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Jenko Bizjan B, Katsila T, Tesovnik T, Šket R, Debeljak M, Matsoukas MT, Kovač J. Challenges in identifying large germline structural variants for clinical use by long read sequencing. Comput Struct Biotechnol J 2019; 18:83-92. [PMID: 32099591 PMCID: PMC7026727 DOI: 10.1016/j.csbj.2019.11.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 11/07/2019] [Accepted: 11/21/2019] [Indexed: 12/30/2022] Open
Abstract
Genomic structural variations, previously considered rare events, are widely recognized as a major source of inter-individual variability and hence, a major hurdle in optimum patient stratification and disease management. Herein, we focus on large complex germline structural variations and present challenges towards target treatment via the synergy of state-of-the-art approaches and information technology tools. A complex structural variation detection remains challenging, as there is no gold standard for identifying such genomic variations with long reads, especially when the chromosomal rearrangement in question is a few Mb in length. A clinical case with a large complex chromosomal rearrangement serves as a paradigm. We feel that functional validation and data interpretation are of outmost importance for information growth to be translated into knowledge growth and hence, new working practices are highlighted.
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Affiliation(s)
- Barbara Jenko Bizjan
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Theodora Katsila
- Institute of Chemical Biology, National Hellenic Research Centre, Athens, Greece
| | - Tine Tesovnik
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Robert Šket
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Maruša Debeljak
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | | | - Jernej Kovač
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
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Novel Double Factor PGT strategy analyzing blastocyst stage embryos in a single NGS procedure. PLoS One 2018; 13:e0205692. [PMID: 30332465 PMCID: PMC6192598 DOI: 10.1371/journal.pone.0205692] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 09/28/2018] [Indexed: 12/16/2022] Open
Abstract
In families at risk from monogenic diseases affected offspring, it is fundamental the development of a suitable Double Factor Preimplantation Genetic Testing (DF-PGT) method for both single-gene analysis and chromosome complement screening. Aneuploidy is not only a major issue in advanced-maternal-age patients and balanced translocation carriers, but also the aneuploidy rate is extremely high in patients undergoing in vitro fertilization (IVF), even in young donors. To adequate NGS technology to the DF-PGT strategy four different whole genome amplification systems (Sureplex, MALBAC, and two multiple displacement amplification systems-MDA) were tested using TruSight One panel on cell lines and blastocyst trophectoderm biopsies-TE. Embryo cytogenetic status was analyzed by Nexus software. Sureplex and MALBAC DNA products were considered not suitable for PGT diagnosis due to inconsistent and poor results on Trusight one (TSO) panel. Results obtained with both MDA based methods (GEH-MDA and RG-MDA) were appropriate for direct mutation detection by TSO NGS platform. Nevertheless, RG-MDA amplification products showed better coverage and lower ADO rates than GEH-MDA. The present work also demonstrates that the same TSO sequencing data is suitable not only for the direct mutation detection, but also for the indirect mutation detection by linkage analysis of informative SNPs. The present work also demonstrates that Nexus software is competent for the detection of CNV by using with TSO sequencing data from RG-MDA products, allowing for the whole cytogenetic characterization of the embryos. In conclusion, successfully development of an innovative and promising DF-PGT strategy using TSO-NGS technology in TE biopsies, performed in-house in a single laboratory experience, has been done in the present work. Additional studies should be performed before it could be used as a diagnostic alternative in order to validate this approach for the detection of chromosomal aneuploidies.
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Genomic and expression profiling reveal molecular heterogeneity of disseminated tumor cells in bone marrow of early breast cancer. NPJ Breast Cancer 2018; 4:31. [PMID: 30211312 PMCID: PMC6125436 DOI: 10.1038/s41523-018-0083-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 08/05/2018] [Accepted: 08/09/2018] [Indexed: 12/11/2022] Open
Abstract
Detection of disseminated tumor cells (DTCs) in bone marrow is an established negative prognostic factor. We isolated small pools of (~20) EPCAM-positive DTCs from early breast cancer patients for genomic profiling. Genome-wide copy number profiles of DTC pools (n = 45) appeared less aberrant than the corresponding primary tumors (PT, n = 16). PIK3CA mutations were detected in 26% of DTC pools (n = 53), none of them were shared with matched PTs. Expression profiling of DTC pools (n = 30) confirmed the upregulation of EPCAM expression and certain oncogenes (e.g., MYC and CCNE1), as well as the absence of hematopoietic features. Two expression subtypes were observed: (1) luminal with dual epithelial-mesenchymal properties (high ESR1 and VIM/CAV1 expression), and (2) basal-like with proliferative/stem cell-like phenotype (low ESR1 and high MKI67/ALDH1A1 expression). We observed high discordance between ESR1 (40%) and ERRB2 (43%) expression in DTC pools vs. the clinical ER and HER2 status of the corresponding primary tumors, suggesting plasticity of biomarker status during dissemination to the bone marrow. Comparison of expression profiles of DTC pools with available data from circulating tumor cells (CTCs) of metastatic breast cancer patients revealed gene expression signatures in DTCs that were unique from those of CTCs. For example, ALDH1A1, CAV1, and VIM were upregulated in DTC pools relative to CTCs. Taken together, analysis of pooled DTCs revealed molecular heterogeneity, possible genetic divergence from corresponding primary tumor, and two distinct subpopulations. Validation in larger cohorts is needed to confirm the presence of these molecular subtypes and to evaluate their biological and clinical significance.
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Lu L, Lv B, Huang K, Xue Z, Zhu X, Fan G. Recent advances in preimplantation genetic diagnosis and screening. J Assist Reprod Genet 2016; 33:1129-34. [PMID: 27272212 DOI: 10.1007/s10815-016-0750-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Accepted: 05/25/2016] [Indexed: 12/18/2022] Open
Abstract
Preimplantation genetic diagnosis/screening (PGD/PGS) aims to help couples lower the risks of transmitting genetic defects to their offspring, implantation failure, and/or miscarriage during in vitro fertilization (IVF) cycles. However, it is still being debated with regard to the practicality and diagnostic accuracy of PGD/PGS due to the concern of invasive biopsy and the potential mosaicism of embryos. Recently, several non-invasive and high-throughput assays have been developed to help overcome the challenges encountered in the conventional invasive biopsy and low-throughput analysis in PGD/PGS. In this mini-review, we will summarize the recent progresses of these new methods for PGD/PGS and discuss their potential applications in IVF clinics.
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Affiliation(s)
- Lina Lu
- Translational Center for Stem Cell Research, Tongji Hospital, Department of Regenerative Medicine, Tongji University School of Medicine, Shanghai, 200065, China.,School of Life Sciences and Technology, Advanced Institute of Translational Medicine, Tongji University, 1239 Siping Road, Shanghai, 200092, China
| | - Bo Lv
- Translational Center for Stem Cell Research, Tongji Hospital, Department of Regenerative Medicine, Tongji University School of Medicine, Shanghai, 200065, China
| | - Kevin Huang
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Zhigang Xue
- Translational Center for Stem Cell Research, Tongji Hospital, Department of Regenerative Medicine, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xianmin Zhu
- School of Life Sciences and Technology, Advanced Institute of Translational Medicine, Tongji University, 1239 Siping Road, Shanghai, 200092, China
| | - Guoping Fan
- School of Life Sciences and Technology, Advanced Institute of Translational Medicine, Tongji University, 1239 Siping Road, Shanghai, 200092, China. .,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
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