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Abstract:

Integrin adhesome proteins bind each other in alternative manners, forming within the cell diverse cell-matrix adhesion sites with distinct properties. An intriguing question is how such modular assembly of adhesion sites is achieved correctly solely by self-organization of their components. Here we address this question using high-throughput multiplexed imaging of eight proteins and two phosphorylation sites in a large number of single focal adhesions.We found that during the assembly of focal adhesions the variances of protein densities decrease while the correlations between them increase, suggesting reduction in the noise levels within these structures. These changes correlate independently with the area and internal density of focal adhesions, but not with their age or shape. Artificial neural network analysis indicates that a joint consideration of multiple components improves the predictability of paxillin and zyxin levels in internally dense focal adhesions. This suggests that paxillin and zyxin densities in focal adhesions are fine-tuned by integrating the levels of multiple other components, thus averaging-out stochastic fluctuations. Based on these results we propose that increase in internal protein densities facilitates noise suppression in focal adhesions, while noise suppression enables their stable growth and further density increase - hence forming a feedback loop giving rise to a quality-controlled assembly. © 2016 Harizanova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Registro:

Documento: Artículo
Título:Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions
Autor:Harizanova, J.; Fermin, Y.; Malik-Sheriff, R.S.; Wieczorek, J.; Ickstadt, K.; Grecco, H.E.; Zamir, E.
Filiación:Department of Systemic Cell Biology, Max Planck Institute of Molecular, Physiology, Dortmund, Germany
Faculty of Statistics, TU Dortmund University, Dortmund, Germany
European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, Cambridge, United Kingdom
MRC Clinical Sciences Centre, Imperial College London, London, United Kingdom
Department of Physics, FCEN, University of Buenos Aires, IFIBA, CONICET, Argentina
Palabras clave:amino acid; immunoglobulin G; immunoglobulin M; integrin; paxillin; zyxin; bacterial protein; cytoskeleton protein; integrin; paxillin; photoprotein; tyrosine; yellow fluorescent protein, Bacteria; ZYX protein, human; zyxin; Article; artificial neural network; extracellular matrix; feedback system; focal adhesion; image analysis; markov chain; mass spectrometry; noise reduction; protein analysis; protein phosphorylation; reproducibility; fluorescence microscopy; focal adhesion; human; image processing; metabolism; phosphorylation; physiology; procedures; signal noise ratio; signal processing; Bacterial Proteins; Cell-Matrix Junctions; Cytoskeletal Proteins; Focal Adhesions; Humans; Image Processing, Computer-Assisted; Integrins; Luminescent Proteins; Microscopy, Fluorescence; Paxillin; Phosphorylation; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio; Tyrosine; Zyxin
Año:2016
Volumen:11
Número:8
DOI: http://dx.doi.org/10.1371/journal.pone.0160591
Título revista:PLoS ONE
Título revista abreviado:PLoS ONE
ISSN:19326203
CODEN:POLNC
CAS:amino acid, 65072-01-7; immunoglobulin G, 97794-27-9; immunoglobulin M, 9007-85-6; paxillin, 165945-21-1; tyrosine, 16870-43-2, 55520-40-6, 60-18-4; Bacterial Proteins; Cytoskeletal Proteins; Integrins; Luminescent Proteins; Paxillin; Tyrosine; yellow fluorescent protein, Bacteria; ZYX protein, human; Zyxin
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19326203_v11_n8_p_Harizanova

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Citas:

---------- APA ----------
Harizanova, J., Fermin, Y., Malik-Sheriff, R.S., Wieczorek, J., Ickstadt, K., Grecco, H.E. & Zamir, E. (2016) . Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions. PLoS ONE, 11(8).
http://dx.doi.org/10.1371/journal.pone.0160591
---------- CHICAGO ----------
Harizanova, J., Fermin, Y., Malik-Sheriff, R.S., Wieczorek, J., Ickstadt, K., Grecco, H.E., et al. "Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions" . PLoS ONE 11, no. 8 (2016).
http://dx.doi.org/10.1371/journal.pone.0160591
---------- MLA ----------
Harizanova, J., Fermin, Y., Malik-Sheriff, R.S., Wieczorek, J., Ickstadt, K., Grecco, H.E., et al. "Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions" . PLoS ONE, vol. 11, no. 8, 2016.
http://dx.doi.org/10.1371/journal.pone.0160591
---------- VANCOUVER ----------
Harizanova, J., Fermin, Y., Malik-Sheriff, R.S., Wieczorek, J., Ickstadt, K., Grecco, H.E., et al. Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions. PLoS ONE. 2016;11(8).
http://dx.doi.org/10.1371/journal.pone.0160591