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InCliniGene能够实现高通量和全面的体内克隆跟踪,以实现临床基因组学数据整合

Ivan Merelli, Stefano Beretta¹, Daniela Cesana¹

¹San Raffaele Telethon Institute for Gene Therapy, IRCCS Ospedale San Raffaele, Via Olgettina 60, Milano 20132, Italy.

Database : the journal of biological databases and curation

|November 7, 2023

概括

一个新的图形数据库InCliniGene通过克服现有方法的计算限制,增强基因治疗中的克隆追踪. 这种可扩展的工具准确地监测移植细胞种群,以改善临床应用.

科学领域:

* 生物信息学是一门学科.
* 分子生物学 * 分子生物学
* 计算生物学 * 计算生物学

背景情况:

*高通量克隆追踪对于评估造血干细胞基因治疗的安全性和有效性至关重要.
*识别载体整合部位是跟踪移植细胞克隆及其后代的关键.
*当前最先进的算法,如马追踪逆转录病毒插入部位 (γ-TRIS),在大型临床研究中面临计算限制.

研究的目的:

* 开发一种可扩展和准确的计算工具,用于基因治疗中的克隆追踪.
* 克服现有算法的局限性,用于分析临床试验中的大型数据集.
* 促进各种数据类型的整合,以便在基因治疗中进行全面分析.

主要方法:

*开发InCliniGene,一个新的克隆追踪图表数据库.
* 导入和处理来自 γ-TRIS 的输出文件.
*利用图形数据库结构来表示克隆为节点,其基因组关系为边缘.
* 实施数据查询,在多个样本中纵向跟踪克隆.

主要成果:

*InCliniGene在克隆追踪中展示了高精度和可扩展性.
*使用旨在模仿临床场景的体外数据集进行验证,证实了该工具的性能.
*图形数据库方法有效地通过数据查询纵向跟踪所有克隆.

结论:

*InCliniGene使得g-TRIS在大规模基因疗法临床应用中的扩展使用成为可能.
*数据库有助于整合分子,基因组,临床和治疗数据.
*未来的扩展将支持基因治疗中的精确,个性化和预测医学数据挖掘.

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