Jun Song

Founder Professor of Physics

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Jun Song

Primary Research Area

  • Biological Physics
313 Loomis Laboratory
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  • Research

Using a novel integrative computational technique, scientists from Northwestern and the University of Illinois at Urbana-Champaign (UIUC) were able to classify disease conditions at the molecular level using epigenomic data sets, according to a recent study published in Cell Reports.

The new approach, collaboratively developed by the authors from Northwestern and UIUC, is called DeCET (Decomposition and Classification of Epigenomic Tensors); it analyzes complex, heterogeneous data to identify epigenomic differences between tissue types, disease subtypes, and changes in cell type, or cellular differentiation, explained Debabrata Chakravarti, PhD, vice chair for translational research and the Anna Lapham Professor of Obstetrics and Gynecology and lead author of the study.

  • Outreach
  • Biological Physics

As part of a campus-wide initiative to increase diversity, a collaboration with Fisk University was recently approved for an additional five years of continued financial support from the Office of Executive Associate Chancellor for Administration and University Relations and the Office of the Vice Chancellor for Research (OVCRI). Founder Professor of Physics Jun Song (ACPP) will oversee hands-on bioinformatics, data analysis, and biophysics training for under-represented minority undergraduate students from Fisk University, a minority-serving institution (MSI) in Nashville, Tennessee.

  • Research
  • Biological Physics

Researchers from the University of Illinois at Urbana-Champaign and the University of California-Davis (UC Davis) are combining in vivo experimentation with computation for highly accurate prediction of the genome-wide binding pattern of a key protein involved in brain disorders.

 “The MeCP2 gene is critical for proper brain development and expressed at near-histone levels in neurons, but the mechanism of its genomic localization remains poorly understood,” explained Jun Song, a professor of bioengineering and of physics at the University of Illinois at Urbana-Champaign. “Using high-resolution MeCP2 binding data, we show that DNA sequence features alone can predict binding with 88% accuracy.”

  • Research
  • Biological Physics
  • Biophysics

More than 500,000 people in the United States die each year of cancer-related causes. Now, emerging research has identified the mechanism behind one of the most common mutations that helps cancer cells to replicate limitlessly. The team’s findings, published in the May 14 issue of Science, have exciting implications for new, more precise and personalized cancer treatments with fewer side effects compared with current treatments.