Literature DB >> 31729152

Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.

Liwei Yang1, Justin George2, Jun Wang1.   

Abstract

The ability to comprehensively profile cellular heterogeneity in functional proteome is crucial in advancing the understanding of cell behavior, organism development, and disease mechanisms. Conventional bulk measurement by averaging the biological responses across a population often loses the information of cellular variations. Single-cell proteomic technologies are becoming increasingly important to understand and discern cellular heterogeneity. The well-established methods for single-cell protein analysis based on flow cytometry and fluorescence microscopy are limited by the low multiplexing ability owing to the spectra overlap of fluorophores for labeling antibodies. Recent advances in mass spectrometry (MS), microchip, and reiterative staining-based techniques for single-cell proteomics have enabled the evaluation of cellular heterogeneity with high throughput, increased multiplexity, and improved sensitivity. In this review, the principles, developments, advantages, and limitations of these advanced technologies in analysis of single-cell proteins, along with their biological applications to study cellular heterogeneity, are described. At last, the remaining challenges, possible strategies, and future opportunities that will facilitate the improvement and broad applications of single-cell proteomic technologies in cell biology and medical research are discussed.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  DNA barcoded antibodies; cellular heterogeneity; mass cytometry; microchips; single cell proteomics

Year:  2019        PMID: 31729152      PMCID: PMC7225074          DOI: 10.1002/pmic.201900226

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  107 in total

1.  DNA-encoded antibody libraries: a unified platform for multiplexed cell sorting and detection of genes and proteins.

Authors:  Ryan C Bailey; Gabriel A Kwong; Caius G Radu; Owen N Witte; James R Heath
Journal:  J Am Chem Soc       Date:  2007-01-30       Impact factor: 15.419

Review 2.  Single-cell RNA sequencing to explore immune cell heterogeneity.

Authors:  Efthymia Papalexi; Rahul Satija
Journal:  Nat Rev Immunol       Date:  2017-08-07       Impact factor: 53.106

3.  Highly Multiplexed Single-Cell In Situ Protein Analysis with Cleavable Fluorescent Antibodies.

Authors:  Manas Mondal; Renjie Liao; Lu Xiao; Taylor Eno; Jia Guo
Journal:  Angew Chem Int Ed Engl       Date:  2017-01-27       Impact factor: 15.336

4.  Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae.

Authors:  Michael P Washburn; Antonius Koller; Guy Oshiro; Ryan R Ulaszek; David Plouffe; Cosmin Deciu; Elizabeth Winzeler; John R Yates
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

Review 5.  Single-cell protein analysis.

Authors:  Meiye Wu; Anup K Singh
Journal:  Curr Opin Biotechnol       Date:  2011-12-19       Impact factor: 9.740

6.  Multidimensional analysis of the frequencies and rates of cytokine secretion from single cells by quantitative microengraving.

Authors:  Qing Han; Elizabeth M Bradshaw; Björn Nilsson; David A Hafler; J Christopher Love
Journal:  Lab Chip       Date:  2010-04-08       Impact factor: 6.799

7.  A microfluidic device for multiplexed protein detection in nano-liter volumes.

Authors:  Alan H Diercks; Adrian Ozinsky; Carl L Hansen; James M Spotts; David J Rodriguez; Alan Aderem
Journal:  Anal Biochem       Date:  2008-12-24       Impact factor: 3.365

8.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.

Authors:  Michael J Gerdes; Christopher J Sevinsky; Anup Sood; Sudeshna Adak; Musodiq O Bello; Alexander Bordwell; Ali Can; Alex Corwin; Sean Dinn; Robert J Filkins; Denise Hollman; Vidya Kamath; Sireesha Kaanumalle; Kevin Kenny; Melinda Larsen; Michael Lazare; Qing Li; Christina Lowes; Colin C McCulloch; Elizabeth McDonough; Michael C Montalto; Zhengyu Pang; Jens Rittscher; Alberto Santamaria-Pang; Brion D Sarachan; Maximilian L Seel; Antti Seppo; Kashan Shaikh; Yunxia Sui; Jingyu Zhang; Fiona Ginty
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

