Bioinformatics Research
Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 261-270 of 296 results
Single-cell dissection of multifocal bladder cancer reveals malignant and immune cells variation between primary and recurrent tumor lesions
Communications Biology, 2024 • December 2, 2024
The study provides a single-cell level atlas characterizing the tumor microenvironment (TME) in primary and recurrent multifocal bladder cancer (BLCA). Analyses reveal significant differences in malig...
KEY FINDING: Malignant cells from recurrent multifocal bladder cancer exhibited higher interregional transcriptional similarity and consistent cellular communication.
Alternative ANKHD1 transcript promotes proliferation and inhibits migration in uterine corpus endometrial carcinoma
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.
Meta Learning with Attention Based FP-GNNs for Few-Shot Molecular Property Prediction
ACS Omega, 2024 • May 23, 2024
This study introduces AttFPGNN-MAML, a novel architecture for few-shot molecular property prediction that addresses the low data problem by incorporating a hybrid feature representation and leveraging...
KEY FINDING: The AttFPGNN-MAML method outperformed other methods on three out of four tasks in the MoleculeNet dataset, demonstrating superior performance in few-shot learning settings.
Editorial: Cellular and Molecular Basis in Parasitic Diseases Control: Research Trends
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.
Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy
Sci China Life Sci, 2023 • May 1, 2023
The study introduces scPrivacy, a federated learning-based tool for privacy-preserving integration of single-cell RNA-seq data from multiple institutions for cell type identification. scPrivacy was ev...
KEY FINDING: scPrivacy effectively integrates information from multiple datasets while preserving data privacy, addressing a key challenge in single-cell data analysis.
Single-cell dissection of cervical cancer reveals key subsets of the tumor immune microenvironment
The EMBO Journal, 2023 • July 10, 2023
This study conducted single-cell RNA and TCR repertoire sequencing of primary CC tissues and adjacent normal tissues to decode the heterogeneity of the TME. The intra- and inter-tumoral heterogeneity ...
KEY FINDING: Cytotoxic large-clone T cells are critical effectors in the antitumor response.
Integrated systems analysis reveals conserved gene networks underlying response to spinal cord injury
eLife, 2018 • October 2, 2018
This study uses an integrated systems biology approach to understand the molecular mechanisms underlying spinal cord injury (SCI) pathophysiology. Large-scale RNA-seq data from healthy subjects was le...
KEY FINDING: Systematic literature analysis identified 695 unique human genes associated with the response to SCI by small-scale experiments.
Leveraging biomedical informatics for assessing plasticity and repair in primate spinal cord injury
Brain Res, 2015 • September 4, 2015
This review discusses the California Spinal Cord Consortium's (CSCC) work in developing a translational non-human primate model for spinal cord injury (SCI). The CSCC employs a biomedical informatics ...
KEY FINDING: The study highlights the development of a comprehensive preclinical data record for non-human primate SCI studies, including functional behavior, electrophysiology, kinematics, in vivo MRI, postmortem histopathology, and a full medical record.
Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery
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.
Genome-wide expression profile of the response to spinal cord injury in Xenopus laevis reveals extensive differences between regenerative and non-regenerative stages
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.