HuMuSC

Human muscle-derived CLEC14A-positive cells regenerate muscle independent of PAX7

Andreas Marg¹, Helena Escobar^1,2, Nikos Karaiskos^2,3, Stefanie A. Grunwald¹, Eric Metzler¹, Janine Kieshauer^1,2, Sascha Sauer^3,4, Diana Pasemann⁵, Edoardo Malfatti^6,7, Dominique Mompoint⁶, Susanna Quijano-Roy^6,7, Anastasiya Boltengagen^2,3, Joanna Schneider^1,4, Séverine Kunz², Robert Carlier^6,7, Carmen Birchmeier², Andreas Spuler⁸, Helge Amthor^6,7, Christine Kocks^2,3, Nikolaus Rajewsky^2,3, Simone Spuler^1,2*,

¹ Muscle Research Unit, Experimental and Clinical Research Center, a joint cooperation of Charité, Universitätsmedizin Berlin and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
² Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
³ Systems Biology of Gene-Regulatory Elements, Berlin Institute of Medical Systems Biology (BIMSB) at the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
⁴ Berlin Institute of Health, Berlin, Germany
⁵ Dept. of Nuclear Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
⁶ INSERM U1179, Université de Versailles Saint-Quentin-en-Yvelines, Versailles, France
⁷ Hôpital Universitaire Raymond Poincare, Garches, France
⁸ Dept. of Neurosurgery, HELIOS Klinikum Berlin-Buch, Berlin, Germany

^# Corresponding author: Simone Spuler

This online database/tool is created and maintained by Nikos Karaiskos.

Features

The following features are currently supported in the atlas:

• Clustering of the single-cell RNA sequencing data for the PAX7 positive and negative populations of every donor together with the PAX7null. A 2D tSNE representation of the cell clustering is shown. Clustering can be queried for the expression of a given gene. Gene symbols are required.
• The clustering is supported from violin plots, showing expression of the selected genes along the cell clusters.
• The "PAX7pos All Donors" and "PAX7neg All Donors" tabs show the clusterings of all Donors as shown in the supplement. The format is the same as described above.

Data availability

The raw (fastq files), as well as processed data (digital gene expression matrices for each patient) is available at the GEO database under the accsession number GSE117382. The normalized counts for the bulk data can be directly downloaded as an Excel sheet here.

Genome tracks

Genome tracks for every cell population are available here.

Release notes

• 19 July 2018: database goes public, genome tracks added.

• 24 May 2018: database goes online.