Guide for Single-Cell and Spatial Analysis
The rapidly evolving fields of single-cell and spatial omics are revolutionising our understanding of biology, but many researchers find it challenging to achieve the best possible results in their experiments. To address this issue, a new report titled the Single-Cell and Spatial Playbook has been released, offering unique expert insights, tools, and ideas to solve common challenges.
This free-to-download report, accessible via Facebook, Twitter, LinkedIn, or direct download, provides a wealth of information on the latest advancements in the field. It covers topics such as single-cell and spatial multi-omics, artificial intelligence and machine learning tools, data analysis, and translation to the clinical setting.
Experts in the field have contributed to the Playbook, offering their valuable perspectives. For instance, Luciano Martelotto, Associate Professor and Head of the Development Laboratory at the Adelaide Centre for Epigenetics, emphasises the importance of a standard operating procedure for achieving reproducibility. Julienne L. Carstens, Assistant Professor at the University of Alabama at Birmingham, underscores the importance of technical and biological replicates for compensating for noise in reproducibility.
Adam Bryce, Clinical Research Fellow at the School of Cancer Sciences, University of Glasgow, predicts a shift towards a weakly supervised or entirely unsupervised approach aided by AI and ML for translating single-cell and spatial proteomics to the clinic. Mitro Miihkinen, Senior Researcher in the Aittokallio Group at FIMM, HiLIFE, iCAN, University of Helsinki, advocates for clear guidelines and open-data benchmarks for standardizing single-cell and spatial data analysis.
The Playbook also provides advice and solutions for reproducibility in sample prep, challenges in proteomics, and standardization in single-cell and spatial data analysis. It is important to note that spatial biology techniques are exponentially advancing, making it crucial for researchers to stay updated with the latest developments.
If you are struggling to find the Single-Cell and Spatial Playbook, you may want to check the websites of major single-cell and spatial biology organisations, such as 10x Genomics, NanoString, Bio-Rad, etc., as they sometimes release technical guides and playbooks. You could also search for recent publications or white papers on repositories like bioRxiv, Figshare, or institutional repositories, or look for educational webinars or workshops that might include downloadable resources.
In conclusion, the Single-Cell and Spatial Playbook is a valuable resource for researchers looking to optimise their results in single-cell and spatial experiments. By providing insights into the latest advancements in the field, this report aims to help researchers keep up-to-date and overcome fundamental challenges in refining and standardising these technologies.
- The Single-Cell and Spatial Playbook, a free-to-download report, discusses the latest advancements in single-cell and spatial multi-omics, providing insights into the future of health-and-wellness, medical-conditions, and technology.
- Luciano Martelotto, Associate Professor, suggests a standard operating procedure for achieving reproducibility in experiments, which is one of the topics covered in the Playbook.
- Adam Bryce, Clinical Research Fellow, predicts a shift towards AI and ML-assisted approaches for translating single-cell and spatial proteomics to the clinical setting, a challenge addressed in the report.
- Mitro Miihkinen, Senior Researcher, advocates for clear guidelines and open-data benchmarks for standardizing single-cell and spatial data analysis, another key emphasis in the Playbook.
- Researchers can find the Playbook on websites of major single-cell and spatial biology organisations or look for recent publications, white papers, webinars, or workshops that might include downloadable resources.
