{"64716":{"#nid":"64716","#data":{"type":"news","title":"Researchers Predict Age of T Cells to Improve Cancer Treatment","body":[{"value":"\u003Cp\u003EManipulation of cells by a new microfluidic device may help clinicians improve a promising cancer therapy that harnesses the body\u0027s own immune cells to fight such diseases as metastatic melanoma, non-Hodgkin\u0027s lymphoma, chronic lymphocytic leukemia and neuroblastoma.\u003C\/p\u003E\n\u003Cp\u003EThe therapy, known as adoptive T cell transfer, has shown encouraging results in clinical trials. This treatment involves removing disease-fighting immune cells called T cells from a cancer patient, multiplying them in the laboratory and then infusing them back into the patient\u0027s body to attack the cancer. The effectiveness of this therapy, however, is limited by the finite lifespan of T cells -- after many divisions, these cells become unresponsive and inactive.\n\u003C\/p\u003E\n\u003Cp\u003EResearchers at Georgia Tech and Emory University have addressed this limitation by developing a microfluidic device for sample handling that allows a statistical model to be generated to evaluate cell responsiveness and accurately predict cell \u0022age\u0022 and quality. Being able to assess the age and responsiveness of T cells -- and therefore transfer only young functional cells back into a cancer patient\u0027s body -- offers the potential to improve the therapeutic outcome of several cancers.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022The statistical model, enabled by the data generated with the microfluidic device, revealed an optimal combination of extracellular and intracellular proteins that accurately predict T cell age,\u0022 said Melissa Kemp, an assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. \u0022Knowing this information will help facilitate the clinical development of appropriate T cell expansion and selection protocols.\u0022 \n\u003C\/p\u003E\n\u003Cp\u003EDetails on the microfluidic device and statistical model were published in the March issue of the journal \u003Cem\u003EMolecular \u0026amp; Cellular Proteomics\u003C\/em\u003E. This work was supported by the National Institutes of Health, Georgia Cancer Coalition, and Georgia Tech Integrative Biosystems Institute.\u003C\/p\u003E\n\u003Cp\u003ECurrently, clinicians measure T cell age by using multiple assays that rely on measurements from large cell populations. The measurements determine if cells are exhibiting functions known to appear at different stages in the life cycle of a T cell.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Since no one measurement is a perfect predictor, it is advantageous to concurrently sample multiple proteins at different time points, which we can do with our microfluidic device,\u0022 explained Kemp, who is also a Georgia Cancer Coalition Distinguished Professor. \u0022The wealth of information we get from our device for a small number of cells far exceeds a single measurement from a population the same size by another assay type.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EFor their study, Kemp, electrical engineering graduate student Catherine Rivet and biomedical engineering undergraduate student Abby Hill analyzed CD8+ T cells from healthy blood donors. They acquired information from 25 static biomarkers and 48 dynamic signaling measurements and found a combination of phenotypic markers and protein signaling dynamics -- including Lck, ERK, CD28 and CD27 -- to be the most useful in predicting cellular age.\n\u003C\/p\u003E\n\u003Cp\u003ETo obtain biomarker and dynamic signaling event measurements, the researchers ran the donor T cells through a microfluidic device designed in collaboration with Hang Lu, an associate professor in the Georgia Tech School of Chemical \u0026amp; Biomolecular Engineering. After stimulating the cells, the device divided them into different channels corresponding to eight different time points, ranging from 30 seconds to seven minutes. Then they were divided again into populations that were chemically treated to halt the biochemical reactions at snapshots in time to build up a picture of the signaling events that occurred as the T cells responded to antigen.\u003C\/p\u003E\n\u003Cp\u003E\u0022While donor-to-donor variability is a confounding factor in these types of experiments, the technological platform minimized the experimental data variance and allowed stimulation time to be precisely controlled,\u0022 said Lu.\n\u003C\/p\u003E\n\u003Cp\u003EWith the donor T cell data, the researchers developed a model to assess which biomarkers or dynamical signaling events best predicted the quality of T cell function. The model found the most informative data in predicting cellular age to be the initial changes in signaling dynamics.