The 4th EMBL Conference: Cancer Genomics (4 – 6 November 2019) brought together over 240 scientists in the field of cancer research to present the latest findings in cancer functional genomics, systems biology, cancer immunogenomics and epigenomics, as well as their translation and clinical impact.
123 posters were presented at the two poster sessions, out of which two were selected as the winners by popular vote.
Infinite sites violations during tumour evolution reveal local mutational determinants
The infinite sites model of molecular evolution requires that every base in the genome is mutated at most once. It is a cornerstone of (tumour) phylogenetic analysis, and is often implied when calling, phasing and interpreting variants or studying the mutational landscape as a whole. It is unclear however, whether this assumption holds in practice for bulk tumour samples. Here we provide frameworks to model and detect infinite sites violations, identifying 24,459 in total, including 6 candidate biallelic driver events, in 700 bulk tumour samples (26.3%) from the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes project. Violations generally occur at mutational hotspots and their frequency and type can accurately be predicted from the overall mutation spectrum. In melanoma, their local sequence context evidences how not only ETS, but also NFAT-family transcription factor binding creates hotspots for UV-induced cyclobutane pyrimidine dimer formation. In colorectal adenocarcinoma, violations reveal hypermutable special cases of the trinucleotide mutational contexts identified in POLE-mutant tumours. Taken together, we reveal the infinite sites model breaks down at the bulk level for a considerable fraction of tumours. These results warrant a careful evaluation of current pipelines relying on the validity of the infinite sites assumption, especially when scaling up to larger sets of mutations and lineages in the future.
Out of the 248 posters presented, 2 stood out from the rest and were awarded a poster prize based on popular vote. Here we present the abstracts and posters of the winners.
CalQTrace: Simultaneous Calculation and Quantification of 100,000 immune activation Traces at single-cell resolution using CNN
Authors: Liliana Barbieri (1), Kseniya Korobchevskaya (2), Azeem Ahmad (3), Huw Colin-York (1), Aurelien Barbotin (4), Glykeria Karanika (1), Loic Peters (5), Isabela Pedroza-Pacheco (4), Angela Lee (1), Lena Cords (1), Anish Priyadarshi (3), Dominic Waithe (6), Jana Kohler (6), Christoffer Lagerholm (6), Balpreet Singh Ahluwalia (3), Marco Fritzsche (2)
Quantification of immune cell activation is essential to the understanding of their effector function. Tracing activation signatures like cellular calcium release and the expression of surface markers in response to activation signals allows the classification of the course of immune cell activation from early triggering events to late differentiation. However, robust quantitative platforms for such measurements represent a major challenge, restricting the analysis to small single-cell population or more recently to cell ensembles with high-dimensional parameter analysis tools. Here, we introduce a combination of a convolutional neural network-based CalQTrace (Calculation and Quantification of Trace) software, together with a Graphical User Interface, and an optical high-throughput light-sheet platform, allowing the simultaneous fully automated quantitation of immune cell activation traces of >100,000 live immune cells. CalQTrace enables user-independent statistically robust classification and quantification of multiple fluorescent activation markers including calcium, CD25+/- expression, and cell viability tracking single cells in space and time within a 5 mm x 5 mm large-field-of-view, opening-up unprecedented insights into physiological activation tracing in living immune cells.
(1) MRC Human Immunology Unit, University of Oxford, United Kingdom (2) Kennedy Institute for Rheumatology, University of Oxford, United Kingdom (3) The Arctic University of Norway, Norway (4) University of Oxford, United Kingdom (5) University College London, United Kingdom (6) Weatherall Institute of Molecular Medicine, University of Oxford, United Kingdom
Poster currently not available
Bleaching-insensitive STED microscopy with exchangeable fluorescent probes
Authors: Christoph Spahn (1), Florian Hurter (1), Mathilda Glaesmann (1), Jonathan Grimm (2), Luke Lavis (2), Hans-Dieter Barth (1), Marko Lampe (3), Mike Heilemann (1)
Photobleaching affects image quality and resolution in fluorescence microscopy, and thus limits the extractable information. This is in particular relevant for super-resolution microscopy where typically high laser intensities are used. In order to minimize photobleaching, we repurposed the use of exchangeable fluorescent probes, as used in single-molecule localisation microscopy methods such as Point Accumulation for Imaging in Nanoscale Tomography (PAINT) , for STED microscopy. We demonstrate pseudo-permanent labeling of target structures and constant exchange of photobleached fluorophores. This concept allows for whole-cell, 3D, multi-color and live-cell STED microscopy . Using transiently binding hydrophobic dyes and fluorophore-labeled major minor groove binders [3, 4], we visualised the nanostructure of chromatin, cell membranes and organelles in bacterial and mammalian cells in 3D. To expand the range of targets, we employed oligonucleotide-labeled antibodies that transiently bind fluorophore-labeled oligonucleotides, as used in single-molecule super-resolution imaging with DNA-PAINT , and demonstrate multi-color STED imaging.
 Sharanov and Hochstrasser, PNAS 103 (50), 18911-18916 (2006)
 Spahn et al., Nano Letters 19 (1), 500-505 (2019)
 Lukinavičius et al., Nature Communications 6, 8497 (2015)
 Spahn et al., Scientific Reports 8, 14768 (2018)
 Schnitzbauer et al., Nature Protocols 12(6), 1198-1228 (2017)