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American Society for Cell Biology

Returning in person in 2022—this mid-sized unique joint meeting of the American Society for Cell Biology (ASCB) and the European Molecular Biology Organisation (EMBO) focuses on cell biology as the fundamental basis of biology, while also offering sessions on emerging interdisciplinary topics. Besides offering attendees opportunities to present their research, the meeting provides an unparalleled forum for attendees to network and initiate collaborations across disciplines. Cell Bio 2022 offers eight different tracks—seven scientific and one covering educational, professional development, diversity, and inclusion.

Abstract Talk Deadline: August 2, 2022

Early Registration Deadline: September 30, 2022

Final Abstract Deadline (Poster only): October 12, 2022

ASCB Events Team;     Tel.: [301-347-9300];     Email: ascbinfo@ascb.org

Cell Biology, Immunology, Molecular Biology, Developmental Biology, Molecular and Cell Bio, Genetics, Biophysics, Biochemistry, Genetics, Molecular Genetics, Cancer Biology, Stem Cell Biology, Neurobiology, Stem Cell Biology, Bioengineering, Mechanobiology, Synthetic Biology, Systems Biology, Quantitative Biology

Molekularbiologie,    Genetik und Erbkrankheiten

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The goal of this workshop is to bring microbiologists, evolutionary biologists and applied mathematicians together to discuss recent experimental discoveries in microbial genetics and evolution. Our aim is to develop new mathematical approaches and predictive models that account for the complexity and diversity of microbial evolution. Overall, a deeper understanding of the ever-changing microbial populations within and around us will be critical in responding to novel pathogens and changing environments.

As an interdisciplinary field of study, research that aims to understand multiscale cellular processes is characterized by a diversity of approaches: theory, models, and biological experiments. This range of disciplines and approaches often employ different techniques, perspectives, and “languages” to describe similar ideas, which can be confusing even for seasoned experts. As such, trainees studying multiscale cellular processes must understand diverse perspectives and learn to communicate outside of their own expertise. At this GRS, trainees will have the opportunity to present and learn from their peers who are learning to navigate this rapidly-changing field and will shape its future. The GRS centers discussion and engagement among trainees to foster conversation and collaboration.

Multiscale Processes of Cellular Organization

Biologie,    Biophysik

At the most fundamental level, physical and chemical laws govern the operations of a living cell. For example, the energetics of a biochemical reaction obey the law of thermodynamics, and the kinetics the law of mass action. At the functional level, however, when, where and at what rate a biomolecule executes its function through its binding to a partner or enzymatic catalysis is stochastic, and can only be described in probabilistic instead of deterministic terms. At this level, the integration between experiments and theories becomes extremely important, because new theories need to be developed to explain stochastic experimental observations and guide further experimental explorations, and experiments need to be conducted to test theoretical predications and establish biological significance.

Bridging Stochastic Physical Theories with Biological Experiments

Biologie,    Biophysik

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

In this workshop, we will discuss the current state of computational modelling in cancer biology and treatment. Through the exploration of in silico trials and ABMs, workshop participants will establish new, cutting-edge approaches in computational oncology, establishing new paradigms for understanding how cancer develops and how we can improve treatment outcomes in patients.

In this Gordon Research Seminar, we will focus on emerging systems biology technologies and their integration with metabolomics for the study of human health and disease. We will discuss and examine recent advancements in the field and their impact on disease mechanisms, heterogeneity, and progression and their impact on precision medicine. We will further cover critical challenges and future perspectives as well as the development of new tools and technologies. As is the goal and philosophy of GRS, we will highlight work from young scientists and emerging experts and nurture the emergence of a vibrant community that will enable future advancement in this exciting and quickly developing field. We invite early career members from academia, industry, and regulatory agencies to attend this meeting.

