Evidence map›Paper›PMID 42681229›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Immunolocalization in Xenopus.

Aitana M Castro Colabianchi, Silvia L López

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Aitana M Castro ColabianchiUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Histología, Embriología, Biología Molecular y Genética, Laboratorio de Embriología Molecular "Prof. Dr. Andrés E. Carrasco", Buenos Aires, Argentina. acastrocolabianchi@fmed.uba.ar.
Silvia L LópezUniversidad de Buenos Aires, Facultad de Medicina, Departamento de Histología, Embriología, Biología Molecular y Genética, Laboratorio de Embriología Molecular "Prof. Dr. Andrés E. Carrasco", Buenos Aires, Argentina. slopez@fmed.uba.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunolocalization is an essential technique for studying protein distribution in Xenopus species, enabling researchers to map endogenous protein expression during development and analyze responses to various treatments. This technique is also useful to detect epitope-tagged proteins, tagged morpholinos, and tracers. Although antibodies raised specifically against Xenopus are preferred for the detection of endogenous proteins, the limited availability of these reagents implies that cross-species antibodies are frequently employed and remain a crucial strategy. Consequently, rigorous antibody selection and validation are essential for ensuring the success and reliability of the technique. This chapter details immunohistochemistry (IHC) and immunofluorescence (IF) protocols that can be seamlessly combined with whole-mount in situ hybridization (WISH) techniques to simultaneously detect both protein and mRNA localization in Xenopus. We also provide comprehensive guidance on antibody selection criteria, specificity testing, and subsequent IF quantitative image analysis, which allows for robust statistical comparison of fluorescence differences across samples, regions of interest, or subcellular domains.

Indexed as

Fluorescent Antibody TechniqueImmunohistochemistryXenopusXenopus laevisXenopus ProteinsAnimalsAntibodiesIn Situ HybridizationRNA, MessengerAntibodiesRNA, MessengerXenopus ProteinsAntibody validationDual RNA–protein detectionImage quantificationImage segmentationImagingImmunofluorescenceImmunohistochemistryProtein localizationRNA localizationSpatial protein pattern

Identifiers

What OpenQuestion holds

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Registered trials

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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.