Articles tagged with Gene Expression Signatures
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Researchers developed a novel mouse model to visualize RNA Polymerase II during elongation, shedding light on gene expression dynamics. The study revealed dynamic patterns of gene transcription activity in various tissues and developmental states, with implications for understanding development, differentiation, and disease mechanisms.
A new method called spVelo calculates RNA velocity to understand how cells become specialized. By incorporating spatial information and processing multiple batches at once, the method overcomes previous challenges.
Scientists have discovered that MYOD protein can act as a gene silencer, clearing out old 'furniture' to reset the cell's identity. This finding challenges dogma and opens up new avenues for understanding cellular reprogramming and regenerative medicine therapies.
Scientists have identified a brain molecule called NEAT1 that appears to play a central role in triggering light sensitivity (photophobia) during migraines. By disrupting the normal balance of nerve signaling and pain regulation, NEAT1 makes nerves more sensitive to light.
Cells employ a protein network to repress TE activity and keep themselves healthy. O-GlcNAc transferase (OGT) is a lead choreographer in this process, protecting cells from genomic instability by restraining TET activity.
Researchers have found that combining the VIGex gene expression signature with liquid biopsy analysis improves response prediction to immunotherapy in patients with advanced solid tumors. The study analyzed tumor samples and circulating tumor DNA (ctDNA) by liquid biopsy, showing that the VIGex-Hot subgroup was associated with higher o...
A new study found that the effects of alcohol exposure on an embryo prior to implantation can be detected in the late-gestation placenta. The research revealed significant molecular changes in the placenta, including DNA methylation alterations that could serve as a molecular signature for detecting alcohol exposure.
A new brain-mapping neurotechnology called Single Transcriptome Assisted Rabies Tracing (START) has been developed to map the brain's intricate neuronal connections. The technique combines two advanced technologies to resolve cortical connectivity at the resolution of transcriptomic cell types, enabling the identification of distinct p...
Researchers at King's College London found that thousands of DNA sequences from ancient viral infections contribute to psychiatric disorder susceptibility. Five specific Human Endogenous Retroviruses (HERVs) were associated with increased risk for schizophrenia, bipolar disorder, and depression.
A team of scientists has created a single-cell atlas for the highly regenerative worm Pristina leidyi, revealing new insights into its regenerative abilities. The study characterizes all major annelid cell types and provides molecular signatures that could inform stem cell technologies and regenerative medicine.
Researchers develop AI model to predict combinations of gene perturbations that can transform cell type or restore diseased cells. The study's findings have potential applications in regrowing injured tissues and transforming cancer cells back into normal cells.
Researchers developed an oxidative stress-based prognostic model for bladder cancer, identifying distinct molecular subtypes and predicting patient outcomes. The model shows promise in tailoring personalized treatment approaches, particularly for patients with low-risk profiles.
Researchers identified hundreds of genes subject to recent selection in six Candida species, providing valuable knowledge for developing better treatments. The study also found a potential spread of resistance through mating between susceptible and resistant strains.
A study published in Cell Genomics reveals that specific changes in CD4+ T cell categories and gene programs are associated with autoimmune diseases, including distinct patterns related to aging and sex. The findings provide a comprehensive catalog of CD4+ T cell changes linked to 20 different autoimmune diseases.
A new genomic study sheds light on the evolutionary innovation behind carnivorous Asian pitcher plants, suggesting that duplicated genomes may have enabled specialized carnivory and separate-sexed plants.
Researchers found an epigenetic signature in cheek cells of obese twins that differs from their thinner siblings, suggesting a susceptibility to obesity may be written into molecular processes. The discovery could lead to a simple cheek swab test for an obesity biomarker and enable earlier prevention methods.
The study analyzed 10,000 gene expression signatures to assess their prognostic ability, finding that they lead to accurate patient prognosis in no more than 80% of cases. The researchers emphasize the need for a comprehensive approach incorporating molecular, clinical, histological, and other factors to ensure an accurate prognosis.
A study has identified genetic markers that can predict whether rheumatoid arthritis will improve or worsen during pregnancy. These markers were found in white blood cells and genes related to B cells, and may help women plan their treatment and avoid unnecessary medication exposure.
