCIENTIFIC REPORTS, 2018 • January 29, 2018
The study uses a systems biology approach and artificial intelligence to identify NeuroHeal, a neuroprotective drug combination for peripheral nerve root avulsion. NeuroHeal, consisting of acamprosate...
KEY FINDING: NeuroHeal, a combination of acamprosate (ACA) and ribavirin (RIB), promotes neuroprotection, nerve regeneration, and functional recovery.
Neural Regen Res, 2018 • March 1, 2018
This study aimed to investigate gene expression differences in the injured spinal cord between aged and young mice using microarray data. The study identified shared and unique differentially expresse...
KEY FINDING: Aged mice showed a higher number of differentially expressed genes (DEGs) after SCI compared to young mice.
Dev Neurobiol, 2018 • October 1, 2018
This integrated analysis substantiates the hypothesis that dynamic chromatin accessibility contributes to the developmental decline in axon growth ability and influences the efficacy of pro-regenerati...
KEY FINDING: Overall closure of chromatin in sub-networks of genes associated with axon growth was detected in the developing cortex.
Genomics, 2019 • December 1, 2019
This study compares the initial limb regeneration transcriptional response among ambystomatid salamanders using microarray and RNA-Seq. It identifies 405 non-redundant genes commonly and differently e...
KEY FINDING: Identified 405 non-redundant genes that were commonly, differentially expressed 24 h post amputation across three Ambystoma species.
Adv. Sci., 2018 • July 23, 2018
The study introduces DeepScreen, a deep learning-based drug screening system utilizing convolutional neural networks and flow cytometry single-cell images, to address the limitations of traditional me...
KEY FINDING: DeepScreen demonstrates high accuracy in assessing the efficacy of drugs and nanoformulated drug systems, achieving accuracies of 0.851, 0.864, and 0.908 in testing mixed cells, HEpG2, and A549 cells, respectively.
BMC Genomics, 2018 • September 13, 2018
This study presents the first de novo reference transcriptome of limb regeneration for Bolitoglossa ramosi, a plethodontid salamander. The study identified differentially expressed genes during limb r...
KEY FINDING: A de novo reference transcriptome for B. ramosi was generated, containing 433,809 transcripts and functional annotation for 142,926 non-redundant transcripts.
Scientific Reports, 2019 • January 17, 2019
We considered SCI-induced inflammatory mediators as a type of toxin that inhibits the regeneration of injured tissue/cells, and we identified the associated genes and interacting proteins from known b...
KEY FINDING: Tumor necrosis factor (TNF) had the highest scores, and the top 30 were adopted as core data.