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2019 -
Grant Awardees - Program Grants

Imaging sensory processing and memory storage in the octopus brain

NIELL Cristopher M. (USA)

Institute of Neuroscience - University of Oregon - Eugene - USA


Dept. of Neurobiology, Silberman Institute of Life Sciences - Hebrew University - Jerusalem - ISRAEL

Octopuses have highly complex brains and are capable of many advanced behaviors that involve cognitive abilities. However, their brains and nervous system evolved completely independently from those of vertebrates, and it is largely unknown how the brains of such seemingly “alien” animals perform vertebrate-like sensory and cognitive functions with this distinct brain organization. In this proposal, we will study how visual sensory information is processed and stored in the octopus memory system. In order to overcome the technical obstacles to achieve this, we will bring together two labs with complementary expertise. The Niell lab studies the visual system of mouse, using calcium imaging of neural activity to understand how cortical circuits perform the computations that underlying visual perception and behavior. The Hochner lab studies learning and memory in the octopus vertical lobe. They have used electrophysiological tools and behavior to show that the vertical lobe is organized in a simple fan-out fan-in architecture and demonstrates robust activity-dependent synaptic plasticity. However, these current experimental methods are not sufficient for understanding how learning and memory networks store sensory features that are likely represented sparsely in the activity of many individual neurons.

Together, we will implement two-photon calcium imaging techniques for the octopus brain, to directly observe how sensory information from the eye is processed and represented in the visual system as it is conveyed into the central brain. We will then measure how this information is stored in patterns of activity across the large population of small neurons in the memory centers of the octopus brain, within a learning paradigm. In other words, we will watch memories being formed from a visual input. We will also perform manipulations that will allow us to determine the role of synaptic mechanisms and neuromodulation that enable this storage and its modulation by reward and punishment signals. The result of this collaborative endeavor will be a comprehensive view of neural information processing, from sensory input to memory formation, in the unique and enigmatic brain of the octopus.

2019 -
Cross Disciplinary Fellowships - CDF

Structure and dynamics of intraflagellar transport systems


- MPI for Molecular Cell Biology and Genetics - Dresden - GERMANY

PIGINO Gaia (Host supervisor)

The quantum leap in achievable resolution using cryo electron tomography (cryo-ET) in recent years has led to a stunning advancement of the field of structural biology. The precise knowledge of the structure enables the inference of the function of whole protein complexes within large cellular machinery.
One example of such a large cellular machinery is the cilium. These elongated flexible organelles extend from the cell body of most eukaryotic cells and serve a stunning plethora of functions within the cell, from actuation, mechanosensing to signaling.
Defects of these organelles are at the root of a whole class of devastating diseases, known as Ciliopathies, including Karthagener Syndrome, certain kidney diseases or retinitis pigmentosa.
The assembly and maintenance of the cilium requires constant transport of ciliary building blocks. As there is no protein synthesis in the cilium all these components need to be transported from the cell body to the tip of the cilium. As diffusive transport in this extremely high aspect ratio, crowded and confined structure is limited, mass transport along the cilium relies on active transport, known as intraflagellar transport (IFT). Despite the fact that the genetics and biochemistry of IFT have been extensively studied, the molecular mechanisms of assembly, cargo association, dissociation and anterograde-retrograde conversion at the tip of the cilium are largely unknown.
We aim to decipher the complex inner workings of IFT machinery with a combination of correlated cryo-EM, light microscopy and high-speed atomic force microscopy. Together, the three microscopy techniques span the whole spectrum from resolution dynamic function.

