Literature DB >> 34240574

Multiplexing Methods for Simultaneous Large-Scale Transcriptomic Profiling of Samples at Single-Cell Resolution.

Junyun Cheng1, Jie Liao1, Xin Shao1, Xiaoyan Lu1, Xiaohui Fan1,2.   

Abstract

Barcoding technology has greatly improved the throughput of cells and genes detected in single-cell RNA sequencing (scRNA-seq) studies. Recently, increasing studies have paid more attention to the use of this technology to increase the throughput of samples, as it has greatly reduced the processing time, technical batch effects, and library preparation costs, and lowered the per-sample cost. In this review, the various DNA-based barcoding methods for sample multiplexing are focused on, specifically, on the four major barcoding strategies. A detailed comparison of the barcoding methods is also presented, focusing on aspects such as sample/cell throughput and gene detection, and guidelines for choosing the most appropriate barcoding technique according to the personalized requirements are developed. Finally, the critical applications of sample multiplexing and technical challenges in combinatorial labeling, barcoding in vivo, and multimodal tagging at the spatially resolved resolution, as well as, the future prospects of multiplexed scRNA-seq, for example, prioritizing and predicting the severity of coronavirus disease 2019 (COVID-19) in patients of different gender and age are highlighted.
© 2021 The Authors. Advanced Science published by Wiley-VCH GmbH.

Entities:  

Keywords:  DNA-based barcoding; sample multiplexing; single-cell RNA sequencing

Year:  2021        PMID: 34240574     DOI: 10.1002/advs.202101229

Source DB:  PubMed          Journal:  Adv Sci (Weinh)        ISSN: 2198-3844            Impact factor:   16.806


  4 in total

1.  Universal Surface Biotinylation: a simple, versatile and cost-effective sample multiplexing method for single-cell RNA-seq analysis.

Authors:  Michihiko Sugimoto; Yuhki Tada; Shigeyuki Shichino; Saeko Koyamatsu; Noriyuki Tsumaki; Kuniya Abe
Journal:  DNA Res       Date:  2022-05-27       Impact factor: 4.477

Review 2.  Research perspectives-Pipelines to human tendon transcriptomics.

Authors:  Lorenzo Ramos-Mucci; Paula Sarmiento; Dianne Little; Sarah Snelling
Journal:  J Orthop Res       Date:  2022-03-16       Impact factor: 3.102

Review 3.  High-throughput single-сell sequencing in cancer research.

Authors:  Qingzhu Jia; Han Chu; Zheng Jin; Haixia Long; Bo Zhu
Journal:  Signal Transduct Target Ther       Date:  2022-05-03

Review 4.  Advances in application of single-cell RNA sequencing in cardiovascular research.

Authors:  Yue Hu; Ying Zhang; Yutong Liu; Yan Gao; Tiantian San; Xiaoying Li; Sensen Song; Binglong Yan; Zhuo Zhao
Journal:  Front Cardiovasc Med       Date:  2022-07-26
  4 in total

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