Biomarkers – Multimedia

Speaking at the ‘Advances in Proteomics & Metabolomics’ online symposium 2021, Professor Stephen Pennington from University College Dublin and Atturos Ltd; presented his talk on ‘Using Proteomics to Develop Advanced Protein Biomarker Tests that Address Key Unmet Clinical Needs in Psoriatic Disease.’

Here, we take a closer look at some recent developments in the world of proteomics research.

Liquid biopsies are rapidly gaining traction and becoming a standard of care for cancer. They are an attractive alternative to invasive, painful, costly tissue biopsies and can facilitate real-time monitoring while providing insight into the disease state, even for tissues that are difficult to access, such as brain cancers.

Cancer immunotherapy relies on activating or enhancing the antitumor immune response and has taken a central position in cancer treatment modalities. However, not all patients respond to immunotherapy, and combination immunotherapies increase cost of treatment and heighten the risk for toxicity-related adverse events.

Enzyme Linked Immunosorbent Assays (ELISAs) are commonly used to quantify biomarkers in serum, plasma and cell culture supernates. These samples contain a variety of factors that can interfere with ELISA results, commonly referred to as a matrix effect. Eliminating these factors is essential to obtaining accurate sample values.

As we have gained a greater understanding of cancer biology, therapeutic interventions have evolved from a one-size-fits-all approach to more targeted approaches, which afford patients not only longer lives but increased quality of life.

The high resolution and scale that single cell analysis provides is revolutionizing drug discovery and development by introducing comparative, longitudinal and causal information that transforms our ability to understand biology and disease.

Download this listicle to explore three major advances in dementia diagnostics, including blood biomarker analysis, polygenic risk scoring and non-invasive techniques.

For this Teach Me in 10 episode we are joined by Michael Hinterberg from Soma Logic who provides an overview and inspiration for obtaining and analyzing high-dimensional proteomic data. He also shows how proteomic data are readily accessible for exploratory data analysis and hypothesis testing to those who are already familiar with genomic analysis or traditional statistics in other scientific fields.

Download this listicle to explore various biomarkers, technological advances driving biomarker research and integrative approaches in disease research.