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Although a combination of biomarker and dynamic signaling data provided the optimal model, our results suggest that signaling information alone can predict cellular age almost as well as the entire dataset,\u0022 noted Kemp. \n\u003C\/p\u003E\n\u003Cp\u003EIn the future, Kemp plans to use this approach of combining multiple cell-based experiments on a microfluidic chip to integrate single-cell information with population-averaged techniques, such as multiplexed immunoassays or mass spectrometry.\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cem\u003EThis project is supported in part by the National Institutes of Health (NIH)(Grant No. R21CA134299). The content is solely the responsibility of the principal investigator and does not necessarily represent the official views of the NIH.\u003C\/em\u003E\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EResearch News \u0026amp; Publications Office\u003Cbr \/\u003E\nGeorgia Institute of Technology\u003Cbr \/\u003E\n75 Fifth Street, N.W., Suite 314\u003Cbr \/\u003E\nAtlanta, Georgia  30308  USA\u003C\/strong\u003E\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMedia Relations Contacts:\u003C\/strong\u003E Abby Robinson (abby@innovate.gatech.edu; 404-385-3364) or John Toon (jtoon@gatech.edu; 404-894-6986)\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EWriter:\u003C\/strong\u003E Abby Robinson\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EResearchers are accurately predicting T cell age and quality in order to improve the effectiveness of the cancer therapy known as adoptive T cell transfer, which is currently limited by the cells\u0027 finite lifespan.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Predicting age of T cells could improve cancer therapy"}],"uid":"27206","created_gmt":"2011-03-02 01:00:00","changed_gmt":"2016-10-08 03:08:18","author":"Abby Vogel Robinson","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2011-03-02T00:00:00-05:00","iso_date":"2011-03-02T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"64717":{"id":"64717","type":"image","title":"Catherine Rivet, Abby Hill and Melissa Kemp","body":null,"created":"1449176765","gmt_created":"2015-12-03 21:06:05","changed":"1475894569","gmt_changed":"2016-10-08 02:42:49","alt":"Catherine Rivet, Abby Hill and Melissa Kemp","file":{"fid":"192077","name":"tti74257.jpg","image_path":"\/sites\/default\/files\/images\/tti74257_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tti74257_0.jpg","mime":"image\/jpeg","size":1333865,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tti74257_0.jpg?itok=nSPAxpo2"}},"64718":{"id":"64718","type":"image","title":"Melissa Kemp","body":null,"created":"1449176765","gmt_created":"2015-12-03 21:06:05","changed":"1475894569","gmt_changed":"2016-10-08 02:42:49","alt":"Melissa Kemp","file":{"fid":"192078","name":"tbp74257.jpg","image_path":"\/sites\/default\/files\/images\/tbp74257_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tbp74257_0.jpg","mime":"image\/jpeg","size":1153544,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tbp74257_0.jpg?itok=BuQsupTC"}},"64719":{"id":"64719","type":"image","title":"Microfluidic device","body":null,"created":"1449176765","gmt_created":"2015-12-03 21:06:05","changed":"1475894569","gmt_changed":"2016-10-08 02:42:49","alt":"Microfluidic device","file":{"fid":"192079","name":"tfd74257.jpg","image_path":"\/sites\/default\/files\/images\/tfd74257_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tfd74257_0.jpg","mime":"image\/jpeg","size":1055020,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tfd74257_0.jpg?itok=-JlNwrZ7"}}},"media_ids":["64717","64718","64719"],"related_links":[{"url":"http:\/\/www.bme.gatech.edu\/facultystaff\/faculty_record.php?id=97","title":"Melissa Kemp"},{"url":"http:\/\/www.chbe.gatech.edu\/faculty\/lu.php","title":"Hang Lu"},{"url":"http:\/\/dx.doi.org\/10.1074\/mcp.M110.003921","title":"Molecular \u0026 Cellular Proteomics paper"},{"url":"http:\/\/www.bme.gatech.edu\/","title":"Wallace H. Coulter Department of Biomedical Engineering"},{"url":"http:\/\/www.chbe.gatech.edu\/","title":"School of Chemical \u0026 Biomolecular Engineering"}],"groups":[{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"140","name":"Cancer Research"},{"id":"141","name":"Chemistry and Chemical Engineering"},{"id":"145","name":"Engineering"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"}],"keywords":[{"id":"12210","name":"Adoptive Immunotherapy"},{"id":"12211","name":"adoptive t cell transfer"},{"id":"7214","name":"biomarker"},{"id":"249","name":"Biomedical Engineering"},{"id":"1704","name":"chemical \u0026 biomolecular engineering"},{"id":"12214","name":"Chronic Lymphocytic Leukemia"},{"id":"594","name":"college of engineering"},{"id":"898","name":"Hang Lu"},{"id":"4514","name":"immunotherapy"},{"id":"5084","name":"Melissa Kemp"},{"id":"12212","name":"Metastatic Melanoma"},{"id":"12216","name":"Microfluidic Device"},{"id":"12215","name":"Neuroblastoma"},{"id":"12213","name":"non-Hodgkin\u2019s lymphoma"},{"id":"9047","name":"T cell"},{"id":"12217","name":"t cell age"},{"id":"12218","name":"T cell Assays"},{"id":"12209","name":"t cell therapy"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbby Robinson\u003C\/strong\u003E\u003Cbr \/\u003EResearch News and Publications\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/index.html?id=avogel6\u0022\u003EContact Abby Robinson\u003C\/a\u003E\u003Cbr \/\u003E\u003Cstrong\u003E404-385-3364\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["abby@innovate.