Neural responses in association brain areas during cognitive tasks are heterogeneous, and the widespread assumption is that this heterogeneity reflects complex dynamics involved in cognition. However, the complexity may arise from a fundamentally different coding principle: the collective dynamics of a neural population encode simple…

Deep in the ocean or underground, where there is no oxygen, Geobacter “breathe” by projecting tiny hair-like protein filaments called "nanowires" into the soil, to dispose of excess electrons resulting from the conversion of nutrients to energy, cleaning up radioactive sites. Although it is long known that Geobacter use…

Recent advances in electrophysiology and optical imaging technologies enable recordings in behaving animals from hundreds or even thousands of neurons simultaneously. Since neural coding, computation, and communication rely on coordinated activity patterns across large cell populations, such data facilitate the study of the global structure of…

The interior of cells contains numerous components that need to be carefully organized in space to fulfill a wide range of biological functions. The most widespread form of intracellular compartments completely lack membranes. In the place of membranes, these compartments—so called biomolecular condensates—are sustained and segregated in space…

Earth’s atmosphere provides a thin barrier to the severe conditions of space. Globally, terrestrial microorganisms from our planet’s surface move through and interact with the blanketing atmosphere, analogous to how marine microbes drift through vast oceans. Whereas a century of exploration has allowed oceanographers to characterize…

TBA

Nanofluidic devices, e.g. based on nanochannels or nanopores, are networks of fluid-filled structures on a chip with dimensions ~1-100 nm.  These dimensions are on order of molecular length scales, giving rise to the ability to directly analyze, manipulate and confine single biomolecules.  In this talk I will focus on two different…

Infectious disease-causing pathogens have plagued humanity since antiquity, and the COVID-19 pandemic has been a vivid reminder of this perpetual existential threat. Vaccination has saved more lives than any other medical procedure, and effective vaccines have helped control the COVID-19 pandemic. However, we do not have effective vaccines…

In the first part of my talk, I will focus on mechanisms that regulate interactions between brain regions and describe how state-dependent frontal cortex dynamics can gate information flow from the sensory cortex during decision-making in mice.

In the second part, I will focus on information flow within the frontal cortex…

The actomyosin cytoskeleton is a naturally occurring active gel found in virtually all mammalian cells. Its ability to contract allows cells to move, change shape, exert force, sense stiffness, and maintain constant tension. In order for the “hardware” of actomyosin gels to support such a diverse set of mechanical tasks, it is tightly coupled…

Volume or 3D electron microscopy EM continues to expand its potential for imaging ever larger biological entities. Images from diamond knife cut sections launched the field of volume EM. An alternative of imaging the sequentially cut block face offered easier use and registration. FIB-SEM or Focused Ion Beam Scanning Electron…

Cell migration is a critical process underlying proper tissue maintenance. While a soft nucleus allows a cell to squeeze through small pores, the resulting physical stress can lead to nuclear damage and genomic variability. We have shown that the cytoskeletal intermediate filament protein vimentin protects against DNA damage…

Aggregations are common in biological systems at a range of scales and may be driven by exogenous constraints such as environmental heterogeneity and resource availability or by “self-organizing” interactions among individuals. One mechanism leading to self-organized animal aggregations is captured by Hamilton’s “selfish herd” hypothesis, which…

Super-resolution optical microscopy has become a powerful tool to study the nanoscale spatial distribution of molecules of interest in biological cells, tissues and other structures over the last years. Imaging these distributions in the context of other molecules or the general structural context is, however, still challenging. I will present…

In this talk, we propose to decipher the activity of neural networks via a “multiply and conquer” approach. This approach considers limit networks made of infinitely many replicas with the same basic neural structure. The key point is that these so-called replica-mean-field networks are in fact simplified, tractable versions of neural networks…

To understand computation in the brain, one needs to understand the input-output relationships for neural circuits and the anatomical and functional properties of individual neurons therein. Optical microscopy has emerged as an ideal tool in this quest, as it is capable of recording the activity of…

