Validation of Methods to Assess the Immunoglobulin Gene Repertoire in Tissues Obtained from Mice on the International Space Station.

Trisha A Rettig, Claire Ward, Michael J Pecaut, Stephen K Chapes
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Abstract

Spaceflight is known to affect immune cell populations. In particular, splenic B cell numbers decrease during spaceflight and in ground-based physiological models. Although antibody isotype changes have been assessed during and after space flight, an extensive characterization of the impact of spaceflight on antibody composition has not been conducted in mice. Next Generation Sequencing and bioinformatic tools are now available to assess antibody repertoires. We can now identify immunoglobulin gene- segment usage, junctional regions, and modifications that contribute to specificity and diversity. Due to limitations on the International Space Station, alternate sample collection and storage methods must be employed. Our group compared Illumina MiSeq sequencing data from multiple sample preparation methods in normal C57Bl/6J mice to validate that sample preparation and storage would not bias the outcome of antibody repertoire characterization. In this report, we also compared sequencing techniques and a bioinformatic workflow on the data output when we assessed the IgH and Igκ variable gene usage. This included assessments of our bioinformatic workflow on Illumina HiSeq and MiSeq datasets and is specifically designed to reduce bias, capture the most information from Ig sequences, and produce a data set that provides other data mining options. We validated our workflow by comparing our normal mouse MiSeq data to existing murine antibody repertoire studies validating it for future antibody repertoire studies.

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评估国际空间站小鼠组织中免疫球蛋白基因汇集的方法验证。
众所周知,太空飞行会影响免疫细胞群。特别是在太空飞行期间和地面生理模型中,脾脏 B 细胞数量会减少。虽然已经对太空飞行期间和之后的抗体异型变化进行了评估,但还没有在小鼠中对太空飞行对抗体组成的影响进行过广泛的描述。现在有了下一代测序和生物信息学工具来评估抗体复合物。我们现在可以确定免疫球蛋白基因片段的使用、连接区以及有助于特异性和多样性的修饰。由于国际空间站的限制,必须采用其他样本采集和储存方法。我们的研究小组比较了在正常 C57Bl/6J 小鼠中采用多种样本制备方法获得的 Illumina MiSeq 测序数据,以验证样本制备和储存不会对抗体复合物表征的结果产生偏差。在本报告中,我们还比较了测序技术和生物信息学工作流程在评估 IgH 和 Igκ 可变基因使用情况时的数据输出。这包括评估我们在 Illumina HiSeq 和 MiSeq 数据集上的生物信息学工作流程,该流程专门用于减少偏差,从 Ig 序列中获取最多信息,并生成可提供其他数据挖掘选项的数据集。我们将正常小鼠的 MiSeq 数据与现有的小鼠抗体谱系研究进行了比较,从而验证了我们的工作流程,并将其用于未来的抗体谱系研究。
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