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Project

Developing Tools and Standards for Integration of Multidimensional Human Cell Atlas Data


Focus Methods Focus, Urinary
Method Epigenetic Sequencing, Single Cell Transcriptomics, Spatial Genomics

Project Summary

This network proposes a benchmarking framework to generate guidelines, technologies, quality metrics, and new computational tools that will serve as a compass for the Human Cell Atlas’s generation of reproducible and high-quality tissue atlases.


Results & Resources

This group developed tools to integrate single-cell data for multidimensional analysis, starting with mouse kidney samples. They improved zUMIs and powsimR — data processing pipelines designed to reduce ambient RNA in single-cell RNA sequencing data, a crucial problem in single-cell data analysis. This group published SPOTlight, a tool to deconvolute cell types and proportions from tissue sections at the single-cell resolution.


Investigators

Co-Principal Investigators
Piero Carninci, PhD
Piero Carninci, PhD
Wolfgang Enard, PhD
Wolfgang Enard, PhD

Samouil Farhi, PhD
Samouil Farhi, PhD
Ernest Fraenkel, PhD
Ernest Fraenkel, PhD

Holger Heyn, PhD
Holger Heyn, PhD
Matthias Kretzler, MD
Matthias Kretzler, MD

Joshua Levin, PhD
Joshua Levin, PhD
Thierry Voet, PhD
Thierry Voet, PhD

Collaborators
Menna Clatworthy, MBBCh, PhD, FRCP
Menna Clatworthy, MBBCh, PhD, FRCP
Anna Greka, MD, PhD
Anna Greka, MD, PhD

Aviv Regev, PhD
Aviv Regev, PhD
Orit Rozenblatt-Rosen, PhD, MSc
Orit Rozenblatt-Rosen, PhD, MSc

Sarah Teichmann, PhD
Sarah Teichmann, PhD