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Understanding T-Cell Responses: Coupling Single Cell Sequencing with Advanced Immunoinformatics
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Characterising T-cell responses at high resolution is essential for advancing immuno-oncology, infectious disease research and cell therapy development. Single cell RNA and T-cell receptor (TCR) sequencing now reveal T-cell heterogeneity at unprecedented throughput. Yet one major bottleneck remains: turning vast sequence datasets into functional insight, and identifying which antigens those T cells actually target.

This webinar shows how integrating high-resolution single cell sequencing with AI-driven immunoinformatics bridges the gap between TCR sequence and antigen specificity.

What you will learn

  • Capture more from every cell. Obtain full-length paired TCR sequences alongside single cell transcriptomic profiles, at high throughput.
  • Predict what T cells recognise. Infer T-cell target recognition and specificity directly from sequence data, using advanced in silico epitope annotation.
  • Move faster from reads to results. Streamline the workflow from raw single cell reads to functional immune insight, accelerating biomarker discovery and T-cell therapy pipelines.

Discover how combining cutting-edge single cell technology with machine learning turns complex TCR repertoires into clear, actionable immunological data.

This session is for researchers investigating T-cell responses in immuno-oncology, infectious disease, autoimmunity or vaccine development. It also suits teams building T-cell therapy pipelines, and bioinformaticians working with immune repertoire data.

Meet the speakers

Marisa Amato, PhD
Market Development Manager UK & Ireland, Singleron Biotechnologies

Marisa holds a PhD in Clinical Neuroscience and Molecular Biology from Brighton and Sussex Medical School, where her research focused on cellular disease mechanisms and biomarker discovery. Drawing on her extensive background in molecular biology and high-resolution sequencing, Marisa works closely with academic scientists to design and implement single cell multi-omics workflows tailored to complex biological questions.

Dr. Sander Wuyts
CEO and Co-founder, ImmuneWatch BV

Sander leads ImmuneWatch, an immunoinformatics company specialising in machine learning-driven TCR analysis. Holding a PhD in Bioscience Engineering, he combines deep expertise in computational biology, genomics and machine learning to bridge the gap between complex biological data and actionable scientific insight. At ImmuneWatch, he leads a team dedicated to mapping TCR sequence data to antigen specificities, accelerating the development of precision immunotherapies, vaccines and biomarkers.

Ready to decode your T-cell responses?

Whether you are mapping antigen-specific responses, characterising a T-cell therapy product or searching for TCR biomarkers, our specialists will help you design a single cell workflow built around your research question.

Talk to our team

Learn more about ImmuneWatch at immunewatch.com.

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