Quantitative single cell and single molecule proteomics for clinical studies

Current Opinion in Biotechnology

Volumn 24, Issue 4, 2013, Pages 745-751

  Willison, Keith R ^a   Klug, David R ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODY CAPTURE; BIOLOGICAL PROPERTIES; CELL-TO-CELL VARIABILITY; CIRCULATING TUMOUR CELLS; CLINICAL OUTCOME; ENVIRONMENTAL SENSING; SIGNALLING NETWORK; TUMOUR SUPPRESSOR PROTEIN;

MOLECULAR BIOLOGY; PATIENT TREATMENT; TUMORS;

PROTEINS;

PROTEIN P53;

BIOCHIP; CANCER CELL; CANCER PATIENT; CELL SELECTION; CELL TYPE; CELL VARIABILITY; COPY NUMBER VARIATION; ENVIRONMENT; HISTOPATHOLOGY; HUMAN; MICROFLUIDIC ANTIBODY CAPTURE CHIP; MICROFLUIDICS; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN SYNTHESIS; PROTEOMICS; QUANTITATIVE ANALYSIS; REVIEW; SIGNAL TRANSDUCTION; SINGLE CELL PROTEOMICS; SINGLE MOLECULE PROTEOMICS; SYSTEMS BIOLOGY; TUMOR BIOPSY;

HUMANS; MICROFLUIDICS; NANOTECHNOLOGY; NEOPLASMS; PROTEINS; PROTEOMICS; SINGLE-CELL ANALYSIS; SYSTEMS BIOLOGY;

EID: 84880937170     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2013.06.001     Document Type: Review

References (33)

