Heterogeneous and novel transcript expression in single cells of patient-derived clear cell renal cell carcinoma organoids

  1. Abdullah Kahraman3,6
  1. 1Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland;
  2. 2Department of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland;
  3. 3Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland;
  4. 4Functional Genomics Center Zurich, ETH, 8057 Zurich, Switzerland;
  5. 5Centre for AI, School of Engineering, Zurich University of Applied Sciences (ZHAW), 8400 Winterthur, Switzerland;
  6. 6School for Life Sciences, Institute for Chemistry and Bioanalytics, University of Applied Sciences Northwestern Switzerland, 4132 Muttenz, Switzerland
  1. 7 These authors are joint first authors and contributed equally to this work.

  • Corresponding author: abdullah.kahraman{at}fhnw.ch
  • Abstract

    Splicing is often dysregulated in cancer, leading to alterations in the expression of canonical and alternatively spliced isoforms. We used the multiplexed arrays sequencing (MAS-seq) protocol of PacBio to sequence full-length transcripts in patient-derived organoid (PDO) cells of clear cell renal cell carcinoma (ccRCC). The sequencing revealed a heterogeneous dysregulation of splicing across 2599 single ccRCC cells. The majority of novel transcripts could be removed with stringent filtering criteria. The remaining 31,531 transcripts (36.6% of the 86,182 detected transcripts on average) were previously uncharacterized. In contrast to known transcripts, many of the novel transcripts have cell-specific expression. Novel transcripts common to ccRCC cells belong to genes involved in ccRCC-related pathways, such as hypoxia and oxidative phosphorylation. A novel transcript of the ccRCC-related gene nicotinamide N-methyltransferase is validated using PCR. Moreover, >50% of novel transcripts possess a predicted complete protein-coding open reading frame. An analysis of the most dominant transcript-switching events between ccRCC and non-ccRCC cells shows many switching events that are cell- and sample-specific, underscoring the heterogeneity of alternative splicing events in ccRCC. Overall, our study elucidates the intricate transcriptomic architecture of ccRCC, underlying its aggressive phenotype and providing insights into its molecular complexity.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.279345.124.

    • Freely available online through the Genome Research Open Access option.

    • Received March 15, 2024.
    • Accepted February 20, 2025.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at https://creativecommons.org/licenses/by-nc/4.0/.

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