Literature DB >> 33414677

Discrepant mRNA and Protein Expression in Immune Cells.

Jiawei Li1, Yi Zhang1, Cheng Yang1, Ruiming Rong1.   

Abstract

With the development of single-cell mRNA sequencing (scRNA-seq), researchers have attempted to identify new methods for performing in-depth studies of immune cells. However, the discrepancies between the mRNA levels and the levels of surface proteins have confused many researchers. Here, we report a significant and interesting phenomenon in which the mRNA and protein expression levels were mismatched in immune cells. We concluded that scRNA-seq should be combined with other sequencing methods in single-cell studies (e.g., CITE-seq). The simultaneous assessment of both mRNA and protein expression will enhance the precision and credibility of the results.
© 2020 Bentham Science Publishers.

Entities:  

Keywords:  Single-cell mRNA sequencing; immune cell; mRNA; myeloid-derived cells; protein; protein expression

Year:  2020        PMID: 33414677      PMCID: PMC7770634          DOI: 10.2174/1389202921999200716103758

Source DB:  PubMed          Journal:  Curr Genomics        ISSN: 1389-2029            Impact factor:   2.236


  10 in total

1.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

2.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

Review 3.  On the Dependency of Cellular Protein Levels on mRNA Abundance.

Authors:  Yansheng Liu; Andreas Beyer; Ruedi Aebersold
Journal:  Cell       Date:  2016-04-21       Impact factor: 41.582

4.  Multiplexed quantification of proteins and transcripts in single cells.

Authors:  Vanessa M Peterson; Kelvin Xi Zhang; Namit Kumar; Jerelyn Wong; Lixia Li; Douglas C Wilson; Renee Moore; Terrill K McClanahan; Svetlana Sadekova; Joel A Klappenbach
Journal:  Nat Biotechnol       Date:  2017-08-30       Impact factor: 54.908

5.  CITE-Seq Hits Vascular Medicine.

Authors:  Ryosuke Saigusa; Klaus Ley
Journal:  Clin Chem       Date:  2020-06-01       Impact factor: 8.327

6.  Inflammatory Bowel Disease Through the Lens of Single-cell RNA-seq Technologies.

Authors:  Daniele Corridoni; Thomas Chapman; Agne Antanaviciute; Jack Satsangi; Alison Simmons
Journal:  Inflamm Bowel Dis       Date:  2020-10-23       Impact factor: 5.325

Review 7.  Myeloid-Derived Suppressor Cells.

Authors:  Dmitry I Gabrilovich
Journal:  Cancer Immunol Res       Date:  2017-01       Impact factor: 11.151

Review 8.  Myeloid-derived suppressor cells coming of age.

Authors:  Filippo Veglia; Michela Perego; Dmitry Gabrilovich
Journal:  Nat Immunol       Date:  2018-01-18       Impact factor: 25.606

9.  Massively parallel digital transcriptional profiling of single cells.

Authors:  Grace X Y Zheng; Jessica M Terry; Phillip Belgrader; Paul Ryvkin; Zachary W Bent; Ryan Wilson; Solongo B Ziraldo; Tobias D Wheeler; Geoff P McDermott; Junjie Zhu; Mark T Gregory; Joe Shuga; Luz Montesclaros; Jason G Underwood; Donald A Masquelier; Stefanie Y Nishimura; Michael Schnall-Levin; Paul W Wyatt; Christopher M Hindson; Rajiv Bharadwaj; Alexander Wong; Kevin D Ness; Lan W Beppu; H Joachim Deeg; Christopher McFarland; Keith R Loeb; William J Valente; Nolan G Ericson; Emily A Stevens; Jerald P Radich; Tarjei S Mikkelsen; Benjamin J Hindson; Jason H Bielas
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

10.  A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level.

Authors:  Florian Mair; Jami R Erickson; Valentin Voillet; Yannick Simoni; Timothy Bi; Aaron J Tyznik; Jody Martin; Raphael Gottardo; Evan W Newell; Martin Prlic
Journal:  Cell Rep       Date:  2020-04-07       Impact factor: 9.423

  10 in total
  3 in total

1.  SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics.

Authors:  Xinjun Wang; Zhongli Xu; Haoran Hu; Xueping Zhou; Yanfu Zhang; Robert Lafyatis; Kong Chen; Heng Huang; Ying Ding; Richard H Duerr; Wei Chen
Journal:  PNAS Nexus       Date:  2022-08-19

2.  Molecular mechanisms governing circulating immune cell heterogeneity across different species revealed by single-cell sequencing.

Authors:  Zhibin Li; Chengcheng Sun; Fei Wang; Xiran Wang; Jiacheng Zhu; Lihua Luo; Xiangning Ding; Yanan Zhang; Peiwen Ding; Haoyu Wang; Mingyi Pu; Yuejiao Li; Shiyou Wang; Qiuyu Qin; Yanan Wei; Jian Sun; Xiangdong Wang; Yonglun Luo; Dongsheng Chen; Wei Qiu
Journal:  Clin Transl Med       Date:  2022-01

3.  Molecular Characteristics and Distribution of Adult Human Corneal Immune Cell Types.

Authors:  Yanxiu Li; Joyce Jeong; Weitao Song
Journal:  Front Immunol       Date:  2022-02-23       Impact factor: 7.561

  3 in total

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