Researchers identified abnormal keratin expression patterns in senescent ocular surface cells, which may contribute to severe ocular surface diseases. Gene expression profiles showed substantial differences between senescent and non-senescent cells, highlighting their potential role in pathology.
Researchers discovered Leishmania parasites in blood-related stem cells of chronically infected mice, challenging the textbook understanding of the disease. The finding may lead to new treatment options and improve our understanding of why some people develop visceral leishmaniasis despite having immune disorders.
Researchers found that African American women with ER-positive breast cancer have decreased levels of amino acids and increased levels of fatty acids compared to non-Hispanic white women. This study may help explain the higher mortality rates in African American women with the disease, suggesting potential new screening strategies.
A global team of experts outlines a roadmap for creating a comprehensive and inclusive reference work on human skin cell composition. The proposed Human Skin Cell Atlas will provide a standardized framework for semi-automated mapping of patient-specific changes in skin diseases, supporting personalized medicine.
A new study published in Aging-US has identified the p53-p16/RB-E2F-DREAM complex as a critical regulator of cellular senescence. The researchers found that this complex represses multiple target genes involved in cell cycle regulation, DNA repair, and chromatin structure, leading to the stability of the senescent arrest.
A multinational study identified immune resilience as a critical factor influencing life span, HIV/AIDS, flu, sepsis mortality, recurrent skin cancer, and COVID-19 mortality. Individuals with optimal levels of immune resilience were more likely to resist infections and recover from inflammatory stressors.
A new gene expression signature has been identified that can predict the rapid progression of type 1 diabetes. This signature may allow for earlier intervention and improved treatment plans.
A new study by Weill Cornell Medicine investigators found four distinct types of beta cells in the pancreas, with cluster 1 beta cells producing more insulin than others and appearing better able to metabolize sugar. The loss of these high-functioning beta cells may contribute to type 2 diabetes development.
Using genetically modified Aspergillus fungi, researchers have successfully converted polyethylene plastics into pharmacologically active compounds. The process breaks down the plastics quickly and efficiently, producing commercially viable yields of asperbenzaldehyde, citreoviridin, and mutilin.
A new study by Arizona State University researchers found that females with higher social status had younger, more resilient molecular profiles in their brains. The study used rhesus macaques and showed a key link between the social environment and healthy brains, providing new insights into aging.
A new genomic test can predict a patient's risk of developing severe COVID-19, according to research from the University of Virginia Health System. The test, called CovGENE, analyzes genes expressed in a person's blood to determine if they may experience a severe disease course with increased risk of death.
Researchers at Cedars-Sinai Cancer identified genetic signatures linked to patient response to immunotherapy in bladder and other cancers. High DDR1 expression is associated with 'cold' tumors, while high DDR2 is linked to 'hot' tumors.
Researchers developed a deep learning-based model to predict drug-drug interactions using gene expression data. The DeSIDE-DDI model can identify potentially dangerous pairs and act as a drug safety monitoring system, helping establish the correct usage of drugs in the development phase.
Researchers found early and persistent activation of neutrophils in patients who developed severe COVID-19. The study suggests that identifying specific gene signatures could lead to effective treatments targeting high-risk patients. This discovery may also inform the development of simple blood tests to prioritize treatment.
A UCI-led team identified a molecular feature in prostate cancer associated with ancestry, which may help predict patient risk and tailor treatment. ERV expression signatures also showed promise for identifying patients at greatest risk of progression across different ancestries.
Research finds GNAO1 expression affects calcium ion regulation in cardiomyocytes, leading to cardiac dysfunction and heart failure progression. Suppression of GNAO1 improves pathology in multiple mouse models.
A recent study found that pathologic complete response rates did not differ by racial groups, but HR-positive/HER2-negative breast cancer showed a significant survival disparity between Black and white women. The study suggests that tumor molecular subtype is a more significant factor in breast cancer survival than race.
Researchers at Cornell University have launched scMuscle, a large single-cell database that provides a comprehensive picture of the dynamics of muscle repair. The database houses transcriptomic data from approximately 365,000 cells involved in muscle injury across various ages and experimental conditions.
