Biology subjects

Cho, H. J.

Publications and source records attributed to Cho, H. J..

7 recordsLinked to original sources

bioRxiv2020

Spatial heterogeneity of glioblastoma cells reveals sensitivity to NAD+ depletion at tumor edge

Even after total resection of glioblastoma core lesions by surgery and aggressive post-surgical treatments, life-threatening tumors inevitably recur. A characteristic obstacle in effective treatment is high intratumoral heterogeneity, both longitudinally and spatially. Recurrence occurs predominantly at the brain parenchyma-tumor core interface, a region termed tumor edge. Given the difficulty of accessing it surgically, the composition of the tumor edge, harboring both cancerous and non-cancerous cells, remains largely unknown. Here, to identify phenotypic diversity among heterogeneous glioblastoma core and edge lesions, we uncovered the existence of three phenotypically-distinct clonal subpopulations within individual tumors from glioblastoma patients. Clones from the tumor core shared the same phenotype, exclusively generating tumor-core cells. In contrast, two distinct clonal subtypes were identified at the tumor edge: one generated only edge-lesion cells and the other expanded more broadly to establish both edge- and core-lesions. Using multiple xenograft experimental models in mouse brains, tumor edge development was found to require that both somatic and tumor cells express the NADase CD38, combinedly elevating glioblastoma malignancy. In vitro data suggested that intracellular NADase activity at the edge was provoked through intercellular communication between edge clones and normal astrocytes. Systemic treatment of tumor-bearing mice with 78c, a small-molecule CD38 inhibitor, attenuated the formation of glioblastoma edge lesions, suggesting its clinical potential to pharmacologically eliminate tumor-edge lesions. Collectively, these findings provide novel phenotypic and mechanistic insights into clonal heterogeneity within glioblastoma, particularly in the surgically unresectable, currently understudied tumor edge.

cancer biology↗

bioRxiv2020

Bedshift: perturbation of genomic interval sets

Functional genomics experiments, like ChIP-Seq or ATAC-Seq, produce results that are summarized as a region set. Many tools have been developed to analyze region sets, including computing similarity metrics to compare them. However, there is no way to objectively evaluate the effectiveness of region set similarity metrics. In this paper we present Bedshift, a command-line tool and Python API to generate new BED files by making random perturbations to an original BED file. Perturbed files have known similarity to the original file and are therefore useful to benchmark similarity metrics. To demonstrate, we used Bedshift to create an evaluation dataset of hundreds of perturbed files generated by shifting, adding, and dropping regions from a reference BED file. Then, we compared four similarity metrics: Jaccard score, coverage score, Euclidean distance, and cosine similarity. Our results highlight differences in behavior among these metrics, such as that Jaccard score is most sensitive to added or dropped regions, while coverage score is most sensitive to shifted regions. Together, we show that Bedshift is a useful tool for creating randomized region sets for a variety of uses. AvailabilityBSD2-licensed source code and documentation can be found at https://bedshift.databio.org.

bioinformatics↗

bioRxiv2020

Tumor edge architecture in glioblastoma is constructed by inter-cellular signals from vascular endothelial cells

One of the hallmarks of glioblastoma (GBM) is extensive neovascularization. In addition to supplying blood and nutrients, vascular endothelial (VE) cells provide trophic support to GBM cells via paracrine signaling, the precise mechanisms of which are being unraveled. Here, using patient-derived GBM and VE cells as well as orthotopic GBM mouse models, we report that Endocan (ESM1), an endothelial-secreted proteoglycan, confers enhanced proliferative, migratory, and angiogenic properties to GBM cells and regulates their spatial identity. Mechanistically, Endocan exerts at least part of its functions via direct binding and activation of the PDGFRA receptor. Subsequent downstream signaling enhances chromatin accessibility of the Myc promoter and upregulates Myc expression inducing highly stable phenotypic changes in GBM cells. Furthermore, Endocan confers a radioprotection phenotype in GBM cells, both in vitro and in vivo. Inhibition of Endocan-PDGFRA signaling with ponatinib increases survival in the Esm1 wild-type but not in the Esm1 knock-out mouse GBM model. Our findings identify Endocan and its downstream signaling axis as a potential target to subdue the recurrence of GBM and further highlight the importance of vascular to tumor cell signaling for GBM biology. Significance statementIdentification of the Endocan/PDGFRA/Myc axis demonstrates an important role of VE cells in GBM malignancy. The contribution of Endocan to the development of GBM cell populations with different phenotypes reveal an additional pathway underlying the origin of GBM intratumoral heterogeneity. Targeting Endocan-mediated crosstalk may enhance the efficacy of GBM treatment.

