Tags: nano/bio

Online Presentations (1-20 of 306)

  1. Fundamental Limits to the Precision of Multicellular Sensing

    27 Jun 2017 | | Contributor(s):: Andrew Mugler

    Here we address, with both theory and experiments, whether cell-cell communication improves concentration- and gradient-sensing precision. We develop a minimal model of collective sensing by cells that communicate via juxtacrine signaling, in which a small molecule is exchanged between...

  2. [Illinois] NanoBIO Interfaces

    13 Apr 2017 | | Contributor(s):: Aleksei Aksimentiev

    11/29/2016Light/Matter Interactions at the Nano-Bio Interface Workshop

  3. Unsupervised Learning to Unravel Differential Cell Fate Outcomes

    17 Jan 2017 | | Contributor(s):: Kristen Naegle

    Cells are constantly receiving cues from the outside world and responding to them by altering their physiological fate by transducing this signal via intracellular biochemical networks. An important mechanism that many cell networks utilize to transduce these signals is the regulation of protein...

  4. Tracking the Maturation of Organelles and Signaling Cluster with Quantitative Super-Resolution Microscopy

    15 Dec 2016 | | Contributor(s):: Elias M. Puchner

    Quantitative Super-Resolution Microscopy is evolving into a powerful technique to study biological processes below the optical diffraction limit. However, a deeper understanding of the biological structures under investigation is often limited by the inability to quantify their molecular...

  5. Characterizing Noise in a Mathematical Model of the Adipogenic Transcriptional Network

    15 Dec 2016 | | Contributor(s):: Alexandra Jilkine

    For each model, we first characterized overall susceptibility to noise by calculating the relative local sensitivity of AdipoQ and fat to various parameters. We then simulated the experiment done by Loo et al. with 30% added noise to determine if our system could replicate their data. Our...

  6. Population Density Modulates Antibiotic Efficacy, Treatment Bistability, and the Evolution of Resistance in Bacteria

    13 Dec 2016 | | Contributor(s):: Kevin Wood

    In this talk, I will discuss our recent work to address these questions by measuring real-time per capita growth of Enterococcus faecalis populations at fixed population densities using multiplexed computer-automated culture devices. We show that density-dependent growth inhibition is pervasive...

  7. Tissue-Level Communication Through Patterning Of Intercellular Ca2+ Wave Dynamics

    22 Nov 2016 | | Contributor(s):: Jeremiah J. Zartman

    Here we characterize periodic intercellular Ca2+ waves (ICWs) in a model organ system of epithelial growth and patterning—the Drosophila wing imaginal disc. We developed a novel regulated environment for micro-organs (REM-Chip) device that enable a broad range of genetic, chemical and...

  8. Decoding the Epigenetic Language of Life

    22 Nov 2016 | | Contributor(s):: Jian-Kang Zhu

    I will describe work in my lab that has shed light on how DNA methyltransferases and demethylases are guided to specific sequences, and how the antagonistic actions of the enzymes are coordinated to generate proper DNA methylation patterns. I will also describe some of our recent work on how DNA...

  9. The Epithelial-Mesenchymal Transition Its role in metastasis? Can Theory Help Cancer Biology?

    19 Oct 2016 | | Contributor(s):: Herbert Levine

    In order to spread from the primary tumor to distant sites, cancer cells must undergo a coordinated change in their phenotypic properties referred to as the "epithelial-to-mesenchymal" transition.  We have studied the nonlinear genetic circuits that are responsible for this...

  10. Collective Sensing by Communicating Cells

    22 Sep 2016 | | Contributor(s):: Andrew Mugler

    In this talk I will describe recent theoretical and experimental results in which this question is explored in several contexts, including gradient detection by groups of epithelial cells. I will show how communication allows cells to perform qualitatively new behaviors that single cells cannot...

  11. E304 L10.1.2: Nanobiotechnology - Information Storage and Retrieval in the Cell

    14 Jun 2016 |

  12. E304 L10.1.3: Nanobiotechnology - Energy Generation and Storage Within the Cell

    14 Jun 2016 |

  13. E304 L10.1.4: Nanobiotechnology - Application: Molecular Motors

    14 Jun 2016 |

  14. [Illinois] ECE 564 Lecture 20

    13 Jun 2016 | | Contributor(s):: Gabriel Popescu

  15. [Illinois] Hybrid Molecular-Scale Materials

    13 Jun 2016 | | Contributor(s):: Maiken Mikkelsen

    Plasmonics and Applications Workshop 2016 Hybrid Molecular-Scale Materials Maiken Mikkelsen 3.21.16

  16. E304 L9.1.5: Nanofluidics - Application: Electrokinetic Pumps

    27 May 2016 |

  17. Single Molecule Imaging in Live Cells

    28 Aug 2015 | | Contributor(s):: Kenneth Ritchie

    Bacteria, such as Escherichia coli and Caulobacter crescentus, are the most studied and perhaps best-understood organisms in biology. The advances in understanding of living systems gained from these organisms are immense....

  18. [Illinois] DIY BIOSENSORS Day 3 Summer 2014 Workshop

    03 Jul 2014 | | Contributor(s):: Kaustubh Bhalerao

    In Day 3, the students continue building their first models of the biosensors. Once completed, they test out their newly-built biosensor with spoiled milk and evaluate their design. The students then start designing their second prototype. At the end, then discussed and reevaluated their...

  19. [Illinois] DIY BIOSENSORS Day 4 Summer 2014 Workshop

    28 Jun 2014 | | Contributor(s):: Kaustubh Bhalerao

    In Day 4, the second prototype biosensors continued to be tested. The thought process of building an effective biosensor was then discussed. There were five steps taken: the design objective, design criteria, first prototype, lessons learned, and second prototype. Each of these steps was then...

  20. [Illinois] DIY BIOSENSORS Day 5 Summer 2014 Workshop

    28 Jun 2014 | | Contributor(s):: Kaustubh Bhalerao

    In Day 5, each group gave a presentation about the biosensor they had created. They discussed the design objective, design criteria, first prototype, lessons learned, and the second prototype. In trying to depict their biosensor as the best, they learned what is sought from the market when...