Systems Biology and Integrative Omics for Precision Medicine

Metabolomics is the comprehensive study of the metabolome, the repertoire of metabolites present in cells, tissues, and body fluids. More recently, these metabolites are being implicated in the promotion of human health. The human metabolic profile is influenced by a number of factors including diet, genetics, environmental factors and the microbiome. Understanding the influence of these factors at a cellular and systemic level is key to deciphering the role of metabolites in human health and promotion of lifespan.In this Gordon Conference series, we highlight state of the art metabolomics technologies and how such technologies can be used to study Human health. The conference will cover exciting new applications in the field such as Precision Nutrition, Human Ageing, response to Therapies (Precision Medicine), Exposome and Human Health.

Examining the Intersection Between Systemic and Cellular Metabolism and Lifestyle Factors to Understand Health and Disease

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

CIRM – Centre International de Rencontres Mathématiques

Casa Matemática Oaxaca (CMO)

This workshop will focus on developing novel statistical methodology to analyze brain signals, which is crucial to understanding normal brain function and alterations associated with neurological and mental diseases. Brain signals are complex and are a reflection of the complexity of the unobserved brain processes. Thus, the primary considerations for developing statistical models are flexibility, generalizability, and incorporation of known biology. In this workshop, we will discuss the most recent challenges in this area and how the current methods need to be improved to better describe the observed brain signals.

Casa Matemática Oaxaca (CMO)

With the advances of high-throughput technologies, genomics and related fields are hitting the thick data era. Many problems in biology cannot be studied with traditional and exact methods, and the development and application of tailored methods to analyze rich and large-scale biological datasets are still lagging behind. In addition, diverse layers of knowledge in genomics, such as transcriptomics, epigenomics, proteomics and metabolomics need to be integrated and studied jointly with multi-omics approaches to unfold the complex mechanisms of biological systems and organisms. Sparked with creative solutions from data science, computational and data scientists can contribute to the development and implementation of innovative solutions to extract, wrangle, visualize, analyze and store complex data resulting from high-throughput technologies with efficient, transparent and reproducible analytical pipelines.

Statistik, Spieltheorie ,    Wissenschaftliches Rechnen und Datenwissenschaft

European Molecular Biology Organization – EMBO

Molekularbiologie,    Genomforschung und Bioinformatik

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Present day biology generates a wealth of data from which tumor biology and tumor evolution can be inferred, and therapeutic strategies can be developed. Most clinical (and research) samples are comprised of a mixture of different cells, including multiple different populations of cancer cells (‘subclones’) and a variety of normal cell types. Effective use of these data thus requires data from individual cell types to be deconvolved. A number of subfields are independently developing mathematical and statistical deconvolution techniques. While at first glance these subfields are largely disparate, there are clear opportunities for synergies to be developed. This workshop will fill this gap by bringing together researchers from several of these fragmented subfields across a wide range of backgrounds (computational biology, mathematics, statistics, computer science, biomedicine, etc.) to provide a synergistic forum for cross-disciplinary learning, discussion and collaboration.

European Molecular Biology Organization – EMBO

After recent advances in the field of molecular biology and genetics accompanied by the breathtaking progress in multi-omic strategies, have led to the development of Systems Biology in the last 5 years. Holistic approaches enable a refined approach to study the dynamic interactions between the components of the nucleus, the cell and its environment, ultimately leading to understanding the biological networks and the properties of biological systems. Recent advances, such as reaching the unprecedented resolution of individual cells combined with the use of new systems biology approaches, allow to address long standing questions, especially in the fields of disease and development. Thus, this EMBO Workshop will bring together world-class experts and young scientists in the fields of Systems Biology, Chromatin and Epigenetics for four full days to discuss their exciting recent findings as well as the future directions of these fields. The topics of the EMBO Workshop are sufficiently covered by the outstanding speakers. This EMBO Workshop has a unique focus and will allow all participants to receive a coherent, updated and original view of how the interplay of Systems Biology, Chromatin and Epigenetics will advance our understanding of development and disease, important areas that hold the keys for future therapeutic approaches.

