Low-Volume Label-Free Detection of Molecule-Protein Interactions on Microarrays by Imaging Reflectometric Interferometry

2016 ◽  
Vol 22 (4) ◽  
pp. 437-446 ◽  
Author(s):  
Juergen Burger ◽  
Christin Rath ◽  
Johannes Woehrle ◽  
Philipp A. Meyer ◽  
Nessim Ben Ammar ◽  
...  

This system allows the high-throughput protein interaction analysis on microarrays. We apply the interference technology 1λ–imaging reflectometric interferometry (iRIf) as a label-free detection method and create microfluidic flow cells in microscope slide format for low reagent consumption and lab work compatibility. By now, most prominent for imaging label-free interaction analyses on microarrays are imaging surface plasmon resonance (SPR) methods, quartz crystal microbalance, or biolayer interferometry. SPR is sensitive against temperature drifts and suffers from plasmon crosstalk, and all systems lack array size (maximum 96 spots). Our detection system is robust against temperature drifts. Microarrays are analyzed with a spatial resolution of 7 µm and time resolution of ≤50 fps. System sensitivity is competitive, with random noise of <5 × 10−5 and baseline drift of <3 × 10−6. Currently available spotting technologies limit array sizes to ~4 spots/mm2 (1080 spots/array); our detection system would allow ~40 spots/mm2 (10,800 spots/array). The microfluidic flow cells consist of structured PDMS inlays sealed by versatilely coated glass slides immobilizing the microarray. The injection protocol determines reagent volumes, priming rates, and flow cell temperatures for up to 44 reagents; volumes of ≤300 µL are validated. The system is validated physically by the biotinylated bovine serum albumin streptavidin assay and biochemically by thrombin aptamer interaction analysis, resulting in a KD of ~100 nM.

2020 ◽  
Author(s):  
Bolin Wu ◽  
Haitao Shang ◽  
Xitian Liang ◽  
Huajing Yang Huajing Yang ◽  
Hui Jing ◽  
...  

Abstract Background: Hepatocellular carcinoma (HCC) poses a severe threat to human health. The NET-1 protein has been proved to be strongly associated with HCC proliferation and metastasis in our previous study. Methods: Here, we developed a label-free proteome mass spectrometry workflow to analyze formalin-fixed and paraffin-embedded HCC xenograft samples collected in our previous study. Results: The result showed that 78 proteins were differentially expressed after NET-1 protein inhibited. Among them, the expression of 61 proteins up-regulated and the expression of 17 proteins were significantly down-regulated. Of the differentially expressed proteins, the vast majority of Gene Ontology enrichment terms belong to the biological process. The KEGG pathway enrichment analysis showed that the 78 differentially expressed proteins significantly enriched in 45 pathways. We concluded that the function of the NET-1 gene is not only to regulate HCC but also to participate in a variety of biochemical metabolic pathways in the human body. Furthermore, the protein-protein interaction analysis indicated that the interactions of differentially expressed proteins are incredibly sophisticated. All the protein-protein interactions happened after the NET-1 gene has been silenced. Conclusions: Finally, our study also provides a useful proposal for targeted therapy based on tetraspanin proteins to treat HCC, and further mechanism investigations are needed to reveal a more detailed mechanism of action for NET-1 protein regulation of HCC.


2013 ◽  
Vol 85 (9) ◽  
pp. 4392-4397 ◽  
Author(s):  
Guo-Jun Zhang ◽  
Min Joon Huang ◽  
Jun’An Jason Ang ◽  
Qunfeng Yao ◽  
Yong Ning

2008 ◽  
Vol 80 (12) ◽  
pp. 4651-4658 ◽  
Author(s):  
Anpan Han ◽  
Marc Creus ◽  
Gregor Schürmann ◽  
Vincent Linder ◽  
Thomas R. Ward ◽  
...  

2016 ◽  
Vol 22 (32) ◽  
pp. 11180-11185 ◽  
Author(s):  
Xiuru Li ◽  
Sharon J. H. Martin ◽  
Zoeisha S. Chinoy ◽  
Lin Liu ◽  
Brandon Rittgers ◽  
...  

2005 ◽  
Vol 102 (9) ◽  
pp. 3208-3212 ◽  
Author(s):  
W. U. Wang ◽  
C. Chen ◽  
K.-h. Lin ◽  
Y. Fang ◽  
C. M. Lieber

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