Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers.
Identification of 2R-ohnologue gene families displaying the same mutation-load skew in multiple cancers.
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DOI:
10.1098/rsob.140029
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发表时间:
2014-05-07
期刊:
影响因子:
5.8
通讯作者:
MacKintosh C
中科院分区:
文献类型:
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作者:
Tinti M;Dissanayake K;Synowsky S;Albergante L;MacKintosh C
The complexity of signalling pathways was boosted at the origin of the vertebrates, when two rounds of whole genome duplication (2R-WGD) occurred. Those genes and proteins that have survived from the 2R-WGD—termed 2R-ohnologues—belong to families of two to four members, and are enriched in signalling components relevant to cancer. Here, we find that while only approximately 30% of human transcript-coding genes are 2R-ohnologues, they carry 42–60% of the gene mutations in 30 different cancer types. Across a subset of cancer datasets, including melanoma, breast, lung adenocarcinoma, liver and medulloblastoma, we identified 673 2R-ohnologue families in which one gene carries mutations at multiple positions, while sister genes in the same family are relatively mutation free. Strikingly, in 315 of the 322 2R-ohnologue families displaying such a skew in multiple cancers, the same gene carries the heaviest mutation load in each cancer, and usually the second-ranked gene is also the same in each cancer. Our findings inspire the hypothesis that in certain cancers, heterogeneous combinations of genetic changes impair parts of the 2R-WGD signalling networks and force information flow through a limited set of oncogenic pathways in which specific non-mutated 2R-ohnologues serve as effectors. The non-mutated 2R-ohnologues are therefore potential therapeutic targets. These include proteins linked to growth factor signalling, neurotransmission and ion channels.
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DOI:
10.1093/dnares/dss012
发表时间:
2012
期刊:
DNA research : an international journal for rapid publication of reports on genes and genomes
影响因子:
--
作者:
Satake M;Kawata M;McLysaght A;Makino T
通讯作者:
Makino T
影响因子:
4.3
作者:
Chernet BT;Levin M
通讯作者:
Levin M
影响因子:
14.9
作者:
Hu Z;Chang YC;Wang Y;Huang CL;Liu Y;Tian F;Granger B;Delisi C
通讯作者:
Delisi C
影响因子:
5.4
作者:
Huminiecki L;Heldin CH
通讯作者:
Heldin CH
影响因子:
64.8
作者:
通讯作者:
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