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.
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.
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.
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A groundbreaking metagenomic sequencing test has proven effective in rapidly diagnosing almost any kind of pathogen, including viruses, bacteria, fungus or parasite. The test analyzes all nucleic acids present in a sample, replacing multiple tests with a single one and speeding up diagnosis.
A team at Penn State developed an experimental pipeline called Cleavage High-Throughput Assay (CHiTA) that can test the activity of thousands of predicted twister ribozymes. The study identified approximately 94% of tested ribozymes as active, revealing their function can persist even with slight imperfections.
Researchers at HSE University discovered that the microRNA overexpression method may produce incorrect results due to errors in Dicer enzyme cleavage. This can lead to the formation of miRNA isoforms that target unintended genes, resulting in inaccurate conclusions about molecular mechanisms.
Researchers have successfully designed transmembrane β-barrel pores with custom shapes and properties, enabling miniaturization of sensing and sequencing applications into portable devices. The design method uses computational tools to control the shape and chemistry on a molecular level, resulting in stable and quiet signal generation.
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Researchers from UChicago create TopicVelo, a new method using scRNA-seq data to study dynamic processes in cells. The method groups data by biological processes, such as ribosomal synthesis, differentiation, and immune response, to better understand how cells change over time.
Researchers found a significant increase in extracellular vesicles released by aged keratinocytes, which were also enriched with specific microRNAs. These EVs impaired young keratinocyte proliferation and organogenesis, mimicking aged skin defects.
Researchers developed a new technique to analyze frozen tumor specimens, enabling the study of rare cancers and unique patient histories. This breakthrough increases the number and variety of tumor samples available for scientific analysis.
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Researchers at UC San Diego and Scripps Research developed a wastewater sequencing tool to track regional infection dynamics. This approach proved effective in identifying emerging variants and predicting COVID-19 surges, enabling early detection of cases and informing public health interventions.
Research reveals ARGONAUTE 4 protein (AGO4) plays a dual role in RNA-directed DNA methylation, controlling epigenetic organization of entire genome. 454 Sequencing technology allows for comprehensive view of small RNAs, revolutionizing research on mechanisms of RNA interference.
A new database of over 360,000 mouse gene fragments will help scientists study mammalian development and compare genome sequences with humans. The catalog, developed by a team of researchers led by Marco Marra, provides quick access to genes and aids in mapping genes onto chromosomes.