Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state.
Thomas F BarrettBhuvic PatelSaad M KhanRiley D Z MullinsAldrin K Y YimSangami PugazenthiTatenda MahlokozeraGregory J ZipfelJacques A HerzogMichael R ChicoineCameron C WickNedim DurakovicJoshua W OsbunMatthew ShewAlex D SweeneyAkash J PatelCraig A BuchmanAllegra A PettiSidharth V PuramAlbert H KimPublished in: Nature communications (2024)
Vestibular schwannomas (VS) are benign tumors that lead to significant neurologic and otologic morbidity. How VS heterogeneity and the tumor microenvironment (TME) contribute to VS pathogenesis remains poorly understood. In this study, we perform scRNA-seq on 15 VS, with paired scATAC-seq (n = 6) and exome sequencing (n = 12). We identify diverse Schwann cell (SC), stromal, and immune populations in the VS TME and find that repair-like and MHC-II antigen-presenting SCs are associated with myeloid cell infiltrate, implicating a nerve injury-like process. Deconvolution analysis of RNA-expression data from 175 tumors reveals Injury-like tumors are associated with larger tumor size, and scATAC-seq identifies transcription factors associated with nerve repair SCs from Injury-like tumors. Ligand-receptor analysis and in vitro experiments suggest that Injury-like VS-SCs recruit myeloid cells via CSF1 signaling. Our study indicates that Injury-like SCs may cause tumor growth via myeloid cell recruitment and identifies molecular pathways that may be therapeutically targeted.
Keyphrases
- single cell
- rna seq
- genome wide
- high throughput
- bone marrow
- acute myeloid leukemia
- cell therapy
- induced apoptosis
- poor prognosis
- peripheral nerve
- climate change
- stem cells
- machine learning
- oxidative stress
- immune response
- copy number
- risk assessment
- signaling pathway
- cell death
- human health
- artificial intelligence
- mesenchymal stem cells
- binding protein
- data analysis