Lorena Postiglione, M. Biomedical Eng. Tutor: Dr. Diego di Bernardo XXIX Cycle – 1 st year presentation Towards Microfluidics-based Automatic Control of.

Slides:



Advertisements
Similar presentations
Development of Cell Lines for Controlled Proliferation and Apoptosis Mohamed Al-Rubeai University College Dublin Cell Line Development and Engineering,
Advertisements

The Effects of Molecular Noise and Size Control on Variability in the Budding Yeast Cell Cycle  Talia et al, Nature, 23 August 2007  William Morejón.
Author: Gene Yu Co-Authors: Dr. AlexBlake Dr. David Eddington July 29, 2010 NSF Research Experiences for Undergraduates (REU) in Novel Advanced Materials.
Repressilator Presentation contents: The idea Experimental overview. The first attemp. The mathematical model. Determination of the appropiate parameters.
EET 2351 Lecture 2 Professor: Dr. Miguel Alonso Jr.
FDA Update on Laboratory Developed Tests Oversight Laura M. St. Martin, M.D., M.P.H. Acting Branch Chief, Human Tissues and Reproduction Branch, Division.
MONOLITHIC 3-D MICROFLUIDIC DEVICE FOR CELL ASSAY WITH AN INTEGRATED COMBINATORIAL MIXER 陳睿鈞 Mike C. Liu, Dean Ho, Yu-Chong Tai Department of Bioengineering,
Applications of Synthetic Biology Kristala L. J. Prather Department of Chemical Engineering, Massachusetts Institute of Technology NSF Synthetic Biology.
20 10 School of Electrical Engineering &Telecommunications UNSW UNSW 10 Author – Huaiyu Scott Lin Supervisor : Andrey Savkin / Co-Supervisor:
Engineering H193A - Team Project Gateway Engineering Education Coalition P. 1Spring Quarter 2004 Engineering H193A Basics of Microscope Use (Guest Lecture.
Tracking a moving object with real-time obstacle avoidance Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan and Mongi Abidi Imaging, Robotics and.
Generating Robust and Consensus Clusters from Gene Expression Data Allan Tucker a, Stephen Swift a, Xiaohui Liu a, Nigel Martin b, Christine Orengo c,
Giansimone Perrino Tutor: Diego di Bernardo – co-Tutor: Mario di Bernardo XXIX Cycle - I year presentation Identification and Control of Gene Regulatory.
O Goal: Engineer synthetic RNA devices for the reversible arrest of mammalian cell populations in G 0/1. o Previous methods: Currently available small.
Cost of Unneeded Protein in E.coli is Reduced after Several Generations in Exponential Growth Irit Shachrai,Alon Zaslaver,Uri Alon, and Erez Dekel Murugappan.
Synthetic gene networks that count Lv ChenChen. A counter!! A counter is a key component in digital circuits and computing that retains memory of events.
First Institute of Higher Education in Modern China Since 1895 A World-class, Progressive, and Multidisciplinary Research University.
Synthetic biology: New engineering rules for emerging discipline Andrianantoandro E; Basu S; Karig D K; Weiss R. Molecular Systems Biology 2006.
January 6 th, 2010 Ju Han Imaging & Informatics Lab Life Sciences Division Molecular Predictors of 3D Morphogenesis by Breast Cancer.
Wits_CSIR iGEM 2011/iGEM experience Presenter: Gloria Hlongwane School of Molecular and Cell Biology/ School of Chemical and Metallurgical Engineering,
Caenorhabditis (C.) elegans is an intriguing model animal. Often times, researchers may need to silence the squirming worms and brought them to various.
An Innovative Platform for Rapid and Multiplexed Cancer Biomarker Detection with Surface-enhanced Raman Scattering Nanotags Dr. Yuling Wang (ARC DECRA.
Digital two photon microscopy for multiple fast signals acquisition Laboratory of Advanced Biological Spectroscopy (L.A.B.S.) University of Milan - Bicocca.
Systems Biology ___ Toward System-level Understanding of Biological Systems Hou-Haifeng.
IGEM TEAM EPF-LAUSANNE International Genetically Engineered Machine.
A Genetic Differential Amplifier: Design, Simulation, Construction and Testing Seema Nagaraj and Stephen Davies University of Toronto Edward S. Rogers.
Company LOGO A continuous cell separation chip using hydrodynamic dielectrophoresis (DEP) process Pichit Sirikriangkrai ( 李俊榮 ), ME November 5 th, 2012.
A MICROFLUIDIC CHIP WITH A NANOSCALE ARRAY FOR ANALYSIS OF VIRUS PARTICLES Kidong Park, Demir Akin, Rashid Bashir Birck Nanotechnology Center, School of.
A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches Cantone, I., Marucci, L., Iorio, F., Ricci, M., Belcastro,
FLUORESCENT DETECTION USING OPTICAL FIBERS WITH CARDIAC MYOCYTES DESIGN GROUP EIGHT FLUORESCENT DETECTION USING OPTICAL FIBERS WITH CARDIAC MYOCYTES Paul.
In silico feedback for in vivo regulation of a gene expression circuit Shared by lxshen.
University of Pavia Dep. of Electrical, Computer and Biomedical Engineering Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology.
Real-Time Biomonitoring of Cytotoxicity in 3D Autobioluminescent Human Tissue Culture Models Haylie Lam Chemical Engineering and Biochemistry and Cellular.
Synthetic Biology Sergio Peisajovich Lim Lab June 2007.
MARTe real-time acquisition system of a Two-Color Interferometer for
Biological System – Yeast Pheromone Signal Transduction Pathway
Pulse Width Modulation Based On Phase Locked Loop
References & Acknowledgements
Cellular signaling is fundamentally dynamic.
Jason Chiang Department of Electrical and Computer Engineering
Cytokine-induced rapid ICAM-1 expression on human ASM promotes adhesion of activated T lymphocytes. Cytokine-induced rapid ICAM-1 expression on human ASM.
Localization of H2B-GFP protein in HeLa cells.
KG-501 suppresses NSCLC/IL-1β CM–induced migration of HUVECs by regulating IL-1β–induced CXC chemokine gene expression in NSCLC cells. KG-501 suppresses.
TITLE Authors Institution RESULTS INTRODUCTION CONCLUSION AIMS METHODS
Songjian Lu, PhD Assistant Professor
IL-1β stimulates CXCL5 and CXCL8 gene expression and protein secretion in A549 cells in a time- and dose-dependent manner. IL-1β stimulates CXCL5 and CXCL8.
miR-133a positively regulated p53/p21 pathway.
Diffusion of Biospecies within a Lung-on-a-chip Device
Subhayu Basu et al. , DNA8, (2002) MEC Seminar Su Dong Kim
In silico models and experimental assessment of programmed synthetic biochemical circuits In silico models and experimental assessment of programmed synthetic.
ECE 477 Digital Systems Senior Design Project  Spring 2006
Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells  Bartolomeo Angelici, Erik Mailand, Benjamin.
Schedule-dependent interaction between anticancer treatments
Dr. Unnikrishnan P.C. Professor, EEE
The β-tubulin C-terminal tail modulates the sensitivity of microtubules to paclitaxel. The β-tubulin C-terminal tail modulates the sensitivity of microtubules.
Author: Gene Yu Co-Authors: Dr. AlexBlake Dr. David Eddington
Volume 137, Issue 1, Pages (April 2009)
Volume 115, Issue 6, Pages (December 2003)
Daniel Schultz, Adam C. Palmer, Roy Kishony  Cell Systems 
Engineering Biological Systems with Synthetic RNA Molecules
The up-regulation of Galnt3 by Pi requires activation of the ERK pathway and induction of Egr1 and Etv5. The up-regulation of Galnt3 by Pi requires activation.
The initial targeting of Sec61b mRNA to the ER is partially dependent on ribosomes and translation. The initial targeting of Sec61b mRNA to the ER is partially.
GFP–Sec61b mRNA competes with t-ftz mRNA for the ribosome-binding sites on the ER. (A,B) COS7 cells were transfected with plasmid containing a test gene.
Effect of the plastid translation inhibitor Spec on LR development
Aplf downregulation does not induce cellular arrest.
The Systematic Production of Cells for Cell Therapies
Carcinoma cell–secreted IL-1 induces PGE2 production in MSCs
Blockade of cell cycle at G2-M phase in Bel-7402 cells treated with IG-105. Blockade of cell cycle at G2-M phase in Bel-7402 cells treated with IG-105.
Detection of protein levels of Cdc25AWT and its mutation derivatives in breast cancer cells with I3C treatment. Detection of protein levels of Cdc25AWT.
A, indicated model systems were cultured in media containing complete serum, harvested, and lysed; total protein was separated by SDS-PAGE, transferred.
Presentation transcript:

