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Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders

ESSENTIALS: Deficiencies in size, number or shape of platelet granules are associated with bleeding symptoms. Super‐resolution microscopy (SRM) facilitates the diagnosis of structural platelet disorders. SRM can deliver quantitative, automated, unbiased high‐throughput morphometric analyses. Using C...

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Autores principales: Westmoreland, D., Shaw, M., Grimes, W., Metcalf, D. J., Burden, J. J., Gomez, K., Knight, A. E., Cutler, D. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982064/
https://www.ncbi.nlm.nih.gov/pubmed/26806224
http://dx.doi.org/10.1111/jth.13269
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author Westmoreland, D.
Shaw, M.
Grimes, W.
Metcalf, D. J.
Burden, J. J.
Gomez, K.
Knight, A. E.
Cutler, D. F.
author_facet Westmoreland, D.
Shaw, M.
Grimes, W.
Metcalf, D. J.
Burden, J. J.
Gomez, K.
Knight, A. E.
Cutler, D. F.
author_sort Westmoreland, D.
collection PubMed
description ESSENTIALS: Deficiencies in size, number or shape of platelet granules are associated with bleeding symptoms. Super‐resolution microscopy (SRM) facilitates the diagnosis of structural platelet disorders. SRM can deliver quantitative, automated, unbiased high‐throughput morphometric analyses. Using CD63 as a marker, Hermansky‐Pudlak patients are easily distinguished from controls. SUMMARY: BACKGROUND: Many platelet functions are dependent on bioactive molecules released from their granules. Deficiencies of these granules in number, shape or content are associated with bleeding. The small size of these granules is such that imaging them for diagnosis has traditionally required electron microscopy. However, recently developed super‐resolution microscopes provide sufficient spatial resolution to effectively image platelet granules. When combined with automated image analysis, these methods provide a quantitative, unbiased, rapidly acquired dataset that can readily and reliably reveal differences in platelet granules between individuals. OBJECTIVE: To demonstrate the ability of structured illumination microscopy (SIM) to efficiently differentiate between healthy volunteers and three patients with Hermansky‐Pudlak syndrome. METHODS: Blood samples were taken from three patients with Hermansky‐Pudlak syndrome and seven controls. Patients 1–3 have gene defects in HPS1,HPS6 and HPS5, respectively; all controls were healthy volunteers. Platelet‐rich plasma was isolated from blood and the platelets fixed, stained for CD63 and processed for analysis by immunofluorescence microscopy, using a custom‐built SIM microscope. RESULTS: SIM can successfully resolve CD63‐positive structures in fixed platelets. A determination of the number of CD63‐positive structures per platelet allowed us to conclude that each patient was significantly different from all of the controls with 99% confidence. CONCLUSIONS: A super‐resolution imaging approach is effective and rapid in objectively differentiating between patients with a platelet bleeding disorder and healthy volunteers. CD63 is a useful marker for predicting Hermansky‐Pudlak syndrome and could be used in the diagnosis of patients suspected of other platelet granule disorders.
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spelling pubmed-49820642016-08-26 Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders Westmoreland, D. Shaw, M. Grimes, W. Metcalf, D. J. Burden, J. J. Gomez, K. Knight, A. E. Cutler, D. F. J Thromb Haemost PLATELETS ESSENTIALS: Deficiencies in size, number or shape of platelet granules are associated with bleeding symptoms. Super‐resolution microscopy (SRM) facilitates the diagnosis of structural platelet disorders. SRM can deliver quantitative, automated, unbiased high‐throughput morphometric analyses. Using CD63 as a marker, Hermansky‐Pudlak patients are easily distinguished from controls. SUMMARY: BACKGROUND: Many platelet functions are dependent on bioactive molecules released from their granules. Deficiencies of these granules in number, shape or content are associated with bleeding. The small size of these granules is such that imaging them for diagnosis has traditionally required electron microscopy. However, recently developed super‐resolution microscopes provide sufficient spatial resolution to effectively image platelet granules. When combined with automated image analysis, these methods provide a quantitative, unbiased, rapidly acquired dataset that can readily and reliably reveal differences in platelet granules between individuals. OBJECTIVE: To demonstrate the ability of structured illumination microscopy (SIM) to efficiently differentiate between healthy volunteers and three patients with Hermansky‐Pudlak syndrome. METHODS: Blood samples were taken from three patients with Hermansky‐Pudlak syndrome and seven controls. Patients 1–3 have gene defects in HPS1,HPS6 and HPS5, respectively; all controls were healthy volunteers. Platelet‐rich plasma was isolated from blood and the platelets fixed, stained for CD63 and processed for analysis by immunofluorescence microscopy, using a custom‐built SIM microscope. RESULTS: SIM can successfully resolve CD63‐positive structures in fixed platelets. A determination of the number of CD63‐positive structures per platelet allowed us to conclude that each patient was significantly different from all of the controls with 99% confidence. CONCLUSIONS: A super‐resolution imaging approach is effective and rapid in objectively differentiating between patients with a platelet bleeding disorder and healthy volunteers. CD63 is a useful marker for predicting Hermansky‐Pudlak syndrome and could be used in the diagnosis of patients suspected of other platelet granule disorders. John Wiley and Sons Inc. 2016-03-17 2016-04 /pmc/articles/PMC4982064/ /pubmed/26806224 http://dx.doi.org/10.1111/jth.13269 Text en © 2016 The Authors. Journal of Thrombosis and Haemostasis published by Wiley Periodicals, Inc. on behalf of International Society on Thrombosis and Haemostasis. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle PLATELETS
Westmoreland, D.
Shaw, M.
Grimes, W.
Metcalf, D. J.
Burden, J. J.
Gomez, K.
Knight, A. E.
Cutler, D. F.
Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title_full Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title_fullStr Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title_full_unstemmed Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title_short Super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
title_sort super‐resolution microscopy as a potential approach to diagnosis of platelet granule disorders
topic PLATELETS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982064/
https://www.ncbi.nlm.nih.gov/pubmed/26806224
http://dx.doi.org/10.1111/jth.13269
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