Move over, DNA. The future is protein
In the coming decades, efforts to understand disease will be propelled by building 3D maps of protein arrangements in cells over time, a team of scientists says.
A workshop about the study of proteins on a large scale — proteomics — yielded a perspective piece that is part vision, part plan, recently published in the journal Molecular & Cellular Proteomics.
DNA is like a game plan, explains Neil Kelleher, a researcher at Northwestern University who was involved in the study, and RNA is like the team huddle; it’s what the cell decides to do with the circumstances on the day.
It’s time to watch the game itself. “This is the decade,” Kelleher said.
Watching the game
“Traditionally, we study one protein or pathway at a time,” the authors write, because “the cell is otherwise too complex.”
That’s like watching one player over time and whom they pass to.
Proteins take multiple forms in a cell after they come off the bench. An electric link between fans and footballers inspires the play that decides a championship. A comment or word from a coach flicks a switch. In the cell, such switches can be as simple as a few atoms added (phosphorus and a trio of oxygens are a popular one). Altered by their circumstances, proteins are like people.
Mapping their shapes over time will be game-changing.
“This could impact all diseases,” said Kristin Burnum–Johnson of Pacific Northwest National Laboratory, first author of the paper.How will this happen?
Bottoms up, touchdowns
Scientists will tackle this from two directions: bottom-up and top-down. They start with clinical tissue samples, Burnum–Johnson explained.
"For bottom-up approaches, you extract proteins from tissue regions and break them into identifiable peptides (shorter strings of proteins).”
Bottom-up strategies, combined with RNA and metabolite data, will reveal the lineup. Top-down strategies will yield those sweet, sweet action shots.
Kelleher knows about this. The top-down approach, revealing the specific forms proteins take (which RNA sequencing can’t tell you), has become so sensitive that his research recently found 30,000 precise forms of proteins in blood and bone marrow alone. That’s almost 10 times more than in previous studies. There are thousands more cell types for postgame analysis.
Single-minded
Researchers will continue pushing for higher resolution. They’ll need to integrate data, which is not a simple challenge. They’ll need to think beyond stadium walls; the extracellular matrix is rich. Like football and cells alike, consortiums and partnerships will drive the process. The National Institutes of Health wants research gaps to be identified, and private investment is supporting the sequencing of single molecules. These combined efforts remind Kelleher of the Human Genome Project.
The central dogma of biology is DNA to RNA to protein. It’s only natural that scientific research follows the path that is familiar. It’s protein’s turn.
Enjoy reading ASBMB Today?
Become a member to receive the print edition monthly and the digital edition weekly.
Learn moreGet the latest from ASBMB Today
Enter your email address, and we’ll send you a weekly email with recent articles, interviews and more.
Latest in Science
Science highlights or most popular articles
National Academies propose initiative to sequence all RNA molecules
Unlocking the epitranscriptome could transform health, medicine, agriculture, energy and national security.
From the journals: JLR
What can you do with artificial lipoproteins? A new key to angiogenesis. Flavonoids counteract oxidative stress. Read about recent papers on these topics.
Iron could be key to treating a global parasitic disease
A study has found that leishmaniasis causes body-wide changes in iron balance, leading to red blood cell damage.
Environmental DNA is everywhere
The ability to extract trace bits of DNA from soil, water, and even air is revolutionizing science. Are there pitfalls?
Early COVID-19 research is riddled with poor methods and low-quality results
The pandemic worsened, but didn’t create, this problem for science.
From the journals: MCP
Three views of mass spec: analyzing secreted protein spectra, imaging mass spectrometry for clinical use and spectral libraries for MS data analysis. Read about these recent papers.