Articles tagged with Rna Sequencing
Researchers have uncovered unusual clustering of endothelial cells around immune cells, signaling the start of excessive collagen production and scarring. This discovery could lead to new treatments for fibrosis, a common complication in Crohn's Disease affecting 10-20% of patients.
New research reveals that tumor cells in supratentorial ependymomas cluster into distinct neighborhoods, each with a specific role, such as proliferating or invading. Understanding these cell subtypes could help predict treatment response and inform targeted therapies for this aggressive childhood brain cancer.
Researchers developed an integrative analysis of single-cell sequencing and spatial mapping to reveal novel mechanisms driving breast cancer metastasis. The study identifies key drivers of metastasis, including early disseminated cancer cells with enhanced invasive capabilities.
A research team has developed a 'SUPER' platform that utilizes synthetic small RNAs as add-on controllers for genetic switches. This technology enhances the performance and stability of gene regulatory devices by addressing the issue of 'leakage', where genes continue to express at low levels even in the 'OFF' state.
A new study by the University of Tennessee shows that virus infection of cyanobacteria releases nutrients, fueling microbial growth and contributing to enhanced oxygen levels in the ocean. The findings suggest a direct link between viral activity and ecosystem functioning below the surface.
A new study maps the impact of stressors during pregnancy on the developing fetal brain, revealing a cell atlas and identifying key immune pathways. The research sheds light on how maternal gut-immune disruptions can shape neurodevelopmental disorders in children.
Researchers have identified two proteins that allow cancer cells to evade destruction by brain immune cells, known as microglia. By removing these proteins, microglia play a key role in eliminating cancer cells during the early stage of their arrival in the brain.
A breakthrough study from Georgia State University links brain biology to behavior, revealing the long-sought bridge between micro- and macro-level brain organization. The research team uncovered a detailed biological map connecting different levels of the brain, shedding light on how molecular features influence cognition.
The Virtual Cell Pharmacology Initiative (VCPI) aims to build the first standardized framework for virtual cell modeling in drug discovery. Ginkgo Datapoints is offering free high-throughput RNA profiling via its platform, generating over 12 billion data points and aiming to test at least 100,000 compounds.
A recent study published in Nature Communications reveals that the mechanical properties of the developing brain play a significant role in synapse formation and electrical signal emergence. The researchers found that softer regions exhibit higher synapse densities, while stiffer regions show lower densities.
Researchers developed CellWhisperer, an AI method and software tool that links gene expression with descriptive text across millions of biological samples. It provides a virtual AI-based colleague to support biologists in their research, making biomedical data exploration easier and more exciting.
Researchers discovered that folate receptor beta is widely expressed in various pediatric and adolescent solid tumors, making it a promising target for improving tumor surgery accuracy. Pafolacianine, a next-generation dye targeting folate receptors, shows promise as a tumor-agnostic imaging strategy for pediatric cancer surgery.
A key molecular player, RfaH, has been identified as a protective shield for bacterial genes, enabling them to survive the hostile environment inside the body. The protein ensures transcription runs to completion, making it an anti-terminator that prevents premature termination of gene expression.
Researchers at Cold Spring Harbor Laboratory have mapped two known stem cell regulators across thousands of maize and Arabidopsis shoot cells. This discovery reveals new stem cell regulators in both species and links some to size variations in maize.
Researchers used zebrafish with a mutation in the ube3a gene to investigate how environmental factors affect social behavior in individuals with autism spectrum disorders. The study found that environmental adjustments could hold therapeutic potential for ASD-related behavioral challenges.
A study by BSC-CNS analyzed molecular data from over 4,000 patients and 45 diseases using a newly developed computational method. The results show that 64% of medically known connections are related by similarities in gene expression, providing clues about the biological mechanisms linking them.
HTGAnalyzer is an automated tool simplifying complex transcriptomic workflows, enabling clinicians without bioinformatics expertise to perform essential analyses in precision medicine. The tool has been validated using multiple datasets and identified differentially expressed genes linked to cancer diagnosis, treatment, and prognosis.
The study uses Rapid Precision Run-On Sequencing (rPRO-seq) to uncover molecular drivers of cellular differentiation, offering a paradigm shift in understanding regenerative therapies. The technique allows doctors to analyze patients' disease states and treatment response in real-time.
Researchers at Salk Institute launched a machine learning framework called ShortStop to explore overlooked DNA regions and discover microproteins with potential roles in disease. The tool identified 210 new microprotein candidates in lung cancer data, including one validated target for therapeutic treatment.
Researchers from University of Zurich and Basel decode historical specimen to understand how 1918-1920 influenza pandemic evolved in Europe. The Swiss genome reveals three key adaptations that made the virus more resistant to human immunity and more infectious.
