journal article·2023-03-29

Lossless Immunocytochemistry Based on Large-Scale Porous Hydrogel Pellicle for Accurate Rare Cell Analysis

Hyeong Jung Woo, Seung-Hoon Kim, Hyun Gyu Kang, Taehoon Kim, Sooyeol Kim, Jong Man Kim, Jae Young Kim, Seung Joon Lee, Young Zoon Kim, So Yeon Oh, Ji Hyae Lim, Hyun Mee Ryu, Minseok S. Kim

ACS Applied Materials & Interfaces· Volume 15· Issue 12
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Abstract

Rare cells, such as circulating tumor cells or circulating fetal cells, provide important information for the diagnosis and prognosis of cancer and prenatal diagnosis. Since undercounting only a few cells can lead to significant misdiagnosis and incorrect decisions in subsequent treatment, it is crucial to minimize cell loss, particularly for rare cells. Moreover, the morphological and genetic information on cells should be preserved as intact as possible for downstream analysis. The conventional immunocytochemistry (ICC), however, fails to meet these requirements, causing unexpected cell loss and deformation of the cell organelles which may mislead the classification of benign and malignant cells. In this study, a novel ICC technique for preparing lossless cellular specimens was developed to improve the diagnostic accuracy of rare cell analysis and analyze intact cellular morphology. To this end, a robust and reproducible porous hydrogel pellicle was developed. This hydrogel encapsulates cells to minimize cell loss from the repeated exchange of reagents and prevent cell deformation. The soft hydrogel pellicle allows stable and intact cell picking for further downstream analysis, which is difficult with conventional ICC methods that permanently immobilize cells. The lossless ICC platform will pave the way for robust and precise rare cell analysis toward clinical practice.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Cancer Cells and Metastasis · Microfluidic and Bio-sensing Technologies · Single-cell and spatial transcriptomics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of New Biology, DGIST, Daegu 42988, Republic of Korea

CTCELLS Inc., Daegu 42988, Republic of Korea

Division of Neuro-oncology and Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea

Oncology & Hematology Clinic, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea

Smart MEC Healthcare R&D Center, CHA Future Medicine Research Institute, CHA Bundang Medical Center, Seongnam 13496, Republic of Korea

Department of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Republic of Korea

Funding

Ministry of Science, ICT and Future Planning · CTCELLS, Inc.

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