Evidence map›Paper›PMID 39386521›Full record

ArticlebioRxiv : the preprint server for biology2024

Location-biased β-arrestin conformations direct GPCR signaling.

Uyen Pham, Anand Chundi, Tomasz Maciej Stępniewski, Srikrishna Darbha, Dylan Scott Eiger, Sonia Gazula, Julia Gardner, Chloe Hicks, Jana Selent, Sudarshan Rajagopal

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Uyen PhamDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-2038-6794
Anand ChundiDepartment of Medicine, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0001-8148-7479
Tomasz Maciej StępniewskiResearch Programme on Biomedical Informatics (GRIB), Department of Experimental and Health Sciences of Pompeu Fabra University (UPF)-Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.ORCID 0000-0002-6828-9192
Srikrishna DarbhaTrinity College, Duke University, Durham, NC, 27710, USA.ORCID 0009-0001-0453-5972
Dylan Scott EigerDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA.ORCID 0000-0001-9572-6282
Sonia GazulaPenn Dental Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0009-0003-7087-6614
Julia GardnerPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-1581-5048
Chloe HicksYale University School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0001-6728-7737
Jana SelentResearch Programme on Biomedical Informatics (GRIB), Department of Experimental and Health Sciences of Pompeu Fabra University (UPF)-Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.ORCID 0000-0002-1844-4449
Sudarshan RajagopalDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-3443-5040

Funding

Biasing CXCR3 Signaling to Modulate the Inflammatory ResponseR01GM122798 · NIGMS · DUKE UNIVERSITY · PI RAJAGOPAL, SUDARSHAN · 2017 to 2025
$3.2M
NIGMS NIH HHS R01 GM122798
6 · The paper itself

Abstract

β-arrestins are multifunctional intracellular proteins that regulate the desensitization, internalization and signaling of over 800 different G protein-coupled receptors (GPCRs) and interact with a diverse array of cellular partners

Indexed as

beta-arrestinbiased agonismbiased signalingbiosensorscatalytic activationconformationsFlAsHGPCRG protein-coupled receptorlocation biasMAP kinase

Identifiers

PMID39386521
PMCPMC11463559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.