Refine by
Microarray Articles & Analysis
41 articles found
What is Microarray Printing? Microarray printing is a high-throughput technique used to create arrays of biological molecules—such as DNA, RNA, proteins, or glycans—on a solid surface, usually a glass slide or membrane. ...
In addition to raw sequence data, you can also submit computationally assembled sequences, genomes, functional genomics data, microarray data, clinical data, genome variations, and other data types, such as PacBio methylation data. ...
It consists of a solid support, such as a glass slide or a microarray chip, onto which a library of different glycans is immobilized. ...
CD Genomics is a world-leading genomics services company that continues to innovate in high throughput sequencing services for the genomics industry, as well as genotyping, bioinformatics, microarrays, and more. The company has recently launched TCR-seq, a powerful service that enables rapid and efficient analysis of T-cell receptor (TCR) diversity and clonality, providing ...
An in-depth understanding of the underlying mechanisms of how to govern these complex gene expression networks is vital for the treatment of complex diseases such as cancer. Hybridization-based microarrays are used to allow the simultaneous monitoring of expression levels of annotated genes in cell populations. ...
If you are rusty on these, I provide some easy-to-understand explanations of these in Chapter 8 of my book Statistics and Data Analysis for Microarrays Using R and Bioconductor. If one wants to be super picky, this approach also has a limitation. ...
Gene expression profiles were generated using formalin-fixed, paraffin-embedded tissue samples and microarrays. Data analysis was performed using a supervised clustering method. ...
Abstract Background Cancer genomic signatures may vary using different platforms. We compared the differential gene expression in non-small cell lung cancer (NSCLC) between two platforms in order to find the most relevant genomic signatures of tumor recurrence. Materials and Methods We analyzed gene expression in frozen lung cancer tissue from 59 selected patients who had undergone surgical ...
We propose using artificial intelligence to analyze a microarray of > 20,000 well-annotated genes to create a model that predicts recurrence after surgical resection of stage I-II lung cancer. ...
Recent advances in expression genomics have enabled the use of DNA microarray to profile gene expression of various cancers. These expression profiles may be suitable for molecular classification and prediction of disease outcome and treatment response. ...
However, unlike associated diseases caused by genetic mutations, many epigenetic alterations are reversible, which offers optimistic prospects for disease treatment. What is A Gene Microarray? Microarray is also commonly known as gene chip, also known as DNA microarray. ...
In human species, SNP microarrays can simultaneously analyze all 23 chromosome pairs and can also be used to identify mutations in individual genes. In addition, SNPs can be used for genotyping, i.e., determining the proportion of each allelic variant combination at each nucleotide position. The basic principle of SNP microarrays is similar to that of DNA ...
Digested DNA can be analyzed by sequencing or microarray to map methylation sites. For histone modifications, chromatin immunoprecipitation (ChIP) is a widely used technique for identifying localized post-translational modifications in histone tails and monitoring changes in modifications in response to different stimuli. ...
In summary, in this study, the researchers found a particularly effective method that may identify cancer-specific conformational epitopes on widely expressed proteins by screening primary tumor samples that cannot be detected by transcriptome or proteome analysis, and this method may help expand microarray studies of cancer-specific surface antigens that can be used for future ...
RNA Sequencing Approach to Identify Biomarkers Although mixed results have been obtained, microarray analysis and RT-qPCR, which are widely used for detecting known RNAs, have provided a wealth of information about transcriptional profiles in pathological states. ...
The proposed method has been extensively evaluated on tissue microarray (TMA) whole slides, and the cell detection performance is comparable to manual annotations and is very accurate compared with the estimation of an experienced pathologist. ...
However, despite their promise, transcriptome studies are difficult due to the obvious difficulties in obtaining brain tissue and the fragile nature of isolated RNA. Microarray analysis, which is widely used for ND and neuropsychiatric disorders, has provided a wealth of information about transcriptional profiles in pathological states, despite mixed results. The loss of ...
Culture-independent methods, including DNA hybridization (e.g., microarray and fluorescent in situ hybridization), DNA cloning, and PCR, have been employed to detect individual members and/or functional genes in microbial communities in an attempt to overcome this fundamental issue. ...
RNA-seq promised unprecedented sensitivity for sensing the expression differences among rare transcripts, splice variants, and microRNAs, then quickly surpassing microarrays as the high-throughput method for studying differential expression in non-model species. ...
Today, commercially available microarray-based tests enable more accurate cancer profiling based on genetic biomarkers like HER2, ER, and PR. ...