ICERM

The field of mathematical and computational biology is rapidly growing. The most applicable computational models have been developed in collaboration between computational and life science researchers. This workshop aims to bring these groups together to facilitate and promote collaborations among them. A mathematical model for one disease might also be useful in modeling another disease. Some researchers are working on theoretical mathematical & statistical problems related to biological and biomedical applications, while others are developing computational methodologies to address fundamental life science knowledge gaps. This workshop fosters and features collaborations among these groups along with experimentalists and physicians. Theoreticians will be exposed to a variety of open biological questions in need of state-of-the-art and efficient mathematical methods. Computational scientists will learn about more robust and efficient methods that could be tailored to answer biological problems.

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Cells are the fundamental building blocks of life. Recent advancement in biotechnology has allowed us to peek inside this every cell for better understanding of biology and human disease. Single-cell technology also generates big and complex data and brings about new data science challenges for computational and life scientists. The objective of this workshop is to bring together international leaders in diverse disciplines including mathematical, statistical, computational, biological and medical in a collaborative atmosphere to develop the collaborative capacity that will tackle various underlying data science challenges in single-cell research.

Molekularbiologie,    Wissenschaftliches Rechnen und Datenwissenschaft

Isaac Newton Institute for Mathematical Sciences (INI)

The aim of this summer school is to foster the development of a community of quantitative scientists who, while working on different application areas, share their knowledge and help address fundamental questions in the mathematics of movement. The goal is to identify common challenges and cross-fertilise concepts and techniques for modelling and analysing movement data in animal ecology and cell biology. With basic, as well as advanced, topics on the mathematics of movement the summer school welcomes early career researchers who that are new novice to the area but also those who that are already familiar with it. The first three days will be dedicated, respectively, to (i) Data Acquisition and Technology, (ii) Data Analysis, and (iii) Modelling, while the 4th and 5th days will be spent working in separate groups on specific dataset and modelling challenges. There will be sessions for early career presentations and poster sessions, as well as opportunities to hear about successful interdisciplinary collaborations and various activities to enable networking with the programme organisers and the many academic participants of the programme. There will also be a competition for the best poster.

Simulation,    Kurse und Veranstaltungen für Studenten der Mathematik

Kavli Institute for Theoretical Physics, University of California, Santa Barbara

During animal and plant development, cells self-organize into complex organisms, through the gradual refinement of cellular identities and their arrangement in space. This is an iterative process, which progresses through successive rounds of symmetry breaking, accompanied by changes in molecular and mechanical properties that feed back across multiple scales. Many of the elementary processes underlying developmental patterning and morphogenesis are now well documented, and a growing array of tools is available to observe and manipulate their dynamics. Yet, we lack a set of general principles that explain how they are coordinated in space and time to produce a defined outcome, and comprehensive synthetic approaches that use such principles to recapitulate development in vitro. This program will bring together experimentalists and theoreticians to work towards an integrated view of self-organization. This requires that we examine how the collective dynamics of development emerge from individual cellular behaviors - how cellular decisions in high-dimensional gene expression landscapes are coordinated in patterning, and how cellular force generation and mechanical feedbacks provide a substrate for tissue-scale communication and morphogenesis. Unifying these different processes, the notion of information may provide a common currency for the molecular and mechanical cues that guide development, encouraging us to consider that information is not only conveyed and interpreted but also self-organizes.

morphogenesis, development, plant development, self-organization, theory, quantitative biology, biophysics

Biophysik,    Biologie

Isaac Newton Institute for Mathematical Sciences (INI)

Modelling collective group movement in animal ecology and cell biology has, over the years, followed two relatively parallel modelling paths. Most prevalent for the former are what one might define as discrete level models, whereby computational constructs are used to keep track of the spatio-temporal dynamics of each individual in a group. Problems in the latter, cell biology, have been tackled mostly by continuous models whereby the details of the individuals are neglected, in favour of a description of the entire population through, e.g. a density function. However, more recently hybrid agent-based/population models have gained increasing usage.

As the overall aim of the workshop is to create an overarching modelling framework with which to interpret common empirical features, the exchange of ideas and techniques from the different communities is an invaluable opportunity to move forward and at the same to delineate the boundaries of applicability of the different approaches in collective movement research.

