Peggi Angel, PhD

Training focus:
Heart valve proteome during organ development in vitro

Training period:
06/23/2008 – 06/22/2010

Co-mentors:

Scott Baldwin, MD
Katrina Overall McDonald Professor, Dept. of Medicine
Chief of Division of Pediatric Cardiology, Vanderbilt University Medical Center

Richard Caprioli, PhD
Stanley Cohen Professor, Dept. of Biochemistry
Director, Mass Spectrometry Research Center
Vanderbilt University School of Medicine
Professor, Dept. of Chemistry and Dept. of Pharmacology
Vanderbilt University

PhD
University of Georgia
(Analytical Chemistry), 2007
Advisor: Ronald Orlando, PhD
BS
Georgia Southern University
(Chemistry), 1999

Abnormal heart valve formation affects over 1% of the US population and is a primary cause of prenatal and postnatal death. Although morphological progression of heart valve development has been well studied, the molecular factors that guide this process are poorly defined. Our goal is to produce a comprehensive proteomic portrait of early mouse heart valve development. A key element of this goal is the identification of proteins important to endothelial-mesenchymal transformation, a process that is critical not only to early valve cushion formation but to other major developmental events such as tooth germ formation. The data will be made available for comparison to tooth germ formation and pancreatic islet formation to better understand the developmentally important endothelial-mesenchymal transformation. Information from this study will be directly applicable to tissue engineering approaches to heart valve formation.

Otger Campàs, PhD

Training focus:
Mechanical determinants of tooth formation

Link to Otger's Website

Training period:
06/01/2009 – 05/31/2011

Co-mentors:

Donald Ingber, MD, PhD
Judah Folkman Professor, Dept. of Pathology
Interim Co-Director, Vascular Biology Program
Children's Hospital Boston
Harvard Medical School

Lakshminarayanan Mahadevan, PhD
Lola England Professor of Applied Mathematics
Harvard School of Engineering and Applied Sciences

PhD
Institut Curie (Paris) and University of Barcelona
(Biophysics), 2006
Advisors: Jacques Prost, PhD; Jean-François Joanny, PhD; Jaume Casademunt, PhD
BS
University of Barcelona
(Physics), 2002

The ultimate functional morphology of a tissue is governed by both signaling molecules and physical forces. Understanding how mechanics and gene expression act together to shape tissues would be of capital importance to design ways in which developmental processes could be guided to engineer organ morphology. In order to address these questions we will focus on tooth formation because the signaling molecules that orchestrate the different stages of development are relatively well known and also because it is simple enough for theoretical treatment. As a SysCODE fellow I will approach tooth development from two different, but complementary, perspectives:
1) Describe mathematically the initial stages of tooth formation (bud stage) and identify the physical parameters that are relevant for tooth morphogenesis;
2) Develop an experimental set-up to measure the mechanical properties of growing tissues in 3 dimensions. We will use force transducers that provide a direct readout of the forces in different locations of the growing tissue.

Kaustabh Ghosh, PhD

Training focus:
Engineered microenvironments for in situ pancreatic islet generation

Training period:
06/30/2008 – 06/29/2010

Co-mentors:

Donald Ingber, MD, PhD
Judah Folkman, Professor, Dept. of Pathology
Vascular Biology Program
Children's Hospital Boston, Harvard Medical School

Robert S. Langer, PhD
Institute Professor
Dept. of Chemical and Biomedical Engineering, MIT

PhD
State University of NY at Stony Brook
(Biomedical Engineering), 2006
Advisor: Richard A.F. Clark, MD
B.Tech
National Institute of Technology, India
(Technology), 2001

Diabetes, which poses major health and financial burden, arises from the loss of insulin production by ß cells of the islets of Langerhans. Islet transplantation, however, has had limited success in restoring normal islet function, largely due to post-transplantation challenges such as immune rejection, loss of islet cell viability and lack of optimal vascularization, thus suggesting the need to develop alternate therapies. For this proposal, I will seek to identify micro-environmental (chemical as well as physical) determinants that promote EPC adhesion, proliferation and differentiation into mature functional endothelium, and use these findings as design criteria to fabricate multi-functional biomaterials that will induce endothelium-mediated pancreatic islet normalization and/or survival of transplanted ß cells when targeted to diseased islets in the body.