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"46232":{"#nid":"46232","#data":{"type":"news","title":"Systems Biology Reveals Diversity in Key Environmental Cleanup Microbe","body":[{"value":"\u003Cp\u003EResearchers have completed the first thorough, system-level assessment of the diversity of an environmentally important family of microbes known as \u003Cem\u003EShewanella\u003C\/em\u003E. Microbes belonging to that genus frequently participate in bioremediation by confining and cleaning up contaminated areas in the environment.\u003C\/p\u003E\n\u003Cp\u003EThe team of researchers from the Georgia Institute of Technology, Michigan State University and the Pacific Northwest National Laboratory analyzed the gene sequences, proteins expressed and physiology of 10 strains of \u003Cem\u003EShewanella\u003C\/em\u003E. They believe the study results will help researchers choose the best \u003Cem\u003EShewanella\u003C\/em\u003E strain for bioremediation projects based on each site\u0027s environmental conditions and contaminants.\n\u003C\/p\u003E\n\u003Cp\u003EThe findings, which further advance the understanding of the enormous microbial biodiversity that exists on the planet, appear in the early online issue of the journal \u003Cem\u003EProceedings of the National Academy of Sciences\u003C\/em\u003E. This research was supported by the U.S. Department of Energy through the Shewanella Federation consortium and the Proteomics Application project.\n\u003C\/p\u003E\n\u003Cp\u003ESimilar to a human breathing in oxygen and exhaling carbon dioxide, many \u003Cem\u003EShewanella\u003C\/em\u003E microbes have the ability to \u0022inhale\u0022 certain metals and compounds and convert them to an altered state, which is typically much less toxic. This ability makes \u003Cem\u003EShewanella\u003C\/em\u003E very important for the environment and bioremediation, but selecting the best strain for a particular project has been a challenge.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022If you look at different strains of \u003Cem\u003EShewanella\u003C\/em\u003E under a microscope or you look at their ribosomal genes, which are routinely used to identify newly isolated strains of bacteria, they look identical. Thus, traditional microbiological approaches would suggest that the physiology and phenotype of these \u003Cem\u003EShewanella\u003C\/em\u003E bacteria are very similar, if not identical, but that is not true,\u0022 explained Kostas Konstantinidis, an assistant professor in the Georgia Tech School of Civil and Environmental Engineering. Konstantinidis, who also holds a joint appointment in the Georgia Tech School of Biology, led the research team in analyzing the data.\u003C\/p\u003E\n\u003Cp\u003EUsing the traditional method for determining interrelatedness between microbial strains -- sequencing of the 16S ribosomal gene -- the researchers determined that the 10 strains belonged to the same genus. However, the technique was unable to distinguish between most of the strains or define general properties that would allow the researchers to differentiate one strain from another. To do that, they turned to genomic and whole-cell proteomic data. \n\u003C\/p\u003E\n\u003Cp\u003EBy comparing the 10 \u003Cem\u003EShewanella\u003C\/em\u003E genomes, which were sequenced at the Department of Energy\u0027s Joint Genome Institute, the research team found that while some of the strains shared 98 percent of the same genes, other strains only shared 70 percent. Out of the almost 10,000 protein-coding genes in the 10 strains, nearly half -- 48 percent -- of the genes were strain-specific, and the differences in expressed proteins were consistently larger than their differences at the gene content level. \n\u003C\/p\u003E\n\u003Cp\u003E\u0022These findings suggest that similarity in gene regulation and expression constitutes an important factor for determining phenotypic similarity or dissimilarity among the very closely related \u003Cem\u003EShewanella\u003C\/em\u003E genomes,\u0022 noted Konstantinidis. \u0022They also indicate that it might be time to start replacing the traditional microbiology approaches for identifying and classifying new species with genomics- or proteomics-based methods.