Results 111 to 120 of about 902,749 (382)
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf +10 more
wiley +1 more source
Objective: To identify promising biomarkers for the pathogenesis of major depressive disorder (MDD). Methods: Microarray chips of MDD patients, including the GSE98793, GSE52790, and GSE39653 datasets, were obtained from the Gene Expression Omnibus ...
Ying Zeng +5 more
doaj +1 more source
A comparative study of different strategies of batch effect removal in microarray data: a case study of three datasets [PDF]
Batch effects refer to the systematic non-biological variability that is introduced by experimental design and sample processing in microarray experiments.
Ding, Fei
core
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
Workflow of a high‐throughput technology for epigenotyping of differentially methylated CpGs in specific regions of the genome. The protocol works with small amounts of DNA extracted from blood or semen. The protocol consists of both enzymatic conversion of unmethylated cytosines and capture by hybridization with a custom panel.
Nathalie Iannuccelli +4 more
wiley +1 more source
Elephant Search with Deep Learning for Microarray Data Analysis
Even though there is a plethora of research in Microarray gene expression data analysis, still, it poses challenges for researchers to effectively and efficiently analyze the large yet complex expression of genes.
Panda, Mrutyunjaya
core
Application of Volcano Plots in Analyses of mRNA Differential Expressions with Microarrays
Volcano plot displays unstandardized signal (e.g. log-fold-change) against noise-adjusted/standardized signal (e.g. t-statistic or -log10(p-value) from the t test).
Alvord W. G. +17 more
core +1 more source
INF2‐Related Charcot–Marie–Tooth Disease in a Japanese Cohort: Genetic and Clinical Insights
ABSTRACT Background INF2 mutations cause focal segmental glomerulosclerosis (FSGS) and Charcot–Marie–Tooth disease (CMT). Accurate genetic diagnosis is critical, as INF2‐related FSGS is typically resistant to immunotherapy yet rarely recurs after transplantation, and its associated neuropathy can mimic treatable immune‐mediated disorders such as ...
Chikashi Yano +27 more
wiley +1 more source
Towards data grids for microarray expression profiles [PDF]
The UK DTI funded Biomedical Research Informatics Delivered by Grid Enabled Services (BRIDGES) project developed a Grid infrastructure through which research into the genetic causes of hypertension could be supported by scientists within the large ...
Bayliss, C., Sinnott, R.O.
core +1 more source