9.  Highly multiplexed simultaneous detection of RNAs and proteins in single cells.

Authors:  Andreas P Frei; Felice-Alessio Bava; Eli R Zunder; Elena W Y Hsieh; Shih-Yu Chen; Garry P Nolan; Pier Federico Gherardini
Journal:  Nat Methods       Date:  2016-01-25       Impact factor: 28.547

10.  Single-cell barcode analysis provides a rapid readout of cellular signaling pathways in clinical specimens.

Authors:  Randy J Giedt; Divya Pathania; Jonathan C T Carlson; Philip J McFarland; Andres Fernandez Del Castillo; Dejan Juric; Ralph Weissleder
Journal:  Nat Commun       Date:  2018-10-31       Impact factor: 14.919

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  9 in total

1.  Single-Cell RNA-Seq Analysis of Olfactory Mucosal Cells of Alzheimer's Disease Patients.

Authors:  Riikka Lampinen; Mohammad Feroze Fazaludeen; Simone Avesani; Tiit Örd; Elina Penttilä; Juha-Matti Lehtola; Toni Saari; Sanna Hannonen; Liudmila Saveleva; Emma Kaartinen; Francisco Fernández Acosta; Marcela Cruz-Haces; Heikki Löppönen; Alan Mackay-Sim; Minna U Kaikkonen; Anne M Koivisto; Tarja Malm; Anthony R White; Rosalba Giugno; Sweelin Chew; Katja M Kanninen
Journal:  Cells       Date:  2022-02-15       Impact factor: 6.600

Review 2.  [Methods and applications of single-cell proteomics analysis based on mass spectrometry].

Authors:  Shaojie Qin; Yu Bai; Huwei Liu
Journal:  Se Pu       Date:  2021-02

3.  Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2.

Authors:  Harrison Specht; Edward Emmott; Aleksandra A Petelski; R Gray Huffman; David H Perlman; Marco Serra; Peter Kharchenko; Antonius Koller; Nikolai Slavov
Journal:  Genome Biol       Date:  2021-01-27       Impact factor: 13.583

4.  To the proteome and beyond: advances in single-cell omics profiling for plant systems.

Authors:  Natalie M Clark; James Mitch Elmore; Justin W Walley
Journal:  Plant Physiol       Date:  2022-02-04       Impact factor: 8.340

5.  A deeper look at carrier proteome effects for single-cell proteomics.

Authors:  Zilu Ye; Tanveer S Batth; Patrick Rüther; Jesper V Olsen
Journal:  Commun Biol       Date:  2022-02-22

6.  Cyclic microchip assay for measurement of hundreds of functional proteins in single neurons.

Authors:  Liwei Yang; Avery Ball; Jesse Liu; Tanya Jain; Yue-Ming Li; Firoz Akhter; Donghui Zhu; Jun Wang
Journal:  Nat Commun       Date:  2022-06-21       Impact factor: 17.694

7.  Multiplexed Ion Beam Imaging Readout of Single-Cell Immunoblotting.

Authors:  Gabriela Lomeli; Marc Bosse; Sean C Bendall; Michael Angelo; Amy E Herr
Journal:  Anal Chem       Date:  2021-06-09       Impact factor: 6.986

Review 8.  Midbrain Dopaminergic Neuron Development at the Single Cell Level: In vivo and in Stem Cells.

Authors:  Emilía Sif Ásgrímsdóttir; Ernest Arenas
Journal:  Front Cell Dev Biol       Date:  2020-06-25

Review 9.  Resolving Metabolic Heterogeneity in Experimental Models of the Tumor Microenvironment from a Stable Isotope Resolved Metabolomics Perspective.

Authors:  Teresa W-M Fan; Richard M Higashi; Yelena Chernayavskaya; Andrew N Lane
Journal:  Metabolites       Date:  2020-06-15
  9 in total

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