Literature DB >> 31251569

Nondestructive Identification and Accurate Isolation of Single Cells through a Chip with Raman Optical Tweezers.

Teng Fang, Wenhao Shang, Chang Liu, Jingjing Xu, Dongping Zhao, Yaoyao Liu, Anpei Ye.   

Abstract

Raman optical tweezers (ROT) as a label-free technique plays an important role in single-cell study such as heterogeneity of tumor and microbial cells. Herein we designed a chip utilizing ROT to isolate a specific single cell. The chip was made from a polydimethylsiloxane (PDMS) slab and formed into a gourd-shaped reservoir with a connected channel on a cover glass. On the chip an individual cell could be isolated from a cell crowd and then extracted with ∼0.5 μL of phosphate-buffered saline (PBS) via pipet immediately after Raman spectral measurements of the same cell. As verification, we separated four different type of cells including BGC823 gastric cancer cells, erythrocytes, lymphocytes, and E. coli cells and quantifiably characterized the heterogeneity of the cancer cells, leukocyte subtype, and erythrocyte status, respectively. The average time of identifying and isolating a specific cell was 3 min. Cell morphology comparison and viability tests showed that the successful rate of single-cell isolation was about 90%. Thus, we believe our platform could further couple other single-cell techniques such as single-cell sequencing and become a multiperspective analytical approach at the level of a single cell.

Entities:  

Year:  2019        PMID: 31251569     DOI: 10.1021/acs.analchem.9b01604

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy.

Authors:  Jing Wen; Tianchen Tang; Saima Kanwal; Yongzheng Lu; Chunxian Tao; Lulu Zheng; Dawei Zhang; Zhengqin Gu
Journal:  Front Chem       Date:  2021-04-12       Impact factor: 5.221

2.  Compound Raman microscopy for rapid diagnosis and antimicrobial susceptibility testing of pathogenic bacteria in urine.

Authors:  Weifeng Zhang; Hongyi Sun; Shipei He; Xun Chen; Lin Yao; Liqun Zhou; Yi Wang; Pu Wang; Weili Hong
Journal:  Front Microbiol       Date:  2022-08-24       Impact factor: 6.064

  2 in total

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