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Engineering Approaches to Studying Cancer Cell Migration

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During cancer metastasis, cells move from the primary tumor, traversing heterogeneous terrain before seeding within a secondary site. Quantitative systems biology observes this terrain, including changes in tissue stiffness and architecture which can affect cell behavior and metastatic potential. In this talk, I will describe my lab’s efforts to understand the forces driving cell movements […]

Transport Transforms for Data Analysis and Machine Learning

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Based on optimal transport theory, transport transforms are non-linear transforms that are well suited for many applications in data analysis, classification, and processing. In many situations, ranging from machine learning and signal processing, transport-based algorithms have outperformed state-of-the-art methods. In this talk, we will describe the Cumulative Distribution Transform (CDT), the Radon-CDT, and some of […]

“The Connections Between Enhancer Architecture and Function”

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To carry out an enormous diversity of tasks, proteins can assume a variety of structures or disordered states, and years of work have made the connection between protein sequences, structures, and functions. Enhancers and other pieces of regulatory DNA regulate gene expression in highly disparate biological processes, but we still lack general principles that can […]

Image analysis and AI in microscopy-based life science research

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Biological processes can be observed both in space and over time using imaging. Visual assessment becomes limiting as datasets grow, and complexity of data as well as subtleness of processes makes it difficult to draw confident conclusions without automated and quantitative measurement strategies. Traditionally, digital image processing has relied on engineering mathematical models of e.g. […]

“From games in Cancer to endless evolution: a view through the algorithmic lens”

Any process can be framed as an algorithm; its power and its limits can then be analysed with the techniques of theoretical computer science. To analyse algorithms, we divide the world in two (i) the problem space that shapes what might happen and (ii) the dynamics of what does happen. If we fix an idealized […]

Moving the message: how mRNA transcripts are spatially patterned to direct developmental outcomes

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Event Zoom Link Gene expression involves the precise regulation of messenger RNA (mRNA) transcripts in space and time. In developing embryos, this process must be precisely executed to ensure cells adopt their proper cell fates and developmental outcomes. Dr. Osborne Nishimura's lab explores how mRNA transcripts concentrate within biomolecular condensates or at membranes within the […]

Early life microbiota development and childhood asthma – microbes to mechanisms

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A presentation by Susan Lynch Professor of Medicine, Director, Benioff Center for Microbiome Medicine, University of California: San Francisco Zoom link https://us02web.zoom.us/j/87550168229 The prevalence of allergy and asthma has increased significantly over the past several decades, but particularly so in industrialized nations where environmental exposures and lifestyles have rapidly diverged from those with which humans […]

Using Single-Cell Multiplexed Imaging and Manifold Learning to Visualize Cell Cycle Plasticity in Health and Disease

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A Presentation by Wayne Michael Stallaert, Ph.D. Postdoctoral Researcher in Computational Medicine, University of North Carolina at Chapel Hill The recent development of single-cell approaches to study the cell cycle (e.g. time-lapse imaging of fluorescent cell cycle biosensors) has revealed that cells do not always take the same molecular path through the cell cycle. This […]

Precision and Plasticity in Animal Transcription

Over the past decade, our group has focused on discerning the molecular mechanisms that can reconcile how transcriptional control during animal development can be simultaneously precise (e.g. sharp in response to variable inputs) and plastic (e.g. able to harbor genetic variation at multiple scales). I will discuss how our work supports a view of transcription […]

A Model of Non-modular Biochemical Oscillator and Switch

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Negative and positive feedback loops have been considered essential components for biological rhythms and switches, respectively. Research in systems biology focused on gene regulatory networks with intuitive appearances of feedback loops, leaving unknown whether other common biochemical reactions can produce oscillatory or switch-like dynamics. We used mass-action-based models to show that regulated RNA degradation involving […]

Highly-multiplexed tissue imaging at the Laboratory of Systems Pharmacology and beyond

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Single-cell technologies have revolutionized our ability to characterize biological systems. An exciting direction for quantitative biology is the recent emergence of spatial -omics technologies, which promise to spatially resolve single-cell measurements and allow us to study cell neighborhoods in unprecedented detail. In this talk, I will provide an overview of highly-multiplexed tissue imaging, a particular class of methods that uses fluorescence […]

From Data to Knowledge in Network-Driven Cellular Processes

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A mechanistic understanding of cellular processes continues to be an elusive goal of quantitative biology. Measurements across multiple spatiotemporal resolutions are routinely collected but how these data impact our understanding of biological processes is often not clear. In this presentation, I will address the link between data and knowledge across multiple data types and explore […]

Modeling intra-cellular insulin dynamics in pancreatic Beta cells

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In this talk, I will discuss the role of cytoskeletal processes in regulating insulin dynamics in pancreatic cells. Due to the increasing prevalence of diabetes and related disorders, understanding how individual cells regulate insulin availability and secretion in response to glucose stimulation is of utmost importance. I will focus on the intra-cellular (rather than systemic) […]

Redundancy and fragility in a young but essential gene regulatory network

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Early in embryogenesis, C. elegans worms use a short network of interacting and related transcription factors to establish gut cell identity. The goal is to activate a downstream master regulator which stays on throughout a worm's life and directs gut differentiation and maintenance. Although the network is robust to deletions of some of its trans-activators, […]

Systems Biology Insights into Antimicrobial Resistance Physiology

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Bactericidal antibiotics are conventionally understood to kill bacteria through a target-dependent process mediated by antibiotic inhibition of replicative machinery. However, several lines of evidence suggest that other aspects of bacterial physiology may also play a decisive, causal role. Yet, the interplay between bacterial metabolism and bactericidal antibiotic lethality is challenging to study due to the […]

Demystifying Scientific Publishing from the Perspective of a Researcher Turned Editor

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Papers are the core currency of scientific research; not only are they the primary medium researchers use to communicate their work, but the number of papers a researcher publishes and where they are published is often used as a proxy for a researcher’s worthiness of grants and promotion. Today, commercial publication is handled by five […]

Expanding the Genomechanics Toolbox: New Techniques to Investigate Metastatic Mechanical and Genetic Data at Single Cell Level across the Genome

Engineering & Science Building 048 Vanderbilt University, Nashville

Nine out of every ten cancer-related deaths is caused by metastasis, but the molecular mechanisms driving this process are still not fully understood. Several studies have implicated that as a cell’s metastatic potential increases, cell stiffness decreases. Yet while certain genes that affect cell mechanics have been studied, a genome-wide study of networks that modulate […]

Building the Cell from Unreliable Parts: the Case of Stochastic Organelle Biogenesis

Engineering & Science Building 048 Vanderbilt University, Nashville

Perhaps the defining feature of the eukaryotic cell is its organization into membrane-bound compartments known as organelles. While the processes underlying the biogenesis of individual organelles are often well-known the precision with which individual cells exert quantitative control over individual organelle properties, such as number and size, and coordinate these properties at systems-scale across the […]

Interpretable Deep Learning for Cancer Personalized Medicine

Engineering & Science Building 048 Vanderbilt University, Nashville

In recent years, deep learning models have resulted in outstanding breakthrough performances. However, many models behave as black boxes that can hide data biases, incorrect hypotheses or even software errors. In this talk, I will illustrate how interpretable deep learning models can achieve both high prediction accuracy and transparency. First, I will introduce multi-modal deep […]