2019 -
Long-Term Fellowships - LTF

A lizards' tail: the genomics of island adaption


Centre for GeoGenetics - University of Copenhagen - Copenhagen - DENMARK

ALLENTOFT Morten (Host supervisor)

Islands present great natural laboratories, and are considered as “simpler” habitats. Due to their relatively low numbers of species and limited areas, we can study evolutionary hypotheses in a somewhat controlled framework. Studying adaptation and speciation process in island species helps us understand how species adapt to novel environments. Island trait evolution has been studied at local and macroecological scales, yet the genetic basis for this variation is less understood. Combining phenotypic study with cutting-edge genomic analyses would enable shed light on the fundamental mechanisms driving evolution. A long-term evolutionary study on the Italian wall lizard (Podarcis siculus), on the islands of Pod Kopiste and Pod Mrcaru gives us a great opportunity to explore the role of genetic variation in species adaptation. Historical introduction of this lizard to Pod Mrcaru has resulted in rapid morphological changes, notably divergent from the origin population on Pod Kopista. This experimental framework is excellent for identifying the genetic components responsible for the witnessed morphological adaptations. I will contrast genomic samples of P. siculus from the two islands and then compare them to samples from the mainland. I will apply Next Generation Sequencing (NGS) technology to sequence whole-genomes of the lizard populations, and use it for genome-wide association study (GWAS) to identify the regions correlated with the morphological adaptation. I will use bioinformatical methods to characterize the genome participation in the adaptation process. This novel approach to studying island adaptation provides a baseline for more genomic island evolution studies.

2019 -
Long-Term Fellowships - LTF

Neuronal circuit mechanisms mediating the interplay between action selection and internal states


Department of Neurobiology - FMI Basel - Basel - SWITZERLAND

LÜTHI Andreas (Host supervisor)

A large part of an animal’s behaviour involves responding appropriately to stimuli in the environment. However, responses are highly dependent on internal states (a slight mishap on a good day can be a catastrophe on a bad day). This means that neuronal computations for action selection take environmental stimuli as inputs, as well as an animal’s homeostatic and affective internal states. Furthermore, it is clear that action selection also has an effect on the internal state of an animal: feeding leads to satiety, or finding shelter can reduce anxiety. I seek to understand how neuronal activity mediates the bidirectional interplay between action selection and internal state.

To this end, I propose to combine the quantification of home-cage behaviors in freely-moving mice together with deep brain calcium imaging to investigate the neuronal dynamics underlying state-dependent action selection. I will focus on the central amygdala, given its privileged position as a highly interconnected node in a network that integrates external and interoceptive stimuli, and that orchestrates motor and physiological responses.

2019 -
Cross Disciplinary Fellowships - CDF

Identifying cell-cell interaction principles that shape spatiotemporal biofilm development


- Max Planck Institute for Terrestrial Microbiology - Marburg - GERMANY

DRESCHER Knut (Host supervisor)

In their natural environment and during infections, bacteria are commonly organized in surface-attached communities termed biofilms, which are held together by a self-produced extracellular matrix. These biofilms can develop from single cells into macroscopic three-dimensional communities with characteristic morphology and cellular differentiation, reminiscent of eukaryotic multicellular development. Recently, single-cell level live-imaging of complete biofilm development has become possible, which now permits the experimental testing of detailed simulation predictions for biofilm development, and places the grand challenge of a quantitative and predictive understanding of biofilm development within reach. The key ingredients of the required simulations are the cell-cell interaction mechanisms and behavioral states of cells, yet both are generally unknown. To overcome this barrier, I will develop techniques for spatiotemporal transcriptome data generation and analysis during Vibrio cholerae biofilm development, which will allow me to obtain spatiotemporal maps of cellular interaction mechanisms and cellular states. These spatiotemporal maps will then be used as input for individual-based simulations I will develop, to identify which of the vast possibilities of cellular interactions and properties are necessary and sufficient for biofilm development. This interplay of experiments and simulations based on spatiotemporal transcriptome data and single-cell microscopy will ultimately not only identify the key cellular interaction mechanisms, but also the cellular interaction principles that are required irrespective of the underlying molecular mechanisms.

