Evidence map›Paper›PMID 26780384›Full record

ArticleThe Journal of comparative neurology2016

Extracellular matrix protein expression is brain region dependent.

Stephanie Dauth, Thomas Grevesse, Harry Pantazopoulos, Patrick H Campbell, Ben M Maoz, Sabina Berretta, Kevin Kit Parker

Open access · greenAbstract read
In one paragraph

Article in The Journal of comparative neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 135 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review

20 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Stephanie DauthDisease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138.
Thomas GrevesseDisease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138.
Harry PantazopoulosTranslational Neuroscience Laboratory, McLean Hospital, Belmont, Massachusetts, 02478.
Patrick H CampbellDisease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138.
Ben M MaozDisease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138.
Sabina BerrettaTranslational Neuroscience Laboratory, McLean Hospital, Belmont, Massachusetts, 02478.
Kevin Kit ParkerDisease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, 02138.
Harvard University · USMcLean Hospital · US

Funding

Super-Resolution ImagingP30NS072030 · NINDS · HARVARD MEDICAL SCHOOL · PI REGEHR, WADE G · 2011 to 2020
$5.8M
Disruption of Extracellular Matrix-Glial Interactions in SchizophreniaR01MH086522 · NIMH · MCLEAN HOSPITAL · PI BERRETTA, SABINA · 2011 to 2015
$2.0M
NIMH NIH HHS R01 MH086522NINDS NIH HHS NS072030NINDS NIH HHS P30 NS072030
6 · The paper itself

Abstract

In the brain, extracellular matrix (ECM) components form networks that contribute to structural and functional diversity. Maladaptive remodeling of ECM networks has been reported in neurodegenerative and psychiatric disorders, suggesting that the brain microenvironment is a dynamic structure. A lack of quantitative information about ECM distribution in the brain hinders an understanding of region-specific ECM functions and the role of ECM in health and disease. We hypothesized that each ECM protein as well as specific ECM structures, such as perineuronal nets (PNNs) and interstitial matrix, are differentially distributed throughout the brain, contributing to the unique structure and function in the various regions of the brain. To test our hypothesis, we quantitatively analyzed the distribution, colocalization, and protein expression of aggrecan, brevican, and tenascin-R throughout the rat brain utilizing immunohistochemistry and mass spectrometry analysis and assessed the effect of aggrecan, brevican, and/or tenascin-R on neurite outgrowth in vitro. We focused on aggrecan, brevican, and tenascin-R as they are especially expressed in the mature brain, and have established roles in brain development, plasticity, and neurite outgrowth. The results revealed a differentiated distribution of all three proteins throughout the brain and indicated that their presence significantly reduces neurite outgrowth in a 3D in vitro environment. These results underline the importance of a unique and complex ECM distribution for brain physiology and suggest that encoding the distribution of distinct ECM proteins throughout the brain will aid in understanding their function in physiology and in turn assist in identifying their role in disease. J. Comp. Neurol. 524:1309-1336, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

Gene Expression RegulationAggrecansAnalysis of VarianceAnimalsAnimals, NewbornBrainBrevicanCells, CulturedCerebral CortexExtracellular Matrix ProteinsFemaleImaging, Three-DimensionalMass SpectrometryNerve NetNeuritesNeuroimagingAggrecansBrevicanExtracellular Matrix ProteinsTubb3 protein, ratTubulinaggrecanbrain extracellular matrixbrevicanperineuronal netsRRID: AB_2207009RRID: AB_398211RRID: AB_90460tenascin-R

Identifiers

PMID26780384
PMCPMC7714387
OpenAlexW2333301394

What OpenQuestion holds

Textmetadata
LicenceTDM
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.