Barillot E, Lacroix B, Cohen D
Centre d'Etude du Polymorphisme Humain (CEPH), Paris, France.
Nucleic Acids Res. 1991 Nov 25;19(22):6241-7. doi: 10.1093/nar/19.22.6241.
A solution to the problem of library screening is analysed. We examine how to retrieve those clones that are positive for a single copy landmark from a whole library while performing only a minimum number of laboratory tests: the clones are arranged on a matrix (i.e in 2 dimensions) and pooled according to the rows and columns. A fingerprint is determined for each pool and an analysis allows selection of a list containing all the positive clones, plus a few false positives. These false positives are eliminated by using another (or several other) matrix which has to be reconfigured in a way as different as possible from the previous one. We examine the use of cubes (3 dimensions) or hypercubes of any dimension instead of matrices and analyse how to reconfigure them in order to eliminate the false positives as efficiently as possible. The advantage of the method proposed is the low number of tests required and the low number of pools that require to be prepared [only 258 pools and 282 tests (258 + 24 verifications) are needed to screen the 72,000 clones of the CEPH YAC library (1) with a sequence-tagged site]. Furthermore, this method allows easy and systematic screenings and can be applied to a large physical mapping project, which will lead to an interesting map with a low, precisely known, rate of error: when fingerprinting a 150 Mb chromosome with the CEPH YAC library and 1750 sequence-tagged sites, 903,000 tests would be necessary to obtain about 20 contigs of an average length of 6.7 Mb, while only about one false positive would be expected in the resultant map. Finally, STSs can be ordered by dividing a clone library into sublibraries (corresponding to groups of microplates for example) and testing each STS on pooled clones from each sublibrary. This allows to dedicate to each STSs a fingerprint that consists in the list of the positive pools. In many cases these fingerprints will be enough to order the STSs. Indeed if large YACs (greater than 1 Mb) can be obtained, the combined screening of DNA families and YAC DNA pools would allow an integrated construction of both genetic and physical maps of the human genome, that will also reduce the optimal number of meioses needed for a 1 centimorgan linkage map.
分析了一种解决文库筛选问题的方法。我们研究了如何从整个文库中检索出对单拷贝标记呈阳性的那些克隆,同时仅进行最少数量的实验室检测:将克隆排列在一个矩阵(即二维)中,并按行和列进行合并。为每个池确定一个指纹图谱,通过分析可以选择一个包含所有阳性克隆以及一些假阳性克隆的列表。通过使用另一个(或几个其他)矩阵来消除这些假阳性克隆,该矩阵必须以与前一个尽可能不同的方式重新配置。我们研究了使用立方体(三维)或任何维度的超立方体代替矩阵,并分析如何对它们进行重新配置以尽可能高效地消除假阳性克隆。所提出方法的优点是所需检测数量少,且需要准备的池数量少[使用序列标签位点筛选CEPH YAC文库的72,000个克隆(1)时,仅需要258个池和282次检测(258 + 24次验证)]。此外,该方法允许进行简单且系统的筛选,并且可以应用于大型物理图谱绘制项目,这将产生一个具有低且精确已知错误率的有趣图谱:当使用CEPH YAC文库和1750个序列标签位点对150 Mb染色体进行指纹图谱分析时,要获得约20个平均长度为6.7 Mb的重叠群,需要进行903,000次检测,而在所得图谱中预计仅会出现约一个假阳性克隆。最后,可以通过将克隆文库划分为子文库(例如对应于微孔板组)并在每个子文库的合并克隆上测试每个STS来对STS进行排序。这允许为每个STS赋予一个指纹图谱,该指纹图谱由阳性池的列表组成。在许多情况下,这些指纹图谱将足以对STS进行排序。实际上,如果能够获得大的YAC(大于1 Mb),对DNA家族和YAC DNA池进行联合筛选将允许对人类基因组的遗传图谱和物理图谱进行综合构建,这也将减少构建1厘摩连锁图谱所需的最佳减数分裂次数。