Flies are among nature’s most agile flying creatures. This exquisite maneuverability is due in part to their possession of specialized mechanosensory organs known as the halteres. The halteres are evolved from the hindwings and provide flies with dynamic mechanosensory feedback on a wingstroke-to-wingstroke basis. Additionally, halteres are…

During early development gene expression patterns progressively emerge as cell fates are determined and the embryo takes form. The regulation of patterning occurs across a broad range of spatial and temporal scales. These scales range from the molecular scale dynamics of regulatory proteins binding to genomic loci to activate or repress…

The urgency to probe biological dynamics is impeded by a major challenge: the large dynamic range of biological processes—interactions of molecules within milliseconds can lead to changes across the whole-organism over days to years. It calls for measurements with both high spatiotemporal resolution and large-scale long-term coverage. However,…

Animal genomes are folded into loops and topologically associating domains (TADs) by CTCF and loop extruding cohesins. These loops and domains are thought to play critical roles in regulating gene expression by regulating long-range enhancer-promoter interactions. But whether CTCF/cohesin loops are stable or dynamic structures was…

In the event of metastatic disease, emergence of a lesion can occur at varying intervals from diagnosis and in some cases following successful treatment of the primary tumor.  Genetic factors that drive metastatic progression have been identified, such as those involved in cell adhesion, signaling, extravasation and metabolism. However,…

Nov 1, 2022, 9:00 am – Nov 2, 2022, 5:00 pm

Location

Joseph Henry Room - Jadwin Hall

Sponsor

CPBF and NSF

We are interested in how physics at the colloidal scale instantiate life in biological cells. While principles from physics have driven recent paradigm shifts in how collective biomolecular behaviors orchestrate life, many mechanistic aspects of e.g. transcription, translation, and condensation remain mysterious because…

My lab studies the brains of larval fruit flies as models of neural computation. We are interested in the rules by which the larval brain transforms sensory input into motor output to navigate an uncertain environment, how the larva’s brain changes these rules as it learns new information, and how these rules and changes are encoded in the…

Measurement of natural systems typically involves perturbation and interpretation. In this talk, I will discuss the implications of measurement in the context of RNA in gene expression in human cells. I will focus on measurements of RNA biology using high-throughput sequencing, which are powerful for their scale but also involve perturbations…

The adaptive immune system is able to learn from changing experiences to better fit an unforeseen future, thanks to a large and diverse collective of cells expressing unique antigen receptors and capable of rapid Darwinian evolution. However, naturally occurring immune responses exhibit limits in efficacy, speed and capacity to adapt to novel…

My lab studies the brains of larval fruit flies as models of neural computation. We are interested in the rules by which the larval brain transforms sensory input into motor output to navigate an uncertain environment, how the larva’s brain changes these rules as it learns new information, and how these rules and changes are encoded in the…

How does learning occur? Neural networks learn via optimization, where a loss function is minimized by a computer to achieve the desired result. But physical networks such as mechanical spring networks or flow networks have no central processor so they cannot minimize such a loss function. An alternative is to encode local rules into those…

The new field of stochastic thermodynamics allows us to analyze the thermodynamic behavior of dynamic systems arbitrarily far from thermal equilibrium, and has produced many powerful theorems concerning phenomena completely absent in traditional statistical physics. However, to date stochastic thermodynamics has (mostly) been applied to systems…

Mechanical stability and shape changes of cells are determined by the dynamic interplay of four distinct cytoskeletal networks, made of actin filaments, microtubules, intermediate filaments and septins. These four filamentous systems contribute different structural and dynamical properties, enabling specific cellular…

Liquid-liquid phase separation of cell membranes exemplifies a biological system leveraging a physical concept to achieve a chemical end. Here, we show that yeast actively tune the transition temperature of their vacuole membranes to be close to the yeast's growth temperature, which implies that the membrane's proximity to the miscibility…

