Of mice and men: Researchers compare mammals’ genomes to aid human clinical research

Comparing the human genome with the mouse genome reveals both shared general principles and important differences in how each species’ genes are regulated.

A collaborative research effort compared regulatory elements of the mouse genome with those of the human genome.
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For years, scientists have considered the laboratory mouse one of the best models for researching disease in humans because of the genetic similarity between the two mammals. Now, researchers at the Stanford University School of Medicine have found that the basic principles of how genes are controlled are similar in the two species, validating the mouse’s utility in clinical research.

However, there are important differences in the details of gene regulation that distinguish us as a species.

“At the end of the day, a lot of the genes are identical between a mouse and a human, but we would argue how they’re regulated is quite different,” said Michael Snyder, PhD, professor and chair of genetics at Stanford. “We are interested in what makes a mouse a mouse and a human a human.”

The research effort, Mouse ENCODE, is meant to complement a project called the Encyclopedia of DNA Elements, or ENCODE, that began in 2003. ENCODE studied specific components in the human genome that guide genes to code for proteins that carry out a cell’s function, a process known as gene expression. Surrounding the protein-coding genes are noncoding regulatory elements, molecules that regulate gene expression by attaching proteins, called transcription factors, to specific regions of DNA.

Why mice matter

Mouse ENCODE analyzed more than 100 mouse cell types and tissues to annotate the regulatory elements of the mouse genome and compare them to the regulatory elements in the human genome. Both ENCODE and Mouse ENCODE are funded and coordinated by the National Human Genome Research Institute. Because mice are used as model organisms for many human clinical studies and drug discovery, understanding the similarities and differences can help researchers understand how the results found in mouse studies can translate to humans.

“The mindset is when you compare things, it helps to understand genome annotation,” said Mark Gerstein, PhD, the Albert L. Williams Professor of Biomedical Informatics at Yale University. “It’s making the mouse a more meaningful model organism.” Gerstein collaborated on previous ENCODE research but is not part of the Mouse ENCODE consortium, which is composed of researchers from more than 30 institutions.

“At the end of the day, a lot of the genes are identical between a mouse and a human, but we would argue how they’re regulated is quite different,” Michael Snyder said.
Steve Fisch

Snyder is a co-senior author of the main paper — published in Nature on Nov. 19 — that describes the overall findings of the project, and of two companion papers (one to be published in the same issue of Nature, the other published online Nov. 17 in the Proceedings of the National Academy of Sciences) that explain individual components of the project.

Stanford postdoctoral scholars Yong Cheng, PhD, and Zhihai Ma, PhD, are co-lead authors of the Nature companion paper. They compared where 34 transcription factors attach to the DNA strand to control gene expression on regions called binding sites.

Details differ

“Transcription factors are kind of like people: They work together in many different combinations to execute certain tasks,” said Snyder, who holds the Stanford W. Ascherman, MD, FACS Professorship in Genetics. “What we discovered is that the general principles are the same in mice and people, but the details are quite different. In general, the mouse factors are binding at different locations than the human ones in terms of the exact gene targets.”

The researchers’ abundant data is a valuable resource for others studying disease-related genes in mice. They can use the Mouse ENCODE data to see whether the transcription factors regulating their studies’ gene expression are the same or different for humans.

“If you focus on a gene that is similar to humans, the result should be easier to transfer from mouse to human,” said Cheng. “But if you’re working on a gene that is different, you need to pay more attention to whether this result can be successfully applied to the human subjects.”

Shin Lin, MD, PhD, MHS, postdoctoral scholar and clinical instructor in cardiovascular medicine, was co-lead author of a companion paper published in the Proceedings of the National Academy of Sciences along with Yiing Lin, MD, PhD. The study compared gene expression profiles across 15 tissues types in humans and mice.

They found that gene expression profiles in mouse tissues are more similar to one another than to their human counterparts. In other words, in terms of the way genes are expressed, a mouse liver is more similar to a mouse kidney than to a human liver, Snyder said.

Understanding the fundamentals

“The mouse is the premier organism for modeling human disease and many other things — a lot of what we know about human biology does come from the mouse,” Snyder said. “The genome is what controls everything at some level. We’re interested in trying to understand the basic processes about how they’re similar or different across some of the most important species people are studying. It’s just fundamentally important.”

Other Stanford authors of the main study published in Nature are bioinformatics analyst Venkat Malladi and former scientific data wrangler Drew Erickson, PhD. Other Stanford authors of the companion Nature paper are postdoctoral scholar Jingjing Lin, PhD; research assistant Xinqiong Yang; former research assistant Dorrelyn Patacsil; software developer Phillip Cayting; and research associates Alan Boyle, PhD, Ghia Euskirchen, PhD, Trupti Kawli, PhD, and Anshul Kindaje, PhD.

The main study published in Nature was funded by the National Institutes of Health (grants R01HG003991, 1U54HG007004, 3RC2HG005602, GM083337, GM085354, F31CA165863, RC2HG005573 and R01DK065806), the Spanish Plan Nacional, European Research Council, National Science Foundation Graduate Research Fellowship, the Wellcome Trust National Human Genome Research Institute (U01HG004695, R01HD043997, F23HL110473 and K99HL119617), and the European Molecular Biology Laboratory. The companion paper published in Nature was funded by the NHGRI (3RC2HG005602, 5U54HG006996, 1U54HG00699, R01DK065806 and RC2HG005573) and the American Recovery and Reinvestment Act.

The companion paper published in the Proceedings of the National Academy of Sciences was supported by the NHGRI (U54HG006996); the NIH (F32HL110473 and K99HL119617); the Common Fund of the Office of the Director of the NIH; the National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Neurological Disorders and Stroke; National Disease Research Interchange; Roswell Park Cancer Institute; Science Care; the Broad Institute; Van Andel Institute; University of Miami; University of Geneva: University of Chicago; University of North Carolina-Chapel Hill; and Harvard University.

Information about Stanford’s Department of Genetics, which also supported this work, is available at http://genetics.stanford.edu.

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