Literature DB >> 32293129

Single-Cell Analysis Using Droplet Microfluidics.

Kinga Matuła1, Francesca Rivello1, Wilhelm T S Huck1.   

Abstract

Droplet microfluidics has revolutionized the study of single cells. The ability to compartmentalize cells within picoliter droplets in microfluidic devices has opened up a wide range of strategies to extract information at the genomic, transcriptomic, proteomic, or metabolomic level from large numbers of individual cells. Studying the different molecular landscapes at single-cell resolution has provided the authors with a detailed picture of intracellular heterogeneity and the resulting changes in cellular phenotypes. In addition, these technologies have aided in the discovery of rare cells in tumors or in the immune system, and left the authors with a deeper understanding of the fundamental biological processes that determine cell fate. This review aims to provide a detailed overview of the various droplet microfluidic strategies reported in the literature, taking into account the sometimes subtle differences in workflow or reagents that enable or improve certain protocols. Specifically, approaches to targeted- and whole-genome analysis, as well as whole-transcriptome profiling techniques, are reviewed. In addition, an up-to-date overview of new methods to characterize and quantify single-cell protein levels, and of developments to screen secreted molecules such as antibodies, cytokines, or metabolites at the single-cell level, is provided.
© 2019 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  droplet microfluidics; genomes; proteomes; single-cell; transcriptomes

Mesh:

Substances:

Year:  2019        PMID: 32293129     DOI: 10.1002/adbi.201900188

Source DB:  PubMed          Journal:  Adv Biosyst        ISSN: 2366-7478


  38 in total

1.  Is microfluidics the "assembly line" for CRISPR-Cas9 gene-editing?

Authors:  Fatemeh Ahmadi; Angela B V Quach; Steve C C Shih
Journal:  Biomicrofluidics       Date:  2020-11-24       Impact factor: 2.800

Review 2.  Chemical Analysis of Single Cells and Organelles.

Authors:  Keke Hu; Tho D K Nguyen; Stefania Rabasco; Pieter E Oomen; Andrew G Ewing
Journal:  Anal Chem       Date:  2020-12-07       Impact factor: 6.986

3.  Microfluidic Platform for the Isolation of Cancer-Cell Subpopulations Based on Single-Cell Glycolysis.

Authors:  Claudia Zielke; Ching W Pan; Adriana J Gutierrez Ramirez; Cameron Feit; Chandler Dobson; Catherine Davidson; Brody Sandel; Paul Abbyad
Journal:  Anal Chem       Date:  2020-04-30       Impact factor: 6.986

4.  Untethered Single Cell Grippers for Active Biopsy.

Authors:  Qianru Jin; Yuqian Yang; Julian A Jackson; ChangKyu Yoon; David H Gracias
Journal:  Nano Lett       Date:  2020-06-08       Impact factor: 11.189

5.  Conformal single cell hydrogel coating with electrically induced tip streaming of an AC cone.

Authors:  Zehao Pan; Loan Bui; Vivek Yadav; Fei Fan; Hsueh-Chia Chang; Donny Hanjaya-Putra
Journal:  Biomater Sci       Date:  2021-05-04       Impact factor: 6.843

6.  Quantitative Approach for Protein Analysis in Small Cell Ensembles by an Integrated Microfluidic Chip with MALDI Mass Spectrometry.

Authors:  Mian Yang; Jorvani Cruz Villarreal; Nethmi Ariyasinghe; Rory Kruithoff; Robert Ros; Alexandra Ros
Journal:  Anal Chem       Date:  2021-04-05       Impact factor: 6.986

Review 7.  Review of Microfluidic Methods for Cellular Lysis.

Authors:  Emil Grigorov; Boris Kirov; Marin B Marinov; Vassil Galabov
Journal:  Micromachines (Basel)       Date:  2021-04-28       Impact factor: 2.891

Review 8.  Enhanced single-cell encapsulation in microfluidic devices: From droplet generation to single-cell analysis.

Authors:  Si Da Ling; Yuhao Geng; An Chen; Yanan Du; Jianhong Xu
Journal:  Biomicrofluidics       Date:  2020-12-22       Impact factor: 2.800

Review 9.  The study of single cells in diabetic kidney disease.

Authors:  Harmandeep Kaur; Andrew Advani
Journal:  J Nephrol       Date:  2021-01-21       Impact factor: 3.902

Review 10.  Single-Cell Transcriptome Analysis as a Promising Tool to Study Pluripotent Stem Cell Reprogramming.

Authors:  Hyun Kyu Kim; Tae Won Ha; Man Ryul Lee
Journal:  Int J Mol Sci       Date:  2021-06-01       Impact factor: 5.923

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