Single-cell transcriptomics of transgenic zebrafish lines

Background

Diffuse midline gliomas (DMGs) are paediatric brain tumours that affect over 2,000 children in Europe and the United States every year1. These tumours are typically diagnosed in the brainstem and less often in the midbrain, spine, and thalamus with clinical symptoms such as facial asymmetry, dysarthria, ataxia, decreased strength and hyperreflexia. Patients have very high mortality, with the median survival being only 9-11 months, and 90% of children die within two years of diagnosis. Chemotherapy is the standard treatment used for DMGs2.

The increased availability of tumour tissue through diagnostic biopsies and post-mortem tumour specimen donations, coupled with the advancement in genomic profiling, has facilitated an increased molecular understanding of this fatal disease3–5. The genomic landscape of DMGs reveals a somatic hotspot mutation in a histone H3 isoform (eg, H3.3K27M) and about 20 additional driver mutations (eg, TP53 in 70% of H3.3K27M-mutant patients, and ACVR1 in 80% of H3.1K27M-mutant patients)1,3,6–8. Several studies have suggested oligodendrocyte progenitor cells (OPC) and neural stem/progenitor cells (NSC) as the likely cell of origin of H3K27M-mutant DMGs5,9–11. However, it is currently unclear when during brain development, initial somatic mutations arise in DMGs.

Zebrafish (Danio rerio) has become a popular model organism in oncology12,13. Over 70% of human genes have orthologues in the zebrafish genome, and the percentage goes up to 82% if one considers disease-related genes14. Zebrafish cancer models can further be used to investigate the origin of tumour cells, tumour cell migration, proliferation, and microenvironment interactions15–17.

The laboratory is currently generating transgenic H3.3K27M-mutant zebrafish lines expressed under different promoters representing different cell types. Therefore, we seek a highly motivated master’s student who would help characterise these lines at single-cell resolution.

Project description

The project's objective is to characterise three genetically engineered zebrafish models driven under the control of promoters thought to be the cellular origin of H3K27M DMGs at different developmental stages. This will serve as a reference atlas for comparing the transcriptomic changes that occur during tumourigenesis and predicting which promoter-expressing cell populations give rise to DMG tumours in the subsequent experiments involving promoter-specific expression of the H3K27M mutation.

Methods

The methods utilised in this project include zebrafish engineering, genotyping, fluorescence-activated cell sorting (FACS), fluorescent imaging, mRNA isolation, RT-qPCR, and single-cell transcriptomics with the 10x Genomics technology.

Research Environment and Supervision

The project will be carried out at the Computational Oncology Group at the Centre for Molecular Medicine Norway (NCMM) with office/lab space at the Forksningsparken (https://waszaklab.org). The students will be supervised by Dr Nancy Saana Banono (NCMM, project supervisor), Prof Sebastian Martin Waszak (NCMM, main supervisor), and Prof Sandra Lopez Aviles (IBV Section for Biochemistry and Molecular Biology, internal supervisor). If you have any questions, please contact Nancy (n.s.banono@ncmm.uio.no) and Sebastian (waszak@ncmm.uio.no).

References

1.         Mackay, A. et al. Integrated Molecular Meta-Analysis of 1,000 Pediatric High-Grade and Diffuse Intrinsic Pontine Glioma. Cancer Cell 32, 520-537.e5 (2017).

2.         Findlay, I. J. et al. Pharmaco-proteogenomic profiling of pediatric diffuse midline glioma to inform future treatment strategies. Oncogene 41, 461–475 (2022).

3.         Buczkowicz, P. et al. Genomic analysis of diffuse intrinsic pontine gliomas identifies three molecular subgroups and recurrent activating ACVR1 mutations. Nat. Genet. 46, 451–456 (2014).

4.         Hoffman, L. M. et al. Clinical, Radiologic, Pathologic, and Molecular Characteristics of Long-Term Survivors of Diffuse Intrinsic Pontine Glioma (DIPG): A Collaborative Report From the International and European Society for Pediatric Oncology DIPG Registries. J. Clin. Oncol. 36, 1963–1972 (2018).

5.         Nikbakht, H. et al. Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma. Nat. Commun. 7, 11185 (2016).

6.         Lulla, R. R., Saratsis, A. M. & Hashizume, R. Mutations in chromatin machinery and pediatric high-grade glioma. Sci. Adv. 2, e1501354 (2016).

7.         Schwartzentruber, J. et al. Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma. Nature 482, 226–231 (2012).

8.         Sturm, D. et al. Hotspot Mutations in H3F3A and IDH1 Define Distinct Epigenetic and Biological Subgroups of Glioblastoma. Cancer Cell 22, 425–437 (2012).

9.         Haag, D. et al. H3.3-K27M drives neural stem cell-specific gliomagenesis in a human iPSC-derived model. Cancer Cell 39, 407-422.e13 (2021).

10.       Koschmann, C. et al. Multi-focal sequencing of a diffuse intrinsic pontine glioma establishes PTEN loss as an early event. Npj Precis. Oncol. 1, 1–4 (2017).

11.       Vinci, M. et al. Functional diversity and cooperativity between subclonal populations of pediatric glioblastoma and diffuse intrinsic pontine glioma cells. Nat. Med. 24, 1204–1215 (2018).

12.       Berghmans, S. et al. tp53 mutant zebrafish develop malignant peripheral nerve sheath tumors. Proc. Natl. Acad. Sci. 102, 407–412 (2005).

13.       Casey, M. J. & Stewart, R. A. Pediatric Cancer Models in Zebrafish. Trends Cancer 6, 407–418 (2020).

14.       Howe, K. et al. The zebrafish reference genome sequence and its relationship to the human genome. Nature 496, 498–503 (2013).

15.       Graf, M. et al. Single-cell transcriptomics identifies potential cells of origin of MYC rhabdoid tumors. Nat. Commun. 13, 1544 (2022).

16.       Loveless, R., Shay, C. & Teng, Y. Unveiling Tumor Microenvironment Interactions Using Zebrafish Models. Front. Mol. Biosci. 7, 611847 (2021).

17.       Weiss, J. M. et al. Anatomic position determines oncogenic specificity in melanoma. Nature 1–8 (2022) doi:10.1038/s41586-022-04584-6.

Publisert 29. sep. 2022 15:31 - Sist endret 29. sep. 2022 15:31

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