Evidence map›Paper›PMID 23532308›Full record

ArticleNeurochemical research2013

Novel structure--function information on biogenic amine transporters revealed by site-directed mutagenesis and alkylation.

Maarten E A Reith

Open access · greenAbstract readComment
In one paragraph

Article in Neurochemical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Maarten E A ReithDepartment of Psychiatry, and Biochemistry and Molecular Pharmacology, Alexandria Center for Life Sciences, New York University School of Medicine, 450 E 29th Street, New York, NY 10016, USA. maarten.reith@nyumc.org
New York University · US

Funding

Dopamine Transporters: Mechanisms of Ligand InteractionR01DA019676 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REITH, MAARTEN E · 2006 to 2016
$2.9M
Structural and Mechanistic Characterization of Neurotransmitter Reuptake InhibitiR01MH083840 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WANG, DANENG · 2008 to 2012
$2.2M
Structural and mechanistic studies of INDY proteinsR01DK099023 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WANG, DANENG · 2013 to 2016
$1.5M
NIDA NIH HHS R01 DA019676NIDDK NIH HHS R01 DK099023NIMH NIH HHS R01 MH083840
6 · The paper itself

Abstract

The study reported by Wenge and Bönisch in this issue provides critical structural information regarding extracellular loop 2 (EL2) of the human norepinephrine transporter (NET). A systematic search among all 10 cysteine and 13 histidine residues in NET led to His222 in EL2 as the target for N-ethylmaleimide: its alkylation interferes with [(3)H]nisoxetine binding, indicating the part of EL2 containing His 222 reaches back into the protein interior where it prevents access by nisoxetine to its binding site. Thus, EL2 in human NET does much more than conformationally assisting substrate translocation. The present study underscores the importance of site-directed mutagenesis approaches to elucidate structural features that cannot be deduced from crystals of homolog proteins. In the case of NET, the closest crystal structure is that of the homolog LeuT, but EL2 is difficult to align with 22 less loop residues in LeuT than in NET. The present results could only be achieved by the systematic mutagenesis study of all cysteines and all histidines in NET.

Indexed as

CysteineHistidineHumansNorepinephrine Plasma Membrane Transport ProteinsCysteineHistidineNorepinephrine Plasma Membrane Transport Proteins

Identifiers

PMID23532308
PMCPMC3702163
OpenAlexW1966711625

What OpenQuestion holds

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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.