Diffuse astrocytoma of World Health Organization (WHO) grade II has an inherent tendency to spontaneously progress to anaplastic astrocytoma (WHO grade III) and/or glioblastoma (WHO grade IV). The molecular basis of astrocytoma progression is still poorly understood, in particular with respect to the progression-associated changes at the mRNA level. Therefore, we compared the transcriptional profile of approximately 6800 genes in primary WHO grade II gliomas and corresponding recurrent high-grade (WHO grade III or IV) gliomas from eight patients using oligonucleotide-based microarray analysis. We identified 66 genes whose mRNA levels differed significantly (P < 0.01, > or =2-fold change) between the primary and recurrent tumors. The microarray data were corroborated by real-time reverse transcription-polymerase chain reaction analysis of 12 selected genes, including 7 genes with increased expression and 5 genes with reduced expression on progression. In addition, the expression of these 12 genes was determined in an independent series of 43 astrocytic gliomas (9 diffuse astrocytomas, 10 anaplastic astrocytomas, 17 primary, and 7 secondary glioblastomas). These analyses confirmed that the transcript levels of nine of the selected genes (COL4A2, FOXM1, MGP, TOP2A, CENPF, IGFBP4, VEGFA, ADD3, and CAMK2G) differed significantly in WHO grade II astrocytomas as compared to anaplastic astrocytomas and/or glioblastomas. Thus, we identified and validated a set of interesting candidate genes whose differential expression likely plays a role in astrocytoma progression.
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http://dx.doi.org/10.1016/S0002-9440(10)63463-3 | DOI Listing |
Sci Rep
April 2024
School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
With both foodborne illness and food spoilage detrimentally impacting human health and the economy, there is growing interest in the development of in situ sensors that offer real-time monitoring of food quality within enclosed food packages. While oligonucleotide-based fluorescent sensors have illustrated significant promise, the development of such on-food sensors requires consideration towards sensing-relevant fluorescence properties of target food products-information that has not yet been reported. To address this need, comprehensive fluorescence profiles for various contamination-prone food products are established in this study across several wavelengths and timepoints.
View Article and Find Full Text PDFJ Clin Lab Anal
June 2022
Faculty of Medicine, Institute of Human Genetics, University of Belgrade, Belgrade, Serbia.
Background: Array-based genomic analysis is a gold standard for the detection of copy number variations (CNVs) as an important source of benign as well as pathogenic variations in humans. The introduction of chromosomal microarray (CMA) has led to a significant leap in diagnostics of genetically caused congenital malformations and neurodevelopmental disorders, with an average diagnostic yield of 15%. Here, we present our experience from a single laboratory perspective in four years' postnatal clinical CMA application.
View Article and Find Full Text PDFMethods Mol Biol
June 2020
Neurovascular Research Laboratory, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
The exploration of the cerebrospinal fluid (CSF) through proteomics techniques might help in the search of molecular biomarkers relevant to neurological pathologies. Aiming this, we describe here a commercially available multiplexed proteomics technology based on the use of modified aptamers (SOMAscan™ assay). From our experience in exploring the rat CSF proteome, we detail the basic principles of this oligonucleotide-based proteomics approach, as well as the main data-processing steps to obtain relative quantitative values for proteins that could discriminate among different brain conditions, as an attempt in the search of neurological biomarkers.
View Article and Find Full Text PDFBMC Med Genomics
July 2019
Institute of Experimental Biology, Faculty of Science, Masaryk University, Kotlarska 267/2, Brno, Czech Republic.
Background: Chromosomal microarray analysis has been shown to be a valuable and cost effective assay for elucidating copy number variants (CNVs) in children with intellectual disability and developmental delay (ID/DD).
Methods: In our study, we performed array-based comparative genomic hybridization (array-CGH) analysis using oligonucleotide-based platforms in 542 Czech patients with ID/DD, autism spectrum disorders and multiple congenital abnormalities. Prior to the array-CGH analysis, all the patients were first examined karyotypically using G-banding.
Nat Rev Cardiol
November 2019
Institute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hannover, Germany.
Cardiovascular diseases are the leading cause of death globally and are associated with increasing financial expenditure. With the availability of next-generation sequencing technologies since the early 2000s, non-coding RNAs such as microRNAs, long non-coding RNAs and circular RNAs have been assessed as potential therapeutic targets for numerous diseases, including cardiovascular diseases. In this Review, we summarize current approaches employed to screen for novel coding and non-coding RNA candidates with diagnostic and therapeutic potential in cardiovascular disease, including next-generation sequencing, functional high-throughput RNA screening and single-cell sequencing technologies.
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