Simulation,    Angewandte Mathematik (allgem.)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The advances in imaging techniques have enabled the access to 3D shapes present in a variety of biological structures: organs, cells, organelles, and proteins. Since biological shapes are related to physiological functions, biomedical analyses are poised to incorporate more morphological data. For example, at the macroscopic scale, characterizing brain morphologies allows clinicians to quantify the progression of Alzheimer's disease. At the microscopic scale, the characterization of protein morphologies allows biologists to understand how these biomolecules react to chemical variations of their environment and helps detect promising pharmacological targets for the treatment of conditions ranging from neurological disorders to several cancers. Therefore, different biological scales ask a common statistical question: how can we build mathematical and statistical descriptions of biological morphologies and their variations? This workshop invites participants from different application fields to exchange mathematical and statistical methods for the study of biological shapes.

Mustererkennung und Bildverarbeitung, Maschinelles Sehen,    Biophysik

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Angewandte Mathematik (allgem.)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The interface between biology and quantitative disciplines including physics, mathematics and engineering is rapidly expanding. This is the result of many factors, but is largely driven by higher resolution spatial and temporal data from cutting edge imaging techniques, and increasing success in applying physical modeling techniques to biological problems. Mechanobiology is an especially rapidly developing field at the quantitative biology interface. This field describes how force is generated in biological systems, how force impacts chemistry, and how force generation is controlled by intracellular signaling pathways. Numerous feedforward and feedback interactions connect forces in cells to the dynamics of proteins and gene expression, resulting in highly nonlinear systems with complex and often non-intuitive behaviours.

Biophysik,    Computerphysik und Numerische Simulation

Isaac Newton Institute for Mathematical Sciences (INI)

The study of interactions among living entities covers broad scientific domains, ranging from molecules and cells through individual organisms and groups to species, populations and communities. Common to all domains is the need to quantify the presumed interactions at the relevant spatial and temporal scales. While no formal theory exists in the literature, there exist different approaches that aim to construct a mechanistic representation of how individuals interact with each other as well as how to measure such interactions, but in most cases such approaches are specific to the problem at hand. The common factor among the existing approaches is their intention to represent the sequential nature of how organisms interact, first acquiring information from their surroundings, then processing that information and subsequently selecting a movement response.

By cross-fertilising different ideas and techniques in animal ecology and cell biology we aim to gain a more realistic perspective on measurement and representation of organism interactions, revisiting existing concepts, and permitting new discoveries and insights.

Simulation,    Angewandte Mathematik (allgem.)

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Angewandte Mathematik (allgem.)

Isaac Newton Institute for Mathematical Sciences (INI)

The purpose of this workshop is to bring together scientists interested in different areas of complex movement in a biological context, from field research, to data analysis, to theoretical modelling. In particular, the focus will be on complex movement beyond the Markov property, such as memory-dependent animal foraging processes, spatial avoidance due to past deposition of animal scent or resource depletion, and directed motion in neutrophils. Despite its ubiquity, the mathematical difficulty in dealing with history dependence has hampered the study of non-Markov movement processes. Past empirical limitations are also responsible for the lack of a general theory to describe history dependent movement processes, as detection of features that would distinguish between Markov and non-Markov model predictions were not attainable. Currently, movement data may reach unprecedented resolution, and there is a renewed interest in developing non-Markov movement models, exemplified by recent theoretical studies to devise general prescriptions to simulate non-Markov stochastic processes.

Simulation,    Angewandte Mathematik (allgem.)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

What have we learned from the COVID-19 pandemic, and how can we be better prepared for the next global outbreak? This workshop brings together collaborative teams of modellers, statisticians, epidemiologists, genomics experts, public health decision-makers, and those implementing and delivering interventions who have been working together in a research network, aiming to increase Canada’s capacity for data-driven emerging infectious disease modelling to directly support future public health decisions. This BIRS meeting is an important opportunity for network members and collaborators to share the outcomes of their research over the two years since the network was launched with funding from the federal government. The questions being tackled at this workshop are grounded in public health needs and generated in partnership between research investigators and knowledge users – public health leaders, health administrators and policy-makers.

Simulation,    Epidemiologie