Evidence map›Paper›PMID 33052901›Full record

ArticlePLoS genetics2020

A high-throughput CRISPR interference screen for dissecting functional regulators of GPCR/cAMP signaling.

Khairunnisa Mentari Semesta, Ruilin Tian, Martin Kampmann, Mark von Zastrow, Nikoleta G Tsvetanova

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Extensive location bias of the GPCR-dependent translatome via site-selective activation of mTOR.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. CRISPR applications in cancer diagnosis and treatment.Cellular & molecular biology letters · 2023
    Review
  14. The psychosis risk factorbioRxiv : the preprint server for biology · 2023
    Article
  15. Article
  16. Article
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

5 authors at 2 institutions in 1 country.

Khairunnisa Mentari SemestaDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-8941-1399
Ruilin TianInstitute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, California, United States of America.ORCID 0000-0001-7680-6682
Martin KampmannInstitute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, California, United States of America.
Mark von ZastrowDepartment of Psychiatry, University of California, San Francisco, California, United States of America.ORCID 0000-0003-1375-6926
Nikoleta G TsvetanovaDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-6533-187X
University of California, San Francisco · USDuke University · 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
Multiplex interrogation of neuromodulatory signaling in behaving animals with enhanced depth and resolutionU01NS120820 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TIAN, LIN, VONZASTROW, MARK E · 2021 to 2024
$3.5M
MEMBRANE TRAFFICKING OF OPIOID RECEPTORSR37DA010711 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VONZASTROW, MARK E · 2004 to 2013
$3.1M
Rewiring of the human protein homeostasis network in normal and disease contextsDP2GM119139 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN · 2015 to 2015
$2.3M
Functional specialization of compartmentalized beta2-adrenergic signaling in neuronsR00MH109633 · NIMH · DUKE UNIVERSITY · PI TSVETANOVA, NIKOLETA GEORGIEVA · 2018 to 2020
$743k
MEMBRANE TRAFFICKING OF OPIOID RECEPTORSR29DA010711 · NIDA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI VON ZASTROW, MARK E. · 1997 to 2003
$413k
Functional specialization of compartmentalized beta2-adrenergic signaling in neuronsK99MH109633 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSVETANOVA, NIKOLETA GEORGIEVA · 2016 to 2017
$242k
NIDA NIH HHS R01 DA010711NIDA NIH HHS R01 DA012864NIDA NIH HHS R29 DA010711NIDA NIH HHS R37 DA010711NIGMS NIH HHS DP2 GM119139NIMH NIH HHS K99 MH109633NIMH NIH HHS R00 MH109633NINDS NIH HHS U01 NS120820
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) allow cells to respond to chemical and sensory stimuli through generation of second messengers, such as cyclic AMP (cAMP), which in turn mediate a myriad of processes, including cell survival, proliferation, and differentiation. In order to gain deeper insights into the complex biology and physiology of these key cellular pathways, it is critical to be able to globally map the molecular factors that shape cascade function. Yet, to this date, efforts to systematically identify regulators of GPCR/cAMP signaling have been lacking. Here, we combined genome-wide screening based on CRISPR interference with a novel sortable transcriptional reporter that provides robust readout for cAMP signaling, and carried out a functional screen for regulators of the pathway. Due to the sortable nature of the platform, we were able to assay regulators with strong and moderate phenotypes by analyzing sgRNA distribution among three fractions with distinct reporter expression. We identified 45 regulators with strong and 50 regulators with moderate phenotypes not previously known to be involved in cAMP signaling. In follow-up experiments, we validated the functional effects of seven newly discovered mediators (NUP93, PRIM1, RUVBL1, PKMYT1, TP53, SF3A2, and HRAS), and showed that they control distinct steps of the pathway. Thus, our study provides proof of principle that the screening platform can be applied successfully to identify bona fide regulators of GPCR/second messenger cascades in an unbiased and high-throughput manner, and illuminates the remarkable functional diversity among GPCR regulators.

Indexed as

ATPases Associated with Diverse Cellular ActivitiesCarrier ProteinsCell DifferentiationCell ProliferationCells, CulturedCRISPR-Cas SystemsCyclic AMPDNA HelicasesDNA PrimaseHEK293 CellsHumansMembrane ProteinsNuclear Pore Complex ProteinsProtein Serine-Threonine KinasesProtein-Tyrosine KinasesProto-Oncogene Proteins p21(ras)ATPases Associated with Diverse Cellular ActivitiesCarrier ProteinsCyclic AMPDNA HelicasesDNA PrimaseHRAS protein, humanMembrane ProteinsNuclear Pore Complex ProteinsNup93 protein, humanPKMYT1 protein, humanPRIM1 protein, humanProtein Serine-Threonine KinasesProtein-Tyrosine KinasesProto-Oncogene Proteins p21(ras)Receptors, G-Protein-CoupledRNA Splicing FactorsRUVBL1 protein, humanSF3A2 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33052901
PMCPMC7588078
OpenAlexW3092853001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.