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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Histochemistry and C...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Histochemistry and Cell Biology
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Stain–Decolorize–Stain (SDS): a new technique for multiple staining

Authors: Jing Li; Yan Zhou; Jiang Gu; Jiang Gu;

Stain–Decolorize–Stain (SDS): a new technique for multiple staining

Abstract

Multiple staining of more than one gene/antigen on a single tissue section is an indispensable tool in cell and tissue research. However, most of the available multiple staining techniques have limitations, and there has been no technique to simultaneously visualize and distinguish tissue antigens, nucleotide sequences and other chemical compounds on the same slide. Here, we present a practical and economic multiple stain technique, with which multiple cellular components including mRNA (with in situ hybridization), antigen epitope (with immunohistochemistry) and chemical molecules (with histochemistry) can be stained on a single tissue section to study their relationship. In addition, this technique also offers the possibility to evaluate morphology with an H&E staining on the same sections. We used the placenta, pancreas, breast ductal carcinoma, colon adenocarcinoma, cerebellum, tonsil and heart tissue sections to evaluate the applicability of this new technique. The sensitivity and specificity of the technique have been tested, and an optimal protocol is recommended. Its applications in surgical pathology and research are discussed. This technique offers a novel tool to evaluate the relationship among multiple components at the same or adjacent locations to meet the needs of pathology diagnosis and research.

Related Organizations
Keywords

Viscera, Base Sequence, Staining and Labeling, Humans, Antigens, Immunohistochemistry, Sensitivity and Specificity, In Situ Hybridization

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Average
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