The Department of Systems Biology is pleased to announce the speakers in its 2014-2015 Seminar Series. The seminar series features leading investigators working in a diverse set of fields, including cancer genomics, systems biology, computational biology, human genetics, cancer biology, RNA splicing regulation, chromatin and cell signaling, and microfluidics and sequencing. Please save the dates!

All events will be held in the Department of Systems Biology Common Room (ICRC 816), unless indicated otherwise. Additional details about these events will be provided at the links below as they become available.

For a continually updated calendar of all Department of Systems Biology events, and to see an archive of past seminars, visit systemsbiology.columbia.edu/events.

Dana Pe'er has received the Pioneer Award for high-risk, high-reward research, and postdoctoral scientist Kyle Allison has won an Early Independence Award.

Two members of the Columbia University Department of Systems Biology have been named recipients of NIH Director’s Awards from the National Institutes of Health Common Fund.

Associate Professor Dana Pe’er is one of 10 winners of the 2014 NIH Director’s Pioneer Awards. The Pioneer Awards provide up to $2.5 million over 5 years to support exceptionally creative investigators who are pursuing “high risk, high reward” science that holds great potential to transform biomedical or behavioral research. The award will support an ambitious new project to develop the technological and computational methods necessary to create a comprehensive, high-resolution atlas of development for all cell types in the human body.

In addition, Kyle Allison, a postdoctoral scientist in the laboratory of Professor Saeed Tavazoie, has received the NIH Director’s Early Independence Award. (Dr. Tavazoie is also a past winner of the Pioneer Award.) This program enables outstanding young investigators who have recently completed their PhD’s to move rapidly into independent research positions. Dr. Allison is one of just 17 scientists to receive this award this year. In combination with the Department of Systems Biology Fellows program, this five-year, $1.25 million grant will allow him to open his own laboratory at Columbia and pursue independent research to investigate the problem of bacterial persistence. He is the second Department of Systems Biology investigator to receive the Early Independence Award, joining Assistant Professor Harris Wang in being recognized with this honor.

“Having four recipients of NIH Director’s Awards within the Department of Systems Biology — and particularly two in one year — is quite remarkable,” said Department Chair Andrea Califano. “I think it’s a testimony to the timeliness of the perspectives and tools that systems biology offers and to the high quality of research being conducted at Columbia. I look forward to the discoveries that will undoubtedly come from Dana’s and Kyle’s extremely exciting efforts.”

As a graduate student in George Church’s lab at Harvard University, Harris Wang developed MAGE, a revolutionary tool for the field of synthetic biology that made it possible to introduce genomic mutations into E. coli cells in a highly specific and targeted way. Now an Assistant Professor in the Columbia University Department of Systems Biology, Dr. Wang recently published a paper in ACS Synthetic Biology that introduces an important advance in the MAGE technology. The new technique, called (MO)-MAGE, uses microarrays to engineer pools of oligonucleotides that, once amplified and integrated into a genome, can generate thousands or even millions of highly controlled mutations simultaneously. This new method offers a cost-effective way for designing and producing large numbers of genomic variants and provides an efficient platform for experimentally exploring genome-wide landscapes of mutations in bacteria and optimizing the organisms’ biochemical capabilities.

In the following interview, Dr. Wang explains the origins of the new technology, and discusses what he sees as the remarkable potential it holds for both basic biological research and industrial applications of synthetic biology.

How are MAGE and (MO)-MAGE different from more traditional methods in genome engineering?

In traditional genome engineering, researchers would induce genome perturbations randomly. For example, you might use ultraviolet radiation or a mutagen to generate mutations and then do a selection experiment to compare and isolate cells with different genotypes based on how they respond to specific stimuli. The problem with this approach, though, is that you have no way to control what mutations occur, even if you know the mutation you are interested in investigating.

(MO)-MAGE offers a cost-effective and efficient way to simultaneously mutate large numbers of genes in a targeted way.

