XenoCell

The software tool 'XenoCell' addresses the challenge of distinguishing between host and graft sequence reads in single-cell sequencing experiments involving xenografts of patient-derived biopsies (PDX). This scenario involves the presence of cells from both the host and the graft, making it difficult to deconvolve their genomic information. 'XenoCell' is introduced as a standalone pre-processing tool capable of rapidly and reliably classifying cellular barcodes originating from the host and graft. The tool's efficacy is demonstrated through applications on mixed-species cell line experiments and a publicly available PDX dataset obtained via Drop-Seq. 'XenoCell' effectively disentangles sequence reads from a diverse range of host and graft species combinations, as well as various single-cell experiment platforms.

Topic

RNA-Seq;Gene expression

Detail

  • Operation: Sequencing quality control

  • Software interface: Command-line user inteface

  • Language: Python

  • License: The MIT licence

  • Cost: Free

  • Version name: -

  • Credit: Italian Ministry of Health, Fondazione Umberto Veronesi, European Research Council.

  • Input: -

  • Output: -

  • Contact: Pier Giuseppe Pelicci piergiuseppe.pelicci@ieo.it

  • Collection: -

  • Maturity: -

Publications

  • XenoCell: classification of cellular barcodes in single cell experiments from xenograft samples
  • Cheloni S, Hillje R, Luzi L, Pelicci PG, Gatti E. XenoCell: classification of cellular barcodes in single cell experiments from xenograft samples. BMC Med Genomics. 2021 Jan 29;14(1):34. doi: 10.1186/s12920-021-00872-8. PMID: 33514375; PMCID: PMC7847033.
  • https://doi.org/10.1186/s12920-021-00872-8
  • PMID: 33514375
  • PMC: PMC7847033

Download and documentation


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