Unlocking bone for proteomic analysis and FISH View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01-18

AUTHORS

Claudius Mueller, Marco Gambarotti, Stefania Benini, Piero Picci, Alberto Righi, Monica Stevanin, Sabine Hombach-Klonisch, Dana Henderson, Lance Liotta, Virginia Espina

ABSTRACT

Bone tissue is critically lagging behind soft tissues and biofluids in our effort to advance precision medicine. The main challenges have been accessibility and the requirement for deleterious decalcification processes that impact the fidelity of diagnostic histomorphology and hinder downstream analyses such as fluorescence in-situ hybridization (FISH). We have developed an alternative fixation chemistry that simultaneously fixes and decalcifies bone tissue. We compared tissue morphology, immunohistochemistry (IHC), cell signal phosphoprotein analysis, and FISH in 50 patient matched primary bone cancer cases that were either formalin fixed and decalcified, or theralin fixed with and without decalcification. Use of theralin improved tissue histomorphology, whereas overall IHC was comparable to formalin fixed, decalcified samples. Theralin-fixed samples showed a significant increase in protein and DNA extractability, supporting technologies such as laser-capture microdissection and reverse phase protein microarrays. Formalin-fixed bone samples suffered from a fixation artifact where protein quantification of β-actin directly correlated with fixation time. Theralin-fixed samples were not affected by this artifact. Moreover, theralin fixation enabled standard FISH staining in bone cancer samples, whereas no FISH staining was observed in formalin-fixed samples. We conclude that the use of theralin fixation unlocks the molecular archive within bone tissue allowing bone to enter the standard tissue analysis pipeline. This will have significant implications for bone cancer patients, in whom personalized medicine has yet to be implemented. More... »

PAGES

1-14

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41374-018-0168-7

DOI

http://dx.doi.org/10.1038/s41374-018-0168-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111510106

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30659273


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41374-018-0168-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41374-018-0168-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41374-018-0168-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41374-018-0168-7'


 

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