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EUpon further analysis, the researchers found that the genetic differences between strains frequently reflected environmental or ecological adaptation and specialization, which had also substantially altered the global metabolic and regulatory networks in some of the strains. The \u003Cem\u003EShewanella\u003C\/em\u003E organisms in the study appeared to gain most of their new functions by acquiring groups of genes as mobile genetic islands, selecting islands carrying ecologically important genes and losing ecologically unimportant genes.\u003C\/p\u003E\n\u003Cp\u003EThe most rapidly changing individual functions in the \u003Cem\u003EShewanellae\u003C\/em\u003E were related to \u0022breathing\u0022 metals and sensing mechanisms, which represent the first line of adaptive response to different environmental conditions. \u003Cem\u003EShewanella\u003C\/em\u003E bacteria live in environments that range from deep subsurface sandstone to marine sediment and from freshwater to saltwater. All but one of the strains was able to reduce several metals and metalloids. That one exception had undertaken a unique evolution resulting in an inability to exploit strictly anaerobic habitats.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Let\u0027s say you have a strain of \u003Cem\u003EShewanella\u003C\/em\u003E that is unable to convert uranium dissolved in contaminated groundwater to a form incapable of dissolving in water,\u0022 explained Konstantinidis. \u0022If you put that strain in an environment that contains high concentrations of uranium, that microbe is likely to acquire the genes that accept uranium from a nearby strain, in turn preventing uranium from spreading as the groundwater flows.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EThis adaptability of bacteria is remarkable, but requires further study in the bioremediation arena, since it frequently underlies the emergence of new bacterial strains. Konstantinidis\u0027 team at Georgia Tech is currently investigating communities of these \u003Cem\u003EShewanella\u003C\/em\u003E strains in their natural environments to advance understanding of the influence of the environment on the evolution of the bacterial genome and identify the key genes in the genome that respond to specific environmental stimuli or conditions, such as the presence of heavy metals. \n\u003C\/p\u003E\n\u003Cp\u003EOngoing studies should broaden the researchers\u0027 understanding of the relationship between genotype, phenotype, environment and evolution, he said.\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EResearch News \u0026amp; Publications Office\u003Cbr \/\u003E\nGeorgia Institute of Technology\u003Cbr \/\u003E\n75 Fifth Street, N.W., Suite 100\u003Cbr \/\u003E\nAtlanta, Georgia  30308  USA\n\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003EMedia Relations Contacts: Abby Vogel (404-385-3364); E-mail: (\u003Ca href=\u0022mailto:avogel@gatech.edu\u0022\u003Eavogel@gatech.edu\u003C\/a\u003E) or John Toon (404-894-6986); E-mail: (\u003Ca href=\u0022mailto:jtoon@gatech.edu\u0022\u003Ejtoon@gatech.edu\u003C\/a\u003E).\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EWriter:\u003C\/strong\u003E Abby Vogel\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Researchers analyzed the gene sequences, proteins expressed and physiology of 10 strains of bioremediation microbes called Shewanella. Results showed surprising diversity not seen using traditional microbiology approaches.","format":"limited_html"}],"field_summary_sentence":[{"value":"Diversity found in family of key environmental cleanup microbes"}],"uid":"27206","created_gmt":"2009-08-31 00:00:00","changed_gmt":"2016-10-08 03:03:14","author":"Abby Vogel Robinson","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2009-08-31T00:00:00-04:00","iso_date":"2009-08-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"46233":{"id":"46233","type":"image","title":"Kostas Konstantinidis","body":null,"created":"1449174358","gmt_created":"2015-12-03 20:25:58","changed":"1475894412","gmt_changed":"2016-10-08 02:40:12","alt":"Kostas Konstantinidis","file":{"fid":"101033","name":"tvl34376.jpg","image_path":"\/sites\/default\/files\/images\/tvl34376_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tvl34376_0.jpg","mime":"image\/jpeg","size":1316218,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tvl34376_0.jpg?itok=zcQBn_wO"}},"46234":{"id":"46234","type":"image","title":"Kostas Konstantinidis Shewanella","body":null,"created":"1449174358","gmt_created":"2015-12-03 20:25:58","changed":"1475894412","gmt_changed":"2016-10-08 02:40:12","alt":"Kostas Konstantinidis Shewanella","file":{"fid":"101034","name":"tkv34376.jpg","image_path":"\/sites\/default\/files\/images\/tkv34376_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tkv34376_0.jpg","mime":"image\/jpeg","size":885919,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tkv34376_0.jpg?itok=0cXvqekC"}},"46235":{"id":"46235","type":"image","title":"Kostas Konstantinidis