Back

Quantitative analysis of the frequency of chromosome loss following DSB induction

Matsuno, S.; Ishida, R.; Kawasumi, R.; Hirota, K.; Abe, T.

2025-01-16 molecular biology
10.1101/2025.01.15.633104 bioRxiv
Show abstract

Numerical abnormalities in chromosomal states, referred to as aneuploidy, is commonly observed in many cancer cells. Although numerous internal and external factors induce aneuploidy, the primary cause of aneuploidy in humans remains unclear. DNA damage is identified as a potential cause of aneuploidy by inducing chromosome segregation errors. However, a direct relationship between DNA damage and aneuploidy remains poorly understood. A major reason for this is the extremely low frequency of aneuploidy in cultured cells, making quantitative analyses challenging. In this study, we investigated the relationship between DNA damage and aneuploidy in cell lines containing minichromosomes. These chromosomes are more prone to loss than normal chromosomes, with the rate of loss substantially increased following exposure to various DNA-damaging agents. To determine whether damaged chromosomes were subjected to direct loss or whether chromosome loss occurred as an indirect consequence of a prolonged G2 phase or other factors, we used the CRISPR-Cas9 system to introduce a single DNA double-strand break (DSB) on a minichromosome. The rate of minichromosome loss increased by approximately seven-fold compared with that of the control. Furthermore, the loss rate was significantly elevated in the absence of KU70, a key factor in non-homologous end joining, and upon inhibition of ataxia telangiectasia mutated (ATM), a DNA damage checkpoint protein. Finally, two closely spaced nicks, believed to generate a 5-overhang, were also shown to induce minichromosome loss. These findings indicated that a single DSB or two closely spaced nicks can cause aneuploidy if improperly repaired in vertebrates.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Cell Cycle
14 papers in training set
Top 0.1%
18.8%
2
Scientific Reports
3102 papers in training set
Top 0.8%
18.8%
3
DNA Repair
17 papers in training set
Top 0.1%
10.2%
4
PLOS ONE
4510 papers in training set
Top 27%
6.4%
50% of probability mass above
5
International Journal of Molecular Sciences
453 papers in training set
Top 1%
4.9%
6
Frontiers in Molecular Biosciences
100 papers in training set
Top 1%
2.1%
7
Cells
232 papers in training set
Top 2%
2.1%
8
Molecular and Cellular Biology
40 papers in training set
Top 0.1%
1.7%
9
Oncotarget
15 papers in training set
Top 0.1%
1.7%
10
Biomolecules
95 papers in training set
Top 0.6%
1.5%
11
Epigenetics
43 papers in training set
Top 0.6%
1.2%
12
iScience
1063 papers in training set
Top 21%
1.2%
13
Biology Open
130 papers in training set
Top 2%
1.0%
14
Biology
43 papers in training set
Top 2%
0.9%
15
Gene
41 papers in training set
Top 2%
0.9%
16
Heliyon
146 papers in training set
Top 5%
0.8%
17
Frontiers in Genetics
197 papers in training set
Top 10%
0.8%
18
Epigenetics & Chromatin
42 papers in training set
Top 0.3%
0.8%
19
Biochemistry and Biophysics Reports
28 papers in training set
Top 2%
0.8%
20
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 9%
0.8%
21
Biology of the Cell
11 papers in training set
Top 0.2%
0.8%
22
Cell Death Discovery
51 papers in training set
Top 1%
0.8%
23
Chromosome Research
18 papers in training set
Top 0.1%
0.7%
24
Journal of Bioinformatics and Systems Biology
14 papers in training set
Top 0.8%
0.7%
25
Molecular Biology Reports
19 papers in training set
Top 0.7%
0.6%
26
GENETICS
189 papers in training set
Top 2%
0.6%
27
PLOS Pathogens
721 papers in training set
Top 10%
0.6%
28
Nucleic Acids Research
1128 papers in training set
Top 19%
0.6%
29
Genetics
225 papers in training set
Top 5%
0.6%
30
Viruses
318 papers in training set
Top 7%
0.5%