Graduate students Albert Lee (left) and Chaitanya Rastogi.

Congratulations to Columbia University graduate students Albert Lee and Chaitanya Rastogi, who have been named awardees of the Training Grant in Bioinformatics and Computational Biology. These competitive fellowships provide support for up to two years to outstanding students working toward a PhD in Department of Systems Biology laboratories.

The presence of the structural RNA stability element (sSRE) family of mRNA elements distinguishes transcript stability in metastatic MDA-LM2 breast cancer cell lines from that seen in its parental MDA cell line. Each bin contains differential decay rate measurements for roughly 350 transcripts. From left (more stable in MDA) to right (more stable in MDA-LM2), sRSE-carrying transcripts were enriched among those destabilized in MDA-LM2 cells. The TEISER algorithm collectively depicts sSREs as a generic stem-loop with blue and red circles marking nucleotides with low and high GC content, respectively. Also included are mutual information (MI) values and their associated z-scores. 

Gene expression analysis has become a widely used method for identifying interactions between genes within regulatory networks. If fluctuations in the expression levels of two genes consistently shift in parallel over time, the logic goes, it is reasonable to hypothesize that they are regulated by the same factors. However, such analyses have typically focused on steady-state gene expression, and have not accounted for modifications that messenger RNAs (mRNAs) can undergo during the time between their transcription from DNA and their translation into proteins. Researchers now understand that certain stem loop structures in mRNAs make it possible for proteins to bind to them, often causing RNA degradation and subsequently modulating protein synthesis. From the perspective of systems biology, this can have implications for the activity of entire regulatory networks, and recent studies have even suggested that aberrations in mRNA stability can play a role in disease initiation and progression.

In a new paper published in the journal Nature, Department of Systems Biology Professor Saeed Tavazoie and collaborators at the Rockefeller University describe a new computational and experimental approach for identifying post-transcriptional modifications and investigating their effects in biological systems. In a study of metastatic breast cancer, they determined that when the protein TARBP2 binds to a specific structural element in mRNA transcripts, it increases the likelihood that cancer cells will become invasive and spread. Interestingly, they also found that TARBP2 causes metastasis by binding transcripts of two genes — amyloid precursor protein (APP) and zinc finger protein 395 (ZNF395) — that have previously been implicated in Alzheimer’s disease and Huntington’s disease, respectively. Although the nature of this intersection between the regulatory networks underlying cancer and neurodegenerative diseases is unclear, the finding raises a tantalizing question about whether these very different disorders might be linked at some basic biological level.

Illustration by Davide Bonazzi, courtesy of Columbia Medicine.

The cover article of the Spring 2014 issue of Columbia Medicine reports on a new, Columbia University-wide effort to harness the potential of new scientific approaches and technological developments to advance the personalized treatment of cancer and other diseases. Announced in February by Columbia President Lee Bollinger, an interdisciplinary task force has been formed to coordinate the scientific, policy, and clinical components necessary to achieve this goal. The Department of Systems Biology, including its Center for Computational Biology and Bioinformatics and JP Sulzberger Columbia Genome Center, has been identified as a key partner in this interdisciplinary effort. As the article reports:

Rapidly evolving technologies that make DNA sequencing dramatically faster and less expensive along with new technologies to monitor virtually all aspects of cell physiology have led to the generation of unprecedented amounts of information (big data) that is starting to yield to new computational approaches and high speed computers, all of which promise to make diagnosis and treatment as patient-specific and precise as possible.

