ReviewHistochemistry and cell biology2008
Quality control in molecular immunohistochemistry.
Review in Histochemistry and cell biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 83 citations in OpenAlex.
- Diagnostic confirmation of adult sinonasal rhabdomyosarcoma through comprehensive immunohistochemical profiling: a case report.BMC surgery · 2026Article
- Multiparametric cellular and spatial organization in cancer tissue lesions with a streamlined pipeline.Nature biomedical engineering · 2026Article
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- Kidney mRNA-protein expression correlation: what can we learn from the Human Protein Atlas?Journal of nephrology · 2025Article
- Preservation of proteins in the geosphere.Nature ecology & evolution · 2024Review
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- Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists.Patterns (New York, N.Y.) · 2023Article
- Validation of automated positive cell and region detection of immunohistochemically stained laryngeal tumor tissue using digital image analysis.Journal of pathology informatics · 2023Article
- Proposal of Diagnostic Approach of Periodontal Primary Non Hodgkin Lymphoma of Bone with Flow Cytometry as an Essential Diagnostic Component.Head and neck pathology · 2022Article
- Refining patient selection of MET-activated non-small cell lung cancer through biomarker precision.Cancer treatment reviews · 2022Review
- Immunohistochemical staining of immunoglobulin G in healthy equine, canine, and feline corneas.Veterinary ophthalmology · 2022Article
- SHANK3 Antibody Validation: Differential Performance in Western Blotting, Immunocyto- and Immunohistochemistry.Frontiers in synaptic neuroscience · 2022Article
- Comprehensive Analysis and Summary of the Value of Immunophenotypes of Mature NK Cell Tumors for Differential Diagnosis, Treatment, and Prognosis.Frontiers in immunology · 2022Article
- An Interactive Pipeline for Quantitative Histopathological Analysis of Spatially Defined Drug Effects in Tumors.Journal of pathology informatics · 2021Article
- Immunohistochemical analysis of protein expression in formalin fixed paraffin embedded human intervertebral disc tissues.JOR spine · 2020Article
- The Hypoxic Response Expression as a Survival Biomarkers in Treatment-Naive Advanced Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2020Article
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Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunoperoxidase histochemistry is a widespread method of assessing expression of biomolecules in tissue samples. Accurate assessment of the expression levels of genes is critical for the management of disease, particularly as therapy targeted to specific molecules becomes more widespread. Determining the quality of preservation of macromolecules in tissue is important to avoid false negative and false positive results. In this review we discuss (1) issues of sensitivity (false negativity) and specificity (false positivity) of immunohistochemical stains, (2) approaches to better understanding differences in immunostains done by different laboratories (including the recently proposed MISFISHIE specification for tissue localization studies), and (3) approaches to assessing the quality of preservation of macromolecules in tissue, particularly in small biopsy samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.