Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 221-230 of 334 results
J. Pers. Med., 2022 • March 22, 2022
The present review focuses on key advances in machine and deep learning, allowing for multi-perspective pattern recognition across the entire information set of patients in spine surgery. This is the ...
KEY FINDING: The review focuses on key advances in machine and deep learning, allowing for multi-perspective pattern recognition across the entire information set of patients in spine surgery.
Frontiers in Cell and Developmental Biology, 2022 • April 13, 2022
The editorial provides an overview of the recent advancements in parasitic disease control by utilizing novel tools and methodologies developed in genomic, epigenomic, proteomics, and metabolomics res...
KEY FINDING: High-quality genome assembly of Moniezia expansa reveals potential target molecules for treating parasitic diseases through the identification of specific fatty acid metabolism and reproductive stem cell regulatory networks.
Disease Markers, 2022 • May 11, 2022
The study investigates the role of DYNC1H1 in LIHC using bioinformatics and experimental analysis, finding that DYNC1H1 expression is associated with clinicopathological features and poor prognosis. G...
KEY FINDING: DYNC1H1 expression levels were associated with T classification, pathologic stage, histologic grade, and serum AFP levels in LIHC patients.
Diagnostics, 2022 • May 10, 2022
The study addresses the need for a sample storage buffer (SSB) that inactivates SARS-CoV-2 while preserving viral RNA for reliable diagnostics and sequencing. The developed guanidine-hydrochloride-bas...
KEY FINDING: The guanidine-hydrochloride-based storage buffer (SSB-4M) is compatible with commercially available and in-house GuHCl-based RNA extraction methods.
Neurosci. Bull., 2023 • February 1, 2023
This study uses spatial transcriptomics to analyze gene expression patterns during glial scar formation after spinal cord injury in mice. It identifies key cell types, their spatial distribution, and ...
KEY FINDING: The study identified key regulators in specific cell types, such as Thbs1 and Col1a2 in macrophages.
J. Clin. Med., 2022 • July 13, 2022
This study investigates the application of artificial intelligence-based algorithms to predict prolonged hospital length of stay (LOS) after lumbar decompression surgery. The findings suggest that mac...
KEY FINDING: Machine learning and deep learning algorithms can predict whether patients will experience an increased LOS following lumbar decompression surgery.
iScience, 2022 • August 19, 2022
Tetraspanins (TSPANs) are a class of four-transmembrane segmented proteins. The precise functions of TSPANs and their roles in pan-cancer are unclear. In this work, we analyzed 24 TSPAN family genes i...
KEY FINDING: TSPAN3-6, TSPAN9-11, TSPAN13-15, TSPAN17, TSPAN31, TSPAN33 are mainly upregulated, and TSPAN2, TSPAN7 are mainly downregulated.
FEBS Open Bio, 2022 • January 1, 2022
This study identifies differentially-expressed innate immune-related genes and hub genes following spinal cord injury (SCI). Temporal expression patterns of these genes were analyzed and validated to ...
KEY FINDING: Nine hub genes (Ccl2, Stat3, Mapk14, Stat1, Tlr2, Cxcl10, Myd88, Itgam, and Mapk8) were identified as key players in the innate immune response after SCI.
Frontiers in Psychiatry, 2022 • August 23, 2022
This study used integrated co-expression network analysis to identify tissue-specific gene modules and functions in major depressive disorder (MDD) and bipolar disorder (BP). The analysis revealed nin...
KEY FINDING: Nine tissue-specific modules were identified in MDD across four tissues, and six modules in BP.
Acta Neuropathologica, 2022 • September 16, 2022
The study generated an integrated cell type-specific transcriptomic atlas of MS pathology spanning three major CNS sites including leukocortical, cerebellar and spinal cord areas. The study identified...
KEY FINDING: While we found strong cross-regional diversity among glial subtypes in control tissue, regional signatures become more obscure in MS.