Literature DB >> 34263282

Biomarker barcodes: multiplexed microfluidic immunohistochemistry enables high-throughput analysis of tissue microarray.

Chang Hyun Cho1, Minkyung Cho1, Je-Kyun Park2.   

Abstract

We present a multiplexed microfluidic immunohistochemistry (IHC) technology that enables high-throughput analysis of tissue microarrays (TMAs) using the patterns of biomarker barcodes, which consist of a series of expressed linear patterns of specific biomarkers. A multichannel poly(dimethylsiloxane) microfluidic device was reversibly assembled by the pressure of simple equipment for multiplexed IHC on each core of TMA or cell microarray (CMA) section slides. By injecting primary antibodies from different biomarkers independently into each channel, multiplexed immunostaining can be performed on each core of TMA. We confirmed the equal immunostaining quality regardless of the channel orders and core positions in the slide. Four different biomarkers (ER, PR, HER2, and Ki67) were used for the demonstration of distinctive expression patterns on CMAs which consist of six different breast cancer cell lines, and it was confirmed that these bar-like signals could be a biomarker barcode for the TMA core. A biomarker barcode of breast cancer patient-derived TMA was quickly scanned by a slide scanner and compared to the conventional method for breast cancer diagnosis. This "barcode-IHC" concept, which has been verified by performing multiplexed microfluidic IHC on CMA and TMA samples, provides high reproducibility and the potential of high-throughput screening with molecular diagnostic capability.

Entities:  

Year:  2021        PMID: 34263282     DOI: 10.1039/d1lc00375e

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  3 in total

1.  One-Chip Isolation of Drug-Resistant Acute Myeloid Leukemia Cells with CXCR4-Targeted Magnetic Fluorescent Nanoprobes.

Authors:  Fan Wang; Yuqi Jiang; Luhai Wang; Yi Chen; Yu Zhang; Ming Ma
Journal:  Nanomaterials (Basel)       Date:  2022-05-17       Impact factor: 5.719

2.  Machine Learning and Novel Biomarkers Associated with Immune Infiltration for the Diagnosis of Esophageal Squamous Cell Carcinoma.

Authors:  Jipeng Zhang; Nian Zhang; Xin Yang; Xiangbin Xin; Cheng-Hui Jia; Sen Li; Qiang Lu; Tao Jiang; Tao Wang
Journal:  J Oncol       Date:  2022-08-30       Impact factor: 4.501

3.  InfectionCMA: A Cell MicroArray Approach for Efficient Biomarker Screening in In Vitro Infection Assays.

Authors:  Ana C Magalhães; Sara Ricardo; Ana C Moreira; Mariana Nunes; Margarida Tavares; Ricardo J Pinto; Maria Salomé Gomes; Luisa Pereira
Journal:  Pathogens       Date:  2022-03-03
  3 in total

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