SEP 17, 2019 09:00 AM PDT

Spatial transcriptomics reveals insights into the melanoma tumour microenvironment

Speakers
  • Theme Cancer, PO HHLH/Skin Cancer Center, Karolinska University Hospital; Department of Oncology-Pathology
    Biography
      Hanna is M.D, Ph.D, specialized in Medical Oncology and Dermatology working at Theme Cancer (Dept. of Oncology) Karolinska University Hospital, Sweden. Her research field is focusing on clinical/translation research on prognostic and treatment predictive biomarkers in melanoma at the Dept. of Oncology-Pathology, Karolinska Institutet. She ahs been collaborating with the the Spatial Transcriptomics (ST) Research group at SciLifeLab since several years.
    • Student - Spatial Transcriptomics (ST) Research group - SciLifeLab
      Biography
        Kim is a PhD student in the Spatial Transcriptomics (ST) Research group at SciLifeLab in Stockholm and has worked extensively with the ST technology since 2014. She has a background in biotechnology and engineering with a MSc from the Royal Institute of Technology (KTH) in Stockholm. Besides using ST to explore melanoma, Kim is working with method development to improve the technology as well as adapt it for new applications.
      • Senior Segment Marketing Manager for Cancer Research at Illumina
        Biography
          Aida Soler is the Senior Segment Marketing Manager for Cancer Research at Illumina, covering the EMEA region.
          Aida received her BSc from Universidad Autónoma de Madrid (Spain), specializing in Genetics. She later carried out her post-graduate studies at Centro de Biología Molecular Severo Ochoa, where she was involved in the International Yeast Genome Project (Saccharomyces cerevisiae ) - the first complete eukaryotic genome to be sequenced, that paved the ground in technology development and collaboration framework, and provided first insights into large genome studies such as the Human Genome Project.

          She then moved from academia to industry, initially as Field Application Specialist in the genomics market. Since then, she has held different sales positions, and ultimately moved to marketing, where she has developed different applications, introduced new technologies, and enabled key customer collaborations, both in the research and the clinical environment, at Beckman Coulter, NanoString and now, Illumina.
        • Technical Sales Specialist, 10x Genomics
          Biography
            Stephen Hague is a Technical Sales Specialist for 10x Genomics working in Europe. Stephen received his BSc from Sheffield University, his MSC in Human Genetics from Imperial College London and Studied for his PhD at the John Radcliffe Hospital Oxford and Oxford Brookes in the field of Angiogenesis.
            Upon Completing his PhD, Stephen worked as a Post Doctoral researcher at the NIH in Bethesda USA performing research into the Genetics of Parkison's Disease. Work he continued as a Russell Research Fellow at the University of Sheffield UK.
            Stephen moved to Applied Biosystems as a Field Applications Specialist and subsequently held the position of European Droplet Digital PCR Specialist working at Bio Rad laboratories.

          Abstract:

          DATE:  September 17, 2019

          TIME:   9:00am PDT

          Spatial Transcriptomics (ST) technology reveals gene expression from up to one thousand spots across a tissue section. In this webinar, Dr. Hanna Eriksson and Kim Thrane from Karolinska Institute will present the workflow of ST and show how they adapted the protocol for lymph node metastasis of cutaneous malignant melanoma (CMM). By exploring the spatial gene expression data from four lymph node metastasis, they confirmed the anticipated inter- and intratumoral heterogeneity as well as identify a shared gene expression profile in lymphoid tissue. ST is believed to be a valuable tool for a better understanding of tumor progression and responses to treatment. Kim will discuss: Spatial Transcriptomics - Bridging histology and RNA-seq The Spatial Transcriptomics (ST) technology provides transcriptome-wide RNA-seq data from hundreds of 100µm-sized spots within a tissue section. In this presentation I will go through the principles of the method, describe the tissue optimization procedure and show examples on data visualization. I will also talk about how Spatial Transcriptomics has been further developed by 10x genomics to become Visium, with increased sensitivity and higher spatial resolution. Hanna will discuss: Exploring genetic heterogeneity in Stage III Cutaneous Malignant Melanoma The prognosis in melanoma differ markedly within stage groups and melanoma is one of the most immunogenic and genetically heterogenous of all cancers. The ST technology based on melanoma lymph node biopsies has successfully generated sequencing data of transcriptomes from over 2,200 tissue domains. By using a strategy for deconvolution along with traditional approaches for dimensionality reduction of transcriptome-wide data, the transcriptional landscape within the tissue was visualized and gene expression profiles linked to histological entities were identified. Our unsupervised data demonstrated a more complex spatial intratumoral composition. By applying the ST technology to generate gene expression profiles, a new landscape of the melanoma metastases becomes evident. This should inspire further analyses to understand the multiple components of tumor progression and therapy outcome in a spatial context.

           

          Learning Objectives:

          • Learn about the concepts and workflow of Spatial Transcriptomics.
          • Learn about the limitations and needs in CMM diagnosis and treatment.
          • Learn how spatially resolved transcriptomics can reveal insights into the tumor microenvironment of CMM.

           

          Webinars will be available for unlimited on-demand viewing after live event.

           

          LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety. 


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