Yinghua Guan, PhD

Training focus:
Applied single molecular imaging techniques in vitro and in vivo

Training period:
06/15/2009 – 06/14/2011

Co-mentors:

Jagesh Shah, PhD
Asst. Professor, Dept. of Systems Biology
and Dept. of Medicine, Harvard-MIT Div. of HST
Renal Division, Dept. of Medicine,
Brigham and Women's Hospital
Director, Laboratory for Cellular Systems Biology
and Molecular Imaging, Harvard Medical School

Sangeeta Bhatia, MD, PhD
Professor, Dept. of Electrical Engineering
and Computer Science
Director, Laboratory for Multiscale
Regenerative Technologies, Harvard-MIT Div. of HST

PhD
Peking University, China
(Physical Chemistry), 2006
BS
Beijing Normal University, China
(Chemistry), 2000

It has been a significant challenge to quantitatively study the dynamic intracellular processes in live cells. These studies are essential for a thorough understanding of the underlying mechanisms regulating the signaling pathways and the transitions during cell proliferation and differentiation. As a SysCODE fellow I will apply my knowledge in single molecule detection instruments - confocal, wide-field and total internal reflection fluorescence microscopy - to study cell transformation, proliferation and differentiation during early odontogenesis by using single molecule and cell imaging technique in vitro and in vivo. The key element of this study will be to provide a comprehensive dynamic description of the live cell transformation under mechanical or chemical stress monitored with a number of known genetic markers. Specific aims: 1) Use quantitative models for cell behavior developed in Dr. Shah and Dr. Bhatia laboratories to measure degree of morphological changes in cell during early odontogenesis; 2) Study temporal kinetics for alleles known to be involved in odontogenesis (Pax9, Wnt, Msx, etc.) to validate and/or complement the construction of gene regulatory network (GRN) with live cell information; 3) Provide Proof of Principle results for reporter cell imaging protocol that can be adopted by other SysCODE teams.

Charlotte Hinault, PhD

Training focus:
Analyses of the islet proteome

Training period:
04/01/2008 – 10/23/2008

Co-mentors:

Rohit Kulkarni, MD, PhD
Associate Professor of Medicine
Joslin Diabetes Center
Harvard Medical School

Steven Gygi, PhD
Professor of Cell Biology
Harvard Medical School
Director, Taplin Biological
Mass Spectrometry Facility

PhD
University of Nice Sophia-Antipolis,
France (Molecular and cellular biology), 2005
Advisor: Emmanuel Van Obberghen, MD PhD
BS
University of Nice Sophia-Antipolis,
France (Molecular and cellular biology), 2002

The pancreatic islets of Langerhans, and especially the insulin-producing beta cells, play a central role in the maintenance of glucose homeostasis. Due to the importance of islets in the pathogenesis of both types of diabetes, a thorough understanding of islet biology is essential for the development of therapeutic strategies for the prevention, management and/or cure of the diseases. Our objective was to examine the islet proteome and compare the protein expression levels with gene expression patterns. A proteomic approach was undertaken to identify the proteins in adult islets isolated from male mice on a pure C57Bl/6 genetic background. Subsequent studies at distinct islets maturation stages as well as sorted beta cells from isolated adult mouse islets will complete this work in order to generate a complete database as a reference resource for the tissue engineering studies and for the diabetes research community.

