Evidence map›Paper›PMID 21181705›Full record

ArticleMicroscopy research and technique2011

Application of WGA lectin staining for visualization of the connective tissue in skeletal muscle, bone, and ligament/tendon studies.

Tatiana Y Kostrominova

Abstract readEvaluation Study
In one paragraph

Article in Microscopy research and technique, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–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

48 citing papers in PubMed.

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  12. Replacement Fibrosis in the Diaphragm of Mechanically Ventilated Critically Ill Patients.American journal of respiratory and critical care medicine · 2023
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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

1 author.

Tatiana Y KostrominovaDepartment of Anatomy and Cell Biology, Indiana University School of Medicine-Northwest, Gary, Indiana 46409-1008. tkostrom@iun.edu

Funding

Automated analysis of skeletal muscle fiber crossectional area and metabolic typeR41AR055604 · NIAMS · VALA SCIENCES, INC. · PI MCDONOUGH, PATRICK M · 2008 to 2008
$154k
NIAMS NIH HHS R41 AR055604NIAMS NIH HHS R41AR055604
6 · The paper itself

Abstract

During immunostaining of specific proteins in tissue sections using monoclonal and polyclonal antibodies, visualization of general tissue staining/background or major structural features is helpful to pinpoint precise localization of the protein of interest. Often in skeletal muscle research, immunostaining with antibodies against connective tissue or plasma membrane proteins (collagen 1, laminin, and caveolin 3) are used for this purpose. Although immunostaining for these proteins works well, it is time consuming, costly, limits the number of antibodies against protein of interest that can be used on a single section, and is not applicable to some staining techniques. Lectins were frequently used in earlier publications for skeletal muscle fiber boundaries and connective tissue visualization, but are not common in the current research studies. This work investigates costaining of muscle, bone, ligament, and tendon tissue sections with fluorescently tagged wheat germ agglutinin (WGA) lectin as a tool for the visualization of connective tissue. The results of this study show that fluorescent WGA lectin costaining is a cost-effective, fast, and convenient method for connective tissue visualization, especially in the studies where extensive washes reduce staining of the structures that are the primary interest of the investigation.

Indexed as

AnimalsBone and BonesConnective TissueFemaleFluorescent DyesImmunohistochemistryMaleMiceMicroscopy, FluorescenceMuscle, SkeletalRatsRats, Inbred F344TendonsWheat Germ AgglutininsFluorescent DyesWheat Germ Agglutinins

Identifiers

PMID21181705
PMCPMC3058533

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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.