Events

ACMS Statistics Seminar: Lynn Lin

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Location: 154 Hurley

Lynn Lin
Penn State University

3:30 PM
154 Hurley Hall

Detecting rare cells in single-cell data for HIV vaccine development

Current vaccine development for HIV has been targeted to induce protective T cells. Clinicians and immunologists rely on single-cell technologies to distinguish and identify functionally distinct T cell responses to vaccination. The ability to efficiently identify these cell subsets, especially the small ones is crucial to decipher system-level biological changes. During this talk, I will first present a new clustering framework names Hidden Markov Model on Variable Blocks (HMM

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No equations, no variables, no parameters, no space, no time: Some old and some new results in data-driven modeling of complex systems

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Location: 102 DeBartolo Hall

The Center for Informatics and Computational Science invites you to attend Yannis Kevrekidis’ seminar entitled, “No equations, no variables, no parameters, no space, no time: Some old and some new results in data-driven modeling of complex systems” on Wednesday, October 09, 2019, from 4:00 – 5:00 PM, 126 DeBartolo Hall. Yannis Kevrekidis is a Professor at Johns Hopkins. …

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Biophysics Seminar: Esther Braselmann, University of Colorado Boulder

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Location: B01 McCourtney Hall

Title: "Illuminating RNA Dynamics with Riboglow, One Molecule at a Time"

Esther Braselmann, Research Associate, Biofrontiers Institute, University of Colorado Boulder

Spatiotemporal dynamics of coding and non-coding RNAs play central roles in biology, and visualizing these processes on a single cell level may enable novel insights in underlying biology. RNA visualization has lagged behind the protein field, and there is a need to develop tools to label and visualize RNA of interest in live cells over time. We developed ‘Riboglow’ to visualize RNA live in mammalian cells that combines small size, robust applicability and multi-color fluorescent tags. A small RNA tag is attached as a fusion to an RNA of interest and addition of an organic probe induces fluorescence. We have validated Riboglow as a robust platform to visualize and track RNA dynamics in diverse applications in live mammalian cells. First, we visualized live mRNA recruitment to stress granules. Second, we tagged the non-coding U1 snRNA with Riboglow, and demonstrated its recruitment to cytosolic granules, confirming versatility to tag and visualize small non-coding RNAs that are not compatible with existing RNA imaging systems. Third, we confirmed that single mRNAs can be detected and tracked with Riboglow, and their dynamics can be quantified. Most recently, we multiplexed tracking of Riboglow-tagged mRNA with orthogonal fluorescence labeling systems to quantify mRNA dynamics during protein translation. Together, we developed a small and versatile platform to tag and visualize RNA that is compatible with diverse RNAs of interest for live cell imaging while only minimally disrupting function.…

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