Literature DB >> 35181197

Revealing new biology from multiplexed, metal-isotope-tagged, single-cell readouts.

Reema Baskar1, Sam C Kimmey1, Sean C Bendall2.   

Abstract

Mass cytometry (MC) is a recent technology that pairs plasma-based ionization of cells in suspension with time-of-flight (TOF) mass spectrometry to sensitively quantify the single-cell abundance of metal-isotope-tagged affinity reagents to key proteins, RNA, and peptides. Given the ability to multiplex readouts (~50 per cell) and capture millions of cells per experiment, MC offers a robust way to assay rare, transitional cell states that are pertinent to human development and disease. Here, we review MC approaches that let us probe the dynamics of cellular regulation across multiple conditions and sample types in a single experiment. Additionally, we discuss current limitations and future extensions of MC as well as computational tools commonly used to extract biological insight from single-cell proteomic datasets.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  cell cycle; high-dimensional data; mass cytometry; metabolism; single-cell analysis; single-cell proteomics

Mesh:

Substances:

Year:  2022        PMID: 35181197      PMCID: PMC9106853          DOI: 10.1016/j.tcb.2022.01.012

Source DB:  PubMed          Journal:  Trends Cell Biol        ISSN: 0962-8924            Impact factor:   21.167


  77 in total

1.  Automated identification of stratifying signatures in cellular subpopulations.

Authors:  Robert V Bruggner; Bernd Bodenmiller; David L Dill; Robert J Tibshirani; Garry P Nolan
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-16       Impact factor: 11.205

2.  Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

Authors:  Sean C Bendall; Erin F Simonds; Peng Qiu; El-ad D Amir; Peter O Krutzik; Rachel Finck; Robert V Bruggner; Rachel Melamed; Angelica Trejo; Olga I Ornatsky; Robert S Balderas; Sylvia K Plevritis; Karen Sachs; Dana Pe'er; Scott D Tanner; Garry P Nolan
Journal:  Science       Date:  2011-05-06       Impact factor: 47.728

3.  A platinum-based covalent viability reagent for single-cell mass cytometry.

Authors:  Harris G Fienberg; Erin F Simonds; Wendy J Fantl; Garry P Nolan; Bernd Bodenmiller
Journal:  Cytometry A       Date:  2012-05-10       Impact factor: 4.355

4.  Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells.

Authors:  Eleni P Mimitou; Caleb A Lareau; Kelvin Y Chen; Andre L Zorzetto-Fernandes; Yuhan Hao; Yusuke Takeshima; Wendy Luo; Tse-Shun Huang; Bertrand Z Yeung; Efthymia Papalexi; Pratiksha I Thakore; Tatsuya Kibayashi; James Badger Wing; Mayu Hata; Rahul Satija; Kristopher L Nazor; Shimon Sakaguchi; Leif S Ludwig; Vijay G Sankaran; Aviv Regev; Peter Smibert
Journal:  Nat Biotechnol       Date:  2021-06-03       Impact factor: 68.164

5.  The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.

Authors:  Cole Trapnell; Davide Cacchiarelli; Jonna Grimsby; Prapti Pokharel; Shuqiang Li; Michael Morse; Niall J Lennon; Kenneth J Livak; Tarjei S Mikkelsen; John L Rinn
Journal:  Nat Biotechnol       Date:  2014-03-23       Impact factor: 54.908

6.  Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells.

Authors:  Zinaida Good; Luciene Borges; Nora Vivanco Gonzalez; Bita Sahaf; Nikolay Samusik; Robert Tibshirani; Garry P Nolan; Sean C Bendall
Journal:  Nat Biotechnol       Date:  2019-02-11       Impact factor: 54.908

7.  PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells.

Authors:  F Alexander Wolf; Fiona K Hamey; Mireya Plass; Jordi Solana; Joakim S Dahlin; Berthold Göttgens; Nikolaus Rajewsky; Lukas Simon; Fabian J Theis
Journal:  Genome Biol       Date:  2019-03-19       Impact factor: 13.583

8.  Integrating transcription-factor abundance with chromatin accessibility in human erythroid lineage commitment.

Authors:  Reema Baskar; Amy F Chen; Patricia Favaro; Warren Reynolds; Fabian Mueller; Luciene Borges; Sizun Jiang; Hyun Shin Park; Eric T Kool; William J Greenleaf; Sean C Bendall
Journal:  Cell Rep Methods       Date:  2022-03-21

9.  A Universal Live Cell Barcoding-Platform for Multiplexed Human Single Cell Analysis.

Authors:  Felix J Hartmann; Erin F Simonds; Sean C Bendall
Journal:  Sci Rep       Date:  2018-07-17       Impact factor: 4.379

10.  Single-cell mass cytometry reveals cross-talk between inflammation-dampening and inflammation-amplifying cells in osteoarthritic cartilage.

Authors:  Fiorella Carla Grandi; Reema Baskar; Piera Smeriglio; Shravani Murkherjee; Pier Francesco Indelli; Derek F Amanatullah; Stuart Goodman; Constance Chu; Sean Bendall; Nidhi Bhutani
Journal:  Sci Adv       Date:  2020-03-13       Impact factor: 14.136

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