copy number variation analysis
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2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi8-vi8
Author(s):  
Saket Jain ◽  
Elaina Wang ◽  
Husam Babikir ◽  
Karin Shamardani ◽  
Aaron Diaz ◽  
...  

Abstract Pituitary adenomas (PA) are one of the most common primary brain tumors and comprise 15% of brain neoplasms. Most PAs are histologically benign but can cause significant morbidity. The genetic profile of PAs is poorly understood. We used single-cell RNA sequencing using the 10X genomic platform to investigate cellular heterogeneity in twelve non-functioning pituitary adenoma samples from nine patients including site-specific (core vs edge) samples from three patients. Our analysis identified discrete clusters of cells associated with activation of specific functional pathways including lipid metabolism, angiogenic, and antigen presentation and processing pathways regardless of location within the tumor. MALT1, a lncRNA associated with increased proliferation and metastasis was ubiquitously expressed amongst these samples. Analysis of the core vs edge samples showed two specific clusters with activated invasion-promoting pathways including PI3k/AKT signaling, Wnt signaling (Wnt6 and FZD4), and epithelial-mesenchymal transition (TGFB1, SMAD1, ZEB1, and SNAI2) in the edge of the tumors. The activated Wnt signaling cascade drove a proinflammatory tumor microenvironment induced by the expression of IL-1, IL-17, and Toll-like receptors (TLR6 and TLR7/8) resulting in suppression of Tregs. Copy number variation analysis using the CONICS-CNV algorithm highlighted distinct chromosomal alterations within our samples that led to insight into clonal variations within each tumor with loss of chromosome 2 an early event in tumorigenesis and gain/loss of chromosome 19 as late events. Mapping the copy number variation analysis with the somatic variant analysis using the Vartrix algorithm identified novel driver mutations within these tumors. These findings help define the molecular fingerprint of pituitary adenomas and provide insights which could be utilized for better management of these tumors.


Gene ◽  
2021 ◽  
pp. 145995
Author(s):  
Jing Tu ◽  
Yue Zhou ◽  
Yuhan Tao ◽  
Na Lu ◽  
Yixuan Yang ◽  
...  

Author(s):  
Hagar Mor-Shaked ◽  
Emuna Paz-Ebstein ◽  
Adily Basal ◽  
Simona Ben-Haim ◽  
Hanna Grobe ◽  
...  

Abstract Biallelic pathogenic variants in PRKN (PARK2), encoding the E3 ubiquitin ligase parkin, lead to early-onset Parkinson's disease. Structural variants, including duplications or deletions, are common in PRKN due to its location within the fragile site FRA6E. These variants are readily detectable by copy number variation analysis. We studied four siblings with levodopa-responsive dystonia by exome sequencing followed by genome sequencing. Affected individuals developed juvenile levodopa-responsive dystonia with subsequent appearance of parkinsonism and motor fluctuations that improved by subthalamic stimulation. Exome sequencing and copy number variation analysis were not diagnostic, yet revealed a shared homozygous block including PRKN. Genome sequencing revealed an inversion within PRKN, with intronic breakpoints flanking exon 5. Breakpoint junction analysis implicated non-homologous end joining and possibly replicative mechanisms as the repair pathways involved. Analysis of cDNA indicated skipping of exon 5 (84 bp) that was replaced by 93 bp of retained intronic sequence, preserving the reading frame yet altering a significant number of residues. Balanced copy number inversions in PRKN are associated with a severe phenotype. Such structural variants, undetected by exome analysis and by copy number variation analysis, should be considered in the relevant clinical setting. These findings raise the possibility that PRKN structural variants are more common than currently estimated.


Author(s):  
Simona Filomena Madeo ◽  
Ilaria Stanghellini ◽  
Barbara Predieri ◽  
Silvia Ciancia ◽  
Francesco Leo ◽  
...  

2021 ◽  
Author(s):  
Durkadın DEMİR EKŞİ ◽  
Elanur YILMAZ ◽  
Yiğit AKIN ◽  
Mustafa Faruk USTA ◽  
Mehmet Murad BAŞAR ◽  
...  

2021 ◽  
Vol 39 (S2) ◽  
Author(s):  
K. Dreval ◽  
N. Thomas ◽  
D. S. Gerhard ◽  
L. K. Hilton ◽  
J. Wong ◽  
...  

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