Cell Biology workshops

This hands-on course analyses mass-spectrometry measurements of biochemically fractionated cells to infer subcellular protein locations. Participants build reproducible R/Bioconductor workflows for preprocessing, quality assessment, annotation and machine-learning-based localization prediction. Guided examples connect protein profiling measurements to cellular maps and interpretation. The course targets proteomics researchers, bioinformaticians and data analysts; previous proteomics experience is helpful but introductory experimental context is provided. It covers fractionation-based measurements rather than antibody imaging or other spatial microscopy technologies. The dated programme lists online teaching from 12:00 to 16:00 Berlin time on November 10–12.

Genomics, proteomics and imaging now measure molecules and cells across many scales. This workshop examines how mechanistic models can integrate those measurements and biological dynamics to explain and engineer cellular behaviour. Researchers in single-cell analysis, dynamic proteomics, quantitative imaging, synthetic biology and theory will connect experimental and computational approaches. The programme links three themes: cell dynamics and interactions; molecular mechanisms and engineering; and rigorous quantitative models. Sessions address multiscale modelling, molecules over time, large-scale perturbations, prediction of cell states, dynamic processes, and stem-cell engineering. Virtual participation includes livestreamed talks, questions and discussion, plus available recordings for four weeks; individual speakers may decline recording. Virtual participants cannot submit presentation abstracts. Fees: PhD students €175, academia €200, industry €275; card payment is required. Virtual registration closes 10 November 2026. On-site registration is closed. Programme times are Europe/Berlin (CET, UTC+1): 17 November opening at 13:15 and talks from 13:30; 18 and 19 November sessions from 09:00; 20 November from 10:00, with closing remarks at 13:15–13:30.

Brain-restricted somatic variants can cause cortical malformations, developmental tumors and other focal epilepsies while escaping routine germline tests. This investigators workshop examines sensitive methods for detecting variants present in only a small fraction of cells. Sessions cover minimally invasive sampling, genomic assays, single-nucleus RNA sequencing and spatial analysis of brain tissue, then connect these approaches to genotype–phenotype relationships and mechanistic studies in human cells and mosaic mouse models. The aim is to improve diagnosis and identify more targeted therapeutic strategies. Saturday 5 December, 14:30–16:00 Mountain Standard Time (America/Denver). Part of the 2026 American Epilepsy Society Annual Meeting. In-person meeting registration and a free myAES account are required. Standard full-meeting rates are USD 800 for member scientists and USD 1,075 for non-member scientists; student rates are USD 250 and USD 360, respectively. Other professional and one-day categories are available. Seating priority goes to registered attendees.

Analyze gene expression within tissue using imaging-based and sequencing-based spatial transcriptomics. Guided R/Bioconductor labs cover cell segmentation, quality control, interactive exploration and integration with single-cell datasets. Downstream analyses characterize cellular niches, neighbourhoods and cell–cell communication. The course concludes with project design and a team hackathon using participant or public data, connecting computational outputs to biological interpretation. 2026-12-14–2026-12-18, 14:00–18:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €530. Designed for advanced students and researchers with basic R and Bioconductor proficiency.

Comparative genomics and single-cell transcriptomics are combined to investigate cell-type evolution. Guided exercises progress from orthology inference and gene-family trees to single-cell preprocessing, clustering and annotation, followed by cross-species comparisons. The course examines duplication, gene loss, study design and how evolutionary relationships among genes affect proposed correspondences between cell populations. It also addresses limitations of using expression similarity as evidence for cell-type homology. The audience is postgraduate students and researchers with basic evolutionary and genomics knowledge. Sessions run 14:00–18:00 Berlin time; the listed course fee is €480.

Explore gene expression while preserving the spatial context lost in bulk and conventional single-cell sequencing. This workshop compares imaging-based and sequencing-based spatial transcriptomics and works through public human and mouse datasets. Hands-on analysis covers loading, quality control, segmentation, integration, cell typing and identification of cellular neighborhoods and niches. Intended for biomedical and life-science graduates or postgraduates with some R experience; demonstrations use R and Python code is also supplied. Familiarity with RNA sequencing is helpful. Sessions on 1, 3 and 5 February 2027, 09:00–13:00 Madrid time (CET). Twelve live hours and three independent hours. Fee including VAT: EUR 356 through 31 December 2026, then EUR 430; Ambassador Institution rates EUR 284.80 and EUR 344. Limited to 16 participants. Acceptance is confirmed before payment. Delivered live online in English with practical exercises. Live attendance is required for a certificate.

The workshop integrates cryo-electron tomography, fluorescence microscopy, mass spectrometry and computational modeling to investigate macromolecular complexes within intact biological systems. Sessions connect molecular machines with organelles, whole cells and multicellular interactions, emphasizing complementary data and methods that preserve native context. It welcomes experts and early-career life scientists interested in advanced imaging and system-wide analysis. On-site sessions start at 13:30 on 9 February and finish at 12:30 on 12 February, Europe/Berlin time. On-site registration closes on 5 January; virtual registration closes on 2 February 2027. Virtual attendance includes live talks, questions and time-limited access to recordings where speakers permit.

