Ghosh Shyamasree
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J Integr Bioinform. 2017 Jul 6;14(4):20170007. doi: 10.1515/jib-2017-0007.
Planaria is a member of the Phylum Platyhelminthes including flatworms. Planarians possess the unique ability of regeneration from adult stem cells or neoblasts and finds importance as a model organism for regeneration and developmental studies. Although research is being actively carried out globally through conventional methods to understand the process of regeneration from neoblasts, biology of development, neurobiology and immunology of Planaria, there are many thought provoking questions related to stem cell plasticity, and uniqueness of regenerative potential in Planarians amongst other members of Phylum Platyhelminthes. The complexity of receptors and signalling mechanisms, immune system network, biology of repair, responses to injury are yet to be understood in Planaria. Genomic and transcriptomic studies have generated a vast repository of data, but their availability and analysis is a challenging task. Data mining, computational approaches of gene curation, bioinformatics tools for analysis of transcriptomic data, designing of databases, application of algorithms in deciphering changes of morphology by RNA interference (RNAi) approaches, understanding regeneration experiments is a new venture in Planaria research that is helping researchers across the globe in understanding the biology. We highlight the applications of Hidden Markov models (HMMs) in designing of computational tools and their applications in Planaria decoding their complex biology.
涡虫是扁形动物门的成员之一,扁形动物门包含扁虫。涡虫具有从成体干细胞或新生细胞再生的独特能力,并且作为再生和发育研究的模式生物具有重要意义。尽管全球正在通过传统方法积极开展研究,以了解涡虫从新生细胞再生的过程、发育生物学、神经生物学和免疫学,但仍存在许多发人深省的问题,涉及干细胞可塑性以及涡虫在扁形动物门其他成员中再生潜力的独特性。涡虫中受体和信号传导机制、免疫系统网络、修复生物学以及对损伤的反应的复杂性仍有待了解。基因组和转录组研究已经产生了大量的数据存储库,但数据的获取和分析是一项具有挑战性的任务。数据挖掘、基因整理的计算方法、用于分析转录组数据的生物信息学工具、数据库设计、通过RNA干扰(RNAi)方法解读形态变化的算法应用以及对再生实验的理解,是涡虫研究中的一项新尝试,正在帮助全球各地的研究人员了解其生物学特性。我们强调隐马尔可夫模型(HMM)在设计计算工具中的应用及其在解读涡虫复杂生物学特性方面的应用。