Conférences  >  Sciences biologiques  >  Biologie moléculaire  >  Allemagne

EMBL Heidelberg

Flow cytometry is a highly effective method for analysing individual cells that has become widely used in the fields of life sciences and medicine. By utilising flow cytometry, researchers can accurately identify and measure specific cell populations within complex mixtures, as well as assess cell cycle progression, proliferation status, and expression of fluorescent markers. Our course aims to provide a comprehensive understanding of the underlying principles of flow cytometry, while also emphasising practical considerations related to the most frequently used assays. Through a combination of theoretical instruction and hands-on training, students will gain the knowledge and skills necessary to effectively design, execute, and interpret flow cytometry experiments.

EMBL Events;     Email.: events@embl.de

EMBL Heidelberg

This meeting will provide an opportunity to learn about and keep up to date with the rapidly progressing area of cancer genomics. We aim to bring together scientists from across several disciplines connected with cancer research, for a unique opportunity to interact and stimulate further integration of these efforts.

EMBL Events;     Email.: events@embl.de

EMBL Heidelberg

The nucleus lies at the literal and figurative heart of the cell – as the one organelle that all eukaryotes share, it is over 2 billion years old and integrated with every aspect of cellular function, from mechanosensing and genome regulation to membrane trafficking and cell division. Although the role of the nucleus in organising, housing and protecting the genome frequently takes centre stage, much remains to be discovered about the cellular physiology of this unique organelle studied in its own right rather than just as a passive scaffold for chromatin. This meeting will bring together a group of scientists spanning the fields of biochemistry, membrane trafficking, cytoskeletal dynamics, cell division control and cellular biophysics to address the cellular roles of the nuclear compartment from a diversity of angles.

EMBL Heidelberg

The rapid evolution of computational structural biology, driven by AI, continues to revolutionise our understanding of biomolecular structures, functions, and interactions. This follow-up to the 2023 first edition of the workshop responds to the field’s swift advancements and the pressing need for a forum that not only aligns with these progresses but also foresees future shifts. The conference aims to advance computational structural biology, promote the adoption of innovative methodologies, and enhance interdisciplinary research and collaborations. Capturing the latest advancements in this vibrant field, this second edition of the meeting is set to provide a pivotal platform for disseminating these breakthroughs and charting future directions in computational structural biology.

EMBL Events;     Email.: events@embl.de

EMBL Heidelberg

This course will provide training in genome editing and cell engineering in mammalian cells and mouse embryos using the highly efficient CRISPR/Cas9 system. Participants will learn design of CRISPR targets using bioinformatics tools, generation of gene knock-outs/knock-ins, and target validation using the most current technologies. The course will be split into two groups (mammalian cells OR mice) based on participants’ expertise. Please note that all participants are expected to engage in all sessions. Participants should plan for approximately 1 hour extra per day for self paced learning modules.

EMBL Events;     Email.: events@embl.de

Génomique et bio-informatique,    Biologie

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Metabolomics involves the comprehensive analysis of small molecules within a biological sample. Typically acquired using mass spectrometry, metabolomics data reflect the cellular state which can provide insights into health, disease, environmental toxicity, industrial technology, and other areas. Metabolomics data is rich and complex, requiring specialized techniques to interpret the data. With improved detection technologies and advances in machine learning and generative AI, computational analysis of metabolomics is rapidly expanding. This Dagstuhl Seminar extends the Computational Metabolomics series by focusing on enhancing our understanding of metabolomics data and turning the data into actionable biological insights. During this seminar, we aim to discuss topics related to several current challenges in metabolomics.

Evénement multidisciplinaires ou générales en informatique,    Biologie des systèmes

Supramolecular chemistry has evolved into a vibrant and interdisciplinary field, offering powerful design principles to create complex, dynamic, and functional systems. The Beilstein Symposium “Designing Dynamic Matter – Frontiers in Supramolecular Systems” will bring together researchers working at the forefront of this rapidly expanding area to discuss how supramolecular strategies are shaping new directions in chemistry, materials science, and the life sciences.

The symposium will cover, but is not limited to the following themes: / The origin of life and synthetic cells / Molecular machines and out-of-equilibrium systems / Supramolecular materials for sustainability / Biomaterials and the interactions with cells / Molecular computing / Machine learning and AI in multi-components systems / Fundamental supramolecular systems

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

Living systems operate far from equilibrium, relying on a complex network of biochemical processes fueled by energy from their environment. However, this energy is often limited, and biochemical systems must use it efficiently to maintain robust functioning. Despite the critical role of chemical and metabolic networks in evolution, growth, and signaling, how energy constraints shape their behaviors or the full range of their emergent properties remain elusive. Addressing these open questions is essential for uncovering the fundamental principles that drive the complexity of life, and the link between energetic and cellular functions. By drawing on concepts from physics, we can better understand how living organisms optimize their limited energy resources and potentially apply these insights to the design of new materials with life-like properties. The aim of this workshop is to bridge different fields—stochastic thermodynamics, metabolic networks, and synthetic life—creating a connection among theoretical, computational, and experimental scientists to tackle these challenges.