Exome-wide somatic microsatellite variation is altered in cells with DNA repair deficiencies.
Exome-wide somatic microsatellite variation is altered in cells with DNA repair deficiencies.
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在具有 DNA 修复缺陷的细胞中,外显子组范围内的体细胞微卫星变异发生了改变。
DOI:
10.1371/journal.pone.0110263
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Garner HR
中科院分区:
文献类型:
--
作者:
Vaksman Z;Fonville NC;Tae H;Garner HR
Microsatellites (MST), tandem repeats of 1–6 nucleotide motifs, are mutational hot-spots with a bias for insertions and deletions (INDELs) rather than single nucleotide polymorphisms (SNPs). The majority of MST instability studies are limited to a small number of loci, the Bethesda markers, which are only informative for a subset of colorectal cancers. In this paper we evaluate non-haplotype alleles present within next-gen sequencing data to evaluate somatic MST variation (SMV) within DNA repair proficient and DNA repair defective cell lines. We confirm that alleles present within next-gen data that do not contribute to the haplotype can be reliably quantified and utilized to evaluate the SMV without requiring comparisons of matched samples. We observed that SMV patterns found in DNA repair proficient cell lines without DNA repair defects, MCF10A, HEK293 and PD20 RV:D2, had consistent patterns among samples. Further, we were able to confirm that changes in SMV patterns in cell lines lacking functional BRCA2, FANCD2 and mismatch repair were consistent with the different pathways perturbed. Using this new exome sequencing analysis approach we show that DNA instability can be identified in a sample and that patterns of instability vary depending on the impaired DNA repair mechanism, and that genes harboring minor alleles are strongly associated with cancer pathways. The MST Minor Allele Caller used for this study is available at https://github.com/zalmanv/MST_minor_allele_caller.
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影响因子:
3.5
作者:
通讯作者:
--
DOI:
10.1073/pnas.95.18.10774
发表时间:
1998-09-01
影响因子:
11.1
作者:
Kruglyak, S;Durrett, RT;Aquadro, CF
通讯作者:
Aquadro, CF
影响因子:
3.3
作者:
Ananda, Guruprasad;Walsh, Erin;Makova, Kateryna D.
通讯作者:
Makova, Kateryna D.
影响因子:
64.5
作者:
Hou, Yong;Song, Luting;Wang, Jun
通讯作者:
Wang, Jun
影响因子:
2.9
作者:
Eckert, KA;Mowery, A;Hile, SE
通讯作者:
Hile, SE