scholarly journals EPEN-42. MOLECULAR PROFILING REVEALS DISTINCT SUBGROUPS OF PEDIATRIC SPINAL EPENDYMOMA

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii316-iii316
Author(s):  
Omar Ahmad ◽  
Rebecca Chapman ◽  
Lisa Storer ◽  
Li Luo ◽  
Linda Resar ◽  
...  

Abstract Paediatric spinal ependymomas are important, albeit uncommon, malignant central nervous system tumours. Unlike adults, children with these tumours are likely to experience a more aggressive disease course, with a higher rate of local failure and a higher rate of metastases. The clinical and molecular factors underlying these differences remain poorly characterized. We analyzed spinal ependymoma (SEPN) tumour samples from 27 paediatric patients (female: 11, male: 15; age range: 4–18 years) using genome-wide DNA methylation profiling, copy-number analysis, as well as transcriptome profiling. Using DNA methylation profiles, two distinct unsupervised consensus-clustering approaches, hierarchical clustering and non-negative matrix factorization reliably identified two subgroups. These subgroups were designated as Myxopapillary ependymomas (SP-MPE) and spinal ependymomas (SP-EPN) based on the online Classifier tool (MNP2.0). The genome-wide copy-number analysis showed differences in numbers and pattern of copy-number alterations between these groups. The gain of chromosome 20 (39%) followed by loss of chromosomes 6 (28%), 10 (28%), and 13 (28%) were detected in the SP-MPE group, whereas loss of chromosome 22 was frequent (60%) in the SP-EPN group. Transcriptomics analysis showed that genes associated with oxidative phosphorylation, TCA cycle components, electron transport, and Interferon-gamma production characterize the SP-MPE group whereas potassium ion import and regulation of astrocyte differentiation characterize the SP-EPN group. Western blot analysis validated the increased protein expression of oxidative phosphorylation complexes in SP-MPE. With this study, we provide a foundation for further molecular characterization of pediatric SEPN subgroups. Our results suggest that mitochondrial oxidative phosphorylation may drive the regulation of energy metabolism of SP-MPE tumours.

2019 ◽  
Vol 21 (Supplement_4) ◽  
pp. iv6-iv6
Author(s):  
Omar Ahmad ◽  
Rebecca Chapman ◽  
Lisa Storer ◽  
Li Luo ◽  
Linda Resar ◽  
...  

Abstract In contrast, compared to adults, spinal ependymomas (SEPN) are less common in childhood and adolescents. Children with these tumours are likely to experience a more aggressive disease course, with a higher rate of local failure, and a higher rate of metastasis. Presently the molecular basis of SEPN is poorly characterized. Therefore, we have analyzed 29 SEPN tumour samples from pediatric patients (female: 11, male: 15; age range: 4 – 21 years) and performed DNA methylation (n=28) and transcriptome profiling (n=29). Unsupervised analysis of methylation data reliably separated these tumours into two distinct groups: one group covering all myxopapillary ependymomas (MPE) and a second group dominated by grade II SPENs (SP-EPN). We identified 242 differentially methylated regions between these two groups, of which 56% showed high methylation levels in MPE, including 22 regions localized on chromosome 6. Genome-wide copy number analysis using methylation data showed differences in numbers and pattern of DNA copy number alterations between these groups. Gain of chromosome 20 (39%) followed by loss of chromosomes 6 (28%), 10 (28%), and 13 (28%) were detected in the MPE group, whereas loss of chromosome 22 was frequent (60%) in the SP-EPN group. Transcriptomic analysis showed that genes associated with oxidative phosphorylation, TCA cycle components, electron transport, and Interferon-gamma production characterize the MPE group whereas potassium ion import and regulation of astrocyte differentiation characterize the SP-EPN group. Taken together, this data suggest that mitochondrial oxidative phosphorylation may drive the regulation of energy metabolism of MPE tumours.


2010 ◽  
Vol 20 (12) ◽  
pp. 1719-1729 ◽  
Author(s):  
M. D. Robinson ◽  
C. Stirzaker ◽  
A. L. Statham ◽  
M. W. Coolen ◽  
J. Z. Song ◽  
...  

Epigenomics ◽  
2021 ◽  
Author(s):  
Sonal Saxena ◽  
Sumana Choudhury ◽  
Pranay Amruth Maroju ◽  
Anuhya Anne ◽  
Lov Kumar ◽  
...  

Aim: To study the effects of DNMT1 overexpression on transcript levels of genes dysregulated in schizophrenia and on genome-wide methylation patterns. Materials & methods: Transcriptome and DNA methylome comparisons were made between R1 (wild-type) and Dnmt1tet/tet mouse embryonic stem cells and neurons overexpressing DNMT1. Genes dysregulated in both Dnmt1tet/tet cells and schizophrenia patients were studied further. Results & conclusions: About 50% of dysregulated genes in patients also showed altered transcript levels in Tet/Tet neurons in a DNA methylation-independent manner. These neurons unexpectedly showed genome-wide hypomethylation, increased transcript levels of Tet1 and Apobec 1-3 genes and increased activity and copy number of LINE-1 elements. The observed similarities between Tet/Tet neurons and schizophrenia brain samples reinforce DNMT1 overexpression as a risk factor.


2012 ◽  
Author(s):  
Rinnat M. Porat ◽  
Ivan Pasic ◽  
Adan Shlien ◽  
Nalan Gokgoz ◽  
Irene Andrulis ◽  
...  

2013 ◽  
Author(s):  
Olafur A. Stefansson ◽  
Sebastian Moran ◽  
Antonio Gomez ◽  
Sergi Sayols Puig ◽  
Jorunn Eyfjord ◽  
...  

2019 ◽  
Vol 47 (19) ◽  
pp. e122-e122
Author(s):  
Ramya Viswanathan ◽  
Elsie Cheruba ◽  
Lih Feng Cheow

Abstract Genome-wide profiling of copy number alterations and DNA methylation in single cells could enable detailed investigation into the genomic and epigenomic heterogeneity of complex cell populations. However, current methods to do this require complex sample processing and cleanup steps, lack consistency, or are biased in their genomic representation. Here, we describe a novel single-tube enzymatic method, DNA Analysis by Restriction Enzyme (DARE), to perform deterministic whole genome amplification while preserving DNA methylation information. This method was evaluated on low amounts of DNA and single cells, and provides accurate copy number aberration calling and representative DNA methylation measurement across the whole genome. Single-cell DARE is an attractive and scalable approach for concurrent genomic and epigenomic characterization of cells in a heterogeneous population.


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