MULTI-OMICS STAGE

• A major challenge for inhibiting metastasis is the ability of cancer cells to reversibly switch states in response to microenvironmental cues along the metastatic cascade.
• Phenotypic heterogeneity in cancer is increasingly recognised as a driver of tumour progression, metastasis and therapy resistance. The regulatory factors and signals from the microenvironment driving phenotypic heterogeneity in colorectal cancer (CRC) cells and liver metastasis remain unknown.
• Using a combination of single-cell multiomics and spatial transcriptomics data from primary and metastatic CRC patients, we reveal cancer states with regenerative and inflammatory phenotype, potentially driven by transcription factors AP-1 and NF-κB. We show that these cells resemble metastasis-initiating cells identified in mouse models and that they are enriched at the invasive edge in primary CRC.
• We identify an intermediate population with a hybrid regenerative and stem phenotype, indicating phenotypic transitions between stem and pro-metastatic cells. Our spatial analyses show localisation of the regenerative states in an immunosuppressive niche in liver metastasis, surrounded by immune and stromal cells that sustain these cells. We uncover putative ligand-receptor interactions driven by cancer-associated fibroblasts (CAFs), macrophages and CD8 T cells that are predicted to activate the regenerative and inflammatory phenotype in cancer cells.
• Together, our findings reveal regulatory and signalling factors that potentially mediate distinct cancer cell states and can be targeted to restrict transition into invasive states to impair metastasis.

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• A short introduction to Reactome
• A brief explanation of the principles behind the different analysis methods
• A demo of Reactome GSA in a multi-comics context

• Exhibition Floor : Wander around the vibrant exhibition floor to see the latest technologies and services on offer
• Food Options : Grab a sandwich at The Tree of Life Cafe or head on over to the Food Village for a range of hot food options including Indian, Jamaican and Thai food
• Live Lounge Over Lunch : 15 mins technology focussed presentations
• Poster Zone : Browse the posters and reach out to potential new collaborators
• Talkaoke : The Flying Saucer of Chat, a fun and interactive pop-up show that offers you the opportunity to sit down with others and discuss any topic you like.
• Patient Perspectives: Talks and discussions on the crucial role of patients and patient families in the understanding and development of treatments for rare diseases.

• Laboratory and bioinformatic outline of the generation of single cell and long read sequencing from human cortex tissue Identification of transcript diversity and usage in the developing cortex, including for genes associated with neuropsychiatric phenotypessuch as autism and schizophrenia
• Highlighting examples of alternative splicing colocalising with developmentally-dynamic regions of differential DNA methylation
• Our annotations are available as a resource to the research community via browsable tracks and database
  

• We combine mathematical methods with network analysis to identify phenotype and context-specific networks
• We use these networks to provide insight into the regulation of human cell signalling, including the generation of multiple new hypotheses and predictions of context-specific cell responses 

• Speed Networking: Fun and useful sessions where you’ll rapidly meet other Festival attendees to immediately expand your network.
• Food Options : Grab a sandwich at The Tree of Life Cafe or head on over to the Food Village for a range of hot food options including Indian, Jamaican and Thai food
• Exhibition Floor : Wander around the vibrant exhibition floor to see the latest technologies and services on offer
• Talkaoke : The Flying Saucer of Chat, a fun and interactive pop-up show that offers you the opportunity to sit down with others and discuss any topic you like.

• Infrastructure needs Using exemplars to demonstrate
• Importance of using validated and standardised computational approaches
• Challenges and opportunities for discovery science in clinical trials.

• Most omics-based association studies consider marginal effects i.e., each SNP/protein/CpG is modelled in an independent regression model We have co-developed methods that can model all omics features simultaneously and conditionally on each other.
• We have also extended this to consider multiple disease/phenotype outcomes simultaneously in a multivariate regression framework Here, I will provide examples of how these approaches improve our ability to identify lead loci and boost prediction in external test sets
• These examples will focus on common disease outcomes (e.g., CVD, type 2 diabetes, Alzheimer's dementia) that have been ascertained via data linkage to electronic health records in the Generation Scotland cohort (n~20,000). The omics features will include SNPs, CpGs (EPIC array methylation) and proteins (measured by mass spectrometry). 
  

• Expansive study combining RNA-protein interactome, proteome, transcriptome and metabolomics datasets
• Exploring the interplay between enzymes and RNA through integrated multi-omics analysis
• Unravelling connections between RNA and intermediary metabolisms