Sriram Lab:Research: Difference between revisions

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Dr. Sriram's research is in two related areas: systems biology and metabolic engineering. Systems biology is the holistic, quantitative analysis of large-scale biological data sets toward improved understanding, prediction, and control of how a cell or organism behaves. Metabolic engineering is the rational modification of organisms for improvement of their cellular properties. These are interdisciplinary fields with immense potential for chemical engineers to uniquely apply their expertise, and also very rapidly growing research areas.
[[Image:Mcf-1475-2859-12-109-3-l.jpg|thumb|right|175px|'''Fig. 1. Putative metabolic pathways in the marine diatom <i>Phaeodactylum tricornutum</i> investigated by us through isotope-assisted metabolic pathway analysis.''' Click for higher resolution and detail; see Fig. 2 for isotope-assisted analysis of some of these pathways. From [http://www.microbialcellfactories.com/content/12/1/109 this publication].]]


The Sriram Lab's research is focused on two related areas: <b>metabolic engineering</b> and <b>systems biology</b>. Metabolic engineering is the rational modification of organisms to improve their cellular properties or performance. Systems biology is the holistic, quantitative analysis of large-scale biological datasets toward improved understanding, prediction and control of how a cell, tissue or organism behaves. Both these are very rapidly growing, interdisciplinary research areas with immense potential for chemical engineers to uniquely apply their expertise.


Dr. Sriram focuses on analyzing and engineering metabolic and gene regulatory pathways of plants and mammalian cells. Metabolic pathways are "traffic maps" of carbon and other materials within cells, and gene regulatory pathways are networks showing how this traffic is controlled by the cell. Such analysis provides insights into bottlenecks existing in the cell, and how these can be improved by engineering the pathways. Dr. Sriram's research utilizes experimental techniques such as stable isotope labeling, NMR, gas chromatography-mass spectrometry, cDNA microarray analysis, and several computational techniques for metabolic flux/pathway analysis and deduction of gene regulatory networks.
[[Image:Mcf-1475-2859-12-109-4-l.jpg|thumb|left|300px|'''Fig. 2. Isotope-assisted metabolic pathway analysis in the marine diatom <i>Phaeodactylum tricornutum</i> reveals evidence for flux through the Entner-Doudoroff (ED) pathway.''' Click for higher resolution and detail; see Fig. 1 for pathways. From [http://www.microbialcellfactories.com/content/12/1/109 this publication].]]


In particular, we analyze and engineer metabolic and gene regulatory networks in living systems. Metabolic pathways are "traffic maps" of carbon and other elements within cells (Fig. 1) and gene regulatory networks (Fig. 3) show how protein-DNA interactions control cellular activities. Such analyses provide several nontrivial insights, including strategies to relieve metabolic bottlenecks and boost cellular performance by manipulating select genes.


Studying plants in this way is highly important in today's economy because plants are sources of food, biofuel, and specialty chemicals such as pharmaceuticals. Mammalian tissue cultures provide a means to understand human genetic diseases in greater detail, especially how biological networks are perturbed due to the lack of a gene or genes.
[[Image:Bmcsysbiol-misra-sriram-2013-fig2.jpg|thumb|right|400px|'''Fig. 3. An Arabidopsis transcription factor-gene regulatory network as quantitatively deduced by network component analysis.''' Click for higher resolution and detail. From [http://www.biomedcentral.com/1752-0509/7/126/abstract this publication].]]
 
Toward these objectives, we combine experimental techniques such as isotope labeling, two-dimensional (2-D) NMR, gas chromatography-mass spectrometry (GC-MS), DNA microarray analysis and quantitative RT-PCR (qPCR) with several computational techniques for metabolic flux/pathway analysis and gene regulatory network deduction (Figs. 2, 3).
 
Many of our applications focus on plants and related systems. The plant kingdom is the primary source of several commodities crucial to an economy such as food, biofuels, fiber, several high-value therapeutics and recently, renewable chemical industry feedstocks. Highly sophisticated plant metabolic networks synthesize these commodities from thin air (CO<sub>2</sub>), light and minerals. Quantitative studies of plant networks open up the prospect of smartly engineering these networks for beneficial purposes, and therefore hold much promise for a sustainable future. We also study bacterial, yeast and mammalian cells. Investigations of networks in these cells enable their metabolic engineering for the production of select high-value chemicals, or provide insights on how biological networks are perturbed due to the lack of function of a gene or genes in genetically inherited diseases.  


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Revision as of 09:26, 27 November 2013

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Fig. 1. Putative metabolic pathways in the marine diatom Phaeodactylum tricornutum investigated by us through isotope-assisted metabolic pathway analysis. Click for higher resolution and detail; see Fig. 2 for isotope-assisted analysis of some of these pathways. From this publication.

The Sriram Lab's research is focused on two related areas: metabolic engineering and systems biology. Metabolic engineering is the rational modification of organisms to improve their cellular properties or performance. Systems biology is the holistic, quantitative analysis of large-scale biological datasets toward improved understanding, prediction and control of how a cell, tissue or organism behaves. Both these are very rapidly growing, interdisciplinary research areas with immense potential for chemical engineers to uniquely apply their expertise.

Fig. 2. Isotope-assisted metabolic pathway analysis in the marine diatom Phaeodactylum tricornutum reveals evidence for flux through the Entner-Doudoroff (ED) pathway. Click for higher resolution and detail; see Fig. 1 for pathways. From this publication.

In particular, we analyze and engineer metabolic and gene regulatory networks in living systems. Metabolic pathways are "traffic maps" of carbon and other elements within cells (Fig. 1) and gene regulatory networks (Fig. 3) show how protein-DNA interactions control cellular activities. Such analyses provide several nontrivial insights, including strategies to relieve metabolic bottlenecks and boost cellular performance by manipulating select genes.

Fig. 3. An Arabidopsis transcription factor-gene regulatory network as quantitatively deduced by network component analysis. Click for higher resolution and detail. From this publication.

Toward these objectives, we combine experimental techniques such as isotope labeling, two-dimensional (2-D) NMR, gas chromatography-mass spectrometry (GC-MS), DNA microarray analysis and quantitative RT-PCR (qPCR) with several computational techniques for metabolic flux/pathway analysis and gene regulatory network deduction (Figs. 2, 3).

Many of our applications focus on plants and related systems. The plant kingdom is the primary source of several commodities crucial to an economy such as food, biofuels, fiber, several high-value therapeutics and recently, renewable chemical industry feedstocks. Highly sophisticated plant metabolic networks synthesize these commodities from thin air (CO2), light and minerals. Quantitative studies of plant networks open up the prospect of smartly engineering these networks for beneficial purposes, and therefore hold much promise for a sustainable future. We also study bacterial, yeast and mammalian cells. Investigations of networks in these cells enable their metabolic engineering for the production of select high-value chemicals, or provide insights on how biological networks are perturbed due to the lack of function of a gene or genes in genetically inherited diseases.