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Biology subjects

Hoellerbauer, P.

Publications and source records attributed to Hoellerbauer, P..

6 recordsLinked to original sources

Functional genomic analysis of adult and pediatric brain tumor isolates

BackgroundAdult and pediatric tumors display stark differences in their mutation spectra and chromosome alterations. Here, we attempted to identify common and unique gene dependencies and their associated biomarkers among adult and pediatric tumor isolates using functional genetic lethal screens and computational modeling. MethodsWe performed CRISRP-Cas9 lethality screens in two adult glioblastoma (GBM) tumor isolates and five pediatric brain tumor isolates representing atypical teratoid rhabdoid tumors (ATRT), diffuse intrinsic pontine glioma, GBM, and medulloblastoma. We then integrated the screen results with machine learning-based gene-dependency models generated from data from >900 cancer cell lines. ResultsWe found that >50% of candidate dependencies of 280 identified were shared between adult GBM tumors and individual pediatric tumor isolates. 68% of screen hits were found as nodes in our network models, along with shared and tumor-specific predictors of gene dependencies. We investigated network predictors associated with ADAR, EFR3A, FGFR1 (pediatric-specific), and SMARCC2 (ATRT-specific) gene dependency among our tumor isolates. ConclusionsThe results suggest that, despite harboring disparate genomic signatures, adult and pediatric tumor isolates share a preponderance of genetic dependences. Further, combining data from primary brain tumor lethality screens with large cancer cell line datasets produced valuable insights into biomarkers of gene dependency, even for rare cancers. Importance of the StudyOur results demonstrate that large cancer cell lines data sets can be computationally mined to identify known and novel gene dependency relationships in adult and pediatric human brain tumor isolates. Gene dependency networks and lethality screen results represent a key resource for neuro-oncology and cancer research communities. We also highlight some of the challenges and limitations of this approach.

cancer biology↗

FBXO42 activity is required to prevent mitotic arrest, spindle assembly checkpoint activation, and lethality in glioblastoma and other cancers

Glioblastoma (GBM) is the most common and aggressive brain tumor in adults. To identify genes differentially required for the viability of GBM stem-like cells (GSCs), we performed functional genomic lethality screens comparing GSCs and control human neural stem cells. Among top scoring hits in a subset of GBM cells was the F-box-containing gene FBXO42, which was also essential in [~]15% of cell lines derived from a broad range of cancers. Mechanistic studies revealed that, in sensitive cells, FBXO42 activity prevents chromosome alignment defects, mitotic cell cycle arrest, and cell death. The cell cycle arrest, but not the cell death, triggered by FBXO42 inactivation could be suppressed by brief exposure to a chemical inhibitor of Mps1, a key spindle assembly checkpoint (SAC) kinase. FBXO42s cancer-essential function requires its F-box and Kelch domains, which are necessary for FBXO42s substrate recognition and targeting by SCF ubiquitin ligase complex. However, none of FBXO42s previously proposed targets, including ING4, p53, and RBPJ, were responsible for the observed phenotypes. Instead, our results suggest that FBOX42 activity suppresses the accumulation of one or more proteins that perturb chromosome-microtubule dynamics in cancer cells, which, in turn, leads to induction of the SAC and cell death.

cancer biology↗

KAT5 activity regulates G0-like states in human gliomas

In solid tumors, G0-like states are likely critical for maintaining developmental hierarchies and cellular heterogeneity and promoting tumor growth/recurrence, yet little is known about tumor G0 states or regulation of their ingress/egress. To discover G0-like states and their regulators for glioblastoma (GBM), we analyzed G0 populations in an orthotopic model of GBM using single cell RNA-seq and performed a genome-wide CRISPR-Cas9 screen in patient-derived GBM stem-like cells (GSCs) for genes that trap cells in G0 when inhibited. We identify the protein acetyltransferase KAT5 as a key regulator of transcriptional, epigenetic, and proliferative heterogeneity impacting transitions into G0-like states. KAT5 activity suppresses the emergence of non-dividing subpopulations with oligodendrocyte progenitor and radial glial cell characteristics both in vitro and in a human GSC brain tumor model. In primary gliomas, KAT5 activity is dynamic with KAT5low tumor cells displaying quiescent properties, while KAT5 activity overall increases from low to high grade tumors and is associated with worse patient outcomes.

