Literature DB >> 28280819

Microchip-based single-cell functional proteomics for biomedical applications.

Yao Lu1, Liu Yang2, Wei Wei3, Qihui Shi2.   

Abstract

Cellular heterogeneity has been widely recognized but only recently have single cell tools become available that allow characterizing heterogeneity at the genomic and proteomic levels. We review the technological advances in microchip-based toolkits for single-cell functional proteomics. Each of these tools has distinct advantages and limitations, and a few have advanced toward being applied to address biological or clinical problems that traditional population-based methods fail to address. High-throughput single-cell proteomic assays generate high-dimensional data sets that contain new information and thus require developing new analytical frameworks to extract new biology. In this review article, we highlight a few biological and clinical applications in which microchip-based single-cell proteomic tools provide unique advantages. The examples include resolving functional heterogeneity and dynamics of immune cells, dissecting cell-cell interaction by creating a well-controlled on-chip microenvironment, capturing high-resolution snapshots of immune system functions in patients for better immunotherapy and elucidating phosphoprotein signaling networks in cancer cells for guiding effective molecularly targeted therapies.

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Year:  2017        PMID: 28280819      PMCID: PMC5459479          DOI: 10.1039/c7lc00037e

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


  102 in total

1.  High-content single-cell drug screening with phosphospecific flow cytometry.

Authors:  Peter O Krutzik; Janelle M Crane; Matthew R Clutter; Garry P Nolan
Journal:  Nat Chem Biol       Date:  2007-12-23       Impact factor: 15.040

2.  Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

Authors:  Evan W Newell; Natalia Sigal; Sean C Bendall; Garry P Nolan; Mark M Davis
Journal:  Immunity       Date:  2012-01-27       Impact factor: 31.745

3.  Chemical methods for the simultaneous quantitation of metabolites and proteins from single cells.

Authors:  Min Xue; Wei Wei; Yapeng Su; Jungwoo Kim; Young Shik Shin; Wilson X Mai; David A Nathanson; James R Heath
Journal:  J Am Chem Soc       Date:  2015-03-19       Impact factor: 15.419

4.  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

5.  JAK-STAT pathway activation in malignant and nonmalignant cells contributes to MPN pathogenesis and therapeutic response.

Authors:  Maria Kleppe; Minsuk Kwak; Priya Koppikar; Markus Riester; Matthew Keller; Lennart Bastian; Todd Hricik; Neha Bhagwat; Anna Sophia McKenney; Efthymia Papalexi; Omar Abdel-Wahab; Raajit Rampal; Sachie Marubayashi; Jonathan J Chen; Vincent Romanet; Jordan S Fridman; Jacqueline Bromberg; Julie Teruya-Feldstein; Masato Murakami; Thomas Radimerski; Franziska Michor; Rong Fan; Ross L Levine
Journal:  Cancer Discov       Date:  2015-01-08       Impact factor: 39.397

6.  A microfluidic platform for systems pathology: multiparameter single-cell signaling measurements of clinical brain tumor specimens.

Authors:  Jing Sun; Michael D Masterman-Smith; Nicholas A Graham; Jing Jiao; Jack Mottahedeh; Dan R Laks; Minori Ohashi; Jason DeJesus; Ken-ichiro Kamei; Ki-Bum Lee; Hao Wang; Zeta T F Yu; Yi-Tsung Lu; Shuang Hou; Keyu Li; Max Liu; Nangang Zhang; Shutao Wang; Brigitte Angenieux; Eduard Panosyan; Eric R Samuels; Jun Park; Dirk Williams; Vera Konkankit; David Nathanson; R Michael van Dam; Michael E Phelps; Hong Wu; Linda M Liau; Paul S Mischel; Jorge A Lazareff; Harley I Kornblum; William H Yong; Thomas G Graeber; Hsian-Rong Tseng
Journal:  Cancer Res       Date:  2010-07-14       Impact factor: 12.701

Review 7.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

8.  Cellular barcodes for efficiently profiling single-cell secretory responses by microengraving.

Authors:  Yvonne J Yamanaka; Gregory L Szeto; Todd M Gierahn; Talitha L Forcier; Kelly F Benedict; Mavis S N Brefo; Douglas A Lauffenburger; Darrell J Irvine; J Christopher Love
Journal:  Anal Chem       Date:  2012-12-03       Impact factor: 6.986

9.  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

10.  Kicking Genomic Profiling to the Curb: How Re-wiring the Phosphoproteome Can Explain Treatment Resistance in Glioma.

Authors:  Fred C Lam; Michael B Yaffe
Journal:  Cancer Cell       Date:  2016-04-11       Impact factor: 31.743

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  13 in total

Review 1.  Moonshot Objectives: Catalyze New Scientific Breakthroughs-Proteogenomics.

Authors:  Karin D Rodland; Paul Piehowski; Richard D Smith
Journal:  Cancer J       Date:  2018 May/Jun       Impact factor: 3.360

2.  An in vitro attempt at precision toxicology reveals the involvement of DNA methylation alteration in ochratoxin A-induced G0/G1 phase arrest.

Authors:  Boyang Zhang; Liye Zhu; Yaqi Dai; Hongyu Li; Kunlun Huang; Yunbo Luo; Wentao Xu
Journal:  Epigenetics       Date:  2019-07-22       Impact factor: 4.528

Review 3.  The role of proteomics in the age of immunotherapies.

Authors:  Sarah A Hayes; Stephen Clarke; Nick Pavlakis; Viive M Howell
Journal:  Mamm Genome       Date:  2018-07-25       Impact factor: 2.957

Review 4.  Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.

Authors:  Liwei Yang; Justin George; Jun Wang
Journal:  Proteomics       Date:  2019-12-02       Impact factor: 3.984

Review 5.  The future of microfluidics in immune checkpoint blockade.

Authors:  Jonathan Briones; Wilfred Espulgar; Shohei Koyama; Hyota Takamatsu; Eiichi Tamiya; Masato Saito
Journal:  Cancer Gene Ther       Date:  2020-10-27       Impact factor: 5.987

6.  One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes.

Authors:  Chien-Kai Wang; Wei-Hao Liao; Hsiao-Mei Wu; Yi-Chung Tung
Journal:  J Vis Exp       Date:  2018-09-13       Impact factor: 1.355

7.  Protein and Proteome Measurements with Microfluidic Chips.

Authors:  Iulia M Lazar; Nicholas S Gulakowski; Alexandru C Lazar
Journal:  Anal Chem       Date:  2019-11-12       Impact factor: 6.986

Review 8.  Advances of Single-Cell Protein Analysis.

Authors:  Lixing Liu; Deyong Chen; Junbo Wang; Jian Chen
Journal:  Cells       Date:  2020-05-20       Impact factor: 6.600

9.  Adhesion analysis of single circulating tumor cells on a base layer of endothelial cells using open microfluidics.

Authors:  Sifeng Mao; Qiang Zhang; Haifang Li; Wanling Zhang; Qiushi Huang; Mashooq Khan; Jin-Ming Lin
Journal:  Chem Sci       Date:  2018-08-13       Impact factor: 9.825

Review 10.  Separation, Characterization, and Handling of Microalgae by Dielectrophoresis.

Authors:  Vinzenz Abt; Fabian Gringel; Arum Han; Peter Neubauer; Mario Birkholz
Journal:  Microorganisms       Date:  2020-04-09
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