1. Salehi-Reyhani A., Kaplinsky J., Burgin E., Novakova A., DeMello A.J., Templer R.H., Parker P., Neil M.A.A., Ces O., French P., Willison K.R., Klug D.R. A first step towards practical single cell proteomics: a microfluidic antibody capture chip with TIRF detection. Lab Chip 2011, 11:1256-1261.
2. Salehi-Reyhani A., Sharma S., Burgin E., Barclay M., Cass A., Neil M.A.A., Ces O., Willison K.R., Klug D.R. Scaling advantages and constraints in miniaturized capture assays for single cell protein analysis. Lab Chip 2013, 13:2066-2074. 10.1039/C3LC41388H.
3. Shi Q., et al. Single-cell proteomic chip for profiling intracellular signalling pathways in single tumor cells. Proc Natl Acad Sci USA 2011, 10.1073/pnas.1110865109.
4. Huang B., Wu H., Bhaya D., Grossman A., Granier S., Kobilka B.K., Zare R.N. Counting low-copy number proteins in a single cell. Science 2007, 315:81-84.
5. Chao T.-C., Ros A. Microfluidic single-cell analysis of intracellular compounds. J R Soc Interface 2008, 5:S139-S150.
6. Tessler L.A., Mitra R.D. Sensitive single-molecule protein quantification and protein complex detection in a microarray format. Proteomics 2011, 11:4731-4735.
7. Li J., Xie W., Fang N., Yeung E.S. Single-molecule immunosorbent assay as a tool for human immunodeficiency virus-1 antigen detection. Anal Bioanal Chem 2009, 394:489-497.
8. Wu M., Singh A.K. Single-cell protein analysis. Curr Opin Biotechnol 2012, 23:83-88.
9. Eldar A., Elowitz M.B. Functional roles for noise in genetic circuits. Nature 2010, 467:167-173.
10. Chung H.S., McHale K., Louis J.M., Eaton W.A. Single-molecule fluorescence experiments determine protein folding transition path times. Science 2012, 335:981-984.
11. Marshall R.A., Aitken C.E., Dorywalska M., Puglisi J.D. Translation at the single-molecule level. Annu Rev Biochem 2008, 77:177-203.
12. Newman J.R.S., Ghaemmaghami S., Ihmels J., Breslow D.K., Noble M., DeRisi J.L., Weissman J.S. Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise. Nature 2006, 441:840-846.
13. Sigal A., Danon T., Cohen A., Milo R., Geva-Zatorsky N., et al. Generation of a fluorescently labelled endogenous protein library in living human cells. Nat Protoc 2007, 2:1515-1527.
14. Cohen A.A., et al. Protein dynamics in individual human cells: experiment and theory. PLoS ONE 2009, 4:e4901.
15. Cai L., Friedman N., Xie X.S. Stochastic protein expression in individual cells at single molecule level. Nature 2006, 440:358-362.
16. Breslauer D.N., Lee P.J., Lee L.P. Microfluidic-based systems biology. Mol Biosyst 2006, 2:97-112.
17. Alon U. An introduction to systems biology: design principles of biological circuits. CRC Mathematical and Computational Biology Series 2007, Chapman & Hall.
18. Batchelor E., Loewer A., Lahav G. The ups and downs of p53: understanding protein dynamics in single cells. Nat Rev Cancer 2009, 9:371-377.
19. Freed-Pastor W.A., Prives C. Mutant p53: one name, many proteins. Genes Dev 2012, 26:1268-1286.
20. Batchelor E., Loewer A., Mock C., Lahav G. Stimulus-dependent dynamics of p53 in single cells. Mol Syst Biol 2011, 7:488-500.
21. Shahrezaei V., Swain P.S. The stochastic nature of biochemical networks. Curr Opin Biotechnol 2008, 19:369-374.
22. Leenders G.B., Tuszynski J.A. Stochastic and deterministic models of cellular p53 regulation. Front Oncol 2013, 3. 10.3389/fonc.2013.00064.
23. Berger A.H., Knudson A.G., Pandolfi P.P. A continuum model for tumor suppression. Nature 2011, 476:163-169.
24. Picotti P., Bodenmiller B., Mueller L.N., Domon B., Aebersold R. Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics. Cell 2009, 138:795-806.
25. Beck M., Schmidt A., Malmstroem J., Claassen M., Ori A., Szymborska A., Nerzog F., Ellenberg J., Aebersold R. The quantitative proteome of a human cell line. Mol Syst Biol 2011, 7. 10.1038/msb.2011.82.
26. Gupta P.B., Filmore C.M., Jiang G., Shapira S.D., Tao K., Kuperwasser C., Lander E.S. Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. Cell 2011, 146:644-663.
27. Navin N., Kendall J., Troge J., Wigler M., et al. Tumour evolution inferred by single-cell sequencing. Nature 2011, 472:90-94.
28. Valastyan S., Weinberg R.A. Tumor metastasis: molecular insights and evolving paradigms. Cell 2011, 147:275-292.
29. Alunni-Fabbroni M., Sandri M.T. Circulating tumor cells in clinical practice: methods of detection and possible characterization. Methods 2010, 50:289-297.
30. Berthier E., Young E.W.K., Beebe D. Engineers are from PDMS-land, biologists are from polystyrenia. Lab Chip 2012, 10.1039/c21c20982a.
31. Brouzes E., Medkova M., Savenelli N., Marran D., Twardowski M., Hutchison J.B., Rothberg J.M., Link D.R., Perrimon N., Samuels M.L. Droplet microfluidic technology for single-cell high-throughput screening. Proc Natl Acad Sci USA 2008, 106:14195-14200.
32. Krutzik P.O., Crane J.M., Clutter M.R., Nolan G.P. High-content single-cell drug screening with phosphospecific flow cytometry. Nat Chem Biol 2008, 4:132-142.
33. Ronco G., Cuzick J., Pierotti P., Cariaggi M.P., Dalla Palma P., Naldoni C., Ghiringhello B., Giorgi-Rossi P., Minucci D., Parisio F., Pojer A., Schiboni M.L., Sintoni C., Zorzi M., Segnan N., Confortini M. Accuracy of liquid based versus conventional cytology: overall results of new technologies for cervical cancer screening: randomised controlled trial. BMJ 2007, 335:28-31.