Combine complementary omics measurements to identify biological pathways and model cellular behaviour. Lectures and practicals compare supervised feature selection and integration using LASSO, PLS, LDA, mixOmics and DIABLO with unsupervised MOFA models and deep-learning autoencoders. The final day covers dimensionality reduction, graph-based integration, batch correction and multimodal single-cell analysis using Seurat and weighted nearest neighbours. Participants learn to select and implement an integration strategy suited to their research question. Live online, 15–17 February, 14:00–19:00 Europe/Berlin (CET). Fee €450. Basic Unix awareness and beginner-level R or Python are expected.

This practical course trains PhD students and postdoctoral researchers in preparing and characterising extracellular vesicles from biofluids and tissues. It connects vesicle formation, subtype diversity and in vivo function with isolation, purification and identification methods. Participants compare the strengths and limitations of experimental approaches, including single-vesicle analysis and omics, and learn how to choose methods suited to their biological questions. Theoretical sessions and hands-on work emphasise good practice and reliable interpretation for studies of physiological processes, disease mechanisms and biomedical applications.

This course gives PhD students and early-career postdoctoral researchers practical and theoretical training in spheroids, organoids and tissue explants. Participants compare models for biological research, disease modelling and functional precision medicine, including their strengths, limitations and levels of complexity. Training covers extracellular matrices, reproducible culture establishment, experimental controls, longitudinal microscopy, viability and cell-death assays, advanced imaging and preparation for downstream omics. Experimental-data processing and interpretation accompany the laboratory work. Standardisation, minimum-information guidance and metadata sharing support the selection of appropriate models and reproducible study design.

The meeting compares bacterial and archaeal division mechanisms, integrating FtsZ-ring organization, divisome assembly, chromosome segregation and cell-envelope remodeling. Non-model organisms and FtsZ-independent systems broaden the comparative perspective, including links to the evolution of eukaryotic cytokinesis. Methods span genetics, biochemistry, live imaging, structural biology, biophysics, computation and in-vitro reconstruction.

The programme follows memory mechanisms from molecular and cellular processes through synapses, microcircuits and distributed brain networks. It connects engram formation and synaptic plasticity with encoding, consolidation, persistence and flexibility. Sessions examine transcriptional, translational, epigenetic and RNA regulation, together with neuromodulation, before considering circuit vulnerability and memory disruption in neurodegenerative and neuropsychiatric disorders. Novel methods and unresolved questions connect the different biological scales. A satellite symposium on synapses and cognition takes place on 26 April. On-site and virtual participation are available; applicants submit an abstract or a brief statement of interest and are selected for scientific relevance.

This workshop connects cellular mechanics and three-dimensional genome regulation with machine learning. It examines how mechanical environments activate transcription factors, move regulatory molecules into nuclei, couple the cytoskeleton to nuclear architecture, alter chromatin dynamics and influence genome maintenance and disease. High-resolution imaging, live-cell tracking, engineered microenvironments, ultrasensitive detection, single-cell and spatial omics, and computational models provide complementary approaches. Physicists, engineers, computer scientists, biologists and clinicians will discuss how these methods can reveal causal links between nuclear mechanics and gene regulation.

This EMBO Practical Course trains early-career researchers to integrate experimental and computational tools for studying development. Practical modules cover live and optogenetic imaging in teleosts, single-cell transcriptomics, CRISPR-Cas9 genome editing, multiplex hybridization chain reaction for spatial gene-expression analysis, and morphometric analysis in African cichlids. Lectures and data-analysis sessions connect the methods to cell fate, lineage relationships, cellular dynamics and morphogenesis. Participants with foundational developmental-biology experience are encouraged to bring their own biological material for selected practicals. Applications are due 22 February 2027. The preliminary programme starts with welcome and safety guidance at 14:00 on 31 May and closes with feedback at 11:30–12:30 on 8 June (Europe/Berlin).

This EMBO Practical Course teaches experimental and computational approaches to transcriptome-wide translation measurements at codon resolution. Changes in ribosome occupancy, elongation and initiation can reshape protein production before transcription changes, including during cellular stress. Participants learn a ribosome profiling protocol, adapt it to different experimental systems, and examine ribosome collisions as indicators of ribotoxic stress. Computational training covers quality control and analysis using resources including the RiboSeq Data Portal and RiboCrypt. The course is intended for PhD students and early postdocs entering posttranscriptional gene regulation. It is limited to 18 participants, with selection requiring a motivation letter.

This practical course introduces spatial-omics methods, particularly multiplex immunofluorescence and spatial transcriptomics, and helps researchers choose suitable approaches for their questions. Hands-on sessions teach open-source imaging methods designed for cost-effective experiments. Training follows the full workflow from custom reagents and sample preparation to microscopy data acquisition, image processing and basic analysis. The intended participants are PhD students, postdocs and staff in tissue biology or biomedicine with experience in tissue handling, immunofluorescence and basic microscopy.

Biological mechanisms often have to be reconstructed from indirect measurements such as microscopy images, gene activity and cellular time series. This workshop examines inverse problems in living systems, where noise, complexity and diversity challenge existing mathematical approaches. Mathematicians, physicists, computer scientists and biologists will explore methods including deep learning and models informed by physical constraints to infer hidden cellular, genetic and neural mechanisms from experimental data.