Molecular Pixelation: 3D spatial proteomics of the cell surface

What will you learn?

• The principles behind Molecular Pixelation and the technology’s ability to detect 80 cell-membrane proteins in thousands of single immune cells simultaneously.
• How detailed insights into the spatial distribution of membrane proteins offers a deeper understanding of cellular functions.
• The significance of the spatial protein polarization and colocalization information captured by Molecular Pixelation and how these parameters provide a holistic view of cellular behavior.
• The diverse applications of Molecular Pixelation in groundbreaking discoveries within the fields of immunology, hematology, immunotherapy, drug development, and translational research.

Who this may interest?

• Immunologists
• Haematologists
• Health care professionals working in immunotherapy
• Clinicians and researchers working with more applied research like biomarker discovery, drug development and future diagnostics.

Speakers

Petter Brodin

Pediatrician and Professor of pediatric immunology

Imperial College London (UK) & Karolinska Institutet (Stockholm, Sweden)

Petter Brodin is Garfield Weston Chair and Professor of pediatric immunology at Imperial College London and professor of Pediatric immunology at Karolinska Institutet in Stockholm, Sweden. The Brodin lab (https://brodinlab.com/) develops and applies novel experimental and computational methods to describe human immune system variation with a particular interest in the immune system of children, its development early in life, and its role in health and disease during childhood.

Jessica Nordlund

Associate Professor

Science for Life Laboratory, Uppsala University (Sweden)

Jessica Nordlund holds a BSc in Biology from San Diego State University and a PhD in Molecular Medicine from Uppsala University. With over 15 years of expertise in -omics and sequencing, she serves as a director of the Swedish National Genomics Infrastructure at SciLifeLab and leads a research group at Uppsala University. Her research focuses on integrating high-throughput ex-vivo drug screens and -omics data with machine learning to pinpoint biomarkers for the refinement of molecular diagnosis and to investigate innovative approaches for the treatment of acute childhood leukemia.