Researchers analyzed gene expression patterns in blood samples from patients with Huntington's disease (HD) and asymptomatic carriers to identify potential biomarkers. The study found 12 genes with significantly altered expression levels, which rose to disease-associated levels as carriers approached symptom onset.
Researchers discovered that a vascular gene plays a crucial role in the growth of blood vessels in brain cells. Restoring its expression level stimulates new vessel formation and improves clearance of amyloid beta peptide, a toxin associated with Alzheimer's disease.
The human cerebellum and cortex age at vastly different rates, with the cortex showing pronounced and consistent changes, while the cerebellum experiences smaller and less coordinated changes. This study, published in PLoS Biology, reveals that the functions of brain regions influence how they age.
The study found age-related changes in gene expression in the human brain's cortex, but not in non-brain tissues. The results support a theory that DNA damage and protein degradation contribute to aging, with more metabolically active tissues showing greater gene activity reduction.
Researchers at UT Southwestern Medical Center have developed a new gene silencing technique that targets chromosomal DNA to shut down gene expression in cultured cells. By blocking the ability of chromosomal DNA to be copied into RNA and made into proteins, this approach offers a promising strategy for treating and curing disease.
Researchers identified 80 genes involved in flower development, shedding light on the regulation of floral organ identity and patterning. The gene trap technique provided a powerful tool for examining gene expression and function, revealing novel insights into floral development.
Researchers have developed a new statistical method to identify linked genomic loci influencing gene expression in yeast, revealing 37% of gene expression traits link to two loci. The technique bypasses overwhelming computations and provides insights into the genetic basis of complex traits.
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 found that cells in the caudal region of the suprachiasmatic nuclei (SCN) synchronize their gene-expression rhythms to dawn, while those in the rostral SCN exhibit an opposite response. This suggests that synchronous gene expression may be a hallmark of short-day acclimation, while regional de-synchrony increases on long days.
Researchers identified an 11-gene BMI-1-pathway signature that consistently predicts disease recurrence, metastasis, and death after therapy in cancer patients. The presence of this gene expression pathway is associated with a high probability of poor therapy outcome and metastasis.
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 new software called Notung allows researchers to identify genes that arose recently and understand their role in modern organisms. The tool uses evolutionary scenarios and gene duplications to provide insights into gene evolution and function.
A team of researchers, including a UCR chemist, has discovered a novel site of histone acetylation that regulates gene expression in yeast. The study used mass spectrometry to show that this new site is associated with gene activation by attracting the SWI/SNF chromatin remodeling complex.
Researchers found that advanced NSCLC patients with high EGFR gene copy number, protein expression, or mutations respond better to gefitinib. High EGFR gene copy number is associated with prolonged survival and disease control.
Researchers developed a method combining DNA sampling and mathematical modeling to measure methylation patterns during DNA replication. This technique allows examining how faithfully maintenance methylation is carried out across generations, which is crucial in understanding gene expression and its role in human disease.
A new study identifies SERPINE2 as a novel candidate gene for COPD, particularly in individuals who smoke. The research reveals that SERPINE2 is expressed in lung tissues and cells, and its expression is altered in people with certain clinical characteristics of COPD.
Researchers at Emory University Health Sciences Center have identified a new tumor suppressor gene, ATBF1, which inhibits cell proliferation. This finding suggests that ATBF1 may play a role in the development of prostate cancer and potentially other types of cancers.
Researchers discovered that bacteria's pili induce changes in host gene expression, keeping host cells alive longer. The study found that artificial mechanical pull on the host cell membrane triggers a signaling cascade to affect host gene expression.
Researchers created a platform technology that can be adapted for various tissue types and preclinical uses, enabling real-time monitoring of gene expression. This approach uses magnetic resonance imaging (MRI) to non-invasively image cells at high resolution, providing insights into disease mechanisms.
Scientists have discovered that microRNA works in conjunction with multiple proteins to target messenger RNA, regulating genetic expression. This discovery sheds light on the stability and degradation of mRNA, a crucial process in controlling gene expression and preventing diseases like cancer and septic shock.
