Articles tagged with Microarray Analysis
A team of researchers has mapped the key root-development pathway in Arabidopsis using an advanced genomic technique, revealing eight direct targets and numerous indirectly affected genes. The study provides new insights into plant development and function, shedding light on the complex regulatory network governing root growth.
A multi-site research team identified nearly 4,000 differentially regulated genes in mice with varying levels of alcohol consumption. The analysis revealed new candidate genes for further study, including some previously unknown, and provided valuable insights into the genetics of predisposition to drink alcohol.
Researchers have discovered nearly 4,000 genes associated with high and low alcohol consumption in mice, shedding light on the molecular mechanisms underlying excessive drinking. These findings could lead to new targets for treating alcoholism.
The study found that small mutations can change the binding site preference of the avian virus from bird to human receptors, increasing its chances of infection. This critical step is a key reason why most avian influenza viruses are not easily transmitted between humans.
The GeneChip Citrus Genome Array is a new tool that helps researchers identify genes associated with desirable traits in citrus, such as easy peeling and flavor components. The array will also aid in the development of new diagnostic tools for citrus agriculture and post-harvest fruit handling.
Researchers have developed a new application called spectral self-interference fluorescence microscopy (SSFM) that characterizes the structure of DNA molecules with sub-nanometer accuracy. Using this technique, the team estimated the shape of coiled single-stranded DNA and double-stranded DNA of different lengths.
Genomatix has developed a new version of ChipInspector specifically for analyzing exon arrays, which promises to enhance transcript separation and promoter identification. The updated tool is expected to be released in Q2 2006 and will be an integral part of Genomatix's complete microarray analysis pipeline.
Researchers at Carnegie Mellon University have developed a new method to identify gene activation in DNA microarrays with greater sensitivity and specificity. This innovation holds promise for improving research on complex biological systems, including stress response, cancer, and embryo development.
Associate Professor Peter Dodd's team is using microarray analysis to study brain tissue from dead alcoholics, aiming to identify genes responsible for the damage. The research could lead to a better understanding of neurological diseases and potentially develop a drug to reduce alcohol dependence.
The NIH has renewed its license with Genomatix, expanding the contract to include Microarray analysis Package ChipInspector. This move strengthens research capabilities in gene expression and regulation, facilitating high-level scientific results.
Research reveals that high TRAIL-R2 expression in breast cancer patients is associated with poorer survival outcomes. The AQUA TM system was used to analyze tissue microarray specimens and identify correlations between receptor expression levels and clinical variables.
Researchers used a new microarray technology to analyze the genes of healthy and diseased dogs, identifying 167 genes that may play a role in canine dilated cardiomyopathy. The study sheds light on the heart's response to disease and offers hope for future treatments.
A new printing method called Supramolecular Nano-Stamping (SuNS) enables the mass production of complex nano-scale patterns, including DNA microarrays. This could revolutionize diagnostics by making DNA analysis routine and inexpensive.
A recent study found that homemade gene expression technology is less reliable than commercial microarray platforms. The research, led by OHSU scientist Peter Spencer, used standardized protocols to compare lab-built and commercially produced microarrays, showing improved reproducibility with commercial platforms.
A recent study published in Nature Methods found that different microarray systems are more alike than previously thought, yielding comparable results when used properly. The study involved 10 laboratories using various platforms and showed that with proper methods and reporting, the results can be reliable across different platforms.
The study found that standardized processes and commercially manufactured microarrays lead to more consistent results. This standardization can improve clinical practice, including personalized medical treatments for diseases like breast cancer.
Researchers used microarray data to determine the order of genes in a pathway that results in a particular phenotype. By analyzing the interactions between genes, they were able to reconstruct the pathway and prove that gene A comes before gene B.
Research suggests that alcohol alters gene expression in the brain, contributing to addiction symptoms like tolerance and physical dependence. Gene expression profiling has identified specific genes and pathways involved in alcohol's effects on different brain regions.
Gene expression is a complex process that translates genetic information into biological activity, impacting various diseases. NIST's Metrology for Gene Expression Program aims to evaluate and standardize microarray analysis techniques to ensure quality and comparability.
Researchers have created a powerful 'toolkit' that enables fast and accurate functional profiling of yeast genes. By combining multiple techniques, the toolkit allows scientists to identify genes whose coupled elimination kills the yeast, providing valuable insights into gene interactions.
Researchers found that a significant percentage of microarray probes don't match the latest RefSeq database information, leading to inaccurate results. Sequence-verified probes perform more consistently and accurately, improving diagnostic power and analysis of existing data sets.
Researchers have developed a method to detect all cystic fibrosis mutations with 100% accuracy using microarray technology. The technology could be used to diagnose genetic diseases during preimplantation genetic diagnosis, providing rapid and reliable results.
Researchers developed a new technique to test hundreds of different biomaterials at once, improving the growth and differentiation of human embryonic stem cells. This breakthrough allows for more efficient screening of materials and could lead to breakthroughs in tissue engineering and synthetic skin production.
A consortium co-led by NIST is developing standards for well-characterized RNA molecules to validate gene chip analyses. These standards will enable technology developers and researchers to assess the performance of their assays, improving the reliability of microarray measurements.
A new gene-based screen developed by Stanford researchers can accurately predict a person's response to treatment and identify patients who may benefit from novel therapies. The screen uses a technique called RT-PCR to analyze genes associated with cancer survival, offering a more accessible alternative to existing microarray technology.