Understanding the physics of living systems allows us to design new materials that are active and adaptive, akin to cells and tissues. Conversely, these active matter systems can reveal fundamental principles in physics and biology. In this talk, I will discuss three systems that feature this synergy, ranging from the molecular to the…

To understand computation in the brain, one needs to understand the input-output relationships for neural circuits and the anatomical and functional properties of individual neurons therein. Optical microscopy has emerged as an ideal tool in this quest, as it is capable of recording the activity of neurons distributed over millimeter dimensions…

After a century of biochemical and genetic onslaught on the embryo we are left with an inexhaustive parts list with an increasingly baroque logic. How do we begin to assemble complex living systems from knowledge of the parts list? In this talk I will attempt to pursue a statistical (physics) approach to discerning the design principles that…

Controlling interfacial structure and dynamics of phase separating fluid mixtures is key to creating diverse functional materials. Traditionally, this is accomplished by controlling interface chemistry, through the presence of surface-modifying amphiphilic agents. Using a phase separating mixture of active and passive fluids, we study how…

The most celebrated corners of machine learning over the past decades are those successful at predicting - e.g., spam classification, medical diagnoses, or cat faces. But machine learning as actually used in practice is commonly prescriptive rather than predictive: decisions must be made in order to maximize a reward. The…

Many innate behaviors are the result of multiple sensorimotor programs that are dynamically coordinated to produce higher-order behaviors such as courtship or architecture. Extended phenotypes such as architecture are especially useful for ethological study because the structure itself is a physical record of behavioral intent. A particularly…

Natural ecological communities display striking features, such as high biodiversity and a wide range of dynamics, that have been difficult to explain in a unified framework. Using experimental bacterial microcosms, we have performed the first direct test of recent theory predicting that simple aggregate parameters…

Photosynthesis presents a paradox of solar energy: the maximum quantum efficiency of photosystem II likely surpasses that of any engineered system, but in environments with high solar flux, photosynthetic organisms are famously wasteful and resource inefficient. For example, even in agricultural systems bred for maximum resource efficiency such…

Membrane curvature is required for many cellular processes, from assembly of highly curved trafficking vesicles to extension of needle-like filopodia. Consequently, defects in membrane curvature play a role in most human diseases, including altered recycling of receptors in cancer and diabetes, targeting of filopodia by pathogens, and hijacking…

We have recently discovered that there are biological proteins that phase separate out of solution to form protein-dense droplets. These so-called protein condensates have been identified in an extremely large range of important biological processes. Increasingly, we find that the exact material nature of the liquid-like condensates (such as…

Pattern formation is ubiquitous in biological systems. While pattern formations are often associated with Turing-like reaction-diffusion systems, biology also exploits many other mechanisms such as mechanical instabilities and phase separation. In this talk, I will discuss how mechanical instabilities cause the wrinkling of bacterial biofilms…

Gene expression in all organisms is controlled by short DNA and RNA sequences called cis-regulatory elements (CREs). Proteins in the cellular milieu bind to nucleic acid sequences present within CREs, interact with one another, and thus form macromolecular complexes that modulate the expression of nearby genes. My lab uses…

The rod-shaped bacterium Escherichia coli proliferates by a process of elongation, followed by constriction at its centre to create new cell poles. Despite intense study, some apparently simple questions about the dynamics of growth and division in E. coli continue to be debated - these include whether the cell length increases exponentially or…

Active materials such as bacteria, molecular motors and eukaryotic cells continuously transform chemical energy taken from their surroundings to mechanical work. Dense active matter shows mesoscale turbulence, the emergence of chaotic flow structures characterised by high vorticity and self-propelled topological defects. I shall describe the…

Living systems need to remember information about their environment in order to take decisions that ultimately ensure survival. But storing information about past experiences costs energy, while only a fraction of the vast amount of information available can be useful to the living system. An intelligent memory formation strategy should take…

Active processes in living systems create a novel class of non-equilibrium material composed of many interacting parts that individually consume energy and collectively generate motion or mechanical stress. In this talk, I will discuss experimental tools and conceptual frameworks we develop to uncover laws governing order, phase transitions and…

