Evidence map›Paper›PMID 22579877›Full record

ArticleJournal of neuroscience methods2012

Dual use of immunohistochemistry for film densitometry and light microscopy.

Miguel Melendez-Ferro, Matthew W Rice, Rosalinda C Roberts, Emma Perez-Costas

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Miguel Melendez-FerroDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center (SC865 C), 1720 7th Avenue South, Birmingham, AL 35294, USA. melendez@uab.edu
Matthew W Rice
Rosalinda C Roberts
Emma Perez-Costas

Funding

NEUROPATHOLOGY OF DOPAMINE SYSTEMS IN SCHIZOPHRENIAR01MH066123 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI ROBERTS, ROSALINDA C · 2003 to 2015
$3.6M
NIMH NIH HHS R01 MH066123
6 · The paper itself

Abstract

In the present study, we applied the principles of immunoblotting and light microscopy immunohistochemistry to develop a combined methodology that allows obtaining optical density data in films, as well as morphological and protein distribution data on slides using the same brain tissue section, thus maximizing the data obtained from a single sample. This is especially important when experiments are performed using very valuable or unique tissue samples, which is a very common case in the study of the human brain. The ideal methodology should combine the possibility of measuring levels of expression of a marker, and the capability to map accurately the distribution of that marker in the region of interest. To achieve this, two things are required: first, the technique needs to be sensitive enough to obtain optical density or intensity measurements of the marker, and second, a good preservation of the tissue is needed for the study of distribution patterns and morphological analysis. Here we show that our combined methodology produced reliable results for different tissue preservation conditions (fresh-frozen and fixed tissue), in different species (rat and human), in different brain areas (substantia nigra and striatum), and for the detection of different markers (tyrosine hydroxylase and μ-opioid receptor). This methodology also combines the accuracy of optical density data acquisition in film with obtaining histological slides from the same sample. In summary, the methodology proposed here is very versatile and does not require the use of specialized equipment, other than the routine equipment present in an anatomy laboratory.

Indexed as

Equipment DesignEquipment Failure AnalysisFilm DosimetryImmunoblottingMicroscopySystems Integration

Identifiers

PMID22579877
PMCPMC3376202

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.