A multi-modal molecular characterization of the Philadelphia translocation featuring long read sequencing

IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY
Gene Pub Date : 2025-02-28 DOI:10.1016/j.gene.2025.149370
Janet Hei Yin Law , Chun Hang Au , Amy Wing-Sze Leung , Henry C.M. Leung , Elaine Y.L. Wong , Beca B.K. Ip , Dona N.Y. Ho , Shing Yan Ma , Helen M.H. Chan , Edmond K.W. Chiu , James C.S. Chim , Raymond H.S. Liang , Thomas S.K. Wan , Edmond S.K. Ma
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引用次数: 0

Abstract

Objective

Clinically significant structural variation (SV), notably chromosomal translocation, results in the formation of fusion genes that drive leukaemogenesis. Detection of SVs is vital in clinical diagnosis, prognosis and therapy of haematological malignancies. Current methods for SV identification are low in sensitivity for cryptic cases and time-consuming for complex cases. This study investigated the feasibility of long read sequencing as an approach for SV detection and precise breakpoint characterization.

Methods

Six archival samples, including 4 bone marrow blood samples (F/66 B-ALL, F/25 B-ALL, M/53 CML, F/34 B-ALL) and 1 cytogenetic cell pellet each in cell culture medium (M/52 CML) or Carnoy’s fixative (M/44 CML) with known and previously characterized BCR::ABL1 fusion transcript were selected for study. The genomic DNA was extracted from each case for further breakpoint characterization by long read sequencing (MinION R9.4.1 flow cell, Oxford Nanopore Technologies, UK).

Results

All the genomic breakpoints were concordant with the RNA fusion transcript breakpoints. Three typical (e1a2, e13a2, and e14a2) and 3 variant (e23a2Ins52, e8a2, and e13a2ins74) BCR breakpoints were identified.

Conclusion

Using the Ph translocation as an example, long read sequencing is a promising alternative method to detect SV, revolutionizing detection of chromosomal translocation to a higher precision. A more comprehensive spectrum of SV can be resolved along with cytogenetic results, enabling precise diagnosis and personalized monitoring of haematological malignancies.
以长读数测序为特色的费城变位多模式分子特征分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gene
Gene 生物-遗传学
CiteScore
6.10
自引率
2.90%
发文量
718
审稿时长
42 days
期刊介绍: Gene publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses.
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