Application of surface plasmon resonance imaging technique for iPSCs identification

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• 作者：Deependra Tyagi (1) (2)
  Javier Batista Perez (1) (2)
  Amita Nand (1) (2)
  Peizhe Wang (3)
  Jie Na (3)
  Jingsong Zhu (1) (2)
  
  1. National Center for Nanoscience and Technology ; University of Chinese Academy of Sciences ; Beijing ; 100190 ; China
  2. University of Chinese Academy of Sciences ; Beijing ; 100049 ; China
  3. Centre for Stem Cell Biology and Regenerative Medicine ; School of Medicine ; Tsinghua University ; Beijing ; 100084 ; China
  
• 关键词：Surface plasmon resonance imaging ; Antibody array ; iPSCs ; Embryonic stem cells ; Fibroblast cells ; 琛ㄩ潰绛夌婵€鍏冨叡鎸垚鍍?/li> 鎶椾綋闃靛垪 ; 璇卞澶氳兘骞茬粏鑳?/li> 鑳氳儙骞茬粏鑳?/li> 鎴愮氦缁寸粏鑳?/li>
• 刊名：Chinese Science Bulletin
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：60
• 期：4
• 页码：483-485
• 全文大小：419 KB
• 参考文献：1. Takahashi K, Yamanaka S (2006) Cell 126:663鈥?76
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• 刊物主题：Science, general; Life Sciences, general; Physics, general; Chemistry/Food Science, general; Earth Sciences, general; Engineering, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9541

文摘

Induced pluripotent stem cells (iPSCs) are an attractive cell source for regenerative medicine through cell therapy or drug screening. But application of iPSCs in regenerative medicine requires rapid and accurate characterization of iPSCs. Here, we demonstrate the detection of multiple antigens present in iPSC lysate using rapid, label-free surface plasmon resonance imaging (SPRi) assay. Validation of pluripotency is an important aspect of iPSC research. In this study, we fabricated antibody array against pluripotency biomarkers and found that our array successfully detect corresponding antigens in stem cell lysate. Each antibody recognized its specific antigens presented in iPSC lysates and a certain degree of variability was observed in comparison with other cell lysates. The results suggested that SPRi is a versatile technology feasible for the detection of multiple antigens presented in iPSC lysate. Further extension of this method may be applied in the characterization and high-throughput biomarker profiling of iPSCs.