Evidence map›Paper›PMID 38106018›Full record

ArticlebioRxiv : the preprint server for biology2023

Spatial organization of adenylyl cyclase and its impact on dopamine signaling in neurons.

Léa Ripoll, Mark von Zastrow

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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
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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

QB3 · USUniversity of California, San Francisco · US

Funding

PROTEINS REGULATING ENDOCYTOSIS OF OPIOID RECEPTORSR01DA012864 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mark E Von Zastrow · 2000 to 2026
$7.9M
Membrane Trafficking of Opioid and Adrenergic ReceptorsR01DA010711 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VONZASTROW, MARK E · 2014 to 2023
$4.6M
Spatiotemporal signaling and trafficking of the mu-opioid receptorR01DA056354 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Ruth Huttenhain · 2022 to 2026
$2.9M
GPR88 localization to primary cilia and its impact on striatal cAMP signalingR01MH120212 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VONZASTROW, MARK E · 2019 to 2023
$2.0M
NIDA NIH HHS R01 DA010711NIDA NIH HHS R01 DA012864NIDA NIH HHS R01 DA056354NIMH NIH HHS R01 MH120212
6 · The paper itself

Abstract

The cAMP cascade is widely recognized to transduce its physiological effects locally through spatially limited cAMP gradients. However, little is known about how the adenylyl cyclase enzymes, which initiate cAMP gradients, are localized. Here we answer this question in physiologically relevant striatal neurons and delineate how AC localization impacts downstream signaling functions. We show that the major striatal AC isoforms are differentially sorted between ciliary and extraciliary domains of the plasma membrane, and that AC9 is uniquely targeted to endosomes. We identify key sorting determinants in the N-terminal cytoplasmic domain responsible for isoform-specific localization. We also show that AC9-containing endosomes accumulate activated dopamine receptors and form an elaborately intertwined network with juxtanuclear PKA stores bound to Golgi membranes. Finally, we show that endosomal localization is critical for AC9 to selectively elevate PKA activity in the nucleus relative to the cytoplasm. These results reveal a precise spatial landscape of the cAMP cascade in neurons and a key role of AC localization in directing downstream signal transduction to the nucleus.

Identifiers

PMID38106018
PMCPMC10723477
OpenAlexW4389432451

What OpenQuestion holds

Textmetadata
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.