Session: Experimental Approaches In Systems Biology (2012 Annual Meeting)

Description:

This session focuses on the latest advances in applied experimental approaches for understanding biological networks. We invite submissions on topics that involve techniques for measuring and manipulating cells and tissues at the genomic, transcriptomic, proteomic or metabolomic levels, as well as novel methods to study regulatory interactions among these levels. Topics of particular interest include, but are not limited to: mRNA expression analysis; studies on small RNAs and their roles in gene regulation; gene translation analysis; protein identification and functional studies for transcriptional networks; flux analysis and metabolomic profiling of tissues/organs; and integrated single-cell analyses for mapping signaling networks.

Sponsor:

Engineering Fundamentals in Life Science

Co-Sponsor(s):

Biomedical Applications of Chemical Engineering (T7)

Chair:

Clifford L. Wang
Assistant Professor
Stanford University
Chemical Engineering
381 NS Mall
Stanford, CA 94305
Email: cliff.wang@stanford.edu

Co-Chair:

Qing Song
Assistant Professor
University of New Hampshire
Chemical Engineering
33 College Road
Durham, NH 03824
Email: qing.song@unh.edu

Papers:

210a

Characterization of Coherent Feedforward Motifs in Mammalian Cells Using Synthetic Gene Circuits
Richard Moore, The University of Texas at Dallas; Li Yi, The University of Texas at Dallas; Leonidas Bleris, The University of Texas at Dallas

210b

High Throughput Monitoring of Pathway Activation Upon Ectopic Expression of Nanog in Human Mesenchymal Stem Cells Using Lentiviral Arrays
Janhavi Moharil, University at Buffalo, State University of New York; Panagiotis Mistriotis, University at Buffalo, State University of New York; Hui You, University at Buffalo, State University of New York; Pedro Lei, University at Buffalo, State University of New York; Jun Tian, University at Buffalo, State University of New York; Stelios T. Andreadis, University at Buffalo, State University of New York

210c

Integrated Single-Cell Analysis of Heterogeneous Secretory Profiles Exhibited by Human Primary Colorectal Tumor Cells
Viktor Adalsteinsson, The Broad Institute of Harvard and MIT; Naren Tallapragada, Massachusetts Institute of Technology; Narmin Tahirova, Massachusetts Institute of Technology; Xiaosai Yao, Massachusetts Institute of Technology; Alessandro Angelini, Massachusetts Institute of Technology; K. Dane Wittrup, Massachusetts Institute of Technology; J. Christopher Love, Massachusetts Institute of Technology

210d

Chance and Circumstance Govern Macrophage Functional Diversity
Yishan Chuang, Northwestern University; Joshua N. Leonard, Northwestern University

210e

Multiscale Prediction of Patient-Specific Platelet Function Under Flow
Matthew H. Flamm, University of Pennsylvania; Thomas Colace, University of Pennsylvania; Manash S. Chatterjee, University of Pennsylvania; Hiuyan Jing, University of Pennsylvania; Songtao Zhou, University of Pennsylvania; Daniel Jaeger, University of Pennsylvania; Lawrence F. Brass, University of Pennsylvania; Talid R. Sinno, University of Pennsylvania; Scott L. Diamond, University of Pennsylvania

210f

Prediction and Validation of Microbiota-Derived Tryptophan Metabolites with Anti-Inflammatory Properties
Kyungoh Choi, Texas A&M University; Gautham V. Sridharan, Tufts University; Robert Alaniz, Texas A&M Health Science Center; Kyongbum Lee, Tufts University; Arul Jayaraman, Texas A&M University

210g

Understanding Nitrogen Metabolism in the Biofuel Crop Poplar by Isotope-Assisted Metabolic Flux Analysis
Shilpa Nargund, University of Maryland; Ashish Misra, University of Maryland; Xiaofeng Zhang, University of Maryland; Gary D. Coleman, University of Maryland, College Park; Ganesh Sriram, University of Maryland

210h

Tandem Mass Spectrometry: The Next Frontier in 13C-Metabolic Flux Analysis
Maciek R. Antoniewicz, University of Delaware; Jungik Choi, Univerisity of Delaware

See more of this Group/Topical: Food, Pharmaceutical & Bioengineering Division - See also TI: Comprehensive Quality by Design in Pharmaceutical Development and Manufacture

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