A new tumor-suppressor gene called mats has been discovered by researchers at Penn State, which works with another tumor suppressor to control tissue growth. The study found that the mats gene can shrink tumors in flies and may regulate cell number and tissue growth by restricting cell proliferation.
Researchers have identified networks of genes that respond to alcohol in the brain, which may play a role in determining genetic differences in behavioral responses to alcohol. The study found that certain genes were regulated differently in two mouse strains, leading to distinct behavioral responses to alcohol.
The new version of GenMAPP 2.0 incorporates various features to organize and analyze gene expression data on biological pathways, including a flexible format accepting multiple gene ID systems and species-specific databases. This update complements hierarchical clustering methods and enables convenient display of data on web sites.
Researchers at Michigan State University have discovered a gene, oct-4, expressed in normal adult stem cells, which could lead to the development of cancer prevention and diagnosis tools. The study found that adult stem cells with the oct-4 gene are more prone to becoming cancerous than those without it.
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.
Researchers discover that the nuclear hormone receptor nhr-49 controls two opposing pathways regulating fat metabolism in nematodes. The discovery reveals a complex feedback system controlling fat consumption and composition, with potential implications for understanding human metabolic disorders such as diabetes and obesity.
Researchers have identified two distinct gene expression profiles in children with acute asthma, which could lead to customized treatments. The study's findings may enable targeted therapies for acute asthma attacks and help predict impending attacks by analyzing a patient's unique genetic profile.
Researchers found that MECP2 target gene DLX5 is overexpressed in RTT patients due to loss of silent chromatin looping and impaired imprinting. This misregulation leads to increased expression of GABA, a neurotransmitter essential for brain function.
Researchers from the University of Toronto developed a new method for predicting mammalian gene function by analyzing RNA expression patterns. They used a support vector machine algorithm to analyze over 40,000 known mouse mRNAs and predicted functions for thousands of genes, with high accuracy.
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 at Johns Hopkins Medicine have developed a genetic test that accurately distinguishes between ischemic and nonischemic heart failure. The test uses gene expression profiling to identify 90 genes that differentiate the two forms of the disease, improving accuracy and potentially leading to better treatment outcomes.
Research suggests that retrotransposons, previously considered 'junk DNA', can initiate synchronous gene expression in mouse eggs and early embryos. This discovery may contribute to the reprogramming of the mammalian embryonic genome.
Researchers have developed a novel gene regulation strategy using ribozymes, which can be controlled with virtually any drug, offering a safer alternative to existing methods. The technique enables the easy turn on and off of genes, allowing for potential applications in therapeutic and research settings.
A study has identified two distinct subclasses of liver cancer with differing survival rates, providing new molecular insight into the pathogenesis of hepatocellular carcinoma. The findings suggest that gene expression profiles can accurately predict patient survival and may lead to the development of more targeted therapies.
Researchers have created a molecular timetable that can accurately determine an animal's body time based on gene expression levels. The study identified 168 genes with high amplitude circadian patterns and organized them into a daily schedule, revealing a highly accurate method for measuring body time.
Researchers identified two genetic signatures in CLL samples, one associated with a good prognosis and the other with a mutation in the Ig gene. The study suggests that miRNA expression may be used to predict CLL behavior and provides new targets for future drug development.
Researchers found that DksA is crucial for regulating gene expression in bacteria, enabling them to survive and resist antibiotics. By targeting this protein, scientists may develop novel antibacterial drugs that reduce resistance.
Researchers discovered that nucleosomes can move to different spots in the genome, enabling efficient gene expression and regulating gene activity. This chromosomal remodeling process allows cells to turn genes on or off as needed.
Researchers identified 671 genes with altered expression in prostate cancer tissue, revealing a high degree of similarity between benign adjacent tissue and cancerous tissue. The study found that genetic alterations occur throughout the gland, even in seemingly benign areas, providing new insights into prostate cancer progression.
A new study reveals gene microarray technology can accurately diagnose acute myeloid leukemia subtypes, leading to better treatments. The signatures of gene expression identified in pediatric leukemias also apply to adult cases, improving diagnosis and treatment outcomes.