Scientists have discovered that repeat RNAs aggregate inside droplets but can be disassembled with an engineered piece of RNA. The study sheds new light on how these clusters form within biomolecular condensates and presents a potential therapeutic application.
Researchers at IGTP reveal a clear separation between lesional and non-lesional tissue, with high expression of pro-inflammatory genes in lesions. The study identifies 17 differential transcriptomic modules and associates molecular profiles with clinical indicators from the same patients.
A new generative AI technique allows for the design of RNA molecules with improved functions, opening up potential for novel therapeutics and diagnostics. The SANDSTORM and GARDN systems enable the prediction and generation of RNA sequences tailored for specific tasks in cells or diagnostic assays.
This study explored the immune dynamics across different phases of HBV infection, identifying key factors influencing T cell function and liver priming. The research team uncovered distinct types of intrahepatic T lymphocytes and dual roles of DC-SIGN+ macrophages in modulating immune responses.
Researchers used AI-driven methods to analyze thousands of digital images of melanoma tumor tissue, identifying key immune cell structures that boost immunotherapy effects. The presence of these structures was linked to significantly better overall survival for patients with advanced melanoma.
Researchers have mapped the diversity of a globally important pea collection, revealing secrets behind Mendel's famous traits and uncovering agriculturally useful genetic diversity. The new set of gene bank and genomic resources could revolutionize pea breeding and research.
A team of Singaporean scientists has released a comprehensive long-read RNA sequencing dataset, SG-NEx, to accelerate biomarker discovery and precision medicine. The dataset offers deeper biological insights into RNA complexity, enabling researchers to detect clinically relevant biomarkers and develop better treatments.
Researchers have discovered RNA pseudouridine as a novel diagnostic target for colorectal cancer. The study found correlations between pseudouridine modifications and clinical markers, enabling potential non-invasive diagnosis. The findings provide a molecular framework for RNA epigenetics-based stratification and targeted interventions.
Research reveals DHX36 plays a crucial role in normal chromatin architecture and rRNA homeostasis during oocyte growth. DHX36 deficiency impairs meiotic maturation, post-fertilization embryonic development, and disrupts ribosome assembly.
A project aims to understand how temperature, light pollution, and bird abundance affect West Nile virus transmission in mosquitoes. The goal is to advise health departments on the best time to kill bugs and limit transmission.
A new study found that exosomes from children with pediatric obstructive sleep apnea (OSA) disrupted blood-brain barrier integrity, leading to cognitive impairments. The research suggests a broader impact on barrier function and identifies potential biomarkers for OSA-related neurocognitive dysfunction.
Researchers developed tomoseqr, a user-friendly software to estimate 3D spatial gene expression distribution. The software successfully reproduced known gene expression patterns and mapped the 3D spatial distribution of genes in zebrafish and planarians.
Researchers have developed a computational tool, Spotiphy, that uses generative AI to enhance the resolution of sequencing-based spatial transcriptomics without sacrificing gene coverage. This breakthrough enables single-cell resolution in tissue imaging while maintaining full transcriptome coverage.
A team of researchers at Queen Mary University of London discovered that disrupting a single amino acid in the vimentin protein makes breast cancer cells behave like stem cells. This mutation promotes tumour growth and increases cancer stemness in an oestrogen-independent manner.
This review highlights the transformative capabilities of single-cell and spatial genomics, providing critical insights into disease mechanisms and developing innovative therapies. The technologies enable comprehensive cell atlases, tracing the evolution of sequencing methods and incorporating multi-omics approaches, which significantl...
Researchers at St. Jude Children's Research Hospital developed a machine-learning algorithm capable of scaling with single-cell data repositories to deliver more accurate results. The new method, called CSI-GEP, uses unsupervised machine learning to remove bias from analyses, producing better results than existing methods.
Researchers at Sanford Burnham Prebys used two sequencing methods to reveal new mRNAs associated with Alzheimer's disease, dementia with Lewy bodies, and Parkinson's disease. The study found vast mRNA isoform diversity in genes related to neurodegenerative diseases.
A pioneering AI model has been developed to understand the genetic 'language' of plants, allowing for precise predictions about RNA functions and identification of functional patterns. This breakthrough has significant implications for crop improvement and the next generation of AI-based gene design.
Researchers developed a new tool called SigRM to analyze single-cell epitranscriptomics data, enabling the study of RNA modifications in individual cells. This can provide valuable insights into gene regulation and its impact on health and disease, particularly in complex conditions like cancer.
Researchers from NUS and A*STAR have discovered a connection between the regulation of alternative splicing in different cell types and the predisposition to autoimmune diseases. The study used a population-scale single-cell gene expression profiling dataset to analyze splicing events specific to particular cell types, revealing ancest...
