Evidence map›Paper›PMID 19164277›Full record

ArticleMolecular & cellular proteomics : MCP2009

Discovering new bioactive neuropeptides in the striatum secretome using in vivo microdialysis and versatile proteomics.

Benoît Bernay, Marie-Claude Gaillard, Vilém Guryca, Anouk Emadali, Lauriane Kuhn, Anne Bertrand, Isabelle Detraz, Carole Carcenac, Marc Savasta, Emmanuel Brouillet and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

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  7. Secretomics to Discover Regulators in Diseases.International journal of molecular sciences · 2019
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  17. Recent advances in quantitative neuroproteomics.Methods (San Diego, Calif.) · 2013
    Review
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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

12 authors at 9 institutions in 1 country.

Benoît BernayLaboratoire de PhysioGénomique, Service de Biologie Intégrative et Génétique Moléculaire (SBIGeM), Institut de Biologie et de Technologies de Saclay (iBiTec-S), Commissariat à l'Energie Atomique (CEA), F-91191 Gif-sur-Yvette, France. benoitbernay@yahoo.fr
Marie-Claude Gaillard
Vilém Guryca
Anouk Emadali
Lauriane Kuhn
Anne Bertrand
Isabelle Detraz
Carole Carcenac
Marc Savasta
Emmanuel Brouillet
Jérôme Garin
Jean-Marc Elalouf
Université Joseph Fourier · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRCEA Grenoble · FRCEA Paris-Saclay · FRGrenoble Institute of Neurosciences · FRInserm · FRInstitut de Recherches en Technologies et Sciences pour le Vivant · FRInstitut d'Imagerie Biomédicale · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The striatum, a major component of the brain basal nuclei, is central for planning and executing voluntary movements and undergoes lesions in neurodegenerative disorders such as Huntington disease. To perform highly integrated tasks, the striatum relies on a complex network of communication within and between brain regions with a key role devoted to secreted molecules. To characterize the rat striatum secretome, we combined in vivo microdialysis together with proteomics analysis of trypsin digests and peptidomics studies of native fragments. This versatile approach, carried out using different microdialysis probes and mass spectrometer devices, allowed evidencing with high confidence the expression of 88 proteins and 100 processed peptides. Their secretory pathways were predicted by in silico analysis. Whereas high molecular weight proteins were mainly secreted by the classical mode (94%), low molecular weight proteins equally used classical and non-classical modes (53 and 47%, respectively). In addition, our results suggested alternative secretion mechanisms not predicted by bioinformatics tools. Based on spectrum counting, we performed a relative quantification of secreted proteins and peptides in both basal and neuronal depolarization conditions. This allowed detecting a series of neuropeptide precursors and a 6-fold increase for neurosecretory protein VGF and proenkephalin (PENK) levels. A focused investigation and a long peptide experiment led to the identification of new secreted non-opioid PENK peptides, referred to as PENK 114-133, PENK 239-260, and PENK 143-185. Moreover we showed that injecting synthetic PENK 114-133 and PENK 239-260 into the striatum robustly increased glutamate release in this region. Thus, the combination of microdialysis and versatile proteomics methods shed new light on the secreted protein repertoire and evidenced novel neuropeptide transmitters.

Indexed as

MicrodialysisProteomicsSecretory PathwayAmino AcidsAmino Acid SequenceAnimalsMaleMass SpectrometryMembrane PotentialsMolecular Sequence DataMolecular WeightNeostriatumNeuropeptidesProteomeRatsRats, WistarAmino AcidsNeuropeptidesProteome

Identifiers

PMID19164277
PMCPMC2689773
OpenAlexW2127083085

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.