AIMC Topic: Gene Expression
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Effects of docosahexaenoic acid on locomotor activity in ethanol-treated HIV-1 transgenic rats.
Journal of neurovirology
Dec 19, 2017
Binge drinking affects the onset and progression of human immunodeficiency virus (HIV)-associated neurological disorders. The HIV-1 transgenic (HIV-1Tg) rat was created with a gag- and pol-deleted HIV-1 viral genome to mimic HIV-infected patients rec...
Protective Effects of Garlic-Derived S-Allylmercaptocysteine on IL-1-Stimulated Chondrocytes by Regulation of MMPs/TIMP-1 Ratio and Type II Collagen Expression via Suppression of NF-B Pathway.
BioMed research international
Dec 3, 2017
BACKGROUND: Garlic-derived S-allylmercaptocysteine (SAMC) has widely been used in many disease therapies. However, the potential effects and mechanism of SAMC on IL-1-stimulated chondrocytes are unclear.
An ultrasensitive electrochemical immunosensor for Cry1Ab based on phage displayed peptides.
Talanta
Nov 22, 2017
The rapid and widespread adoption of Bacillus thuringiensis (Bt) proteins in genetically modified (GM) crops has raised concerns about the impact of GM crops on environment and food safety. A sensitive and specific method for detecting Bt proteins in...
Hemolysin Proteins
Plants, Genetically Modified
Protein Isoforms
Transgenes
Limit of Detection
Biosensing Techniques
Endotoxins
Immunoassay
Antibodies, Monoclonal
Peptide Library
Gene Expression
Bacillus thuringiensis
Electrodes
Electrochemical Techniques
Bacillus thuringiensis Toxins
Zea mays
Gold
Insecticides
Biological Variation, Individual
Bacterial Proteins
Metal Nanoparticles
Crops, Agricultural
Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis.
Acta neuropathologica
Nov 13, 2017
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with no effective treatments. Numerous RNA-binding proteins (RBPs) have been shown to be altered in ALS, with mutations in 11 RBPs causing familial forms of the disease, a...
Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.
PloS one
Oct 26, 2017
Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal...
A deep learning-based multi-model ensemble method for cancer prediction.
Computer methods and programs in biomedicine
Sep 14, 2017
BACKGROUND AND OBJECTIVE: Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughput sequencing technology and the application of various machine learning methods that have emerged i...
Two-way learning with one-way supervision for gene expression data.
BMC bioinformatics
Mar 4, 2017
BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated by adopting a mixture of factor analyzers model with a binary, row-stochastic factor loadings matrix...
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Feb 13, 2017
The treatment and management of early stage estrogen receptor positive (ER+) breast cancer is hindered by the difficulty in identifying patients who require adjuvant chemotherapy in contrast to those that will respond to hormonal therapy. To distingu...
Cancer subtype prediction from a pathway-level perspective by using a support vector machine based on integrated gene expression and protein network.
Computer methods and programs in biomedicine
Jan 20, 2017
BACKGROUND AND OBJECTIVE: Distinguishing cancer subtypes is critical for selecting the appropriate treatment strategy. Bioinformatics approaches have gradually taken the place of clinical observations and pathological experiments. However, these appr...
ADAMTS-3, -13, -16, and -19 levels in patients with habitual abortion.
The Kaohsiung journal of medical sciences
Dec 20, 2016
A disintegrin-like and metalloproteinase domain with thrombospondin-type 1 motifs (ADAMTS) protein superfamily includes 19 secreted metalloproteases. Proteolytic substrates of ADAMTS enzymes have been linked to reproductive function. The aim of this ...
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