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The TempO-Seq platform allows for targeted transcriptomic analysis and is currently used by many groups to perform high-throughput gene expression analysis. Herein we performed a comparison of gene expression characteristics measured using 45 purified RNA samples from the livers of rats exposed to chemicals that fall into one of five modes of action (MOAs). These samples have been previously evaluated using Affymetrix rat genome 230 2.0 microarrays and Illumina® whole transcriptome RNA-Seq. Comparison of these data with TempO-Seq analysis using the rat S1500+ beta gene set identified clear differences in the platforms related to signal to noise, root mean squared error, and/or sources of variability. Microarray and TempO-Seq captured the most variability in terms of MOA and chemical treatment whereas RNA-Seq had higher noise and larger differences between samples within a MOA. However, analysis of the data by hierarchical clustering, gene subnetwork connectivity and biological process representation of MOA-varying genes revealed that the samples clearly grouped by treatment as opposed to gene expression platform. Overall these findings demonstrate that the results from the TempO-Seq platform are consistent with findings on other more established approaches for measuring the genome-wide transcriptome.
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http://dx.doi.org/10.3389/fgene.2018.00485 | DOI Listing |
Dig Dis Sci
September 2025
Department of Gastroenterology and Hepatology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Background And Aims: Liver metastasis significantly contributes to poor survival in patients with colorectal cancer (CRC), posing therapeutic challenges due to limited understanding of its mechanisms. We aimed to identify a potential target critical for CRC liver metastasis.
Methods: We analyzed the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases and identified EphrinA3 (EFNA3) as a potential clinically relevant target.
Med Oncol
September 2025
Division of Hematology and Blood Bank, Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Acute Myeloid Leukemia (AML) patient-derived Mesenchymal Stem Cells (MSCs) behave differently than normal ones, creating a more protective environment for leukemia cells, making relapse harder to prevent. This study aimed to identify prognostic biomarkers and elucidate relevant biological pathways in AML by leveraging microarray data and advanced bioinformatics techniques. We retrieved the GSE122917 dataset from the NCBI Gene Expression Omnibus and performed differential expression analysis (DEA) within R Studio to identify differentially expressed genes (DEGs) among healthy donors, newly diagnosed AML patients, and relapsed AML patients.
View Article and Find Full Text PDFAppl Biochem Biotechnol
September 2025
Operating Room, Shanghai Tianyou Hospital, No.528, Zhennan Road, Putuo District, Shanghai, 200331, China.
Gastric cancer (GC) is a malignant tumor originating from the epithelial cells of the gastric mucosa. The 5-methylcytosine (mC) modification refers to the addition of a methyl group to the fifth carbon atom of cytosine in RNA molecules. This study aimed to investigate the role of NOL1/NOP2/SUN domain (NSUN)6 in GC and its underlying molecular mechanisms.
View Article and Find Full Text PDFActa Diabetol
September 2025
Department of Endocrinology & Metabolism, Medical College & Hospital, Kolkata, 88, College St. College Square, Kolkata, West Bengal, 700073, India.
Background And Aims: Gestational diabetes mellitus (GDM) is defined as glucose intolerance first identified during pregnancy that does not meet the criteria for overt diabetes. Its pathophysiology shares key features with type 2 diabetes mellitus (T2D), including insulin resistance and inflammation. Emerging evidence suggests that long non-coding RNAs (lncRNAs) are implicated in T2D.
View Article and Find Full Text PDFPlant Cell Rep
September 2025
Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, China.
Plasma membrane Gγ protein MGG4, the candidate for maize yield QTL, positively regulates seed size mainly through affecting kernel width.
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