Precision medicine has been a buzzword across the medical field for over a decade. But what does it really mean for cancer care and how is it influencing new therapies for patients? Initially, precision cancer medicine focused on targeting specific mutated genes. We thought that understanding the genetic mutations of a tumor would help us develop targeted drugs that would solve the problem, one broken gene at a time.

What we found instead is that when you build an inventory of all the broken parts in cancer, the number of mutational patterns that could give rise to cancer is larger than the number of atoms in the universe.

Read full article on the Columbia News page.

The Department of Systems Biology at Columbia University Irving Medical Center is pleased to welcome new faculty member, Mohammed AlQuraishi , PhD, effective Sept. 21. Dr. AlQuraishi joins Columbia as an assistant professor and as a member of Columbia’s Program for Mathematical Genomics. 

Prior to joining Columbia, Dr. AlQuraishi served as a fellow of systems pharmacology and systems biology at Harvard Medical School. He completed his PhD in genetics and master’s in statistics from Stanford University. At Santa Clara University, he earned two bachelor’s degrees in biology and in computer engineering. 

A Bay Area transplant via Baghdad and Kuala Lumpur, Dr. AlQuraishi spent most of his teenage years in the San Francisco Bay Area before moving to the east coast for postdoctoral work. Influenced by the dot-com boom of the early 2000s in the Bay Area, Dr. AlQuraishi founded two startups in the mobile computing space before focusing on a career in academia. His circuitous path to systems biology and academic research ultimately blended his genuine interest and expertise in computer programming, mathematics, molecular biology, and science more broadly.

“What drew me to biology is its similarity to software, the fact that cells are always executing a sort of program," he says. "And just like programs, cells are more than a parts list—they are complex and interconnected in myriad ways. To tame this complexity we need synthesis, and that is the promise and challenge of systems biology.”

Molly Przeworski , PhD, professor of biological sciences and of systems biology , has been elected to the prestigious National Academy of Sciences (NAS) . Announced on April 27, Dr. Przeworski joins two fellow Columbia University Irving Medical Center (CUIMC) faculty members named to the 2020 class, recognized for their distinguished and continuing achievements in original research.

Molly Przeworski, PhD

Dr. Przeworski's work aims to understand how natural selection has shaped patterns of genetic variation and to identify the causes and consequences of variation in recombination and mutation rates in humans and other organisms. Earlier this month, she was also elected to the American Academy of Arts & Sciences , which recognizes and celebrates excellence of scientists, artists, scholars, and leaders in the public, non-profit, and private sectors.

A member of Columbia’s Program for Mathematical Genomics , Dr. Przeworski is the recipient of the Distinguished Columbia Faculty Award, the Howard Hughes Medical Institute Early Career Scientist award, the Rosalind Franklin Young Investigator award, the Friedrich Wilhelm Bessel Research award, and an Alfred P. Sloan fellowship. 

The NAS has elected 120 members and 26 international members to its new class.

Related: Three CUIMC Faculty Members Elected to National Academies ( CUIMC News )

Dr. Raul Rabadan coauthors new book that introduces techniques of topological data analysis, a rapidly growing subfield of mathematics. (Cambridge University Press)

The deluge of data in the diverse field of biology comes with it the challenge of extracting meaningful information from large biological data sets. A new book, Topological Data Analysis for Genomics and Evolution, introduces central ideas and techniques of topological data analysis and aims to explain in detail a number of specific applications to biology.

“High-throughput genomics has profoundly transformed the field of modern biology and has made it possible for scientists to make rapid scientific advances,” says the book’s co-author Dr. Raul Rabadan, professor of systems biology and founding director of Columbia University’s Program for Mathematical Genomics. “The explosion of data has hit biology, and as a result, we need new, more innovative analytical and computational tools to make sense of it all.”

Co-authored with Andrew J. Blumberg, PhD, professor of mathematics at University of Texas at Austin, the new book discusses techniques of topological data analysis, a rapidly developing subfield of mathematics that provides a methodology for analyzing the shape of data sets. The book offers several examples of these techniques and their use in multiple areas of biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes.

Awarded tenure this year in the Department of Systems Biology, left to right: Dr. Nicholas Tatonetti, Dr. Yufeng Shen, and Dr. Chaolin Zhang.

Congratulations to Drs. Yufeng Shen, Nicholas Tatonetti, and Chaolin Zhang of the Department of Systems Biology, who have been awarded tenure and promoted to associate professor. Their new appointments are effective July 1, 2019. 

