i-BLESS is an ultra-sensitive method for detection of DNA double-strand breaks.
i-BLESS is an ultra-sensitive method for detection of DNA double-strand breaks.
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DOI:
10.1038/s42003-018-0165-9
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发表时间:
2018
影响因子:
5.9
通讯作者:
Ginalski K
中科院分区:
文献类型:
--
作者:
Biernacka A;Zhu Y;Skrzypczak M;Forey R;Pardo B;Grzelak M;Nde J;Mitra A;Kudlicki A;Crosetto N;Pasero P;Rowicka M;Ginalski K
Maintenance of genome stability is a key issue for cell fate that could be compromised by chromosome deletions and translocations caused by DNA double-strand breaks (DSBs). Thus development of precise and sensitive tools for DSBs labeling is of great importance for understanding mechanisms of DSB formation, their sensing and repair. Until now there has been no high resolution and specific DSB detection technique that would be applicable to any cells regardless of their size. Here, we present i-BLESS, a universal method for direct genome-wide DNA double-strand break labeling in cells immobilized in agarose beads. i-BLESS has three key advantages: it is the only unbiased method applicable to yeast, achieves a sensitivity of one break at a given position in 100,000 cells, and eliminates background noise while still allowing for fixation of samples. The method allows detection of ultra-rare breaks such as those forming spontaneously at G-quadruplexes. Anna Biernacka, Yingjie Zhu et al. present i-BLESS, a universal method for detecting genome-wide DNA double strand breaks, optimized here for yeast. By immobilizing cells on agarose beads, the authors are able to achieve efficient diffusion of reagents and labeling of double strand breaks, including ultra-rare breaks such as those at G-quadruplexes.
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影响因子:
4.5
作者:
Chung WH;Zhu Z;Papusha A;Malkova A;Ira G
通讯作者:
Ira G
影响因子:
48
作者:
Crosetto, Nicola;Mitra, Abhishek;Silva, Maria Joao;Bienko, Magda;Dojer, Norbert;Wang, Qi;Karaca, Elif;Chiarle, Roberto;Skrzypczak, Magdalena;Ginalski, Krzysztof;Pasero, Philippe;Rowicka, Maga;Dikic, Ivan
通讯作者:
Dikic, Ivan
影响因子:
3.7
作者:
Mitra A;Skrzypczak M;Ginalski K;Rowicka M
通讯作者:
Rowicka M
影响因子:
16
作者:
Canela A;Sridharan S;Sciascia N;Tubbs A;Meltzer P;Sleckman BP;Nussenzweig A
通讯作者:
Nussenzweig A
影响因子:
14.9
作者:
Ma W;Resnick MA;Gordenin DA
通讯作者:
Gordenin DA