2019 -
Long-Term Fellowships - LTF

Revealing the neural underpinning of learning and decision-making with recurrent neural networks


Center for Brain Science - RIKEN - Saitama - JAPAN

BENUCCI Andrea (Host supervisor)

The act of making a decision is a complex cognitive process, where the brain integrates new information with an internal representation of the world to select an anticipated outcome among several choices; usually based on reward expectations. During decision-making several cortical and subcortical specialized networks within the cortico-striatal-thalamic loop route and integrate information to produce a choice. But how do our brains learn to make decisions in a novel environment? How do these networks evolve based on reward expectations and decision-making outcomes? It is still unclear how signals that encode reward expectations are routed through specialized networks, and whether these networks can directly influence each other through what is known as transfer learning. Here, under the supervision of Dr. A. Benucci, I propose an integrative theoretical-modeling approach, based on Recurrent Neural Networks (RNN), in close-loop with experimental work at the host lab, to reveal the neural underpinning of learning and decision-making in specialized networks within the cortico-striatal-thalamic loop. We will implement biologically-feasible RNN, directly trained using large-scale population dynamics experimental data from mice performing vision-based decision-making tasks. By reverse engineering the RNN computations we will implement causal, experimentally dynamical predictions, testable via optogenetic perturbative experiments, to reveal the neural basis of learning and decision-making. Only by considering the collective orchestration and interaction of these circuits will it be possible to highlight how the brain learns to make decisions.

2019 -
Long-Term Fellowships - LTF

Dissection of transmembrane ion-channel dynamics by proton detected solid state NMR


Department of Molecular Biophysics - Leibniz-Forschungsinstitut für Molekulare Pharmakologie - Berlin - GERMANY

LANGE Adam (Host supervisor)

Ion channels are important for all living organisms due their involvement in several essential processes such as synaptic transmission, muscle contraction and cell signalling. Better understanding of how ion-channels function will aid in the development of new drugs against pathologies related to those processes. Ion-channels are embedded into to the cell membrane, making them difficult to study using conventional structural biology approaches. Solid state NMR offers the possibility to investigate membrane proteins in a native-like environment under physiological buffer conditions and at room temperature. NaK is a bacterial non-selective ion-channel that conducts both sodium and potassium ions. Due to its similarity to human cyclic nucleotide-gated ion channels, NaK has become an important model system for non-selective ion channels. We will use proton detected solid state NMR to investigate the mechanisms of non-selectivity, gating and ion permeation in NaK. Better understanding of the dynamics involved in these processes is essential to understand how non-selective ion-channels function. Gating is expected to depend on protein-membrane interactions, but the mechanism is unknown. There are currently different models for how ions permeate through the selectivity filter. Solid state NMR can detect very subtle changes in local environments which will allow us to characterize the ion permeation process and investigate how lipids in the membrane and water molecules interact with the protein.

2019 -
Long-Term Fellowships - LTF

Encoding and retrieving positional identity during limb homeostasis and regeneration


Research Institute of Molecular Pathology - Vienna Biocenter - Vienna - AUSTRIA

TANAKA Elly M. (Host supervisor)

A major goal of regenerative research is to restore human tissues, such as limbs, following injury. Salamanders, including the axolotl (Ambystoma mexicanum), are the only tetrapods able to regenerate fully patterned limbs. Amputation induces fibroblasts to migrate from the stump to the wound site, where they de-differentiate, form a morphologically unpatterned blastema, proliferate and eventually regenerate a patterned limb. The mechanisms enabling pattern restoration are not clear.

Grafting experiments have shown that fibroblasts in anterior, posterior, dorsal and ventral parts of the steady state axolotl limb exhibit different properties, which are maintained even after transplantation. This indicates that fibroblasts harbour stable positional identities (knowledge of location in the body). However, the purpose of these identities and underlying mechanisms are not known. I hypothesise that positional identities are determination states that instruct fibroblasts on where, and when, they should express patterning genes after amputation. This would enable correct pattern restoration during regeneration.

This proposal addresses the transcriptional and epigenetic bases for positional identity. I will test the role of positional identity in limb regeneration using CRISPR/Cas9-mediated transgenesis. I will establish new genetic tools to manipulate positionally distinct fibroblasts, and test their contributions to regeneration. In sum, this work will shed light on how new pattern is formed from existing pattern during regeneration. As human fibroblasts also harbour positional identity, this work may provide insights into re-patterning potential in human cells.

