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Finding Murine t-Cell Receptor Repertoire Shifts Due to Ovalbumin Challenges Using High Throughput Sequencing

机译:使用高通量测序发现由于卵清蛋白挑战而导致的小鼠t细胞受体库变化

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Thymocyte driven cellular immunity utilize membrane-bound receptors to recognize specificdisease antigens and initiate the signaling cascade to provide the appropriate immune response. Anindividual may have billions of thymocyte cells (t-cells) each with a unique receptor comprise theirrepertoire and with newly developed high throughput sequencing (HTS) technologies theseexpressed protein receptors can be sequenced. Analyzing the shifts in t-cell receptor (TCR)repertoires due to disease challenges can elucidate how immune systems respond and adapt to cuesfrom the environment. The TCR is formed from specific chromosomal regions surrounding a highlyvariable, antigen interrogating portion of the receptor. Challenging an individual with a particularantigen known to give a specific immune response is thought to shift or expand the repertoire toinclude new TCRs directly targeting the foreign disease antigen. These responses are observed aschanges in the distribution and diversity of TCR sequences when compared with repertoires inhealthy and unchallenged individuals.HTS of the TCR mRNA harvested from sorted CD4~+ & CD8~+ t-cells shows the conservednature of endogenous and exogenous antigen responses and how the immune system selects differentt-cell lines to combat diseases and antigens. Examination of the TCR-gene recombinations, Vjregionsin the α-chain and VDJ-regions of the more complex β-chain, gives insight into themechanisms of t-cell maturation and selection process. This can also explain evolutionarily how themodern immune system has developed whether through co-evolution with common diseases andviruses or through other mechanisms.Preliminary experimental data show proper recognition of utilized genes and recombinationsequence with distinct TCR repertoires existing in the control groups and cell lines. Presently, errorrates in the 454 sequencing reactions and t-cell gene recognition recover approximately 40% of theall TCR specific sequences harvested from lymph node t-cells. Developing better mRNA isolationtechniques and sequence analysis algorithms to increase recognition accuracy and anticipateerroneous miscalled nucleotides will increase the total number of functional sequences collected inthe experiment and create a platform technology for analyzing and characterizing the immune systemon an individual basis.
机译:胸腺细胞驱动的细胞免疫利用膜结合受体识别特定 疾病抗原并引发信号级联以提供适当的免疫应答。一个 个体可以具有数十亿个胸腺细胞细胞(T细胞),每个细胞包含独特的受体包括它们的 曲目和新开发的高吞吐量测序(HTS)技术这些 表达的蛋白质受体可以测序。分析T细胞受体的变化(TCR) 由于疾病挑战,曲目可以阐明免疫系统如何回应和适应提示 来自环境。 TCR由高度围绕的特定染色体地区形成 受体的可变,抗原询问部分。用特定的人挑战个人 已知给予特异性免疫应答的抗原被认为转变或扩大曲目 包括直接针对外国疾病抗原的新TCR。这些响应被观察到 与曲目相比,TCR序列分布和多样性的变化 健康和未充电的人。 从分类的CD4〜+和CD8〜+ T细胞收获的TCR mRNA的HTS显示保守的 内源性和外源性抗原反应的性质及免疫系统如何选择不同 T细胞系为作用疾病和抗原。检查TCR-Gene重组,vjregions 在α链和更复杂的β链的α链条和VDJ区域中,洞察力 T细胞成熟和选择过程的机制。这也可以解释进化方式 现代免疫系统已经开发了是否通过与常见疾病的共同演变 病毒或通过其他机制。 初步实验数据显示适当识别利用基因和重组 在对照组和细胞系中存在具有不同TCR曲目的序列。目前,错误 454序列测序反应和T细胞基因识别的速率恢复约40% 从淋巴结T细胞收获的所有TCR特异性序列。开发更好的mRNA隔离 技术和序列分析算法增加识别准确性和预期 错误的错误的核苷酸将增加收集的功能序列的总数 实验并创建平台技术,用于分析和表征免疫系统 单独的基础。

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