Journal of Histotechnology
Special Issue on Methods for Validating Histochemistry, Immunohistochemistry, In-situ Hybridization and Multiplexing Assays
In this era of molecular-based medicine, optimization and validation of histological assays is vital for insuring assay reproducibility. The biomedical research community is constantly introducing new antibodies and probes in order to detect and identify target molecules in cells and tissues with the goal of elucidating the biology and seeking out therapeutic targets. Many of these targets are low expression molecules that either require high sensitivity detection systems or are used as companion diagnostics to determine differential expression. Despite the wide spread use of these histological modalities in both research and diagnostic practice, no widespread universally accepted standardization guidelines have been developed and assays remain susceptible to multiple intrinsic and extrinsic factors that decrease reproducibility. Extrinsic elements include common pre- and post-analytical factors. Intrinsic variability is attributed to antibody selection, insufficient assay optimization and poor quality control.
In this special issue, JOH is seeking manuscripts that demonstrate approaches, methods, and procedures for optimizing, characterizing and validating histochemical, immunohistochemical, in-situ, multiplexing and mixed multiplexing techniques for manual and high throughput automated assays. A particular emphasis will be placed on manuscripts using proposed guidelines of method validation . Strategies include genetic (knockouts, knockdowns or RNA interference), orthogonal (proteomic), independent antibody (two antibodies with no overlapping epitopes) or tagged protein expression. Animal models and clinical specimens will fit the scope of this special issue. Authors are invited to submit original research articles, reviews, technical notes and/or case studies on this important topic.
1. Uhlen M, Bandrowski A, Carr S, et al. A proposal for validation of antibodies. Nat Methods. 2016; 13:823-827.
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Additional information is found at Author Services.
Manuscript submission deadline: July 1, 2020.