Measure What Matters Most

‘Protein’ is derived from the Greek word meaning ‘occupying first place.’ The meaning emphasizes the primary importance of proteins to all living things: Enzymes, hormones, antibodies and drug receptors are all examples of proteins.

Proteins perform a startling array of essential tasks. They give our cells structure, guide development, allow the body to move, help fight infection, transport molecules such as oxygen, and regulate complex systems such as blood sugar and mood.

The “proteome” refers to the entire set of proteins produced by all the genes in the body. Each cell in a person’s body contains the same set of DNA. It’s the unique mixture of proteins that allow various tissues, organs and organ systems to carry out their distinct functions.

Each proteome is dynamic. Although the genome stays the same, the levels of proteins within various parts of the body are constantly changing in response to both internal and external factors (e.g., diet, aging, drug treatments, microorganisms, stress, etc.). In other words, you can change your proteins, but you can’t change your genes.

Proteomics is the key to understanding – and managing – health and disease in real time. Each person has highly personalized, constantly changing levels of proteins that provide meaningful insights into his or her state of health and wellness at any specific time. These same protein changes also help individuals rapidly determine whether interventions to improve their state of health are working.

Proteomics is challenging. There are thousands of proteins circulating within the body at any given time, and they are present at vastly different concentrations. A high abundance protein such as albumin is over a billion times more concentrated than a low abundance protein such as Interleukin-6 (a marker of inflammation). Detecting the needles in a haystack requires a technology with exceptional specificity and sensitivity.

SomaLogic’s proprietary SOMAscan assay is the only proteomic technology that can measure rapidly (high throughput), broadly (thousands of proteins simultaneously) and deeply (high- and low-abundance proteins).