Literature DB >> 20107819

Novel myosin heavy chain immunohistochemical double staining developed for the routine diagnostic separation of I, IIA and IIX fibers.

Olayinka Raheem1, Sanna Huovinen, Tiina Suominen, Hannu Haapasalo, Bjarne Udd.   

Abstract

The different histochemical ATPase properties of myosins separating the muscle fiber types have been utilized in diagnostic muscle biopsy routine for more than four decades. The ATPase staining method is rather laborious and has several disadvantages, such as weakening of staining over time and non-specific staining of capillaries, making the distinction of extremely atrophic muscle fibers difficult. We have developed a reliable and advanced immunohistochemical myosin double staining method for the identification of fiber types, including highly atrophic fibers in routine diagnostics. With this double staining method, we are able to distinguish among type I (ATPase type 1), IIA (ATPase type 2A), IIX (ATPase type 2B) and remodeled ATPase type 2C fibers expressing both fast and slow myosins using a one slide technique. Immunohistochemical double staining of myosin heavy chain isoforms can be used as an alternative for the conventional ATPase staining method in routine histopathology. The method provides even more detailed information of fast fiber subtypes and highly atrophic fibers on one single slide.

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Year:  2010        PMID: 20107819     DOI: 10.1007/s00401-010-0643-8

Source DB:  PubMed          Journal:  Acta Neuropathol        ISSN: 0001-6322            Impact factor:   17.088


  9 in total

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Review 4.  Muscle biopsy.

Authors:  G Meola; E Bugiardini; R Cardani
Journal:  J Neurol       Date:  2011-07-30       Impact factor: 4.849

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8.  Diagnostically important muscle pathology in DNAJB6 mutated LGMD1D.

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9.  A novel triple immunoenzyme staining enables simultaneous identification of all muscle fiber types on a single skeletal muscle cryosection from normal, denervated or reinnervated rats.

Authors:  Peng Wu; Shuya Zhang; Robert J Spinner; Michael Torres Lizardi; Yudong Gu; Cong Yu; Michael J Yaszemski; Anthony J Windebank; Huan Wang
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  9 in total

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