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A simplified and se...
A simplified and sensitive immunoprecipitation mass spectrometry protocol for the analysis of amyloid-beta peptides in brain tissue
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- Richard, B. C. (author)
- Charite Univ Med Berlin, Dept Neuropathol AG Heppner, Campus Mitte,Charitapl 1, DE-10117 Berlin, Germany;Univ Med Gottingen, Dept Psychiat & Psychotherapy, von Siebold Str 5, DE-37075 Gottingen, Germany
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- Bayer, T. A. (author)
- Charite Univ Med Berlin, Dept Neuropathol AG Heppner, Campus Mitte,Charitapl 1, DE-10117 Berlin, Germany;Univ Med Gottingen, Dept Psychiat & Psychotherapy, von Siebold Str 5, DE-37075 Gottingen, Germany
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- Lind, Sara, 1977- (author)
- Uppsala universitet,Analytisk kemi
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- Shevchenko, Ganna (author)
- Uppsala universitet,Analytisk kemi
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- Bergquist, Jonas (author)
- Uppsala universitet,Analytisk kemi
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(creator_code:org_t)
- ELSEVIER, 2019
- 2019
- English.
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In: Clinical Mass Spectrometry. - : ELSEVIER. - 2213-8005 .- 2376-9998. ; 14, s. 83-88
- Related links:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- In the field of Alzheimer's disease, there is an urgent need for novel analytical tools to identify disease-specific biomarkers and to evaluate therapeutics. Preclinical trials commonly employ amyloid beta (A beta) peptide signatures as a read-out. In this paper, we report a simplified and detailed protocol for robust immunoprecipitation of A beta in brain tissue prior to mass spectrometric detection exemplified by a study using transgenic mice. The established method employed murine monoclonal and rabbit polyclonal antibodies and was capable of yielding well-reproducible peaks of high intensity with low background signal intensities corresponding to various A beta forms.
Subject headings
- NATURVETENSKAP -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
Keyword
- MALDI-TOF MS
- Amyloid beta peptides
- Brain
- Immunoprecipitation
Publication and Content Type
- ref (subject category)
- art (subject category)
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