Ventana benchmark ultra stainer
The Ventana BenchMark ULTRA stainer is an automated instrument used for the preparation and staining of tissue samples for diagnostic and research purposes in a laboratory setting. The core function of this product is to perform standardized, consistent, and efficient immunohistochemistry (IHC) and in situ hybridization (ISH) staining on tissue samples.
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7 protocols using ventana benchmark ultra stainer
MITF Immunohistochemistry for Melanocyte Identification
Immunohistochemical Evaluation of SSTR2a in 177Lu-Octreotate Therapy
Immunohistochemical Analysis of Circadian Proteins
Formalin-fixed paraffin-embedded tumor samples were cut into sequential 2-μm-thick sections, and deparaffinized and stained at the Pathology Department using a fully automated Ventana BenchMark ULTRA stainer (Ventana, Tucson, AZ, USA), according to the manufacturers’ instructions. Binding of peroxidase-coupled antibodies was detected using the ultraView Universal DAB Detection Kit as a substrate, and the sections were counterstained with hematoxylin.
High-Risk HPV Detection in FFPE Tumors
High-risk HPV DNA detection was performed on the p16-positive cases. DNA was extracted from all p16 positive cases using an automated silica-based extraction system, and PCR was performed using the HPV-Risk assay (Self-Screen BV, Amsterdam, the Netherlands) [28 (link)]. The HPV-Risk assay is a novel real-time PCR assay targeting the E7 region of 15 high-risk HPV types (i.e., HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 67 and 68) and provides additional genotype information for HPV 16 and HPV 18. The HPV-Risk assay is clinically validated and meets the cross-sectional clinical and reproducibility criteria of the international guidelines for HPV test requirements.
Immunohistochemical Analysis of Androgen Receptor in TNBC
Immunohistochemical Analysis of Tumor Markers
Immunohistochemical Analysis of Protein Expression
To assess the immunostaining intensity for the antigens EGFR, mTOR, PDGFRA, PDGFRB, and PTEN, a combinative semi-quantitative score was used. For a comprehensive description of the IHC, we refer to our previous work [9 (link)].
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