Sunday, 11th December Multi-Omics Inaugural Conference 2022

• Implantation of national screening program, the example of France - Benjamin Besse
• Developing spatial specific gene signatures for resistance to immunotherapy in Melanoma - Thazin Aung
• Multi-omics and rare cancers: a new N-of-1 era - Razelle Kurzrock
• The role of spatial expression of FGFR2 splice isoform in endometrial cancer and other solid cancers - Asmerom Sengal
• Single-molecule real-time transcriptomics for the molecular diagnosis and phenotyping of leukemias - Martin A Smith
• 3D whole organ imaging of mono and polyclonal breast cancer metastases in the murine lung and brain - Sabrina M Lewis

• PIPdx, a multi-omic tool to predict the response of melanoma patients to anti-PD1-based immune checkpoint inhibitors - james wilmott
• Making a spatial map of the gene regulatory network of the developing human brain - Jasmine Plummer
• Data analytical approaches for high resolution spatial transcriptomics data - Shila Ghazanfar
• Contextual Tissue Cytometry Using Precision Microscopy with Artificial Intelligence - Rupert C. Ecker
• From functional genomics to precision medicine: targeting the dynamic cellular ecosystem of pancreatic cancer using clinically-safe agents - Sean Porazinski
• Comparative proteomic analysis of human malignant ascites fluid and ovarian cancer cell lines cells cultured within, reveals pathways mediating cancer progression and metastasis - Jennifer Washington

Session supported by:

• Epithelial mesenchymal transition in carcinoma; therapeutic intervention - Jean Paul Thiery
• Spatial Profiling of Intra-tumoral Heterogeneity in Ovarian Clear Cell Carcinoma - Ruby Huang
• Pooled CRISPR activation screens with single-cell RNA-sequencing readout using CROPseq - Johannes W Wichmann
• Stereo-seq™—Large field-of-view, high-resolution spatially-resolved transcriptomics using DNA nanoball patterned arrays - Xiaohuan Sun
• Spatial profiling of lung cancer GeoMx DSP data, insights from analyses using StandR - Chin Wee Tan

Supported by:

• Integrative proteomics and transcriptomics of human T-cells reveals temporal changes in metabolic pathways following TCR-mediated activation - Ailin Lepletier
• Uncovering subtype specific intra-tumoural heterogeneity in brain cancer - Joel JD Moffet
• Screening for immunosuppressive markers in the tumour microenvironment of bladder cancer - Brendan Fu-Long Sieow
• Spatial signatures of immunotherapy outcomes in patients with rare cancers. - Dmitrii Shek
• Pinpointing spatial transcriptional changes driving retinal degeneration - Ulrike Schumann
• Immune repertoire profiling reveals its clinical application potential and triggers for Neuromyelitis Optica Spectrum Disorders - Mingyan Fang
• A meta-analysis of tissue microbiome in head and neck cancer - Kenny Yeo
• The Seesaw Regulation of Alternative Polyadenylation during Aged related Macular degeneration progression - Lixinyu LL Liu
• Best Practices in Designing and Running Spatial Genomics Projects - Ufuk UD Degirmenci
• Current tools for CosMX SMI data analysis - Sarah Williams
• Omics applications  in clinical cancer genomics and clinical trials. - Kenneth O'Byrne
• Clinicopathological Evaluation and Precision Medicine Approach to a Rare Instance of a Nested Variant of Urothelial Cancer - Clarissa Nicholls
• Studying the immune microenvironment in lung cancer patients using spatial multi-omic approaches. - Claire Marceaux
• A user-friendly image analysis pipeline for highly multiplexed imaging data  - Kenta KY Yokote
• Spatial lipidomics-guided proteomics using matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) and laser-capture microdissection (LCM) - Jacob JT Truong
• Digital spatial profiling (DSP) of intra-tumor heterogeneity in ovarian cancer (OC) - Kochen Chen
• Integrated gene expression, single-cell and spatial transcriptomics identifies early molecular and cellular events in gastric carcinogenesis - Andrew Su
• Flexible spatial transcriptomics protocol for archived cancer tissues - Tuan Vo
• Maximizing multiomic insights with Single Cell Gene Expression HT - Corey Nemec
• Spatial profiling of the tumour microenvironment in head and neck squamous cell carcinoma in immunotherapy cohort patients - Habib Sadeghirad
• Spatio-temporal landscape of cellular interaction and immune cell dynamics in traumatic brain injury - Duy Pham
• Deep single-cell, proteogenomic insights from SARS-CoV-2 infected lung tissues - james Monkman
• Single-cell RNA sequencing and TCR sequencing reveal the distinctive roles of CD4⁺ and CD8⁺ T cells in autoimmune uveitis - Hongjian Sun
• Making personalization of cancer treatment a reality with Spatial transcriptomics - Andrew Causer
• Large-scale proteomic analysis for the effects of non-saponin fraction from Korean red ginseng in frontal cortex of 5XFAD mouse model - Hak Su Kim
• Deep Multimodal Graph-Based Network for Survival Prediction from Highly Multiplexed Images and Patient Variables - Xiaohang Fu
• A large scale association analysis of miRSNPs with prostate cancer and additional analysis identifies a functional KLK variant - Jyotsna Batra
• A deep-learning based comparative study of survival prediction using histology, bulk RNA-seq and spatial gene expression - Chuhan Wang
• VR-Omics: Spatially Resolved Transcriptomics Exploration in Virtual Reality  - Mirana Ramialison
• MULTIOMICS APPROACH TO IDENTIFY EARLY PREGNANCY PLASMA BIOMARKERS IN HORSES - Tharangani R W Perera
• vissE – Visualising higher-order biological processes in spatial transcriptomics datasets - Dharmesh Bhuva