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Slotta-Huspenina, J.

Publications and source records attributed to Slotta-Huspenina, J..

2 recordsLinked to original sources

Intestinal myofibroblasts regulate intestinal epithelial cell plasticity via YAP/TAZ

Intestinal stromal cells play a key role as the crypt niche cells during epithelial homeostasis and tumor initiation. However, the underlying cellular and molecular mechanisms remain unclear. We developed various types of three-dimensional (3D) tissue culture models to culture small intestinal myofibroblasts (SI MFs) together with enteroids. SI MFs significantly enhanced self-renewal, lumen formation and survival of enteroids, that was mediated via a paracrine mechanism in a Wnt-independent manner. Such co-cultured enteroids resembled SI organoids derived from Apc+/1638N tumors. Microarray analysis showed upregulation of genes associated with YAP signaling in enteroids co-cultured with SI MFs, which was confirmed by protein quantification by mass spectrometry and could be correlated with findings from human colorectal tumor specimens. Mass spectrometric analysis of conditioned media and inhibitor studies pointed to a role for TGF-{beta} in the SI MF-SI epithelium cross-talk. Altogether, utilizing different 3D stroma-epithelium co-culture models, we demonstrate here that SI MFs have the potential to induce a tumor-like phenotype in the intestinal crypts via a paracrine mechanism, that involves YAP and TGF-{beta}, but not canonical Wnt signaling.

cell biology↗

Proteogenomic analysis reveals RNA as an important source for tumor-agnostic neoantigen identification correlating with T-cell infiltration

Systemic pan-tumor analyses may reveal the significance of common features implicated in cancer immunogenicity and patient survival. Here, we provide a comprehensive multi-omics data set for 32 patients across 25 tumor types by combining proteogenomics with phenotypic and functional analyses. By using an optimized computational approach, we discovered a large number of novel tumor-specific and tumor-associated antigens including shared common target candidates. To create a pipeline for the identification of neoantigens in our cohort, we combined deep DNA and RNA sequencing with MS- based immunopeptidomics of tumor specimens, followed by the assessment of their immunogenicity. In fact, we could detect a broad variety of non-wild type HLA-binding peptides in the majority of patients and confirmed the immunogenicity of 24 neoantigens. Most interestingly, the majority of total and immunogenic neoantigens originated from variants identified in the RNA dataset, illustrating the importance of RNA as a still understudied source of cancer antigens. Moreover, the amount of these mainly RNA-based immunogenic neoantigens correlated positively with overall CD8+ tumor-infiltrating T cells. This study therefore underlines the importance of RNA-centered variant detection for the identification of shared biomarkers and potentially relevant neoantigen candidates. Statement of significanceThe significance of this study lies not only in the potential of our optimized proteogenomic workflow for the discovery of neoantigens (in particular RNA-derived neoantigens) for clinical application, but sheds light on the entity-agnostic prevalence of HLA class I peptide presentation of RNA processing events to be used for tumor targeting.

cancer biology↗