Evidence map›Paper›PMID 19562802›Full record

ArticleProteomics2009

Systems approach to explore components and interactions in the presynapse.

Noura S Abul-Husn, Ittai Bushlin, José A Morón, Sherry L Jenkins, Georgia Dolios, Rong Wang, Ravi Iyengar, Avi Ma'ayan, Lakshmi A Devi

Abstract read
In one paragraph

Article in Proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. CB1R activates the epilepsy-associated protein Go to regulate neurotransmitter release and synaptic plasticity in the cerebellum.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
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  9. Review
  10. Article
  11. Article
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  13. Article
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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.

Noura S Abul-HusnDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.
Ittai Bushlin
José A Morón
Sherry L Jenkins
Georgia Dolios
Rong Wang
Ravi Iyengar
Avi Ma'ayan
Lakshmi A Devi

Funding

System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAPH, SUSANA NEVES · 2007 to 2017
$22.8M
YNG1 PHD BINDING TO H3 3METHYL AT K4 PROMOTES TRANSCRIPTION AT TARGETED ORFSP41RR000862 · NCRR · ROCKEFELLER UNIVERSITY · PI DARNELL, JAMES E · 1985 to 2011
$16.1M
MOLECULAR MECHANISM OF DESENSITIZATIONR01GM054508 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI IYENGAR, SRINIVAS RAVI V · 1995 to 2016
$8.0M
Enzymes Involved in Neuropeptide Biosynthesis, Processing and RegulationR01NS026880 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DEVI, LAKSHMI A · 1994 to 2019
$6.5M
Regulation Of Opioid Receptor Signaling by Endogenous PeptidesR01DA008863 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Lakshmi A Devi, Elyssa Margolis · 1995 to 2026
$6.1M
TRAINING IN PHARMACOLOGY OF DRUGS OF ABUSET32DA007135 · NIDA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI DEVI, LAKSHMI A · 1985 to 2018
$4.9M
Post-translational Regulation of Opioid and Cannabinoid Receptors.R37DA008863 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEVI, LAKSHMI A · 2012 to 2021
$4.6M
THE NINDS MASS SPECTROMETRY PROTEOMICS CENTER FOR NEUROSCIENCES AT MSSMP30NS061777 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, RONG · 2009 to 2014
$3.9M
STRUCTURE/FUNCTION OF SIGNAL TRANSDUCING COMPONENTSR01DK038761 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI IYENGAR, SRINIVAS RAVI V · 1986 to 2008
$2.4M
MASS SPECTROMETRY SHARED RESOURCER24CA088325 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI WANG, RONG · 2001 to 2005
$1.4M
Advanced Microscopy Shared Resource FacilityR24CA095823 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FRIEDRICH, VICTOR LOUIS · 2002 to 2006
$1.3M
POST-TRANSLATIONAL REGULATION OF OPIOID RECEPTORSK05DA019521 · NIDA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI DEVI, LAKSHMI A · 2005 to 2014
$1.2M
NCI NIH HHS CA88325NCI NIH HHS R24 CA088325NCI NIH HHS R24 CA095823NCRR NIH HHS P41 RR000862NCRR NIH HHS RR017802NCRR NIH HHS S10 RR017802NCRR NIH HHS S10 RR022415NIDA NIH HHS DA019521NIDA NIH HHS DA08863NIDA NIH HHS K02 DA000458NIDA NIH HHS K05 DA019521NIDA NIH HHS R01 DA008863NIDA NIH HHS R13 DA025367NIDA NIH HHS R13 DA026655NIDA NIH HHS R37 DA008863NIDA NIH HHS R56 DA008863NIDA NIH HHS T32 DA007135NIDDK NIH HHS DK 38761NIDDK NIH HHS R01 DK038761NIGMS NIH HHS 1P50GM071558-01A27398NIGMS NIH HHS GM54508NIGMS NIH HHS P50 GM071558NIGMS NIH HHS R01 GM054508NINDS NIH HHS K04 NS001788NINDS NIH HHS P30 NS061777NINDS NIH HHS R01 NS026880NINDS NIH HHS R03 NS053751
6 · The paper itself

Abstract

The application of proteomic techniques to neuroscientific research provides an opportunity for a greater understanding of nervous system structure and function. As increasing amounts of neuroproteomic data become available, it is necessary to formulate methods to integrate these data in a meaningful way to obtain a more comprehensive picture of neuronal subcompartments. Furthermore, computational methods can be used to make biologically relevant predictions from large proteomic data sets. Here, we applied an integrated proteomics and systems biology approach to characterize the presynaptic (PRE) nerve terminal. For this, we carried out proteomic analyses of presynaptically enriched fractions, and generated a PRE literature-based protein-protein interaction network. We combined these with other proteomic analyses to generate a core list of 117 PRE proteins, and used graph theory-inspired algorithms to predict 92 additional components and a PRE complex containing 17 proteins. Some of these predictions were validated experimentally, indicating that the computational analyses can identify novel proteins and complexes in a subcellular compartment. We conclude that the combination of techniques (proteomics, data integration, and computational analyses) used in this study are useful in obtaining a comprehensive understanding of functional components, especially low-abundance entities and/or interactions in the PRE nerve terminal.

Indexed as

AnimalsChromatography, High Pressure LiquidDatabases, ProteinHippocampusImmunohistochemistryMaleMiceMice, Inbred C57BLPresynaptic TerminalsProteomeProteomicsRatsRats, Sprague-DawleyReproducibility of ResultsSignal TransductionTandem Mass SpectrometryProteome

Identifiers

PMID19562802
PMCPMC2766278

What OpenQuestion holds

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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.