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使用排列的、流体固定的DNA分子进行自动化高分辨率光学图谱分析。

Automated high resolution optical mapping using arrayed, fluid-fixed DNA molecules.

作者信息

Jing J, Reed J, Huang J, Hu X, Clarke V, Edington J, Housman D, Anantharaman T S, Huff E J, Mishra B, Porter B, Shenker A, Wolfson E, Hiort C, Kantor R, Aston C, Schwartz D C

机构信息

W. M. Keck Laboratory for Biomolecular Imaging, Department of Chemistry, New York University, 31 Washington Place, New York, NY 10003, USA.

出版信息

Proc Natl Acad Sci U S A. 1998 Jul 7;95(14):8046-51. doi: 10.1073/pnas.95.14.8046.

Abstract

New mapping approaches construct ordered restriction maps from fluorescence microscope images of individual, endonuclease-digested DNA molecules. In optical mapping, molecules are elongated and fixed onto derivatized glass surfaces, preserving biochemical accessibility and fragment order after enzymatic digestion. Measurements of relative fluorescence intensity and apparent length determine the sizes of restriction fragments, enabling ordered map construction without electrophoretic analysis. The optical mapping system reported here is based on our physical characterization of an effect using fluid flows developed within tiny, evaporating droplets to elongate and fix DNA molecules onto derivatized surfaces. Such evaporation-driven molecular fixation produces well elongated molecules accessible to restriction endonucleases, and notably, DNA polymerase I. We then developed the robotic means to grid DNA spots in well defined arrays that are digested and analyzed in parallel. To effectively harness this effect for high-throughput genome mapping, we developed: (i) machine vision and automatic image acquisition techniques to work with fixed, digested molecules within gridded samples, and (ii) Bayesian inference approaches that are used to analyze machine vision data, automatically producing high-resolution restriction maps from images of individual DNA molecules. The aggregate significance of this work is the development of an integrated system for mapping small insert clones allowing biochemical data obtained from engineered ensembles of individual molecules to be automatically accumulated and analyzed for map construction. These approaches are sufficiently general for varied biochemical analyses of individual molecules using statistically meaningful population sizes.

摘要

新的图谱绘制方法可从单个经核酸内切酶消化的DNA分子的荧光显微镜图像构建有序的限制性图谱。在光学图谱绘制中,分子被拉长并固定在衍生化的玻璃表面上,在酶切后保留生化可及性和片段顺序。相对荧光强度和表观长度的测量可确定限制性片段的大小,从而无需电泳分析即可构建有序图谱。本文报道的光学图谱绘制系统基于我们对一种效应的物理表征,该效应利用微小蒸发液滴内产生的流体流动将DNA分子拉长并固定在衍生化表面上。这种由蒸发驱动的分子固定产生了易于被限制性内切酶,尤其是DNA聚合酶I作用的充分拉长的分子。然后,我们开发了一种机器人方法,用于在定义明确的阵列中对DNA斑点进行网格化,这些斑点随后被并行消化和分析。为了有效地利用这种效应进行高通量基因组图谱绘制,我们开发了:(i)机器视觉和自动图像采集技术,用于处理网格化样本中固定的、已消化的分子;(ii)贝叶斯推理方法,用于分析机器视觉数据,从单个DNA分子的图像中自动生成高分辨率的限制性图谱。这项工作的总体意义在于开发了一种用于绘制小插入片段克隆图谱的集成系统,该系统能够自动积累和分析从单个分子的工程集合中获得的生化数据以构建图谱。这些方法对于使用具有统计意义的群体规模对单个分子进行各种生化分析具有足够的通用性。

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