DSMNC: a database of somatic mutations in normal cells.
DSMNC: a database of somatic mutations in normal cells.
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DSMNC：正常细胞体细胞突变数据库
DOI：
10.1093/nar/gky1045
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发表时间：
2019-01-08
影响因子：
14.9
通讯作者：
Cai J
中科院分区：
文献类型：
--
作者：
Miao X;Li X;Wang L;Zheng C;Cai J
许多非遗传的体细胞突变，不同于那些生殖系起源，发生在体细胞中的DNA复制每细胞分裂。体细胞突变记录了每个增殖正常细胞独特的遗传细胞谱系“历史”，是重要的，但仍有待研究，因为它们的超低频率隐藏在异质细胞的遗传背景中。幸运的是，单细胞基因组学生物技术的发展使得筛选和收集正常细胞中发生的体细胞突变，特别是单核苷酸变异（SNV）成为可能。在这里，我们建立了DSMNC：正常细胞中体细胞突变的数据库（http：//dsmnc.big.ac.cn/），其提供了来自各种正常组织的单细胞中体细胞SNV的最全面的目录。在目前的版本中，该数据库收集了1080万个SNV，这些SNV累积在10600个单个正常细胞（579个人类细胞和39个小鼠细胞）中。数据库接口支持用户友好的浏览和搜索SNV及其注释信息的能力。DSMNC作为个体正常细胞中体细胞突变的及时和有价值的收集，使得分析各种类型的异质正常细胞中体细胞突变的负担和特征成为可能。因此，DSMNC将显著提高我们对正常细胞体细胞突变特征的理解。
Numerous non-inherited somatic mutations, distinct from those of germ-line origin, occur in somatic cells during DNA replication per cell-division. The somatic mutations, recording the unique genetic cell-lineage ‘history’ of each proliferating normal cell, are important but remain to be investigated because of their ultra-low frequency hidden in the genetic background of heterogeneous cells. Luckily, the recent development of single-cell genomics biotechnologies enables the screening and collection of the somatic mutations, especial single nucleotide variations (SNVs), occurring in normal cells. Here, we established DSMNC: a database of somatic mutations in normal cells (http://dsmnc.big.ac.cn/), which provides most comprehensive catalogue of somatic SNVs in single cells from various normal tissues. In the current version, the database collected ∼0.8 million SNVs accumulated in ∼600 single normal cells (579 human cells and 39 mouse cells). The database interface supports the user-friendly capability of browsing and searching the SNVs and their annotation information. DSMNC, which serves as a timely and valuable collection of somatic mutations in individual normal cells, has made it possible to analyze the burdens and signatures of somatic mutations in various types of heterogeneous normal cells. Therefore, DSMNC will significantly improve our understanding of the characteristics of somatic mutations in normal cells.
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影响因子：
64.5
作者：
Welch JS;Ley TJ;Link DC;Miller CA;Larson DE;Koboldt DC;Wartman LD;Lamprecht TL;Liu F;Xia J;Kandoth C;Fulton RS;McLellan MD;Dooling DJ;Wallis JW;Chen K;Harris CC;Schmidt HK;Kalicki-Veizer JM;Lu C;Zhang Q;Lin L;O'Laughlin MD;McMichael JF;Delehaunty KD;Fulton LA;Magrini VJ;McGrath SD;Demeter RT;Vickery TL;Hundal J;Cook LL;Swift GW;Reed JP;Alldredge PA;Wylie TN;Walker JR;Watson MA;Heath SE;Shannon WD;Varghese N;Nagarajan R;Payton JE;Baty JD;Kulkarni S;Klco JM;Tomasson MH;Westervelt P;Walter MJ;Graubert TA;DiPersio JF;Ding L;Mardis ER;Wilson RK
通讯作者：
Wilson RK
正常细胞的基因组测序揭示了发育谱系和突变过程。
影响因子：
64.8
作者：
Behjati, Sam;Huch, Meritxell;van Boxtel, Ruben;Karthaus, Wouter;Wedge, David C.;Tamuri, Asif U.;Martincorena, Inigo;Petljak, Mia;Alexandrov, Ludmil B.;Gundem, Gunes;Tarpey, Patrick S.;Roerink, Sophie;Blokker, Joyce;Maddison, Mark;Mudie, Laura;Robinson, Ben;Nik-Zainal, Serena;Campbell, Peter;Goldman, Nick;van de Wetering, Marc;Cuppen, Edwin;Clevers, Hans;Stratton, Michael R.
通讯作者：
Stratton, Michael R.
影响因子：
14.9
作者：
Smigielski, EM;Sirotkin, K;Sherry, ST
通讯作者：
Sherry, ST
影响因子：
16.2
作者：
Hazen JL;Faust GG;Rodriguez AR;Ferguson WC;Shumilina S;Clark RA;Boland MJ;Martin G;Chubukov P;Tsunemoto RK;Torkamani A;Kupriyanov S;Hall IM;Baldwin KK
通讯作者：
Baldwin KK
影响因子：
64.8
作者：
Kilpinen H;Goncalves A;Leha A;Afzal V;Alasoo K;Ashford S;Bala S;Bensaddek D;Casale FP;Culley OJ;Danecek P;Faulconbridge A;Harrison PW;Kathuria A;McCarthy D;McCarthy SA;Meleckyte R;Memari Y;Moens N;Soares F;Mann A;Streeter I;Agu CA;Alderton A;Nelson R;Harper S;Patel M;White A;Patel SR;Clarke L;Halai R;Kirton CM;Kolb-Kokocinski A;Beales P;Birney E;Danovi D;Lamond AI;Ouwehand WH;Vallier L;Watt FM;Durbin R;Stegle O;Gaffney DJ
通讯作者：
Gaffney DJ