Projects - Revision history

Pfikar: /* Lab-on-chip systems */

2017-05-12T08:09:23Z

‎Lab-on-chip systems

2016-11-02T11:06:02Z

2015-09-29T04:14:27Z

‎Synthetic Biology

2015-03-05T15:32:34Z

‎Synthetic Biology

2015-03-05T14:55:12Z

2015-03-05T14:53:12Z

2015-03-05T14:46:53Z

2015-03-05T14:26:09Z

2015-03-05T14:25:41Z

‎Microfluidics

2015-03-05T14:24:48Z

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 <br>
-==[[Projects/Microfluidics|Microfluidics]]==
+==[[Projects/Microfluidics|Lab-on-chip systems]]==
 [[File:master.jpg|thumb|right|alt=Silicon master for the PDMS soft-lithography.|A soft-lithography silicon master used for fabrication of the microfluidic devices at the Georgiev Lab.]]
-Our Microfluidics Research focuses on the study of microfluidic transport phenomena and the design of microfluidic devices with applications in synthetic biology. Current research projects include design and development of sensitive cell sorting techniques, on-chip cell culture, bio-sensors and cell-to-cell communication analysis.
+Lab-on-chip systems integrate one or more lab functions on a chip of just couple centimeters squared. Such systems are able to work with extremely low volumes of liquid samples, can significantly decrease costs of individual operations and decrease requirements on additional hardware. Hence they enable for instance implementation of affordable diagnostic tools for cancer or development of tools enabling selection of optimal therapy increasing treatment efficiency and its personalization for individual patients.
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 ==[[Projects/Synthetic Biology|Synthetic Biology]]==
-[[File:lab.jpg|thumb|right|alt=-|Synthetic Biology wet lab.]]
+[[File:New_lab.jpg|thumb|right|alt=-|Synthetic Biology wet lab.]]
 Synthetic Biology is often misinterpreted to be a discipline encompassing the available biological (cloning, cultivation, analysis, etc.) protocols as well as the established application areas (bioproduction, adaptive therapy, etc.).  While the laboratory limitations and application needs are important inputs and outputs to this area, we believe the primary and direct contribution of Synthetic biology is a systematic engineering method for developing biotechnology.  Our research focuses on practical design rules and efficient tuning algorithms with the purpose of making the synthesis of regulatory and signalling devices faster and more reliable.
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@@ Line 5: / Line 5: @@
 ==[[Projects/Synthetic Biology|Synthetic Biology]]==
 [[File:lab.jpg|thumb|right|alt=-|Synthetic Biology wet lab.]]
-Synthetic Biology is often misinterpreted to be a discipline encompassing the available biological (cloning, cultivation, analysis, etc.) protocols as well as the established application areas (bioproduction, adaptive therapy, etc.).  While the laboratory limitations and application needs are important inputs and outputs to this area, we believe the primary and direct contribution of Synthetic biology is a systematic engineering method for developing biotechnology.  Or research focuses on practical design rules and efficient tuning algorithms with the purpose of making the synthesis of regulatory and signalling devices faster and more reliable.
+Synthetic Biology is often misinterpreted to be a discipline encompassing the available biological (cloning, cultivation, analysis, etc.) protocols as well as the established application areas (bioproduction, adaptive therapy, etc.).  While the laboratory limitations and application needs are important inputs and outputs to this area, we believe the primary and direct contribution of Synthetic biology is a systematic engineering method for developing biotechnology.  Our research focuses on practical design rules and efficient tuning algorithms with the purpose of making the synthesis of regulatory and signalling devices faster and more reliable.
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@@ Line 5: / Line 5: @@
 ==[[Projects/Synthetic Biology|Synthetic Biology]]==
 [[File:lab.jpg|thumb|right|alt=-|Synthetic Biology wet lab.]]
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← Older revision		Revision as of 14:55, 5 March 2015
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	==[[Projects/Synthetic Biology\|Synthetic Biology]]==		==[[Projects/Synthetic Biology\|Synthetic Biology]]==
		+	[[File:lab.jpg\|thumb\|right\|alt=-\|Synthetic Biology wet lab.]]
	<br>		<br>

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 * [http://ccy.zcu.cz/registr/CNRDDstatistika.html MADORA] - Marrow Donor Register Analytics (MADORA) for the Czech National Register of Marrow Donors (CNRDD)
 * [http://ccy.zcu.cz/registr/CZ-HANA.html HANA] - Haplotype analyzer (HANA) for the Czech population.
+<br>
 ==[[Projects/Microfluidics|Microfluidics]]==

← Older revision		Revision as of 14:25, 5 March 2015
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	Our Microfluidics Research focuses on the study of microfluidic transport phenomena and the design of microfluidic devices with applications in synthetic biology. Current research projects include design and development of sensitive cell sorting techniques, on-chip cell culture, bio-sensors and cell-to-cell communication analysis.		Our Microfluidics Research focuses on the study of microfluidic transport phenomena and the design of microfluidic devices with applications in synthetic biology. Current research projects include design and development of sensitive cell sorting techniques, on-chip cell culture, bio-sensors and cell-to-cell communication analysis.
		+	<br>

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 ==[[Projects/Synthetic Biology|Synthetic Biology]]==
-[[File:wiki_GeneTuning.png|thumb|right|alt=gfp under control of placI.|GFP under control of pLacI.]]
-Transcription networks are commonly used in synthetic biology to implement a wide variety of regulatory, logic, and temporal functions.  Tuning of transcription networks is commonly achieved by design of the gene promoter regions.  Characterized promoter libraries serve well in this design as an initial starting point (Hammer 2006).  As with any engineered system, however, precise behavior is attained by in vivo fine tuning.  Model based tuning is made difficult by inherent biological model overparametrization (Gutenkunst 2008).  Tuning using high throughput assays is also prohibitive both in terms of experimental workload and precision. Georgiev Lab is working on developing precise model-free tuning protocols.  These are protocols that are able to identify small differences between competing promoter designs and isolate the ones that yield desirable behaviors, e.g., robustness to common perturbations, fast activation times, sufficient temporal spacings, and correct equilibrium concentrations.
 ==Bioinformatics==