Literature DB >> 30920557

Simplified Drop-seq workflow with minimized bead loss using a bead capture and processing microfluidic chip.

Marjan Biočanin1, Johannes Bues1, Riccardo Dainese1, Esther Amstad2, Bart Deplancke1.   

Abstract

Single-cell RNA-sequencing (scRNA-seq) has revolutionized biomedical research by enabling the in-depth analysis of cell-to-cell heterogeneity of tissues with unprecedented resolution. One of the catalyzing technologies is single cell droplet microfluidics, which has massively increased the overall cell throughput, routinely allowing the analysis of thousands of cells per experiment at a relatively low cost. Among several existing droplet-based approaches, the Drop-seq platform has emerged as one of the most widely used systems. Yet, this has surprisingly not incentivized major refinements of the method, thus restricting any lab implementation to the original Drop-seq setup, which is known to suffer from up to 80% bead loss during the process. In this study, we present a systematic re-engineering and optimization of Drop-seq: first, we re-designed the original dropleting device to be compatible with both air-pressure systems and syringe pumps, thus increasing the overall flexibility of the platform. Second, we devised an accompanying chip for post-encapsulation bead processing, which simplifies and massively increases Drop-seq's cell processing efficiency. Taken together, the presented optimization efforts result in a more flexible and efficient Drop-seq version.

Mesh:

Year:  2019        PMID: 30920557     DOI: 10.1039/c9lc00014c

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


  5 in total

Review 1.  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

2.  Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition.

Authors:  Johannes Bues; Marjan Biočanin; Joern Pezoldt; Riccardo Dainese; Antonius Chrisnandy; Saba Rezakhani; Wouter Saelens; Vincent Gardeux; Revant Gupta; Rita Sarkis; Julie Russeil; Yvan Saeys; Esther Amstad; Manfred Claassen; Matthias P Lutolf; Bart Deplancke
Journal:  Nat Methods       Date:  2022-02-14       Impact factor: 47.990

Review 3.  Microfluidics applications for high-throughput single cell sequencing.

Authors:  Wen-Min Zhou; Yan-Yan Yan; Qiao-Ru Guo; Hong Ji; Hui Wang; Tian-Tian Xu; Bolat Makabel; Christian Pilarsky; Gen He; Xi-Yong Yu; Jian-Ye Zhang
Journal:  J Nanobiotechnology       Date:  2021-10-11       Impact factor: 10.435

4.  Single-cell RNA-seq analysis reveals penaeid shrimp hemocyte subpopulations and cell differentiation process.

Authors:  Keiichiro Koiwai; Takashi Koyama; Soichiro Tsuda; Atsushi Toyoda; Kiyoshi Kikuchi; Hiroaki Suzuki; Ryuji Kawano
Journal:  Elife       Date:  2021-06-16       Impact factor: 8.140

5.  Linked optical and gene expression profiling of single cells at high-throughput.

Authors:  Jesse Q Zhang; Christian A Siltanen; Leqian Liu; Kai-Chun Chang; Zev J Gartner; Adam R Abate
Journal:  Genome Biol       Date:  2020-02-24       Impact factor: 13.583

  5 in total

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