Single-cell sequencing and analysis reveals a whole world of information contained in each individual cell. Spatial technologies allow that cellular information to be mapped back to its original tissue context. The past 12 months have seen a surge in the integration of these two rapidly evolving technologies, allowing researchers to study biology and disease like never before.
In our latest report, we explore the recent advances in single-cell and spatial analysis and examine how these two high-resolution technologies are becoming more and more integrated.
What’s included in the report?
- Exclusive insights from expert contributors
- Case studies on single-cell proteomics and cancer diagnosis using spatial transcriptomics
- A panel discussion on the latest developments in single-cell and spatial analysis
- Interviews about single-cell temporal analysis, single-cell and spatial in drug development and the future of single-cell and spatial
- A round-up of the most impactful literature of the past 12 months
- An overview of the latest options available for technologies and data analysis
- The applications, current challenges and what’s next for single-cell and spatial analysis
Report contributors include:
- Alastair Lamb, Cancer Research UK Clinician Scientist, University of Oxford
- Alex Tamburino, Director of Spatial Transcriptomics and Single Cell Multi-Omics Sequencing, Merck Research Labs
- Alison Finall, Clinical Academic Pathologist, Swansea University
- Andreas Mund, Associate Professor, Novo Nordisk Foundation Center for Protein Research (University of Copenhagen)
- Anna Wilbrey-Clark, Staff Scientist, Wellcome Sanger Institute
- Christoph Kuppe, Medical Doctor, RWTH Aachen University
- Daniel Schraivogel, Research Staff Scientist, European Molecular Biology Laboratory (EMBL)
- Fei Chen, Core Institute Member, Broad Institute of MIT and Harvard
- Jeffrey Moffitt, Assistant Professor, Harvard Medical School
- Kerstin Meyer, Principal Staff Scientist, Wellcome Sanger Institute
- Linlin Chen, Graduate Student, California Institute of Technology
- Luciano Martelotto, Head of Single-cell & Spatial-Omics Development Lab, Adelaide Centre for Epigenetics
- Mathew Chamberlain, Senior Scientist, Janssen
- Nikolai Slavov, Associate Professor, Northeastern University
- Orane Guillaume-Gentil, Senior Scientist, ETH Zurich
- Rebecca Mathew, Principal Scientist, Merck Research Labs
- Sanja Vicković, Core Faculty Member and Director, Technology Innovation Lab, New York Genome Center
- Wanze Chen, Principal Investigator, Shenzhen Institute of Advanced Technology
Chapter 1: An introduction to single-cell and spatial analysis
In this chapter, we will cover the fundamentals of single-cell and spatial analysis. The technologies that form the foundation of these fields, including single-cell and spatial transcriptomics, will be explored.
Chapter 2: Tools of the trade
Tools of the trade covers some of the most recent, commercially available options for hardware and technologies. This chapter will help you get the most out of your experimental time, also including a panel discussion detailing how experts in the field perform their analysis.
Chapter 3: Data analysis
Getting the most out of single-cell and spatial data requires sophisticated statistical analysis approaches. In this chapter, we cover the main steps to achieving effective data analysis, along with the tools and platforms that are available to help.
Chapter 4: Single-cell temporal analysis
Temporal analysis offers an extra dimension in single-cell and spatial research. This chapter covers this new and rapidly evolving field with contributions from the authors of recent landmark papers.
Chapter 5: Single-cell proteomics
Expanding beyond nucleic acids, this chapter introduces proteomics into single-cell and spatial analysis. Here, the recent history and development of the field is covered, and a case study details how single-cell proteomics can be integrated spatially.
Chapter 6: Applications of single-cell and spatial analysis
How can single-cell and spatial analysis research be applied to solve real-world problems? This chapter highlights the progression of applications that have been facilitated by single-cell and spatial analysis.
Chapter 7: Literature round-up
A round-up of the most read, downloaded and cited research papers in single-cell and spatial analysis over the past 12 months. Alongside this are the voices of some of the authors that wrote them.
Chapter 8: Current challenges and future perspectives
How can we solve the current challenges in single-cell and spatial and where do we go next? This chapter covers what you might expect to see in the next 12 months, and what you might be seeing in the more distant future.
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