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Full-Text Articles in Medicine and Health Sciences
Extrachromosomal Dna (Ecdna): An Origin Of Tumor Heterogeneity, Genomic Remodeling, And Drug Resistance., Lauren T Pecorino, Roel G W Verhaak, Anton Henssen, Paul S Mischel
Extrachromosomal Dna (Ecdna): An Origin Of Tumor Heterogeneity, Genomic Remodeling, And Drug Resistance., Lauren T Pecorino, Roel G W Verhaak, Anton Henssen, Paul S Mischel
Faculty Research 2022
The genome of cancer cells contains circular extrachromosomal DNA (ecDNA) elements not found in normal cells. Analysis of clinical samples reveal they are common in most cancers and their presence indicates poor prognosis. They often contain enhancers and driver oncogenes that are highly expressed. The circular ecDNA topology leads to an open chromatin conformation and generates new gene regulatory interactions, including with distal enhancers. The absence of centromeres leads to random distribution of ecDNAs during cell division and genes encoded on them are transmitted in a non-mendelian manner. ecDNA can integrate into and exit from chromosomal DNA. The numbers of …
Integrated Dna Copy Number And Expression Profiling Identifies Igf1r As A Prognostic Biomarker In Pediatric Osteosarcoma., Aaron M Taylor, Jiayi M Sun, Alexander Yu, Horatiu Voicu, Jianhe Shen, Donald A Barkauskas, Timothy J Triche, Julie M Gastier-Foster, Tsz-Kwong Man, Ching C Lau
Integrated Dna Copy Number And Expression Profiling Identifies Igf1r As A Prognostic Biomarker In Pediatric Osteosarcoma., Aaron M Taylor, Jiayi M Sun, Alexander Yu, Horatiu Voicu, Jianhe Shen, Donald A Barkauskas, Timothy J Triche, Julie M Gastier-Foster, Tsz-Kwong Man, Ching C Lau
Faculty Research 2022
Osteosarcoma is a primary malignant bone tumor arising from bone-forming mesenchymal cells in children and adolescents. Despite efforts to understand the biology of the disease and identify novel therapeutics, the survival of osteosarcoma patients remains dismal. We have concurrently profiled the copy number and gene expression of 226 osteosarcoma samples as part of the Strategic Partnering to Evaluate Cancer Signatures (SPECS) initiative. Our results demonstrate the heterogeneous landscape of osteosarcoma in younger populations by showing the presence of genome-wide copy number abnormalities occurring both recurrently among samples and in a high frequency. Insulin growth factor receptor 1 (IGF1R) is a …
Svanna: Efficient And Accurate Pathogenicity Prediction Of Coding And Regulatory Structural Variants In Long-Read Genome Sequencing., Daniel Danis, Julius O B Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J Lyon, Ingo Helbig, Christopher J Mungall, Christine R Beck, Charles Lee, Damian Smedley, Peter N Robinson
Svanna: Efficient And Accurate Pathogenicity Prediction Of Coding And Regulatory Structural Variants In Long-Read Genome Sequencing., Daniel Danis, Julius O B Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J Lyon, Ingo Helbig, Christopher J Mungall, Christine R Beck, Charles Lee, Damian Smedley, Peter N Robinson
Faculty Research 2022
Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to sequencing technology limitations. Long-read sequencing enables comprehensive detection of SVs, but approaches for prioritization of candidate SVs are needed. Structural variant Annotation and analysis (SvAnna) assesses all classes of SVs and their intersection with transcripts and regulatory sequences, relating predicted effects on gene function with clinical phenotype data. SvAnna places 87% of deleterious SVs in the top ten ranks. The interpretable prioritizations offered by SvAnna will facilitate the widespread adoption of long-read sequencing in diagnostic genomics. SvAnna is available at https://github.com/TheJacksonLaboratory/SvAnn a …