cancer biology↗

Mitochondrial Redox Adaptations Enable Aspartate Synthesis in SDH-deficient Cells

The oxidative tricarboxylic acid (TCA) cycle is a central mitochondrial pathway integrating catabolic conversions of NAD+ to NADH and anabolic production of aspartate, a key amino acid for cell proliferation. Several TCA cycle components are implicated in tumorigenesis, including loss of function mutations in subunits of succinate dehydrogenase (SDH), also known as complex II of the electron transport chain (ETC). Mechanistic understanding of how proliferating cells tolerate the metabolic defects of SDH loss is still lacking. Here, we identify that SDH supports cell proliferation through aspartate synthesis but, unlike other ETC impairments, is not restored by electron acceptor supplementation. Interestingly, we find aspartate production and cell proliferation are restored to SDH impaired cells by concomitant inhibition of ETC complex I (CI). We determine that the benefits of CI inhibition in this context are dependent on decreasing mitochondrial NAD+/NADH, which drives SDH-independent aspartate production. We also find that genetic loss or restoration of SDH selects for cells with concordant CI activity, establishing distinct modalities of mitochondrial metabolism for maintaining aspartate synthesis. Collectively, these data identify a metabolically beneficial mechanism for CI loss in proliferating cells and reveal that compartmentalized redox changes can impact cellular fitness.

biochemistry↗

A simple and highly efficient method for multi-allelic CRISPR-Cas9 editing in primary cell cultures

ABSTRACTBackground CRISPR-Cas9-based technologies have revolutionized experimental manipulation of mammalian genomes. None-the-less, limitations of the delivery and efficacy of these technologies restrict their application in primary cells.Aims To create an optimized protocol for penetrant, reproducible, and fast targeted insertiondeletion mutation (indel) formation in cell cultures derived from primary cells, using patient-derived glioblastoma (GBM) stem-like cells (GSCs) and human neural stem/progenitor cells (NSCs) for proof-of-concept experiments.Methods We employed transient nucleofection of Cas9:sgRNA ribonucleoprotein complexes using chemically synthesized 2’-O-methyl 3’phosphorothioate-modified sgRNAs and purified Cas9 protein. Indel frequency and size distribution were measured via computational deconvolution of Sanger sequencing trace data. Western blotting was used to evaluate protein loss. RNA-seq in edited NSCs was used to assess gene expression changes resulting from knockout of tumor suppressors commonly altered in GBM.Results We found that with this optimized technique, we can routinely achieve >90% indel formation in only 3 days, without the need to create clonal lines for simple loss-of-function experiments. We observed near-total protein loss of target genes in cell pools. Additionally, we found that this approach allows for the creation of targeted genomic deletions. We also demonstrated the utility of this method for quickly creating a series of gene knockouts that allow for the study of oncogenic activities.Conclusion Our data suggest that this relatively simple method can be used for highly efficient and fast gene knockout, as well as for targeted genomic deletions, even in hyperdiploid cells (such as GSCs). This represents an extremely useful tool for the cancer research community when wishing to inactivate not only coding genes, but also non-coding RNAs, UTRs, enhancers, and promoters. This method can be readily applied to diverse cell types by varying the nucleofection conditions.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cell biology↗

CRISPR-Cas9 Screens Reveal Genes Regulating a G0-like State in Human Neural Progenitors

Single cell RNA-seq has emerged as a powerful tool for resolving cellular states associated with normal and maligned developmental processes. Here, we used scRNA-seq to examine the cell cycle states of expanding human neural stem cells (hNSCs). From this data, we created a cell cycle classifier, which, in addition to traditional cell cycle phases, also identifies a putative quiescent-like state in neuroepithelial-derived cell types during mammalian neurogenesis and in gliomas. This state, Neural G0, is enriched for expression of quiescent NSC genes and other neurodevelopmental markers found in non-dividing neural progenitors. For gliomas, Neural G0 cell populations and gene expression is significantly associated with less aggressive tumors and extended patient survival. Genetic screens to identify modulators of Neural G0 revealed that knockout of genes associated with the Hippo/Yap and p53 pathways diminished Neural G0 in vitro, resulting in faster G1 transit, down regulation of quiescence-associated markers, and loss of Neural G0 gene expression. Thus, Neural G0 represents a dynamic quiescent-like state found in neuro-epithelial derived cells and gliomas.

cell biology↗