Evidence map›Paper›PMID 28930995›Full record

ArticleJournal of visualized experiments : JoVE2017

Stereotactic Atlas-Guided Laser Capture Microdissection of Brain Regions Affected by Traumatic Injury.

Harris A Weisz, Deborah R Boone, Stacy L Sell, Helen L Hellmich

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Rostromedial tegmental nucleus nociceptin/orphanin FQ (N/OFQ) signaling regulates anxiety- and depression-like behaviors in alcohol withdrawn rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    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.

Harris A WeiszDepartment of Anesthesiology, University of Texas Medical Branch.
Deborah R BooneDepartment of Anesthesiology, University of Texas Medical Branch.
Stacy L SellDepartment of Anesthesiology, University of Texas Medical Branch.
Helen L HellmichDepartment of Anesthesiology, University of Texas Medical Branch; hhellmic@utmb.edu.

Funding

In Vivo RNAi of Injury Signals After Brain InjuryR01NS052532 · NINDS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HELLMICH, HELEN L · 2007 to 2011
$1.9M
NINDS NIH HHS R01 NS052532
6 · The paper itself

Abstract

The ability to isolate specific brain regions of interest can be impeded in tissue disassociation techniques that do not preserve their spatial distribution. Such techniques also potentially skew gene expression analysis because the process itself can alter expression patterns in individual cells. Here we describe a laser capture microdissection (LCM) method to selectively collect specific brain regions affected by traumatic brain injury (TBI) by using a modified Nissl (cresyl violet) staining protocol and the guidance of a rat brain atlas. LCM provides access to brain regions in their native positions and the ability to use anatomical landmarks for identification of each specific region. To this end, LCM has been used previously to examine brain region specific gene expression in TBI. This protocol allows examination of TBI-induced alterations in gene and microRNA expression in distinct brain areas within the same animal. The principles of this protocol can be amended and applied to a wide range of studies examining genomic expression in other disease and/or animal models.

Indexed as

AnimalsBrainBrain InjuriesGene ExpressionLaser Capture MicrodissectionMaleRatsRats, Sprague-Dawley

Identifiers

PMID28930995
PMCPMC5752209

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.