Articles tagged with Proteomic Analysis
Researchers at RIKEN developed a new technique to analyze protein structures by suspending crystals in a greasy substance, enabling the use of smaller samples and faster data collection. This breakthrough could lead to improved understanding of dangerous proteins, such as those containing mercury.
A new method using mRNA sequences has revolutionized the study of proteins in the African clawed frog, allowing for cost-effective proteomics experiments. The technique enables researchers to identify and estimate protein abundance with high accuracy, opening up new avenues for research in developmental biology and medicine.
Immunologists have developed an improved mass spectrometric method for proteomic analyses, allowing for the identification and quantification of more proteins. The new technique, called ISOQuant, eliminates the need for labeling samples, enabling direct analysis of patient samples and specific immune cells.
Researchers used computer simulation to analyze X-ray crystallographic data and found that current software programs underestimate the level of dynamics in proteins. This could lead to more accurate pictures of protein structures and improved development of medicines.
Researchers used a new technique to analyze proteins in an animal model of the rare birth defect, finding hundreds of changes and shedding light on cell death mechanisms. The study provides insights into factors causing SLOS and could be applied to other diseases.
A research team analyzed the proteins in a simple marine worm and its resident bacteria to understand their symbiotic relationship. The study found functional differences in the metabolism of two symbionts despite their genetic similarities, indicating that metaproteomics can be used to unravel complex microbial communities.
Research finds key gene expression pathways involved in Candidiasis-associated denture stomatitis, with significant up-regulation of TLR2 and CD28 signaling. Saliva analysis reveals six extracellular protein genes linked to stomatitis.
A new magnet system with a 21-tesla superconducting magnet will be built at Florida State University, enabling more precise analysis of complex samples and advancing the field of chemical analysis. The system is expected to yield major innovations in petroleomics, proteomics, and biofuels analysis.
Researchers at Medical College of Wisconsin developed a set of free tools called ViPDAC to combine with Amazon's cloud computing service, providing inexpensive processing time for proteomics data analysis. This makes it possible for more users to analyze their data in greater depth and learn more about the systems they're studying.