cancer biology↗

bioRxiv2020

Tumor Edge-to-Core Transition Promotes Malignancy in Primary-to-Recurrent Glioblastoma Progression in a PLAGL1/CD109-mediated mechanism

BackgroundGlioblastoma remains highly lethal due to its inevitable recurrence. This recurrence is found locally in most cases, indicating that post-surgical tumor-initiating cells (TICs) accumulate at tumor edge. These edge TICs then generate recurrent tumors harboring new core lesions. Here, we investigated the clinical significance of the edge-to-core transition (ECT) signature causing glioblastoma recurrence and sought to identify central mediators for ECT. MethodsFirst, we examined the association of the ETC-related expression changes and patient outcome in matched primary and recurrent samples (n=37). Specifically, we tested whether the combined decrease of the edge TIC marker PROM1 (CD133) with the increase of the core TIC marker CD109 representing ECT during the primary-to-recurrence progression indicates poorer patient outcome. We then investigated the specific molecular mediators that trigger tumor recurrence driven by the ECT signature. Subsequently, the functional and translational significance of the identified molecule was validated within our patient-derived tumor edge-TIC models in vitro and in vivo. ResultsPatients exhibiting a CD133down/CD109up signature during recurrence representing ECT displayed a strong association with poorer progression-free survival and overall survival among all tested patients. Differential gene expression identified that PLAGL1 was tightly correlated with the core TIC marker CD109 and was linked to a shorter survival of glioblastoma patients. Experimentally, forced PLAGL1 overexpression enhanced, while its knockdown reduced, the glioblastoma edge-derived tumor growth in vivo and subsequent mouse survival, suggesting its essential role in the ECT-mediated glioblastoma development. ConclusionsECT is likely an ongoing lethal process in primary glioblastoma contributing to its recurrence partly in a PLAGL1/CD109-mediated mechanism. Key PointsO_LIECT is a pathobiological process contributing to glioblastoma lethality C_LIO_LIThe CD133down/CD109up signature is a novel prognostic molecular biomarker in ECT C_LIO_LIPLAGL1 regulates growth of edge-located tumor-initiating cells C_LI Importance of the StudyVery few studies have sought to longitudinally characterize the transition of molecular landscapes from primary to recurrent glioblastoma. Post-surgical edge-located TICs are presumably the predominant source of tumor recurrence, yet this cellular subpopulation in glioblastoma remains largely uncharacterized. This study evaluates the significance of glioblastoma edge-derived core transition (ECT) for tumor recurrence in the primary-recurrent paired sample set. We elucidate a prognostically-significant shift in molecular and cellular phenotypes associated with ECT in the CD133down/CD109up group. Moreover, our results provide clinical and experimental evidence that PLAGL1 is a mediator of glioblastoma ECT and its subsequent tumor development by the direct transcriptional regulation of the core TIC marker CD109.

cancer biology↗

bioRxiv2020

Single-cell analysis of human trophoblast stem cell specification reveals activation of fetal cytotrophoblast expression programs including coronavirus associated host factors and human endogenous retroviruses