Shewanella","body":null,"created":"1449174358","gmt_created":"2015-12-03 20:25:58","changed":"1475894412","gmt_changed":"2016-10-08 02:40:12","alt":"Kostas Konstantinidis Shewanella","file":{"fid":"101035","name":"twi34376.jpg","image_path":"\/sites\/default\/files\/images\/twi34376_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/twi34376_0.jpg","mime":"image\/jpeg","size":1704188,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/twi34376_0.jpg?itok=A5XpCmtv"}}},"media_ids":["46233","46234","46235"],"related_links":[{"url":"http:\/\/www.ce.gatech.edu\/fac_staff\/faculty-listing\/research-interests\/?active_id=ktk3","title":"Kostas Konstantinidis"},{"url":"http:\/\/www.ce.gatech.edu\/","title":"School of Civil and Environmental Engineering"},{"url":"http:\/\/www.biology.gatech.edu\/","title":"School of Biology"}],"groups":[{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"145","name":"Engineering"},{"id":"154","name":"Environment"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"}],"keywords":[{"id":"7077","name":"bacteria"},{"id":"7081","name":"bioremediation"},{"id":"4320","name":"ecology"},{"id":"807","name":"environment"},{"id":"3028","name":"evolution"},{"id":"7084","name":"genomic"},{"id":"7086","name":"genotype"},{"id":"7082","name":"metal"},{"id":"7078","name":"microbe"},{"id":"5696","name":"Microbiology"},{"id":"7079","name":"microorganism"},{"id":"7087","name":"phenotype"},{"id":"7085","name":"proteomic"},{"id":"7083","name":"remediation"},{"id":"170842","name":"Shewanella"},{"id":"167402","name":"Systems Biology"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cstrong\u003EAbby Vogel\u003C\/strong\u003E\u003Cbr \/\u003EResearch News and Publications\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/index.html?id=avogel6\u0022\u003EContact Abby Vogel\u003C\/a\u003E\u003Cbr \/\u003E\u003Cstrong\u003E404-385-3364\u003C\/strong\u003E","format":"limited_html"}],"email":["avogel@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"56449":{"#nid":"56449","#data":{"type":"news","title":"Eberhard Voit Profiled on NSF ScienceLives","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWhy Some Scientists Never Give Up \u003C\/strong\u003E\u003Cbr \/\u003E\nby Abby Vogel, Georgia Institute of Technology\n\u003C\/p\u003E\n\u003Cp\u003EMany researchers begin modeling biological systems with simple organisms, such as bacteria, that are easy to culture, manipulate genetically, maintain under controlled conditions and examine in the laboratory. Such microorganisms hint at functionality in larger organisms yet are less complex. Georgia Tech biomedical engineer Eberhard Voit, in collaboration with Helena Santos, a professor at the Universidade Nova de Lisboa in Portugal, showed that high-precision, dynamic experimental data can be combined with nonlinear mathematical modeling to characterize mechanisms in the bacterium Lactococcus lactis. \n\u003C\/p\u003E\n\u003Cp\u003ETo view full article, visit:  \u003Ca href=\u0027http:\/\/www.livescience.com\/animals\/090605-sl-voit.html\u0027\u003Ehttp:\/\/www.livescience.com\/animals\/090605-sl-voit.html\u003C\/a\u003E\n\u003C\/p\u003E\n\u003Cp\u003EFor more information on Voit lab, visit: \u003Ca href=\u0027http:\/\/www.bst.bme.gatech.edu\/\u0027\u003EEberhard Voit\u003C\/a\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Eberhard Voit, PhD, profiled on NSF\u0027s LiveScience website.  Voit discussed his team\u0027s biological systems approaches and for the development of new ways to analyze metabolites and optimize the production of valuable compounds for the food industry.","format":"limited_html"}],"field_summary_sentence":[{"value":"Why Some Scientists Never Give Up"}],"uid":"27195","created_gmt":"2009-06-22 00:00:00","changed_gmt":"2016-10-08 03:06:11","author":"Colly Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2009-06-05T00:00:00-04:00","iso_date":"2009-06-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1292","name":"Parker H. Petit Institute for Bioengineering and Bioscience (IBB)"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"140","name":"Cancer Research"},{"id":"134","name":"Student and Faculty"},{"id":"146","name":"Life Sciences and Biology"},{"id":"135","name":"Research"}],"keywords":[{"id":"249","name":"Biomedical Engineering"},{"id":"251","name":"Eberhard Voit"},{"id":"247","name":"Emory"},{"id":"246","name":"Georgia Institute of Technology"},{"id":"248","name":"IBB"},{"id":"167402","name":"Systems Biology"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cstrong\u003EColly Mitchell\u003C\/strong\u003E\u003Cbr \/\u003EParker H. Petit Institute for Bioengineering and Bioscience\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/index.html?id=cmitchell6\u0022\u003EContact Colly Mitchell\u003C\/a\u003E\u003Cbr \/\u003E\u003Cstrong\u003E404-894-5982\u003C\/strong\u003E","format":"limited_html"}],"email":["colly.mitchell@ibb.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}