A recent study by Takayuki Onai et al. reveals that XsalF, the Xenopus homolog of spalt, regulates forebrain and midbrain-specific gene expression. The research demonstrates direct linkage between XsalF expression and forebrain/midbrain identity.
Researchers found that ALCAM gene expression is significantly lower in higher-grade tumors and those with a worse prognosis. This suggests that decreased ALCAM expression indicates a more aggressive phenotype and poor prognosis in breast cancer.
Researchers at Thomas Jefferson University have developed a microarray chip that can track the genetic signature of cancer and normal tissue by analyzing miRNA gene expression patterns. This technology has the potential to provide new targets for drug development and improve our understanding of cancer phenotypes.
Researchers at Brigham and Women's Hospital have developed a strategy using small interfering RNA to enhance cancer treatment in cases of drug resistance. They tested their theory in a form of leukemia that is resistant to commonly used anti-cancer drugs.
Researchers found that genes critical for learning and memory are reduced in older brains, while those associated with stress and repair mechanisms are elevated. These changes suggest that gene damage may be contributing to age-related cognitive decline.
Researchers identified sex-specific differences in gene expression in various tissues, including liver, kidney, and reproductive organs. These differences were involved in drug and steroid metabolism, as well as regulation of fluid balance, with implications for understanding how males and females respond differently to drug treatments.
Researchers found a new regulatory gene, SRG1, which blocks the expression of adjacent genes by physically preventing transcription factors from binding. This discovery provides evidence that junk DNA may have hidden functions and could be a common mechanism for regulating gene expression.
Researchers at Yale University have developed a method to target specific populations of nerve cells in the brain using viruses. By injecting an adeno-associated virus into the brain, they can trigger the expression of a jellyfish gene that glows green in certain neurons. This approach has significant potential for the treatment of neu...
Researchers identify source of random noise in gene expression, finding that promoter preparation and remodeling contribute to variability. This variation can affect protein levels and cell behavior, with implications for evolution and development.
A study by Fox Chase Cancer Center researchers has identified the human ABCA2 transporter as a potential therapeutic target for Alzheimer's disease. The protein is also involved in cancer drug resistance and plays a role in cholesterol transport and myelination, which may contribute to the development of Alzheimer's disease.
A study identified four tumor gene expression patterns that may serve as biomarkers of prognosis for head and neck squamous cell cancer patients. The patterns were associated with different outcomes, including the worst outcome linked to epidermal growth factor pathway activation, and a tobacco exposure signature.
Researchers found an inverse correlation between Rb2 expression and VEGF in liver tumors. The study suggests that lower Rb2 expression and higher VEGF levels can predict the aggressiveness of liver cancer, regardless of tumor stage.
Researchers found a novel genetic insertion associated with increased MCL-1 gene expression, leading to reduced response to chemotherapy and poorer outcomes. This discovery provides new insights into the molecular mechanisms underlying chronic lymphocytic leukemia (CLL) progression.
Researchers developed a new method to alter gene expression levels without disrupting essential control elements. This technique uses the 3' untranslated region (UTR) to influence protein production, allowing for predictable and controlled changes in gene expression.
Scientists at Fox Chase Cancer Center successfully extracted high-quality RNA from archived tissue samples using the Paradise Reagent System. This innovation allows researchers to identify genetic changes in cancer that span years, enabling personalized therapy.
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 identified gene expression profiles associated with short-term and long-term outcomes in adult T-ALL patients. A three-gene model was found to be highly predictive of remission duration, offering new hope for customized treatment plans.
Researchers used gene expression analysis to measure the activity of thousands of genes in adult T cell acute lymphocytic leukemia (T-ALL) patients. They identified a single gene, IL-8, that was highly expressed in resistant patients and found a group of 30 genes associated with complete remissions.
Gene expression scales closely with initial expression levels, with highly expressed genes showing dynamic changes and lower-expressed genes less variability. A 'rich-travel-more' mechanism governs this proportionality, underlying complex biological networks.
Researchers found that viruses used for gene delivery can influence gene expression, with AAV affecting genes minimally and adenovirus triggering broader responses. The study provides a systematic explanation for the relative safety profiles of two commonly used gene therapy vector classes.