A cell-based systems biology assessment of human blood to monitor immune responses after influenza vaccination.
A cell-based systems biology assessment of human blood to monitor immune responses after influenza vaccination.
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DOI：
10.1371/journal.pone.0118528
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Link AJ
中科院分区：
文献类型：
--
作者：
Hoek KL;Samir P;Howard LM;Niu X;Prasad N;Galassie A;Liu Q;Allos TM;Floyd KA;Guo Y;Shyr Y;Levy SE;Joyce S;Edwards KM;Link AJ
系统生物学是一种在生物系统中全面研究复杂相互作用的方法。大多数已发表的系统疫苗学研究都使用了全血或外周血单核细胞（PBMC）来监测疫苗接种后的免疫反应。由于人类血液由多种造血细胞类型组成，因此在分析全血或PBMC时会增加掩盖代表性不足细胞种群的反应的潜力。为了研究疫苗接种后单个细胞类型对免疫反应的贡献，我们建立了一种快速有效的方法来净化人类T和B细胞，天然杀伤（NK）细胞，髓样树枝状细胞（MDC），单核细胞和中性粒细胞，以及新鲜的中性粒细胞静脉血。纯化的细胞分离并在一天内处理。进行了RNA-SEQ和定量shot弹枪蛋白质组学，以确定在失活的季节性流感疫苗之前和之后的每种细胞类型的表达谱。我们的结果表明，由纯化的免疫细胞产生的转录组和蛋白质组学特征与PBMC显着不同。每种免疫细胞类型的差异表达分析还显示了疫苗接种后的早期时间点的独特转录组和蛋白质组学表达谱以及改变生物网络。该特定于细胞类型的信息提供了一种更全面的方法来监测疫苗反应。
Systems biology is an approach to comprehensively study complex interactions within a biological system. Most published systems vaccinology studies have utilized whole blood or peripheral blood mononuclear cells (PBMC) to monitor the immune response after vaccination. Because human blood is comprised of multiple hematopoietic cell types, the potential for masking responses of under-represented cell populations is increased when analyzing whole blood or PBMC. To investigate the contribution of individual cell types to the immune response after vaccination, we established a rapid and efficient method to purify human T and B cells, natural killer (NK) cells, myeloid dendritic cells (mDC), monocytes, and neutrophils from fresh venous blood. Purified cells were fractionated and processed in a single day. RNA-Seq and quantitative shotgun proteomics were performed to determine expression profiles for each cell type prior to and after inactivated seasonal influenza vaccination. Our results show that transcriptomic and proteomic profiles generated from purified immune cells differ significantly from PBMC. Differential expression analysis for each immune cell type also shows unique transcriptomic and proteomic expression profiles as well as changing biological networks at early time points after vaccination. This cell type-specific information provides a more comprehensive approach to monitor vaccine responses.
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影响因子：
4.1
作者：
Debey-Pascher, Svenja;Hofmann, Andrea;Staratschek-Jox, Andrea
通讯作者：
Staratschek-Jox, Andrea
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
4.4
作者：
Eng, Jimmy K.;Fischer, Bernd;MacCoss, Michael J.
通讯作者：
MacCoss, Michael J.
影响因子：
32.4
作者：
Obermoser, Gerlinde;Presnell, Scott;Chaussabel, Damien
通讯作者：
Chaussabel, Damien
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y