2019 -
Long-Term Fellowships - LTF

Mechanical regulation of epithelial cell turnover by Piezo1: proliferation, migration and death


Randall Centre for Cell and Molecular Biophysics - King's College London - London - UK

ROSENBLATT Jody (Host supervisor)

Cancers arise in cell types that turnover by proliferation and death at highest rates, likely because these rates become unbalanced. Our group found that mechanical forces control both processes in epithelia: stretch activates proliferation whereas crowding activates cell extrusion and death. However, it was unclear what causes crowding and stretching forces in epithelia. I will investigate if cell migration from sites of proliferation drives the conveyor belt forces that control stretch-induced cell division and crowding-induced death. If so, the rate of cell migration could drive the rate of cell turnover and, hence, the propensity for a tissue to become cancerous. While my host lab has already identified roles for the stretch-activated ion channel Piezo1 in controlling proliferation and extrusion, based on preliminary compelling findings, I will determine if it also controls cell migration from sites of division. To do so, I will use established models in cell culture and mouse gut and develop an in vivo zebrafish gut model for homeostatic epithelial cell turnover. Additionally, I will test if frequent Piezo1 mutations in colon cancer impact cell proliferation, migration, and death. If my hypothesis is correct, I will reveal a new, unexpected role for cell migration in not only normal epithelial cell turnover but also in carcinogenesis. Should Piezo1 act as a central transducer of mechano-chemical coupling, it could provide a new target for therapeutics.

2019 -
Grant Awardees - Young Investigator Grants

The dynamics of information flow in a social network of mutually shading plants


Dept. of Computer Science - University of Colorado Boulder - Boulder - USA


School of Plant Science and Food Security - Tel Aviv University - Tel Aviv - ISRAEL


Dept. of Collective Behaviour - Max Planck Institute for Ornithology - Konstanz - GERMANY

Social interactions between individuals lead to emergent collective behavior, whereby locally acquired information yields decentralized collective decisions, implying a flow of information within a social network. However, since social interactions are generally not directly accessible, and network structure changes according to different social and ecological contexts, this flow is difficult to observe and little is known about the principles governing its dynamics. We hypothesize that network structure shapes the dynamics of information flow and its characteristics, which can adapt according to the social context. Based on this concept, we suggest a novel and experimentally tractable system of self-organized crowded plants interacting via mutual shading while competing for light. This system is amenable to a social network analysis where nodes, representing individual plants, are connected via edges representing unidirectional and deleterious shading interactions which can be observed. The flow of information is represented by cascades of growth-driven morphological changes in neighboring plants as a response to shading manipulations, where the kinematics of individual responses to shade are described mathematically. We aim to uncover the dependence of information flow on network structure by considering mathematical properties of observed flow dynamics resulting from perturbations of the network structure, and interpret these results in terms of ecological and selective consequences. Capitalizing on the advantages of this unorthodox model system, we will tackle this goal through the following complementary and interdisciplinary lines of investigations: (i) run experiments on the system of mutually shading plants, designed to probe the dynamics of information flow; (ii) analyze experimental data in terms of social networks, (iii) combine simulations and experiments to analyze mathematical properties of observed flow dynamics as a function of network structure. These steps will allow us to interpret ecological aspects of social networks in terms of efficiency of information flow and network structure. This work will impact the fields of social ecology, plant science, and collective behavior, providing a quantitative understanding of dynamics of social information as never done before, and suggesting solutions for the optimization of agricultural crop stands.