To harness the potential created by these scientific advances for the benefit of patients, [College of Physicians & Surgeons] Dean Lee Goldman, MD, has made personalized medicine a key goal of the medical school’s strategic plan. “At Columbia, we have enthusiastic consensus in support of personalized medicine—the personalized application of scientific advances to modern diagnosis and treatment, easily accessible and attentive care for the people who entrust us with their health, and personalized education for each of our individual students,” says Dr. Goldman…

At the center of Columbia’s personalized medicine effort is the new Department of Systems Biology, which brings together researchers specializing in molecular biology, genetics, computational biology and bioinformatics, structural biology, mathematics, chemistry and chemical biology, physics, computer science, and other fields. According to founding director and chair Andrea Califano, PhD, the Clyde and Helen Wu Professor of Chemical Systems Biology, the new department seeks to provide an in-depth, systemwide characterization of all molecular interactions. It is this systems-level approach to disease biology that can systematically identify disease drivers and druggable targets for the 90 percent of cancer patients who lack a clearly actionable genetic mutation. This has become possible only in recent years through major advances in science and technology that require a fully interdisciplinary approach.

The article describes how research by Department of Systems Biology faculty members including Dr. Califano, Nicholas Tatonetti, Brent Stockwell, and Tuuli Lappalainen, along with that of investigators in departments across the university, is contributing to this ambitious initiative. Read the complete article here.

Computational synergy analysis depicting FOXM1 and CENPF regulons from the human (left) and mouse (right) interactomes showing shared and nonshared targets. Red corresponds to overexpressed targets and blue to underexpressed targets.

Two genes work together to drive the most lethal forms of prostate cancer, according to new research by investigators in the Columbia University Department of Systems Biology.  These findings could lead to a diagnostic test for identifying those tumors likely to become aggressive and to the development of novel combination therapy for the disease.

The two genes—FOXM1 and CENPF—had been previously implicated in cancer, but none of the prior studies suggested that they might work synergistically to cause the most aggressive form of prostate cancer. The study was published today in the online issue of Cancer Cell.

“Individually, neither gene is significant in terms of its contribution to prostate cancer,” said co-senior author Andrea Califano, the Clyde and Helen Wu Professor of Chemical Biology in Biomedical Informatics and Chair of the Department of Systems Biology. “But when both genes are turned on, they work together synergistically to activate pathways associated with the most aggressive form of the disease.”

Co-principal investigator Andrea Califano discusses the new study.

“Ultimately, we expect this finding to allow doctors to identify patients with the most aggressive prostate cancer so that they can get the most effective treatments,” said co-senior author Cory Abate-Shen, the Michael and Stella Chernow Professor of Urologic Sciences and also a member of the Department of Systems Biology. “Having biomarkers that predict which patients will respond to specific drugs will hopefully provide a more personalized way to treat cancer.”

A new algorithm called Wanderlust uses single-cell measurements to detect how marker expression changes across development.

In a new paper published in the journal Cell, a team of researchers led by Dana Pe’er at Columbia University and Garry Nolan at Stanford University describes a powerful new method for mapping cellular development at the single cell level. By combining emerging technologies for studying single cells with a new, advanced computational algorithm, they have designed a novel approach for mapping development and created the most comprehensive map ever made of human B cell development. Their approach will greatly improve researchers’ ability to investigate development in cells of all types, make it possible to identify rare aberrations in development that lead to disease, and ultimately help to guide the next generation of research in regenerative medicine.

Pointing out why being able to generate these maps is an important advance, Dr. Pe’er, an associate professor in the Columbia University Department of Systems Biology and Department of Biological Sciences, explains, “There are so many diseases that result from malfunctions in the molecular programs that control the development of our cell repertoire and so many rare, yet important, regulatory cell types that we have yet to discover. We can only truly understand what goes wrong in these diseases if we have a complete map of the progression in normal development. Such maps will also act as a compass for regenerative medicine, because it’s very difficult to grow something if you don’t know how it develops in nature. For the first time, our method makes it possible to build a high-resolution map, at the single cell level, that can guide these kinds of research.”

Congratulations to Brent Stockwell, one of 10 recipients of the 2014 Lenfest Distinguished Teaching Awards. Dr. Stockwell is an Associate Professor of Chemistry and Biological Sciences, and a member of the Columbia University Department of Systems Biology.