The human placenta is increasingly a focus of research related to early child development and the impact of maternal hyperimmune states. Primary human trophoblast stem cells (hTSC) and human pluripotent stem cells (hPSC) differentiated to hTSC can potentially model placental processes in vitro. Yet, it remains controversial how the differentiation of human pluripotent stem cells to trophectoderm relates to in vivo development and the factors required for this differentiation. Here, we demonstrate that the primed pluripotent state retains potency to generate trophoblast stem cells by activating EGF and WNT and inhibiting TGFb, HDAC and ROCK signaling without exogenous BMP4 (named TS). We map this specification by temporal single cell RNAseq compared to activating BMP4 or activating BMP4 and inhibiting WNT. TS conditions generate a stable proliferating cell type that is highly similar to six-week placental cytotrophoblasts with activation of endogenous retroviral genes and without amnion expression. Multiple primed iPSC and ES lines differentiate to iPS-derived-TSCs that can be passaged for at least 30 passages and differentiate to pure populations of multinucleated syncytiotrophoblasts and extravillous trophoblast cells. Our findings establish that primed iPS cell specification to hTSC with TS conditions involves induction of TMSB4X, BMP5/7, GATA3 and TFAP2A without transitioning through a naive state. Collectively, our results suggest that the primed state is on a continuum of potency and can differentiate to trophoblast stem cells via multiple paths. Significance StatementIn the present study, we map the specification of primed induced pluripotent stem cells to trophoblast stem cells (TSC). Primed iPS-derived-TSC share transcriptional, morphological and functional characteristics with human ex vivo cytotrophoblasts including capacity of self-renewal and the ability to differentiate to pure extravillous and syncytiotrophoblasts. iPS-derived TSC display a uniquely active transcriptional network of human endogenous retroviruses similar to in vivo trophoblast. In addition, the fast conversion of primed iPSC to TSC allows for modeling placental diseases from large pluripotent stem cell cohorts which are traditionally banked at the primed state. Collectively, our results suggest that the primed state is on a continuum of potency which can differentiate to trophoblast stem cells via multiple paths.

developmental biology↗

bioRxiv2020

A hybrid Embden-Meyerhof-Parnas pathway provides a synthetic link between sugar and phosphate metabolism

The fundamental Embden–Meyerhoff–Paranas (EMP) pathway for sugar catabolism, anabolism, and energy metabolism has been reconstituted with non-oxidative glycolysis (NOG). Although carbon conservation was achieved via NOG, the energy metabolism was significantly limited. Herein, we showed the construction of a hybrid EMP that replaced the first phase of the EMP in Corynebacterium glutamicum with NOG and revealed a metabolic link of carbon and phosphorus metabolism. In accordance with synthetic glucose kinase activity and phosphoketolase on the hybrid EMP, cell growth was completely recovered in the C. glutamicum pfkA mutant strain where the first phase of EMP was eliminated. Notably, we have revealed a phosphate-replenishing pathway that involved trehalose biosynthesis for the generation of inorganic phosphate (Pi) sources in the hybrid EMP when external Pi supply was limited. Thus, the re-designed hybrid EMP pathway with balanced carbon and phosphorus states provides an efficient microbial platform for biochemical production.Competing Interest StatementThe authors have declared no competing interest.View Full Text

synthetic biology↗

bioRxiv2020

Patient Similarity Network of Newly Diagnosed Multiple Myeloma Identifies Patient Sub-groups with Distinct Genetic Features and Clinical Implications

The remarkable genetic heterogeneity of Multiple Myeloma (MM) poses a significant challenge for proper prognostication and clinical management of patients. Accurate dissection of the genetic and molecular landscape of the disease and the robust identification of homogeneous classes of patients are essential steps to reliable risk stratification and the development of novel precision medicine strategies. Here we introduce MM-PSN, the first multi-omics Patient Similarity Network of newly diagnosed MM. MM-PSN has enabled the identification of three broad patient groups and twelve distinct sub-groups defined by five data types generated from genomic and transcriptomic patient profiling of 655 patients. The MM-PSN classification uncovered novel associations between distinct MM hallmarks with significant prognostic implications and allowed further refinement of risk stratification. Our analysis revealed that gain of 1q is the most important single lesion conferring high risk of relapse, and its association with an MMSET translocation is the most significant determinant of poor outcome. We developed a classifier and validated these results in an independent dataset of 559 pts. Our findings suggest that gain of 1q should be incorporated in routine staging systems and risk assessment tools. The MM-PSN classifier is available as a free resource to allow for an easy implementation in most clinical settings.

cancer biology↗