Lorena Postiglione, M. Biomedical Eng. Tutor: Dr. Diego di Bernardo XXIX Cycle – 1 st year presentation Towards Microfluidics-based Automatic Control of gene expression in mammalian cells

Lorena Postiglione 2 Control Engineering in Biology Aim: To force a population of living cells to produce a desired (fixed or time varying) amount of a protein DESIRED fluorescence EXPERIMENTAL fluorescence tetracycline

Microfluidic device and input administration Martin Kolnik et al., Lab on a Chip Inducer Input Untreated Input Syringe Treated medium Syringe Untreated medium Lorena Postiglione 3

4 Experimental Platform tetracycline treated or untreated media

Lorena Postiglione 5 Target reference: 50% of initial steady state fluorescence Calibration time: 3 hrs Control duration: 3500 min Set point control: In vitro control Relay controllerPI-PWM controller

Lorena Postiglione 6 Conclusions & Future Plans Develop model-based controllers Perform tracking control experiment Develop a single cell control strategy DidacticsSeminarsResearch activity 1 st year CFU A feedback control strategy can successfully regulate the gene expression in mammalian cells. Relay and PI controllers don’t achieve optimal performances Automatic control of gene expression in a mammalian cell line Chiara Fracassi, Lorena Postiglione, Gianfranco Fiore, and Diego di Bernardo, ACS Synthetic Biology (in preparation) The Second International Mammalian Synthetic Biology Workshop, April 2015,Massachusetts Institute of Technology Cambridge, MA, USA

Lorena Postiglione 7 Acknowledgements Systems and Synthetic Biology Lab

Lorena Postiglione 8

9 An algorithm computes a mask on the phase contrast image T s =15 min Image acquisition and real-time processing

Controller design: Relay controller with hysteresis u er + system yp - In silico relay control Lorena Postiglione 10

Controller design:Proportional-Integral (PI) controller with Pulse Width Modulator (PWM) input uer PI + PWM system yp - Lorena Postiglione 11

Controller design:Proportional-Integral (PI) controller with Pulse Width Modulator (PWM) input uer PI + system yp - PWM In silico PI-PWM control Lorena Postiglione 12

13

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.