Yufeng Shen, PhD

Dr. Shen joined Columbia University Irving Medical Center in 2011 as an Assistant Professor in Systems Biology and Biomedical Informatics. He directs a research group focused on studies of human biology and diseases using genomic and computational approaches. They are developing new methods to interpret genomic variations by machine learning based on biological mechanisms, and using these methods in large-scale genome sequencing studies to identify new genetic causes of human diseases, such as autism, birth defects, and cancer. His group also works on modeling of clonal and transcriptional dynamics of immune cells to improve our understanding of human adaptive immune system under normal and clinical conditions. Dr. Shen serves as an Associate Director of the JP Sulzberger Columbia Genome Center, a member of the Program in Mathematical Genomics, and an adjunct member of Columbia Center for Translational Immunology. 

Nicholas Tatonetti, PhD

Dr. Tatonetti, whose primary appointment is in the Department of Bioinformatics, has an interdisciplinary appointment with both the Departments of Systems Biology and Medicine. Dr. Tatonetti’s lab specializes in advancing the application of data science in biology and health science. His group integrates their medical observations with systems and chemical biology models to not only explain drug effects, but also to gain further understanding of basic biology and human disease.

The Department of Systems Biology and Center for Computational Biology and Bioinformatics are pleased to announce that three Columbia University faculty members have recently joined our community. Kam Leong, the Samuel Y. Sheng Professor of Biomedical Engineering at Columbia University, is now an interdisciplinary faculty member in the Department of Systems Biology. In addition, Yaniv Erlich and Guy Sella are now members of the Center for Computational Biology and Bioinformatics (C2B2). Their addition to the Department and to C2B2 will bring new expertise that will benefit our research and education activities, incorporating perspectives from fields such as nanotechnology, bioinformatics, and evolutionary genomics.

The JP Sulzberger Columbia Genome Center is pleased to announce that Hynek Wichterle has been appointed as associate director. In this role he will advise on stem cell related projects and coordinate interactions between Columbia Stem Cell Facility and the Columbia Genome Center's High-Throughput Screening Facility.

In addition to his position at the Columbia Genome Center, Dr. Wichterle is also an associate professor holding a joint appointment in the Departments of Pathology & Cell Biology and Neuroscience (in Neurology) at Columbia University Medical Center. He received his MS degree from Charles University in Prague and his PhD degree from The Rockefeller University. He trained at Columbia University, where he became assistant professor in 2004 and associate professor in 2012. He serves as a co-director of the Columbia Stem Cell Initiative and as a Vice-Chief of the Division of Regenerative Medicine in the Department of Rehabilitation & Regenerative Medicine.

Dr. Wichterle developed groundbreaking methods for producing spinal cord neurons from pluripotent embryonic stem cells in a culture dish. The process faithfully recapitulates normal embryonic development, providing a unique opportunity to study and experimentally probe nerve cells in a controlled environment outside of the embryo. He is using the system to decode transcriptional programs that control genes important for neuronal differentiation and function. His lab also capitalizes on the unlimited source of spinal neurons to study motor neuron degenerative diseases, such as amyotrophic lateral sclerosis (ALS or Lou Gehrig’s disease), with the goal of discovering new drugs for these currently untreatable, devastating conditions.

A new version of geWorkbench lets researchers access a range of powerful, integrated bioinformatics tools using a standard web browser. Here, an ARACNe-generated gene regulatory network is displayed using the Cytoscape Web plugin.

Since its creation in 2005, investigators in Columbia University’s Center for the Multiscale Analysis of Genomic and Cellular Networks (MAGNet) have developed a large number of computational tools for studying biological systems from the perspectives of structural biology and systems biology. To consolidate and disseminate these tools to the wider research community, MAGNet developed geWorkbench (genomics Workbench), a free, open-source bioinformatics application that gathers all of the Center’s software and databases into one integrated software platform. These include applications for the analysis of cellular regulatory networks, protein structure, DNA and protein sequences, gene expression, and other kinds of biological data.

Initially, geWorkbench was made available as a software package that users could install and run on their local computers. Now, in a major upgrade, MAGNet has released a web-based version that makes these tools accessible through a browser interface.

Molly Przeworski has joined Columbia University as Professor in the Department of Systems Biology and Department of Biological Sciences. The Przeworski lab investigates how natural selection, genetic drift, mutation, and recombination shape the heritable differences seen among individuals and species. To this end, they develop models of the evolutionary process, create statistical tools, and analyze large-scale variation data sets. Among the goals of their research are to understand how natural selection has shaped patterns of genetic variation, and to identify the causes and consequences of variation in recombination and mutation rates, in humans and other organisms.