Perception, attention and working memory are fundamental cognitive functions, which are based on parallel processing in many brain areas. Neuronal oscillations at sub-second timescales and their phase correlations a.k.a. phase-synchronization are putative mechanisms for the coordination of neuronal processing and…

One of the characteristic features of many marine dinoflagellates is their bioluminescence, which lights up nighttime breaking waves or seawater sliced
by a ship’s prow. While the internal biochemistry of light production by these microorganisms is well established, the manner by which fluid shear or mechanical
forces trigger…

Morphogenesis, the emergence of functional form in a developing organism, is one of the most remarkable examples of pattern formation in nature. Despite substantial progress, we still do not understand the organizational principles underlying the convergence of this process, across scales, to form viable organisms under variable conditions. We…

Simple organisms manage to thrive in complex environments. Remembering information about the environment is key to take decisions. Physarum polycephalum excels as a giant unicellular eukaryote being even able to solve optimisation problems despite the lack of a nervous system. Here, we follow experimentally the organism's response to a nutrient…

An animal eye is only as efficient as the organism’s behavioral constraints demand it to be. Efficient coding has been a successful organizational principle in vision, and to make a more general theory, behavioral, mechanistic, and even evolutionary constraints need to be added to this framework. In our work, we use a mix of known computational…

Many mature bacterial colonies and biofilms are complex three-dimensional (3D) structures. A key step in their developmental program is a transition from a two-dimensional (2D) monolayer into a 3D architecture. Despite the importance of controlling the growth of microbial colonies and biofilms in a variety of medical and industrial settings,…

The metabolic function of microbial communities emerges through a complex hierarchy of genome-encoded processes, from gene expression to interactions between diverse taxa. Therefore, a central challenge for microbial ecology is deciphering how genomic structure determines metabolic function in communities. Here we show, for the process of…

Cells across the tree of life respond to a sudden, nonlethal rise in temperature--heat shock--in similar ways. Following heat shock, proteins and mRNAs form clumps, certain genes turn on, and protein synthesis and cell growth sharply decline. The standard interpretation of these long-studied phenomena has held that thermal energy causes…

When experimenting with a large pool of species, a common problem is to determine a priori whether a certain subset of species can coexist when co-cultured. We propose a simple statistical model in which a number of species assemblages are observed, and the coexistence of novel assemblages is predicted out-of-fit. We…

We have been working to measure and understand how ion fluxes and ionic interactions regulate fundamental biological processes, and in particular promote stress tolerance in bacteria. I will present our recent work that builds on our discovery of action potentials generated within bacterial biofilms. Specifically, we showed…

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Helmet non-invasive ventilation has emerged as a useful tool to provide respiratory support to…

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We review the dynamics of acute immunizing infections. We then use this as a backdrop to discuss the dynamics and control of the ongoing Coronavirus pandemic.

The study of small experimental communities has been key to the development of ecology as a discipline. Yet, for most ecological communities, the number of experiments required to build, model, or analyze the system vastly exceeds what is feasible, rendering these communities experimentally intractable. To address this challenge, we present a…

To understand computation in the brain, one needs to understand the input-output relationships for neural circuits and the anatomical and functional relationships of individual neurons therein. Optical microscopy has emerged as an ideal tool in this quest, as it is capable of recording the activity of neurons distributed over millimeter…

Cells across the tree of life respond to a sudden, nonlethal rise in temperature--heat shock--in similar ways. Following heat shock, proteins and mRNAs form clumps, certain genes turn on, and protein synthesis and cell growth sharply decline. The standard interpretation of these long-studied phenomena has held that thermal energy causes…

Our lab develops new imaging approaches for visualizing bacterial physiology in relevant contexts: We use live-cell single-molecule localization microscopy and lattice-light sheet microscopy to access 3D spatial and temporal information with high resolution. At molecular and cellular length scales, our research focuses on understanding how Gram…