2019 -
Long-Term Fellowships - LTF

Identification of zygotic genome activation regulators through thermal proteome profiling


Genome Biology Unit - EMBL, Heidelberg - Heidelberg - GERMANY

FURLONG Eileen E. (Host supervisor)

How our genomes are activated during the early stages of embryonic development has been a long-standing unsolved mystery for decades. Zygotic genome activation (ZGA) has been the focus of extensive studies, however, no clear understanding of the overall regulatory mechanism has been achieved.
This is mostly due to the maternal deposition of inactive regulatory proteins in the egg, and on the lack of a technique able to distinguish active from inactive proteins. Thermal profile proteomics (TPP) is a recently developed technique that addresses this need, using heat to build a denaturation – or melting – profile of a protein, and mass spectrometry detection to expand the throughput proteome-wide. Changes in the biochemical status of proteins – such as association into complexes or post-translational modifications – change protein resistance to denaturation, inducing a shift in the melting profile. In vivo TPP will identify proteins whose melting profile shifts upon ZGA, qualifying them as potential regulators. This will also provide a technological advancement to TPP, paving the way for applications that will greatly benefit from in vivo settings, such as drug screening.
Candidate ZGA regulators will then be functionally validated through the generation of germline-specific mutants, lacking both maternal and zygotic expression of the candidate proteins. The effect on ZGA will be tested by GRO-seq to identify nascent transcripts, by ChIPseq for RNA polymerase II to distinguish the effect on recruitment and activity of the transcription machinery, and by ATAC-seq to identify difference in chromatin accessibility and pioneering activity of the protein in study.

2019 -
Grant Awardees - Program Grants

A spatiotemporal map of signalling processes controlling human stem cell renewal and differentiation


Institute of Cell Biology - University of Bern - Bern - SWITZERLAND

CARAZO SALAS Rafael Edgardo (UK)

School of Cellular and Molecular Medicine - University of Bristol - Bristol - UK

COHEN Andrew (USA)

Dept. of Electrical & Computer Engineering - Drexel University - Philadelphia - USA

The Personalized, Regenerative Medicine of the future will rely on being able to make replacement cells and tissues of choice at will and in a robust, predictive manner. However, key challenges have to be overcome before the promise of personalized stem cell therapeutics becomes a reality. This is because stem cell renewal/differentiation are stochastic processes, precluding the differentiation of a stem cell population into a homogeneously differentiated desired cell type, but also leading to spurious differentiation during renewal. This is thought to partly arise from heterogeneous single-cell signaling states among different cells of a population, which are not measurable using classical ‘population-average’ biochemical methods. A mechanistic understanding of how dynamic signaling processes control differentiation/renewal fates at the single-cell level might therefore significantly improve our capacity to robustly and precisely manipulate cell fates for tissue engineering purposes. We propose to use an integrated interdisciplinary strategy to map the dynamic, single-cell signaling programs that control differentiation/renewal using human Pluripotent Stem Cell (hPSC) differentiation into neural stem cells as a differentiation paradigm. Using multiplexed, genetically-encoded biosensors, we will quantitate hPSC single-cell dynamic signaling states by large-scale, multi-color, multi-day timelapse microscopy across millions of cells, to reveal with unparalleled precision how heterogeneous signaling states correlate with renewal/differentiation fates. Using computer vision approaches, we will automatically segment, track and lineage at scale each of the cells that were induced to self-renew or differentiate, and we will extract a panel of signaling, cell-cycle, pluripotency state, and cell morphodynamics features that quantify these dynamic processes. We will then mine these high-dimensional feature sets to build computational models that identify dynamic single-cell signaling patterns associated with robust fate transitions and predict actionable interventions that might cause those transitions. Lastly, using drug perturbations, and/or microfluidic/optogenetic actuators, we will quantitatively test those predictions by evoking synthetic dynamic signaling states that induce robust fate transitions. Our approach will help to significantly clarify the mechanistic basis of signaling-mediated human stem cell fate decisions, providing new avenues to robustly control stem cell fate. This might help establish a larger framework, broadly applicable to other hPSC lines and differentiation routes.

