Evidence map›Paper›PMID 21339172›Full record

ReviewThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2011

Antigen retrieval immunohistochemistry: review and future prospects in research and diagnosis over two decades.

Shan-Rong Shi, Yan Shi, Clive R Taylor

Abstract readReview
In one paragraph

Review in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Histological Processing of Scaffolds: Challenges and Solutions.Journal of functional biomaterials · 2025
    Review
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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shan-Rong ShiDepartment of Pathology, University of Southern California Keck School of Medicine, Los Angeles, California 90033, USA. sshi@usc.edu
Yan Shi
Clive R Taylor

Funding

VALIDATION AND QUANTIFICATION OF FFPE ANTIGEN RETRIEVAL BY PROTEOME ANALYSISR42CA122715 · NCI · CALIBRANT BIOSYSTEMS, INC. · PI FANG, XUEPING · 2008 to 2010
$2.2M
NCI NIH HHS 1 R42 CA122715NCI NIH HHS R42 CA122715
6 · The paper itself

Abstract

As a review for the 20th anniversary of publishing the antigen retrieval (AR) technique in this journal, the authors intend briefly to summarize developments in AR-immunohistochemistry (IHC)-based research and diagnostics, with particular emphasis on current challenges and future research directions. Over the past 20 years, the efforts of many different investigators have coalesced in extending the AR approach to all areas of anatomic pathology diagnosis and research and further have led to AR-based protein extraction techniques and tissue-based proteomics. As a result, formalin-fixed paraffin-embedded (FFPE) archival tissue collections are now seen as a literal treasure of materials for clinical and translational research to an extent unimaginable just two decades ago. Further research in AR-IHC is likely to focus on tissue proteomics, developing a more efficient protocol for protein extraction from FFPE tissue based on the AR principle, and combining the proteomics approach with AR-IHC to establish a practical, sophisticated platform for identifying and using biomarkers in personalized medicine.

Indexed as

DiagnosisAnimalsAntigensHumansImmunohistochemistryProteomicsReference StandardsTissue FixationAntigens

Identifiers

PMID21339172
PMCPMC3201121

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.