Chong Wee Liew, PhD

Training focus:
Analyses of the islet proteome

Training period:
01/01/2009 – 12/31/2010

Co-mentors:

Rohit Kulkarni, MD, PhD
Associate Professor of Medicine
Joslin Diabetes Center
Harvard Medical School

Steven Gygi, PhD
Professor of Cell Biology
Harvard Medical School
Director, Taplin Biological
Mass Spectrometry Facility

PhD
University of Hamburg, Germany
(Cell Biology), 2005
Advisor: Hans-Juergen Kreienkamp
BS
National University of Singapore, Singapore
(Microbiology), 1996

The pancreatic islets of Langerhans, and especially the insulin-producing beta cells, play a central role in the maintenance of glucose homeostasis. The proposed experiments will allow the generation of a novel data base of proteins and gene expression in the endocrine pancreas (islets and beta cells) of a mammalian model (the mouse) -from adults and animal at different pancreatic islets maturation periods. These data will be useful for planning mammalian tissue engineering for pancreatic islets with specific reference to pancreatic beta cells. Specific Aims: a) A proteomic approach to identify the proteins in adult islets isolated from male mice on a pure C57Bl/6 genetic background. Due to the reason that islets constitute only ~2% of the pancreas we will use this initial set of experiments to generate data and in parallel standardize the methodology and fine-tune the technique to improve total protein yield. b) Subsequent studies will utilize islets pooled from appropriate numbers of male mice at distinct islets maturation stages as well as sorted beta cells from isolated adult islets. c) In subsequent periods of the Program we will focus on characterizing the proteome using islets from models that exhibit beta cell expansion.

David Nusinow, PhD

Training focus:
Computational Methods for Proteomic Data Analysis

Training period:
06/15/2009 – 06/14/2011

Co-mentors:

Shamil Sunyaev, PhD
Associate Professor, Dept. of Medicine
Harvard-MIT Division of HST
Division of Genetics, Dept. of Medicine
Brigham and Women's Hospital
Harvard Medical School

Richard Maas, MD, PhD
Professor, Dept. of Medicine
Division of Genetics, Dept. of Medicine
Brigham and Women's Hospital
Harvard Medical School

PhD
Sackler School of Graduate Biomedical Science at Tufts University
(Cell, Molecular, and Developmental Biology), 2008
BS
University of California
(Molecular, Cell, and Developmental Biology), 2002

Proteomic methods present the opportunity to sharpen our global view of biological processes. However, developmental biologists have yet to widely embrace proteomics due to various difficulties with the methods. Perhaps the most notable difficulties include analyzing and interpreting the data from such experiments. One goal of the SysCODE project is to use proteomic data to understand organ composition, but to do so we must overcome these hurdles and find ways to integrate findings from proteomic experiments with that of whole-genome gene expression studies and classical genetic models. The goal of my project is to develop methods to do this, and apply them to the analysis of the mammalian organs that are the focus of the SysCODE effort. These analyses will be applied to further experimental design, and provide a cohesive framework to utilize proteomics in the study of organ development.

Alex Rolfe, PhD

Training focus:
Computational Discovery of Regulatory Networks in Pancreatic Islets

Training period:
06/01/2009 – 05/31/2011

Co-mentors:

David Gifford, PhD
Professor, Dept. of Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Laboratory, MIT

Doug Melton, PhD
Cabot Professor and Founding Chair, Dept. of Stem Cell and Regenerative Biology, Harvard University
Investigator, Howard Hughes Medical Institute
Co-Director, Harvard Stem Cell Institute

PhD
MIT
(Computer Science), 2009
Advisors: Profs. David Gifford, Gerry Fink, Tommi Jaakkola, and Ernest Fraenkel
BS
MIT
(Computer Science), 2001

Much of the work in regulatory network discovery has focused on integrating expression data, binding data, and motif presence to detect regulatory relationships, modules, and programs. Recent work in our lab and others has demonstrated the existence and importance of overlapping and interfering transcripts as regulatory mechanisms. I plan to use RNASeq experiments performed on pancreatic islets to identify examples of these mechanisms. By combining these newer mechanisms with our existing models, we should be able to more accurately explain the key features of gene regulation in the pancreas.

The second focus of my work will be smaller networks that incorporate disparate data sources, for example metabolic pathway and protein interaction databases. Since these databases are often incomplete, we must adapt our computational methods to work around missing information and produce more detailed results for smaller sets of genes.

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