2019 -
Long-Term Fellowships - LTF

Decoding the rules of root system plasticity


Plant Biology - Salk Institute for Biological Studies - La Jolla - USA

BUSCH Wolfgang (Host supervisor)

Plants tightly adapt their architecture to the environment. However, they also have to balance energy and resource expenses for plastic growth with those required for other processes that are also relevant for fitness. Even though plasticity has been extensively studied, how organ function interplays with its plasticity remains an important question to elucidate. The root system is plastic since it produces multiple architectures from a single genotype, depending on environmental conditions. However, the resulting architecture must act as an efficient transport network to achieve its function. Root growth and transport are costly and concurrently decrease the transport performance, thus root system architecture (RSA) must integrate these two competing objectives: cost and performance. Recently, the shoot system architecture has been shown to resolve this tension by finding an optimize tradeoff between cost and performance. Here, I challenge the idea that RSA plasticity relies on this design principal. To this end, I will set up a multi-disciplinary approach that integrates, phenomics, modeling, genetics, cellular and molecular biology. I will build a comprehensive phenotypic dataset of RSA for more than 300 Arabidopsis thaliana ecotypes grown in 10 different nutrient conditions. Using modeling, I will analyze the optimal cost-performance tradeoff according to the RSA and based on these data, I will perform GWAS to identify cost-performance and plasticity-related variants and genes to decipher how cost-performance tradeoff relates to plasticity. Taken together, this project will decipher the developmental and molecular framework which control the root system plasticity.

2019 -
Long-Term Fellowships - LTF

Tumors within context - understanding early breast cancer progression using spatial genomics


Department of Biology and Biological Engineering - Caltech - Pasadena - USA

CAI Long (Host supervisor)

Breast cancer is one of the most common cancers worldwide. It is also one of the most heterogenous ones, both in the genetic background of susceptible individuals as well as between the developing tumors. While studied extensively, molecular mechanisms leading to breast cancer progression and the interplay between the immune and cancer cells remain elusive. While Immunotherapy protocols revolutionized cancer treatment, those are still lacking in breast cancer. Thus, there is a need understand early events leading to breast cancer progression and illuminate the curtail cancer-immune interactions during this process. I will use seqFISH methodology developed in the lab of Dr. Cai, which allows investigation of hundreds of mRNA transcripts on single cells within intact tissues. I will combine seqFISH with multiplex antibody staining, to study changes in transcription and in protein expression and localization. I will use this approach to study cancerous and benign biopsies, as well as serial breast aspirates extracted from patients at high risk to develop cancer. These samples will provide comparison between individuals as well as within the same individual over time. This methodology will allow me to (1) gain a comprehensive spatial characterization of the tumors at different stages and identify networks of interacting cells; (2) identify changes in the composition of the tissue which predict aggressive cancer progression and (3) illuminate important cancer-immune interactions. These measurements will provide valuable insight on signaling events and cellular populations predicting breast cancer progression and reveal the functional role of immune cells within breast tumors.

2019 -
Long-Term Fellowships - LTF

Cellular crowd dynamics and control in lymphoid organs


Department of Physiology - McGill University - Montréal - CANADA

MANDL Judith (Host supervisor)

Robust T cell migration is essential in their search for foreign antigen within lymphoid organs. Importantly, the movement of rare antigen-specific T cells occurs in an environment densely packed with other T cells. Moreover, lymphoid tissue is under constant flux, with large numbers of T cells both entering and leaving at any given time. From studies of human crowd behavior, we know that the movement of elements in crowds can give rise to unpredictable behaviors affecting both the dynamics of individual elements, as well as population level phenomena (e.g. leading to dangerous crushes at exits). Static images of lymphoid tissue display T cells jammed together with no apparent room to maneuver, yet microscopy studies of T cell trafficking have largely followed only individual labelled cells - giving the impression that they roam freely in space. Here, we will investigate how T cell crowding alters their motility and direction choice in order to begin to understand how specific defects in T cell migration may alter their function in unexpected ways. We will use specifically designed microfabricated channels mimicking key aspects of lymphoid structures, imposing bottlenecks or barriers, to compare individual T cell direction choice and velocity with that of cells embedded in a crowd. Overall, we will bridge a fundamental knowledge gap in our understanding of how T cells operate effectively in vivo without impeding each other, and establish critical tools to investigate T cell-intrinsic and extrinsic structural features of lymphoid tissue which facilitate the flow of T cell crowds.

