Evidence map›Paper›PMID 26016641›Full record

ArticlePloS one2015

Pathway-focused PCR array profiling of enriched populations of laser capture microdissected hippocampal cells after traumatic brain injury.

Deborah R Boone, Maria-Adelaide Micci, Isabella G Taglialatela, Judy L Hellmich, Harris A Weisz, Min Bi, Donald S Prough, Douglas S DeWitt, Helen L Hellmich

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 38 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Deborah R BooneDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Maria-Adelaide MicciDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Isabella G TaglialatelaDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Judy L HellmichDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Harris A WeiszDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Min BiDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Donald S ProughDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Douglas S DeWittDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
Helen L HellmichDepartment of Anesthesiology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas 77555-0830, United States of America.
The University of Texas Medical Branch at Galveston · US

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

Cognitive deficits in survivors of traumatic brain injury (TBI) are associated with irreversible neurodegeneration in brain regions such as the hippocampus. Comparative gene expression analysis of dying and surviving neurons could provide insight into potential therapeutic targets. We used two pathway-specific PCR arrays (RT2 Profiler Apoptosis and Neurotrophins & Receptors PCR arrays) to identify and validate TBI-induced gene expression in dying (Fluoro-Jade-positive) or surviving (Fluoro-Jade-negative) pyramidal neurons obtained by laser capture microdissection (LCM). In the Apoptosis PCR array, dying neurons showed significant increases in expression of genes associated with cell death, inflammation, and endoplasmic reticulum (ER) stress compared with adjacent, surviving neurons. Pro-survival genes with pleiotropic functions were also significantly increased in dying neurons compared to surviving neurons, suggesting that even irreversibly injured neurons are able to mount a protective response. In the Neurotrophins & Receptors PCR array, which consists of genes that are normally expected to be expressed in both groups of hippocampal neurons, only a few genes were expressed at significantly different levels between dying and surviving neurons. Immunohistochemical analysis of selected, differentially expressed proteins supported the gene expression data. This is the first demonstration of pathway-focused PCR array profiling of identified populations of dying and surviving neurons in the brain after TBI. Combining precise laser microdissection of identifiable cells with pathway-focused PCR array analysis is a practical, low-cost alternative to microarrays that provided insight into neuroprotective signals that could be therapeutically targeted to ameliorate TBI-induced neurodegeneration.

Indexed as

Laser Capture MicrodissectionAnimalsApoptosisBrain InjuriesCell SurvivalGene Expression ProfilingHippocampusMaleNerve Growth FactorsNeuronsOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRatsRats, Sprague-DawleySignal TransductionNerve Growth Factors

Identifiers

PMID26016641
PMCPMC4446038
OpenAlexW2270819614

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.