Skip to main content
Premium Trial:

Request an Annual Quote

Researchers Catalog Co-Regulator Complexes in Human Cells

By a GenomeWeb staff reporter

NEW YORK (GenomeWeb News) – Researchers from Baylor College of Medicine reported today in Cell that they have catalogued networks of proteins that act as transcriptional co-activators and co-repressors in human cells.

Through mass spectrometry-based analyses of nearly 3,300 protein complexes isolated by affinity purification, the team tracked down thousands of these so-called co-regulators, corresponding to more than 11,000 gene products. By looking at the components of these complexes, their functional capabilities, and interactions between them, the researchers are starting to get new clues about how these proteins work together to influence the transcription of genes in the genome.

"[W]e found that over half of our total DNA is used simply to create the immense number of co-regulators that, in turn, regulate the expression of our genes," co-corresponding author Bert O'Malley, chair of BCM's molecular and cellular biology department, said in a statement. "This indicates that precise regulation in decoding genes is an absolutely mandatory rule in human cells, and that this occurs via the co-regulator proteins."

The work is a spin off of a National Institute of Diabetes and Digestive and Kidney Diseases-funded effort called the Nuclear Receptor Signaling Atlas, the researchers explained, which is focused on identifying nuclear receptor co-regulator complexes.

"Initial biochemical isolations of the mammalian co-activators … and co-repressors revealed that many co-regulators assemble into multi-subunit protein complexes," they wrote, "implying that a comprehensive picture of the protein interaction networks is needed to better understand the regulation of biological processes in the cell."

In their effort to explore these interaction networks, the researchers did a series of 3,290 immunoprecipitation experiments using nearly 1,800 antibodies against proteins suspected of influencing transcription or signaling processes in the cell. They then did mass spectrometry to identify interacting proteins, using an approach that did not disrupt the more tenuous protein interactions.

"By preserving both stable and weak protein interactions during complex isolations, we unveiled a modular and hierarchical organization of protein complex networks that serve as a blueprint for a better understanding of mechanisms of mammalian cell regulation," the study authors wrote.

In their subsequent analyses, the team scrutinized the data in several ways, identifying so-called minimal endogenous core complex modules or MEMOs, unique core complex isoforms or uniCOREs, as well as complex-complex interaction networks.

Their results indicate that numerous co-regulators fall into more than one protein interaction network.

By narrowing in on some of the networks and looking at how their data corresponds to protein complexes reported previously, the researchers made inroads in understanding co-regulators, particularly those governing transcription.

Moreover, those involved in the study argue that the work provides a resource that may be useful for interpreting the results of genome-wide association studies and other studies of complex, polygenic disease, by helping to relate genomic and proteomic information to one another.

"Taken together, genomics, proteomics, and targeted functional studies comprise three critical components of the combinatorial 'systems' approach that can be employed to effectively translate genomics data into molecular knowledge in order to ultimately advance clinical applications," they concluded.

The Scan

Study Finds Sorghum Genetic Loci Influencing Composition, Function of Human Gut Microbes

Focusing on microbes found in the human gut microbiome, researchers in Nature Communications identified 10 sorghum loci that appear to influence the microbial taxa or microbial metabolite features.

Treatment Costs May Not Coincide With R&D Investment, Study Suggests

Researchers in JAMA Network Open did not find an association between ultimate treatment costs and investments in a drug when they analyzed available data on 60 approved drugs.

Sleep-Related Variants Show Low Penetrance in Large Population Analysis

A limited number of variants had documented sleep effects in an investigation in PLOS Genetics of 10 genes with reported sleep ties in nearly 192,000 participants in four population studies.

Researchers Develop Polygenic Risk Scores for Dozens of Disease-Related Exposures

With genetic data from two large population cohorts and summary statistics from prior genome-wide association studies, researchers came up with 27 exposure polygenic risk scores in the American Journal of Human Genetics.