2019 -
Long-Term Fellowships - LTF

Computational de novo design of translational motor proteins


Institute for Protein Design - University of Washington - Seattle - USA

BAKER David (Host supervisor)

Biological molecular machines such as rotational or translational motor proteins are intriguing systems that can interconvert mechanical and chemical energy. The translational motors myosin, kinesin, and dynein have been studied extensively and in great detail. However, fundamental principles are difficult to derive due to the complexity and diversity of these systems. I propose to re-engineer cytoskeletal translational motors from de novo designed proteins to achieve a better understanding of the principles behind directed motion in natural systems. De novo designed filaments will serve as tracks, and the motors will be constructed based on a minimal model for directed movement that involves a conformational equilibrium and a binding equilibrium that are connected via a fuelling reaction.
While the Rosetta software has enabled the de novo design of a variety of stable rigid proteins, designing dynamic proteins that can switch between multiple conformations remains challenging. I will combine existing multistate-design approaches with repetitive positioning of hydrogen-bond networks to design proteins that can switch between multiple well-defined, rigid conformations. To enable motor binding to the track, I plan to screen previously designed as well as novel heterodimers for increased solubility and reduced promiscuity of the corresponding monomers. I will use a fueling reaction that is coupled to both conformational switching and track binding to construct first a monomeric, nonprocessive motor and then a dimeric, processive motor. The proposed project will shed light on the fundamental mechanisms of motor proteins and advance computational design of dynamic proteins.

2019 -
Long-Term Fellowships - LTF

Investigating the roles of dormant telomeric origins in response to replication stress


Molecular and Cell Biology Laboratory - Salk Institute for Biological Studies - La Jolla - USA

KARLSEDER Jan (Host supervisor)

Accurate telomere replication is essential for genome maintenance and cell proliferative potential. However, telomere structure challenges the progression of replication forks, increasing the chance of fork stalling within the telomere. Previous work has focused on understanding how Shelterin promotes recruitment of enzymatic activities to telomeres that prevent replication stress by dissolving secondary structures. However, little is known about how cells respond to replication stress within the telomere once it has already been generated and replication forks have irreversibly stalled. I propose that dormant telomeric origins are essential for ensuring telomere maintenance upon induction of replication stress, by rescuing telomere replication in the vicinity of collapsed replication forks. To directly address the problem, I will first develop experimental approaches to specifically inhibit activation of telomeric origins in different cells lines. I will then characterize these cells and their telomere phenotypes and compare their behavior in unchallenged and replication stress induced conditions. If my hypothesis is correct, I would observe defects in cell proliferative potential and telomere dysfunction phenotypes upon induction of replication stress when telomeric origins are compromised. Since cancer cells are known to experience high levels of replication stress, tumor cells might depend more on dormant telomeric origins for telomere maintenance and survival. I will therefore study the effect of inhibiting telomeric origins on cell proliferation in cancer cells and test potential synergistic effects with replication stress inducing drugs.

2019 -
Long-Term Fellowships - LTF

Vesicle trafficking: from archaea to eukaryotes


MRC Laboratory for Molecular Cell Biology - University College London - London - UK

BAUM Buzz (Host supervisor)

