Ultra-fast and automated immunohistofluorescent multistaining using a microfluidic tissue processor

被引:20
作者
Cappi, Giulia [1 ]
Dupouy, Diego Gabriel [1 ]
Comino, Marta Aurelia [1 ]
Ciftlik, Ata Tuna [1 ]
机构
[1] Lunaphore Technol SA, EPFL Innovat Pk,Bldg C, CH-1015 Lausanne, Switzerland
关键词
TYRAMIDE SIGNAL AMPLIFICATION; PRIMARY ANTIBODIES; IMMUNOHISTOCHEMISTRY; DIAGNOSIS; ELUTION;
D O I
10.1038/s41598-019-41119-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multistaining of a tissue section targeting multiple markers allows to reveal complex interplays in a tumor environment. However, the resource-intensive and impractically long nature of iterative multiplexed immunostainings prohibits its practical implementation in daily routine, even when using work-flow automation systems. Here, we report a fully automated and ultra-fast multistaining using a microfluidic tissue processor (MTP) in as short as 20 minutes per marker, by immunofluorescent staining employing commercially available tyramide signal amplification polymer precipitation by horse-radish peroxidase (HRP) activation. The reported duration includes (i) 15 minutes for the entire fluidic exchange and reagent incubation necessary for the immunostaining and (ii) 5 minutes for the heat-induced removal of the applied antibodies. Using the automated MTP, we demonstrated a 4-plex automated multistaining with clinically relevant biomarkers within 84 minutes, showing perfect agreement with the state-of-the-art microwave treatment antibody removal. The presented HRP-based method is in principle extendable to multistaining by both tyramides accommodating higher number of fluorescent channels and multi-color chromogenic staining. We anticipate that our automated multistaining with a turn-around time shorter than existing monoplex immunohistochemistry methods has the potential to enable multistaining in routine without disturbing the current laboratory workflow, opening perspectives for implementation of -omics approaches in tissue diagnostics.
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页数:12
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