Literature DB >> 23810371

Quantitative single cell and single molecule proteomics for clinical studies.

Keith R Willison1, David R Klug.   

Abstract

A central aspect of cellular systems biology is the study of cell-to-cell variability driven by network control of molecular noise. Proteins are produced in stochastic bursts and, although time averaging smoothes their accumulated levels, variation in their copy number is substantial in members of environmental sensing and signalling networks. We have developed a label-free, microfluidic antibody capture chip platform called the MAC chip, to quantify precisely the copy numbers of many proteins from a single cell in a multiplexed single assay format. We intend to investigate protein noise in circulating tumour cells (CTCs) isolated from biopsies of cancer patients through the identification of biomolecular signatures, such as p53 tumour suppressor protein, which correlate with biological properties and clinical outcomes during treatment.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23810371     DOI: 10.1016/j.copbio.2013.06.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  9 in total

Review 1.  Integrated micro/nanoengineered functional biomaterials for cell mechanics and mechanobiology: a materials perspective.

Authors:  Yue Shao; Jianping Fu
Journal:  Adv Mater       Date:  2013-12-12       Impact factor: 30.849

Review 2.  The applications of single-cell genomics.

Authors:  Michael Lovett
Journal:  Hum Mol Genet       Date:  2013-08-06       Impact factor: 6.150

Review 3.  The quest of cell surface markers for stem cell therapy.

Authors:  Anna Meyfour; Sara Pahlavan; Mehdi Mirzaei; Jeroen Krijgsveld; Hossein Baharvand; Ghasem Hosseini Salekdeh
Journal:  Cell Mol Life Sci       Date:  2020-07-24       Impact factor: 9.261

4.  Carrier-assisted One-pot Sample Preparation for Targeted Proteomics Analysis of Small Numbers of Human Cells.

Authors:  Kendall Martin; Tong Zhang; Pengfei Zhang; William B Chrisler; Fillmore L Thomas; Fen Liu; Tao Liu; Wei-Jun Qian; Richard D Smith; Tujin Shi
Journal:  J Vis Exp       Date:  2020-11-06       Impact factor: 1.355

5.  Counting Proteins in Single Cells with Addressable Droplet Microarrays.

Authors:  Stelios Chatzimichail; Pashiini Supramaniam; Oscar Ces; Ali Salehi-Reyhani
Journal:  J Vis Exp       Date:  2018-07-06       Impact factor: 1.355

Review 6.  Network representations of immune system complexity.

Authors:  Naeha Subramanian; Parizad Torabi-Parizi; Rachel A Gottschalk; Ronald N Germain; Bhaskar Dutta
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-01-27

7.  Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection.

Authors:  Haibiao Gong; Xiaohui Wang; Benjamin Liu; Stephane Boutet; Ilona Holcomb; Gajalakshmi Dakshinamoorthy; Aik Ooi; Chad Sanada; Gang Sun; Ramesh Ramakrishnan
Journal:  Sci Rep       Date:  2017-06-05       Impact factor: 4.379

8.  Single neurons needed for brain asymmetry studies.

Authors:  Athina Samara
Journal:  Front Genet       Date:  2014-01-16       Impact factor: 4.599

9.  Single Cell Analysis: From Technology to Biology and Medicine.

Authors:  Xinghua Pan
Journal:  Single Cell Biol       Date:  2014
  9 in total

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