Researchers have shed new light on gene expression by visualizing ribosomes in unprecedented detail. The study reveals a molecular mechanism for mRNA delivery to the ribosome, advancing our understanding of gene expression at the molecular level.
Researchers developed an algorithm to analyze high-resolution spatial data from Seq-Scope and other technologies, called FICTURE. This enables scientists to see how and where a gene is expressed at microscopic resolution, improving our understanding of gene expression.
Researchers from UT Arlington sequenced RNA genes of pythons, discovering conserved pathways in humans that are activated uniquely by these snakes. This knowledge helps explain intestinal regeneration and metabolism changes, offering potential therapeutic targets.
Plant roots use a silent molecular 'language' to direct fungi to attach, providing phosphates. Researchers discovered that strigolactone activates fungal genes associated with phosphate metabolism, leading to new strategies for cultivating hardier crops and combatting disease-causing fungi.
A new proteomics study explores the relationship between protein and transcript levels in young-adult and old mice bones. The research identifies key targets associated with bone mineral density and aging, shedding light on protein-specific changes that occur with age.
A new study reveals a connection between NF-κB signaling pathways and X chromosome inactivation in T cells, which has implications for understanding sex-based immune responses. Researchers found that the maintenance of X chromosome inactivation depends on nuclear factor kappa B (NF-κB), a transcription factor.
A study found that doxycycline post-exposure prophylaxis (doxy-PEP) did not significantly alter the overall composition of gut bacteria in individuals who took it for six months. However, the researchers noted signs of resistance building against tetracycline, a class of antibiotics to which doxycycline belongs.
A new study found that over a dozen bacterial species in the oral microbiome are linked to a 30-50% increased chance of developing head and neck squamous cell carcinoma. The research analyzed data from 159,840 Americans and identified key bacteria that may contribute to the disease.
Researchers developed SINGULAR, a cell rejuvenation atlas that offers a comprehensive systems biology analysis of diverse rejuvenation strategies across multiple organs at single-cell resolution. The study identified master regulators and uncovered common targets across immune cells.
A new method, scAMF, reduces noise in single-cell RNA sequencing data while preserving crucial biological information. This enables more accurate cell type characterization and clustering. The framework also lays the foundation for constructing high-resolution cell atlases.
Researchers found that the frequency of activated TREG cells remained elevated during treatment and continued to be high even after the virus was eliminated. Inflammatory features, such as increased TNF signaling, were sustained in TREG cells, indicating long-term immune system changes induced by the chronic infection.
Researchers analyzed virus populations from a chronically infected patient and found that human-derived RNA fragments helped the virus replicate better in cell culture. The incorporation of host RNA into the viral genome may serve as a biomarker for early detection of chronic infections.
The study identified 99 RNA isoforms that were either increased or decreased in Alzheimer's brains, even when overall gene activity didn't change. This discovery shows the importance of understanding isoforms and their unique functions in a gene along with their roles in human health and disease.
A team of researchers from Tokyo Institute of Technology has developed a new type of computational RNA droplet that can perform logical AND operations using microRNA sequences. These programmable droplets have the potential to be used in various applications, including biomolecular sensing and artificial cells.
A team of researchers from Xi'an Jiaotong-Liverpool University has engineered a short sequence of artificial DNA to target the mutant protein p53-R175H, linked to lung, colorectal, and breast cancers. The new molecule, dp53m, inhibits cancer cell growth and increases sensitivity to chemotherapy agent cisplatin.
A team at Osaka University uses novel RNA sequencing techniques to reveal the molecular basis for sexual dimorphism in Daphnia, a species of water flea that can change its form and behavior despite being genetically identical. The study identifies genes that switch which isoforms are expressed in a sex-dependent manner.
Researchers developed a method to quantify mRNA transcription and degradation rates within individual cell types, uncovering varied regulatory rates across genes. The study provides novel insights into how pluripotent cells adopt specialized identities through gene expression.
The new 'scLENS' tool overcomes challenges in single-cell transcriptomics by automatically differentiating signals from noise using Random Matrix Theory and Signal robustness test. This innovation significantly improves analysis accuracy and efficiency, enabling researchers to extract biological signals conveniently and automatically.
Researchers investigate senescence phenotypes of human corneal endothelial cells upon treatment with ultraviolet (UV)-A. Cells exhibit enlarged morphology, increased β-galactosidase activity and decreased proliferation. UV-A-induced senescent cells show similar gene expression profiles to ionizing radiation (IR)-induced cells.
Researchers at Karolinska Institutet developed a Single Cell Atlas (SCA) platform to profile human biology through multi-omics technologies. The extensive collection of data provides unique insights into individual cell properties and tissue interactions.