Researchers used gene chips to analyze the pattern of gene-expression changes for tuberculosis in a living host, discovering a specific set of genes activated after 21 days post-infection. This indicates that these genes help the pathogen survive within the host while avoiding detection by the immune system.
Researchers developed 'Library on a Slide' technique to compare bacterial genomes, allowing for efficient identification of genes associated with biological processes. The method involves printing genomic DNA at high density onto a glass slide and uses fluorescently labelled probes to detect target genes.
A new diagnostic tool, BCPC, uses microarray technology to analyze tumor genetic signatures and provide personalized treatment recommendations for breast cancer patients. The tool aims to improve patient outcomes by avoiding over-treatment and reducing costs of treatment.
The study found functionally related genes were co-expressed across six distantly related organisms, including bacteria, yeast, and human. The researchers discovered conserved transcription modules that provide clues to the evolutionary building blocks generating diversity in cells.
NYU scientists have developed a new mathematical method to analyze genetic data, reducing noise and errors in gene expression microarrays. The algorithm corrects for various types of errors and is expected to be widely incorporated in gene-related cancer research.
Researchers found new regions of the genome under circadian control using a technique called gene trapping, contradicting accepted dogma. The study suggests that clock-controlled mRNA synthesis may be more common than previously estimated, potentially leading to improved crop productivity and resistance to stressful conditions.
Researchers discovered a core set of essential genes that universally activate in human cancer, regardless of tissue origin. The findings suggest these genes are prime targets for new cancer-fighting drugs.
Scientists measured over 1,800 genes in sensory cells from the chicken inner ear, revealing significant differences between the cochlea and utricle. The study provides new insights into the causes of aging-related hearing loss and may lead to therapy that replaces lost sensory hair cells.
Researchers are uncovering key genes and their interactions in diseases such as Down's Syndrome, autism, and tuberculosis. The goal is to identify markers for disorders like autism that could be detected by blood tests, and develop new treatments like drugs targeting gene adaptation mechanisms.
Researchers at Johns Hopkins Medicine have created SNOMAD and DRAGON to help decipher the complex patterns of gene activity in brain tissue. By applying these tools to microarray data from conditions like Down syndrome, they aim to identify genes involved in causing problems.
Gavin Sherlock, PhD, director of the Stanford Microarray Database, discusses the history of gene microarray databases and their growing importance in making research data publicly available. A common standard, Minimal Information About a Microarray Experiment, has been established to facilitate easy access to the data.
A recent study found that women with negative Pap and HPV tests are at low risk for cervical intraepithelial neoplasia 3 or cancer, while those with a positive HPV test remain at risk. Researchers also discussed the challenges of analyzing DNA microarray data and recommended ways to improve its interpretation.
A new chip technology is being developed to analyze cancer genes, promising faster and more accurate diagnoses. The technology uses DNA microarrays to screen thousands of genes simultaneously, allowing for quicker testing than current methods.
Researchers developed a new technique to analyze RNA splicing in yeast, revealing the complex process of gene expression. By studying yeast genes with DNA microarrays, they gained insights into alternative splicing and its role in human diseases.
A team of researchers has established the first-ever gene profile of the aging human retina, revealing expression changes in genes involved in stress response and energy metabolism. The study's findings may help scientists understand how age predisposes individuals to age-related diseases such as AMD.
GenMAPP organizes gene expression results by biological process, allowing researchers to see coordinated changes in gene expression. The program uses graphical representations of biological pathways to analyze gene expression data, providing a systems approach to interpreting biological data.
Researchers at Stanford Medicine have identified hundreds of new genes involved in multiple sclerosis (MS) progression. The study found genes expressed differently in acute and chronic attacks, including those associated with pregnancy and allergic responses, which could lead to new treatment strategies.
A genomic study has identified 149 genes that are turned on or off during simulated asthma attacks in cynomolgus monkeys. The study uses microarray technology to analyze gene expression changes, providing valuable insights into the genetic regulation of asthma.
Researchers analyzed 99 patient samples and identified patterns of gene activity strongly associated with oestrogen receptor status and tumour grade. These findings may help characterize tumours more effectively and predict patient outcomes, including survival rates and relapse risk.
Researchers have discovered at least 100 genes that show significant differences in activity between non-invasive ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC). The study's findings suggest that defects in these genes may play a role in the progression from non-invasive to invasive cancer.
The new antigen microarrays can diagnose diseases on the first visit, enabling clinicians to pinpoint specific antigens under attack in autoimmune diseases. The arrays also aid in designing effective treatments tailored to individual patients, bypassing the entire immune system.
A new analysis method developed by Johns Hopkins Medicine allows for faster and more accurate determination of the human genome sequence. The technique identifies highly reliable data points within microarray sequences, enabling researchers to examine genetic variations linked to diseases such as high blood pressure and schizophrenia.
Yale researchers have created a microchip that can analyze virtually all yeast proteins, holding promise for advances in studying protein function in other organisms. The technology allows for faster understanding of protein interactions and could lead to breakthroughs in diagnostic methods, drug discovery, and therapies.
The NSF-funded Expresso project develops a computational system for microarray bioinformatics, enabling the automation of tedious methodological aspects. The project will be used for various experimental biology research projects, including Loblolly Pine tree drought resistance and human tissue analysis.
The study uses DNA microarray analysis to predict estrogen receptor status and lymph node involvement in breast tumors. This technique holds promise for improved clinical diagnosis and treatment strategies, potentially obviating the need for extensive surgery.