A new study by USC researchers uses a genetic technology to analyze gene expression signatures of individual cancer cells from patients with leukemia. The findings show that cancer cells with distinct gene expression profiles tend to grow in different organs, while those with specific genes are more resistant to chemotherapy.
A commonly used diuretic pill may help treat Alzheimer's disease in individuals with the apolipoprotein E gene APOE4. Researchers analyzed data from brain tissue samples and found that those taking bumetanide had a significantly lower prevalence of Alzheimer's disease compared to those not taking the drug.
A study by the Center for Cell-Based Therapy in São Paulo, Brazil, has discovered a set of biomarkers that can be used to predict which patients with glioblastoma may have tumors resistant to radiation therapy. The genetic signature helps doctors choose the best treatment option for these patients.
A genomic signature associates with differential expression of glucose transporters and hexokinase proteins in prostate cancers with low PSMA expression. This allows for improved uptake of 18F-FDG compared to PSMA-targeted radioligands, making it an attractive imaging tool for neuroendocrine prostate cancer patients.
A new study found that concentrated broccoli sprout extract can significantly reduce fasting blood glucose levels in type 2 diabetes patients. The researchers used a computational approach to identify compounds that could counter disease-associated gene expression changes associated with the condition.
A new test has identified a gene signature related to the immune response in liver tissue of patients with high-risk Primary Biliary Cholangitis (PBC), a rare autoimmune condition. The test allows for early intervention with alternative treatments, increasing chances of success and potentially staving off the need for a liver transplant.
MD Anderson researchers discovered a breast tumor marker that predicts metastasis by analyzing the gene expression signature of mouse embryos. Tumors with similar signatures to six-day-old embryos were more prone to metastasize than those with adult-like signatures.
A phase II clinical trial at the University of Texas M. D. Anderson Cancer Center showed that a combination of rituximab and pidilizumab sparked complete responses in 19 out of 29 patients with relapsed follicular lymphoma, with a response rate of 66%. The treatment had a mild side effect profile, with no grade 3 or 4 adverse events.
Scientists have discovered a novel approach to treating ALS by targeting toxic RNA, which aggregates into foci in the brain. The new therapy uses antisense oligonucleotides to selectively degrade the toxic RNA without affecting normal RNA production.
A study at Northwestern University and Dartmouth's Geisel School of Medicine found that patients with improved responses to mycophenolate mofetile (MMF) therapy share a distinct gene expression pattern in skin. This signature can potentially guide targeted treatment for patients with scleroderma.
A review of gene expression-based prognostic signatures in lung cancer found little evidence to support their clinical application. The studies lacked statistical validation, reproducibility, and clear medical utility, highlighting serious problems with the design and analysis.
Scientists have identified gene expression patterns in children with juvenile idiopathic arthritis (JIA) that can help predict their disease outcome and guide treatment. These findings could lead to more precise classification of JIA subtypes and the development of individually tailored treatments.
Researchers found that up to one-third of genes are differentially expressed due to environment, with respiratory genes upregulated in urban populations. The study suggests that environmental factors play a large role in modulating gene expression, and that the same gene can be expressed differently depending on the environment.
A study integrating genetic information with breast cancer risk factors refines estimates of relapse-free survival and predicts response to chemotherapy. Gene expression signatures provide valuable insights into breast cancer heterogeneity, enabling more precise clinical outcomes.
Researchers developed a gene expression signature to distinguish Burkitt lymphoma from diffuse large B cell lymphoma (DLBCL), leading to improved treatment outcomes. The test's accuracy was validated in a study of 71 untreated patients, with marked superiority in overall survival rates.
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.
Researchers identify unsuspected gene C/EBP-beta as key mediator of cyclin D1 action in human tumors. The technique combines data from the Global Cancer Map and gene chips to pinpoint gene interactions that lead to cancer.
Researchers have discovered a genetic signature, known as the IFN expression signature, associated with severe lupus symptoms. This signature is linked to interferon activity and has implications for developing new therapies to block IFN pathways in patients with severe lupus.