High-throughput and ultra-sensitive single-cell profiling of multiple microRNAs and identification of human cancer-Reference-Cited by-同舟云学术

High-throughput and ultra-sensitive single-cell profiling of multiple microRNAs and identification of human cancer

Published:2019 Issue:70 Volume:55 Page:10404-10407
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Li Lu¹²³⁴⁵,Lu Meng¹²³⁴⁵,Fan Yuanyuan¹²³⁴⁵,Shui Lingling⁶⁷⁸⁹¹⁰^ORCID,Xie Shuting⁶⁷⁸⁹¹⁰,Sheng Renjie¹²³⁴⁵,Si Haibin¹²³⁴⁵,Li Qingling¹²³⁴⁵,Wang Yiguo¹¹¹²¹³¹⁰,Tang Bo¹²³⁴⁵^ORCID

Affiliation:

1. College of Chemistry

2. Chemical Engineering and Materials Science

3. Collaborative Innovation Center of Functionalized Probes for Chemical Imaging

4. Key Laboratory of Molecular and Nano Probes

5. Ministry of Education Shandong Normal University

6. Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays

7. South China Academy of Advanced Optoelectronics

8. South China Normal University

9. Guangzhou 510006

10. P. R. China

11. Shandong Provincial Qianfoshan Hospital

12. the Frist Hospital Affiliated with Shandong First Medical University

13. Jinan 250014

Abstract

We established an efficient method for single-cell multiple miRNA analysis by droplet microfluidics with high sensitivity and high throughput.

Funder

National Natural Science Foundation of China

Key Technology Research and Development Program of Shandong

Natural Science Foundation of Shandong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2019/CC/C9CC05553C

Reference24 articles.

1. The functions of animal microRNAs

2. MicroRNA: Function, Detection, and Bioanalysis

3. Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer's disease correlates with increased BACE1/ -secretase expression

4. MicroRNAs and complex diseases: from experimental results to computational models

5. Accurate Classification of Non–Small Cell Lung Carcinoma Using a Novel MicroRNA-Based Approach

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