Using a combination of array comparative genomic hybridization, mate pair and cloned sequences, and FISH analyses, we have identified in multiple myeloma cell lines and tumors a novel and recurrent type of genomic rearrangement, i.e. interchromosomal rearrangements (translocations or insertions) and intrachromosomal inversions that contain long (1-4000 kb; median ∼100 kb) identical sequences adjacent to both reciprocal breakpoint junctions. These duplicated sequences were generated from sequences immediately adjacent to the breakpoint from at least one-but sometimes both-chromosomal donor site(s). Tandem duplications had a similar size distribution suggesting the possibility of a shared mechanism for generating duplicated sequences at breakpoints. Although about 25% of apparent secondary rearrangements contained these duplications, primary IGH translocations rarely, if ever, had large duplications at breakpoint junctions. Significantly, these duplications often contain super-enhancers and/or oncogenes (e.g. MYC) that are dysregulated by rearrangements during tumor progression. We also found that long identical sequences often were identified at both reciprocal breakpoint junctions in six of eight other tumor types. Finally, we have been unable to find reports of similar kinds of rearrangements in wild-type or mutant prokaryotes or lower eukaryotes such as yeast.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041460PMC
http://dx.doi.org/10.1093/nar/gkw527DOI Listing

Publication Analysis

Top Keywords

breakpoint junctions
12
large duplications
8
genomic rearrangement
8
multiple myeloma
8
identical sequences
8
sequences adjacent
8
reciprocal breakpoint
8
duplicated sequences
8
sequences
6
duplications
5

Similar Publications

Background: Structural variation (SV), defined as balanced and unbalanced chromosomal rearrangements >1 kb, is a major contributor to germline and neoplastic disease. Large variants have historically been evaluated by chromosome analysis and now are commonly recognized by chromosomal microarray analysis (CMA). The increasing application of genome sequencing (GS) in the clinic and the relatively high incidence of chromosomal abnormalities in sick newborns and children highlights the need for accurate SV interpretation and reporting.

View Article and Find Full Text PDF

Mechanisms of tandem duplication in the cancer genome.

DNA Repair (Amst)

December 2024

Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Pathology, Harvard Medical School, Boston, MA 02115,  USA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.

Tandem duplications (TD) are among the most frequent type of structural variant (SV) in the cancer genome. They are characterized by a single breakpoint junction that defines the boundaries and the size of the duplicated segment. Cancer-associated TDs often increase oncogene copy number or disrupt tumor suppressor gene function, and thus have important roles in tumor evolution.

View Article and Find Full Text PDF

Purpose: Although chromosome 21 is the smallest human chromosome, it is highly relevant in the pathogenicity of both cancer and congenital diseases, including Alzheimer disease and trisomy 21 (Down syndrome). In addition, cases with rare structural variants (SVs) of chromosome 21 have been reported. These events vary in size and include large chromosomal events, such as ring chromosomes and small partial aneuploidies.

View Article and Find Full Text PDF

Inversions are balanced structural variants that often remain undetected in genetic diagnostics. We present a female proband with a de novo Chromosome 15 paracentric inversion, disrupting MEIS2 and NUSAP1. The inversion was detected by short-read genome sequencing and confirmed with adaptive long-read sequencing.

View Article and Find Full Text PDF

SAKit: An all-in-one analysis pipeline for identifying novel proteins resulting from variant events at both large and small scales.

J Bioinform Comput Biol

October 2024

Department of AI and Bioinformatics, Nanjing Chengshi Biopharmaceutical (TheraRNA) Co., Ltd., Nanjing, P. R. China.

Article Synopsis
  • Genetic mutations can disrupt cellular signaling pathways and lead to cancer by creating abnormal proteins not found in the normal human body, which could serve as potential drug targets.
  • Current sequencing tools mainly focus on point mutations and struggle to detect larger, more complex mutations and don't provide protein-level insights.
  • The Sequencing Analysis Kit (SAKit) is a new bioinformatics tool that combines long-read and short-read RNA sequencing data to effectively identify and validate both large and small genetic variations in human and mouse studies.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!