Proteogenomics is an interdisciplinary field that combines techniques from genomics and proteomics to study the relationship between an organism's genome and proteome. Proteogenomic studies are rapidly becoming a cornerstone in biological research and development, offering new insights into biological systems, drug discovery, and understanding diseases.
By combining genetic and protein data, proteogenomics provides us with a complete look at how cells function, along with how genes and proteins work together. Proteogenomics is highly versatile, with applications such as pinpointing effective drug targets, accurately measuring numerous proteins, and scaling up to conduct proteomic studies across entire populations. These large-scale studies have shown to speed up the discovery of new therapeutic targets and biomarkers, which are crucial for developing clinical diagnostics and categorizing patients effectively. The growth of this field is driven by several factors, including heightened collaboration and data exchange, advanced data analysis tools, and the accessibility of large repositories of biological samples. Now, proteomics is emerging as the game-changer that can help revolutionize our understanding of biological systems and bridge the gap between genotype and phenotype.
In the resource below, we explore the new era of proteogenomics-driven research and how this is an integral tool for answering the biggest questions in human biology.
Empowering genomics with high-throughput proteomics
Take this opportunity to stay at the forefront of this groundbreaking field by reading about the latest developments. See how leading scientists are already implementing high-throughput proteomics to shape the future of precision medicine.
Download eBookPopulation-based, multiomic studies that can generate the statistical power to address highly complex biological questions, investigate rare diseases and account for genetic diversity among populations also require very large-scale approaches that measure many thousands of proteins.
Olink’s high-throughput proteomics solutions have been employed in ever larger population studies and can now provide the scalability that the research community has been asking for. As an example, Olink Explore HT can now run a 50,000 sample project in just 12 weeks using two sample handling/NGS instrument lines.
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Identifying proteins that plays major causal roles in specific diseases is a critical early milestone for any therapeutic development program. This enables the selection of robust drug targets based on sound molecular evidence. A mistake in target selection could be disastrous and costly further down the long and extremely expensive drug development process. Genetically informed target selection has been shown to double the likelihood of a drug development program, but genetics alone can’t determine causality for a given protein. Understanding whether phenotype/protein expression associations represent a cause or consequence of disease is far from trivial in human clinical studies, but the unique advantages of combining genomic and proteomic data can provide unique insights into the likely causal roles of any given protein in a specific disease.
What are pQTLs? Protein quantative trait loci (pQTLs) are locations in the genome that contain one or more genetic variants associated with circulating protein levels. Genetic variants that are close to, or within the same gene that makes the protein are called cis-pQTLs, while those located distally to the protein-coding gene are called trans-pQTLs. The latter can be valuable in identifying novel regulatory pathways, whereas cis-pQTLs are of special interest because the variant is highly likely to affect protein levels by direct regulation of its gene.
Listen to these ”Proteomics in Proximity” podcasts:
The SCALLOP consortium
SCALLOP (Systematic and Combined AnaLysis of Olink Proteins) is an independent collaborative effort whereby research groups with genetic and proteomic data obtained using Olink panels, come together to pool and exchange findings from their respective cohorts. This collective approach significantly enhances statistical power through joint analysis and collaboration.
In this video, learn more about The SCALLOP consortium, a collaborative framework for discovery and exploration of genetic associations with proteins on the Olink Proteomics platform. Learn how the consortium has 35 Principal Investigators (PIs) from 28 research institutions, and has gathered data from nearly 70,000 patients and controls in 45 different cohort studies.
Designed for specificty, validated for quality. The video below illustrates how each protein assay in Olink’s dual-recognition, DNA-coupled immunoassay PEA technology goes through an exhaustive and comprehensive validation process to ensure exceptional specificity and the highest possible data quality.
Innovative proximity extension assay (PEA) technology
"This product used state-of-the-art technology to allow one drop of blood, less than 3 microliters, to provide information on the protein assays being measured. This allows for incredible insight into real-time human biology to help facilitate the development of more effective and targeted therapies. This in turn allows scientists/researchers to create new drugs while simultaneously continuing with clinical research/basic life science research for possible large-scale discoveries that will address the low abundant plasma proteome."
Amber Kincaid, VUMC
Application Area: Biomarker identification
See how to capture true biological insights with proven specificity at any scale with Olink® Explore HT here.
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