Established through a donation by trustee Gerry Lenfest (Law '58), the Lenfest Award recognizes faculty who are not only accomplished scholars but also exhibit excellence in instruction and mentorship, as well as university citizenship and professional involvement. Each recipient of the Lenfest Award receives a prize of $25,000 for a three-year period and is recognized at the Lenfest Award dinner.

One of the defining features of systems biology has been its integration of computational and experimental methods for probing networks of molecular interactions. The research of Saeed Tavazoie, a professor in the Columbia University Department of Systems Biology, has been emblematic of this approach. After undergraduate studies in physics, he became fascinated by the processes that govern gene expression, particularly in understanding how gene expression is regulated by information encoded in the genome. Since then, his multidisciplinary approach to research has generated important insights into the principles that orchestrate genome regulation, as well as a number of novel algorithms and technologies for exploring this complex landscape.

In this conversation, Dr. Tavazoie discusses his research in the areas of gene transcription, post-transcriptional regulation, and molecular evolution, as well as some innovative technologies and experimental methods his lab has developed.

Dana Pe’er, an associate professor in the Columbia University Department of Biological Sciences and Department of Systems Biology has been named the winner of the 2014 Overton Prize. Awarded by the International Society for Computational Biology (ISCB) since 2001, the Overton Prize recognizes one outstanding early- to mid-career scientist each year who has already made a significant contribution to the field of computational biology through research, education, service, or a combination of the three. The award recognizes Dr. Pe'er "for her cutting-edge research that applies computational methods to complex data to understand the organization of molecular networks in cells at a holistic systems level."

As the winner of the 2014 Overton Prize, Dr. Pe’er will receive the award and present a keynote address at the ISCB’s 22nd Annual International Conference on Intelligent Systems for Molecular Biology, which will be held in July 2014 in Boston.

In her research, Dr. Pe’er leads the development of computational methods for integrating large, diverse collections of high-throughput biological data, with the goal of understanding the structure and function of molecular networks. In recent work, she has focused on developing methods for interpreting data from single cells and characterizing heterogeneity in populations of cells with diverse phenotypes. She is also developing computational models for understanding the effects of epigenetic variation on regulatory network function and how these changes in regulatory networks lead to specific phenotypes in health and disease. These areas of investigation are particularly relevant within the field of cancer research, and the Pe’er lab’s findings and computational methods have offered new strategies for improving personalized medicine for cancer care.

A panel at the Helix Center, titled "Synthetic and Systems Biology: Reinventing the Code of Life included Columbia University professors Saeed Tavazoie and Andrea Califano, as well as Michael Hecht (Professor of Chemistry, Princeton University), Mark Fishman (President, Novartis Institutes for BioMedical Research), Christopher Mason (Assistant Professor of Physiology and Biophysics, Institute for Computational Biology, Weill Cornell Medical College), and Michael Waldholz (Medical Science Writer and Media Consultant).

Advances in genomics and the development of new technologies over the past decade have given biologists the ability to engineer DNA to perform specific functions. This emerging science, called synthetic biology, holds great potential for a number of applications, and experiments have already been done to reprogram algae to produce biofuels, design bacteria that can sense and consume toxic substances, and use living cells to manufacture compounds that can be used as drugs.

Synthetic biology has emerged in parallel with systems biology, but in many ways the two sciences are closely intertwined. As systems biology improves our mechanistic understanding of how biology functions at the molecular level, synthetic biology is taking this knowledge to push biology in new directions, from synthesizing molecules using biology all the way to synthesizing new forms of biological life.

In a public roundtable discussion at the Helix Center in New York City, Columbia University Department of Systems Biology professors Saeed Tavazoie  and Andrea Califano  joined a panel of experts in discussing the intersection of systems and synthetic biology, and the role that these two disciplines will play in the development of the biological and biomedical sciences in the coming years.