Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 111-120 of 296 results
JOURNAL OF NEUROTRAUMA, 2018 • August 1, 2018
This study investigated gene expression in individuals with chronic SCI compared to uninjured individuals to understand immune dysfunction. The study identified differentially expressed genes related ...
KEY FINDING: There is a marked downregulation of natural killer cell genes in individuals with chronic SCI.
Neural Regeneration Research, 2018 • September 1, 2018
This mini-review discusses two recent studies that used functional genomics to investigate gene expression in circulating leukocytes isolated from persons with SCI to identify therapeutic strategies t...
KEY FINDING: Individuals with SCI levels rostral to T5, where sympathetic nervous system disruption would occur, had more differentially expressed genes (N = 2226) compared to able-bodied participants.
Neural Regen Res, 2019 • May 1, 2019
This study investigated the relationship between tau protein levels in serum and cerebrospinal fluid (CSF) and the severity and functional outcome of traumatic spinal cord injury (SCI) in rats. The st...
KEY FINDING: Tau protein levels in serum and CSF increased rapidly after SCI, peaking at 12 hours.
Front. Mol. Neurosci., 2019 • January 14, 2019
The study investigated circRNA expression patterns in rats after traumatic SCI using microarray and qRT-PCR, identifying 1676 differentially expressed circRNAs. Bioinformatics analysis predicted circR...
KEY FINDING: A total of 1676 differentially expressed circRNAs were found in spinal cord 3 days after contusion. 1261 circRNAs were significantly downregulated, whereas the remaining 415 were significantly upregulated.
MOLECULAR MEDICINE REPORTS, 2019 • January 1, 2019
The study aimed to identify critical genes and mechanisms involved in spinal cord injury (SCI) using gene expression profiles from trkB.T1 knockout mice. Differentially expressed genes (DEGs) were scr...
KEY FINDING: A total of 664 DEGs in the sham group and SCI groups at days 1, 3, and 7 following injury were identified in trkB.T1 KO mice.
Nature Communications, 2021 • May 6, 2021
This study introduces a deep learning-based platform for identifying the differentiation of neural stem cells (NSCs) into specific cell types, particularly neurons, astrocytes, and oligodendrocytes. T...
KEY FINDING: A deep learning-based model can accurately identify differentiated cell types from brightfield images of NSCs as early as 1 day of culture.
PM R, 2014 • April 1, 2014
This study investigated monocyte phenotypes in acute SCI and their correlation with circulating cytokine profiles. The study identified distinct M1/M2 monocyte dominance in SCI patients, correlating w...
KEY FINDING: Patients with SCI exhibit either M1-dominant or M2-dominant circulating monocytes (MOs), which are distinct from uninjured controls.
The Journal of Neuroscience, 2015 • October 14, 2015
Transcriptomic approaches are used to identify molecular mechanisms for neural repair. RNA-Seq technology improves the ability to understand gene expression network regulation. Activation of a core tr...
KEY FINDING: RNA-Seq technology improves the ability to understand gene expression network regulation, because it can identify isoform-specific gene regulators. This allows defining precise transcription start sites and 3' untranslated regions for each differentially expressed isoform.
Neural Regeneration Research, 2021 • May 1, 2021
This study aimed to identify differentially expressed genes (DEGs) associated with both acute and chronic phases of spinal cord injury (SCI) using bioinformatics analysis of gene expression profiles. ...
KEY FINDING: Approximately 66 DEGs were identified in GSE45550 between 3–14 days after SCI, whereas 2418 DEGs were identified in GSE45006 1–56 days after SCI.
Neural Regen Res, 2021 • December 12, 2020
This study aimed to reveal the intracellular mechanism in axotomized neurons in the CRMP2 knock-in (CRMP2KI) mouse model by performing transcriptome analysis in mouse sensorimotor cortex using micro-d...
KEY FINDING: CRMP2KI suppresses somatic atrophy in sensorimotor cortex after spinal cord injury