Phylogenomic data suggests that eukaryotes arose from the symbiosis of an archaeal cell with a bacterial partner. However, this does little to explain the origins of eukaryotic cell organization, since the closest living relatives of these two partners that can be studied at the cellular level (TACK family archaea and alpha-proteobacteria) lack internal membranes. Still, TACK archaea generate exosomes, whose scission is thought to depend on ESCRTIII, as it does in eukaryotes. Thus, there appear to be striking parallels between archaeal and eukaryote trafficking, which I aim to explore during my postdoctoral fellowship. I will aim to answer the following questions: How exactly are archaeal exosomes formed and shed? How is this regulated in space and time? How does cytoplasmic and membrane cargo loading occur? In the proposed project, we will use Sulfolobus acidodaldarius to study membrane trafficking in archaea. To investigate cargo loading we will initially use Sulfolobicin as a model cargo. We will also investigate the functions of proteins found in isolated Sulfolobus exosomes with structural similarities with eukaryotic proteins involved in cargo loading (e.g. flotilins) as well as ESCRTIII proteins homologues (CdvB1, CdvB2 and CdvB3). We will follow cargo loading and vesicle formation by immunofluorescence, live cell microscopy (using a special microscope), electron microscopy and CryoEM, to observe protein complexes formed at the neck of vesicles. This work will not only help to elucidate the cell biology of archaea, but could also have a wider impact across biology by shedding light on mechanisms and evolutionary origins of key aspects of eukaryotic cell biology.

2019 -
Grant Awardees - Young Investigator Grants

Creating a symphony from noise: stochastic and coordinated regulation of stem cells in embryogenesis


Laboratory for synthetic embryology - MERLN institute for technology-driven regenerative medicine, Maastricht University - Maastricht - NETHERLANDS

SINGH Shantanu (INDIA)

Imaging Platform - Broad Institute of MIT and Harvard - Cambridge - USA


Dept. of Nonequilibrium physics of living matter - RIKEN Center for Biosystems Dynamics Research - Kobe - JAPAN

Embryos develop precisely at the multicellular level. Yet, stochasticity at the single cell level generates local variability in behaviors (e.g. in cell division, cell positioning, and gene expression). How is this apparent contradiction resolved? Do embryos compensate or possibly exploit local variability to adjust or correct patterns?
In mammalian embryos, the first developmental axis forms in the blastocyst when the outer trophoblasts (the future placenta) form a globe with an axis of proliferation/differentiation originating from the cluster of inner embryonic cells (the future embryo).
Here, we will investigate the principles underlying axis formation through a unique combination of stem cell-based embryology, quantitative imaging of the phenome of trophoblasts, and computational and statistical modeling. Using a novel blastocyst model formed solely with stem cells (Nicolas Rivron, The Netherlands), we will tune the embryonic signals and richly quantify the impact on trophoblast phenotypes, and their variability and precision in space (Shantanu Singh, USA), to model cells’ coordination during axis formation (Kyogo Kawaguchi, Japan).
This unique synergy will reveal how individual stem cells resolve the contrasting forces of single cell variability and multicellular guidance (e.g. embryonic inductions, neighbor coupling), to adjust and achieve a level of precision during the generation of an axis.

2019 -
Career Development Awards

Chasing entelechy: cell interactions and collective behaviours underlying organ growth regulation


Australian Regenerative Medicine Institute - Monash University - Clayton - AUSTRALIA

How do organs attain and maintain their size and complexity during development, repair and regeneration? This question is one of the last biological frontiers, and thus most of the basic mechanisms involved are yet to be elucidated. I started to address this topic during my postdoctoral studies. I uncovered that cells use both internal and external information to coordinate aspects of this process, but the molecules involved remain mostly unknown. The goal of this proposal is to identify and characterise the mechanisms involved in cell communication within and between tissues during the regulation of organ growth. I hypothesise that the compensation of developmental insults is a whole-organ response that emerges from the local interaction between injured and spared cells, within the overall control from the surrounding tissues. To test this, my lab will study catch-up growth: the recovery of normal growth after a transient perturbation during development. The long bones are especially amenable to explore this response, which we will study in transgenic mouse and quail models where developmental insults can be transiently triggered with very precise control of space and time. For the analysis, we will focus on the cell interactions and molecules involved, both within the growing bone and between the bone and other tissues.
In summary, part of the difficulty of studying organ growth is that extrinsic and intrinsic mechanisms may have opposite effects. By dissecting how the internal and external regulators of organ growth operate and interact, the outlined experiments will provide a new framework to studying and eventually understanding this centuries-old biological question