Multiomics – Multimedia

In this app note, discover flexible solutions to the challenges of immunological studies, allowing you to uncover the layers of immune cell complexity.

Most microbes in nature exist within a microbial community. However, little is known about how different microbial species interact with each other and their environment to form these communities. Rachel Dutton uses cheese as a model system for studying microbial ecosystems.

Part of the "systems biology“ trend, metabolomics research, referring to the study of the entire metabolite profile of an organism, has gained significant momentum in recent years. This list looks at the most commonly used methods in metabolomics research, the advantages and drawbacks of particular methods and the application of metabolomics research in areas such as toxicology, the cosmetic industry and nutrigenomics.

This infographic explores how multiomics approaches work, gives examples of multiomics in action, and shows how using multiomics can benefit your research.

Proteomics is a rapidly expanding field, aided by improvements in instrumentation accuracy and sensitivity, size and affordability. Whilst it is a valuable tool in the quest for improved understanding, diagnosis and treatment, a number of areas are proving problematic. In this list, we will discuss some of the challenges that researchers come up against in proteome analysis.

Ever more sophisticated tools are being developed to study metabolites and increase our understanding of the metabolome. But what were the developments and discoveries that enabled this field to develop?

Here, we describe the initial analysis of the genomes, epigenomes, transcriptomes and proteomes of IPS lines from healthy individuals generated by HIPSCI.

The results underline the utility of Systems Biology (and specially Anaxomics’s TPMS) for the interpretation of high-throughput data in BM identification, with a better generalization capability than conventional methods.

Drug toxicity is a major reason for the failure of candidate pharmaceuticals during their development. Therefore, it is important to realize the potential for toxicity in a timely fashion. A label-free multi-omics approach has been applied for the analysis of the transfected human hepatocyte cells by implementing LC/HDMSE, providing both qualitative and quantitative information within a single experiment.

presented at Systems Biology (ESF-UB Conference in Biomedicine), Sant Feliu de Guixols, Spain, 12-17 April 2008