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染色体结构的成像方法。

Imaging approaches for chromosome structures.

机构信息

Graduate School of Pharmaceutical Sciences, Osaka University, Yamada-oka, Suita, Osaka, 565-0871, Japan.

Kobe Active Aging Research Hub (KAARb), Graduate School of Human Development and Environment, Kobe University, Tsurukabuto, Kobe, 657-8501, Japan.

出版信息

Chromosome Res. 2021 Mar;29(1):5-17. doi: 10.1007/s10577-021-09648-3. Epub 2021 Feb 15.

Abstract

This review describes image analyses for chromosome visible structures, focusing on the chromosome imaging system CHIAS (Chromosome Image Analyzing System). CHIAS is the first comprehensive imaging system for the analysis and characterization of plant chromosomes. A simulation method for human vision for capturing band positive regions was developed and used for the image analysis of large plant chromosomes with bands. Applying this method to C-banded Crepis chromosomes enabled recognition of band positive regions as seen by human vision. Furthermore, a new image parameter, condensation pattern was developed and successfully applied to identify small plant chromosomes such as rice and brassicas. Condensation profile (CP) derived from condensation pattern was also effective in developing quantitative chromosome maps. The result was quantitative chromosomal maps of several plants with small chromosomes, including Arabidopsis, diploid brassicas, rapeseed, rice, spinach, and sugarcane. In the final chapter, various applications of imaging techniques to the analysis of pachytene chromosomes, improved visibility of multicolor FISH images, 3D reconstruction of a human chromosome based on cross-section images obtained by a FIB/SEM, automatic extraction of chromosomal regions by machine learning, etc. are described.

摘要

本文综述了染色体可见结构的图像分析方法,重点介绍了染色体成像系统 CHIAS(Chromosome Image Analyzing System)。CHIAS 是第一个用于分析和表征植物染色体的综合成像系统。本文开发了一种用于捕捉带正区域的人类视觉模拟方法,并将其应用于具有带的大型植物染色体的图像分析。将该方法应用于 C 带化的狗舌草染色体,能够识别出人类视觉可见的带正区域。此外,本文还开发了一种新的图像参数——凝聚模式,并成功应用于识别水稻和芸薹属等小型植物染色体。从凝聚模式得出的凝聚轮廓(CP)也可用于开发定量染色体图谱。这一结果为包括拟南芥、二倍体芸薹属、油菜、水稻、菠菜和甘蔗在内的具有小染色体的几种植物提供了定量染色体图谱。最后一章描述了各种成像技术在粗线期染色体分析中的应用,包括多色 FISH 图像的可视性提高、基于 FIB/SEM 获得的截面图像的人类染色体 3D 重建、通过机器学习自动提取染色体区域等。

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