Efficient Targeted Transgenesis Of Large Donor Dna Into Multiple Mouse Genetic Backgrounds Using Bacteriophage Bxb1 Integrase., Benjamin E. Low, Vishnu Hosur, Simon Lesbirel, Michael V. Wiles
Efficient Targeted Transgenesis Of Large Donor Dna Into Multiple Mouse Genetic Backgrounds Using Bacteriophage Bxb1 Integrase., Benjamin E. Low, Vishnu Hosur, Simon Lesbirel, Michael V. Wiles
Faculty Research 2022
The development of mouse models of human disease and synthetic biology research by targeted transgenesis of large DNA constructs represent a significant genetic engineering hurdle. We developed an efficient, precise, single-copy integration of large transgenes directly into zygotes using multiple mouse genetic backgrounds. We used in vivo Bxb1 mediated recombinase-mediated cassette exchange (RMCE) with a transgene "landing pad" composed of dual heterologous Bxb1 attachment (att) sites in cis, within the Gt(ROSA)26Sor safe harbor locus. RMCE of donor was achieved by microinjection of vector DNA carrying cognate attachment sites flanking the donor transgene with Bxb1-integrase mRNA. This approach achieves perfect vector-free …
Selective Elimination Of Pluripotent Stem Cells By Pikfyve Specific Inhibitors., Arup R Chakraborty, Alex Vassilev, Sushil K Jaiswal, Constandina E O'Connell, John F Ahrens, Barbara S Mallon, Martin Pera, Melvin L Depamphilis
Selective Elimination Of Pluripotent Stem Cells By Pikfyve Specific Inhibitors., Arup R Chakraborty, Alex Vassilev, Sushil K Jaiswal, Constandina E O'Connell, John F Ahrens, Barbara S Mallon, Martin Pera, Melvin L Depamphilis
Faculty Research 2022
Inhibition of PIKfyve phosphoinositide kinase selectively kills autophagy-dependent cancer cells by disrupting lysosome homeostasis. Here, we show that PIKfyve inhibitors can also selectively eliminate pluripotent embryonal carcinoma cells (ECCs), embryonic stem cells, and induced pluripotent stem cells under conditions where differentiated cells remain viable. PIKfyve inhibitors prevented lysosome fission, induced autophagosome accumulation, and reduced cell proliferation in both pluripotent and differentiated cells, but they induced death only in pluripotent cells. The ability of PIKfyve inhibitors to distinguish between pluripotent and differentiated cells was confirmed with xenografts derived from ECCs. Pretreatment of ECCs with the PIKfyve specific inhibitor WX8 suppressed their …
Mako: A Graph-Based Pattern Growth Approach To Detect Complex Structural Variants., Jiadong Lin, Xiaofei Yang, Walter Kosters, Tun Xu, Yanyan Jia, Songbo Wang, Qihui Zhu, Mallory Ryan, Li Guo, Chengsheng Zhang, The Human Genome Structural Variation Consortium, Charles Lee, Scott E Devine, Evan E Eichler, Kai Ye
Mako: A Graph-Based Pattern Growth Approach To Detect Complex Structural Variants., Jiadong Lin, Xiaofei Yang, Walter Kosters, Tun Xu, Yanyan Jia, Songbo Wang, Qihui Zhu, Mallory Ryan, Li Guo, Chengsheng Zhang, The Human Genome Structural Variation Consortium, Charles Lee, Scott E Devine, Evan E Eichler, Kai Ye
Faculty Research 2022
Complex structural variants (CSVs) are genomic alterations that have more than two breakpoints and are considered as the simultaneous occurrence of simple structural variants. However, detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy. As a result, there has been limited progress for CSV discovery compared with simple structural variants. Here, we systematically analyzed the multi-breakpoint connection feature of CSVs, and proposed Mako, utilizing a bottom-up guided model-free strategy, to detect CSVs from paired-end short-read sequencing. Specifically, we implemented a graph-based pattern growth approach, where the graph depicts potential breakpoint connections, and pattern growth …