Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 554

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Clustering of AMPA Receptors by the Synaptic PDZ Domain–Containing Protein PICK1

Open access
Xia, Jun, Zhang, Xiaoqun, Staudinger, Jeff, Huganir, Richard L·1999·Neuron

Abstract

Synaptic clustering of neurotransmitter receptors is crucial for efficient signal transduction and integration in neurons. PDZ domain-containing proteins such as PSD-95/SAP90 interact with the intracellular C termini of a variety of receptors and are thought to be important in the targeting and anchoring of receptors to specific synapses. Here, we show that PICK1 (protein interacting with C kinase), a PDZ domain-containing protein, interacts with the C termini of alpha-amino-3-hydroxy-5-methyl-isoxazole-4-propionic acid (AMPA) receptors in vitro and in vivo. In neurons, PICK1 specifically colocalizes with AMPA receptors at excitatory synapses. Furthermore, PICK1 induces clustering of AMPA receptors in heterologous expression systems. These results suggest that PICK1 may play an important role in the modulation of synaptic transmission by regulating the synaptic targeting of AMPA receptors.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0896-6273(00)80689-3

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 41 references

Cited by

See all 554

Metadata

Authors
Xia, J., Zhang, X., Staudinger, J., & Huganir, R. L.
Venue
Neuron
Publisher
Elsevier BV
Published
1999-01
Volume
22
Issue
1
Pages
179-187
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2006108102
Cited by
554
References
41
FWCI
15.58
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Clustering of AMPA Receptors by the Synaptic PDZ Domain–Containing Protein PICK1. https://app.cochat.ai/papers/10.1016/s0896-6273(00)80689-3
The paper
Xia, J., Zhang, X., Staudinger, J., & Huganir, R. L. (1999). Clustering of AMPA Receptors by the Synaptic PDZ Domain–Containing Protein PICK1. Neuron. https://doi.org/10.1016/s0896-6273(00)80689-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.