Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 231-240 of 334 results
Nucleic Acids Research, 2022 • September 26, 2022
The study introduces SCRIP, a computational method for inferring single-cell gene regulation networks by integrating scATAC-seq data with a large-scale ChIP-seq reference. SCRIP evaluates TR activity ...
KEY FINDING: SCRIP shows improved performance in evaluating TR binding activity compared to motif-based methods, with higher consistency with matched TR expressions.
npj Genomic Medicine, 2022 • August 8, 2022
Based on TCGA and TCGASpliceSeq databases, gene expression and the AS data of UCEC samples were retrieved. These findings indicate that HSPB1, a splicing factor, regulates the expression of ANKHD1-BP3 ...
KEY FINDING: An alternate terminator of ANKHD1 transcripts named ANKHD1-BP3 was found to be significantly related to metastasis and OS in UCEC and significantly associated with HSPB1.
Genomics Proteomics Bioinformatics, 2022 • September 29, 2022
The study introduces DrSim, a learning-based framework designed to infer similarity between transcriptional profiles for phenotypic drug discovery, addressing limitations of traditional unsupervised m...
KEY FINDING: DrSim outperforms existing methods in drug annotation, showing higher accuracy in predicting the mechanisms of action (MOAs) of compounds.
Neurospine, 2022 • September 1, 2022
This study aimed to identify differentially expressed genes (DEGs) by transcriptome analysis to elucidate a potential mechanism by which governor vessel electroacupuncture (GV-EA) promotes neuronal su...
KEY FINDING: GV-EA treatment regulated the expression of 173 mRNA, 260 lncRNA, and 153 circRNA genes altered by SCI.
Journal of Orthopaedic Surgery and Research, 2022 • October 4, 2022
The study aimed to develop a prediction model for functional outcomes in acute SCI patients using XGBoost. The XGBoost model, incorporating clinical features, MR imaging, and surgical timing, outperfo...
KEY FINDING: A nonlinear regression prediction model was successfully constructed using XGBoost for patients with acute SCI.
Computational and Mathematical Methods in Medicine, 2022 • October 1, 2022
This study explores the role of TRIM28 in LIHC, finding that its expression is upregulated in tumors and associated with poor prognosis. The research identifies correlations between TRIM28 expression ...
KEY FINDING: High TRIM28 expression level was associated with T classification, pathologic stage, histologic grade, and serum AFP levels.
Genome Biology, 2022 • October 4, 2022
This study presents a comprehensive evaluation of cell-cell interaction tools for scRNA-seq data by integrating spatial information to benchmark their performance. The spatial distance between interac...
KEY FINDING: The study found that cell-cell interactions predicted by different tools are highly dynamic, suggesting variability in the methods' outputs.
Oxidative Medicine and Cellular Longevity, 2022 • October 11, 2022
This study used bioinformatics analysis to identify genes associated with mitochondrial dysfunction in intervertebral disc degeneration (IDD). Datasets GSE70362 and GSE124272 were downloaded from the ...
KEY FINDING: Identified 152 differentially expressed genes (DEGs) between IDD patients and healthy controls, including 67 upregulated and 85 downregulated genes.
Nucleic Acids Research, 2023 • November 1, 2022
The Human Universal Single Cell Hub (HUSCH) is introduced as a curated database integrating single-cell transcriptomic profiles from nearly 3 million cells across 45 human tissues. HUSCH uniformly pro...
KEY FINDING: HUSCH integrates single-cell transcriptomic profiles of nearly 3 million cells from 185 high-quality human scRNA-seq datasets across 45 different tissues.
Heliyon, 2022 • October 13, 2022
This study investigates the dynamics of cartilage-derived stem/progenitor cells (CSPCs) in osteoarthritis (OA) progression using single-cell transcriptomic data. The research reveals that CSPC heterog...
KEY FINDING: CSPCs exhibit significant heterogeneity that is closely associated with the progression of OA, indicating that the characteristics of CSPCs change during OA progression.