Evidence map›Paper›PMID 36178190›Full record

ArticleeLife2022

Identification of orphan ligand-receptor relationships using a cell-based CRISPRa enrichment screening platform.

Dirk H Siepe, Lukas T Henneberg, Steven C Wilson, Gaelen T Hess, Michael C Bassik, Kai Zinn, K Christopher Garcia

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Multiplexed Pan Soluble Ligandome Assaying via OASIS.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. CRISPR-Cas-mediated transcriptional modulation: The therapeutic promises of CRISPRa and CRISPRi.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Review
  17. 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

7 authors at 3 institutions in 1 country.

Dirk H SiepeDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, United States.ORCID 0000-0002-0009-8023
Lukas T HennebergDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, United States.ORCID 0000-0003-3477-4541
Steven C WilsonDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, United States.
Gaelen T HessStanford ChEM-H, Department of Genetics, Stanford University, Stanford, United States.
Michael C BassikStanford ChEM-H, Department of Genetics, Stanford University, Stanford, United States.ORCID 0000-0001-5185-8427
Kai ZinnDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.ORCID 0000-0002-6706-5605
K Christopher GarciaDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, United States.ORCID 0000-0001-9273-0278
Stanford University · USCalifornia Institute of Technology · USHoward Hughes Medical Institute · US

Funding

A Global Map of Interactions Among Human Cell Surface Proteins and Secreted LigandsR01GM150125 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GARCIA, KENAN CHRISTOPHER, THOMSON, MATTHEW W. · 2022 to 2025
$11.3M
MOLECULAR GENETICS OF DROSOPHILA CNS DEVELOPMENTR01NS028182 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Engin Ozkan, KAI G ZINN · 1990 to 2026
$7.3M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM150125NINDS NIH HHS R01 NS028182
6 · The paper itself

Abstract

Secreted proteins, which include cytokines, hormones, and growth factors, are extracellular ligands that control key signaling pathways mediating cell-cell communication within and between tissues and organs. Many drugs target secreted ligands and their cell surface receptors. Still, there are hundreds of secreted human proteins that either have no identified receptors ('orphans') or are likely to act through cell surface receptors that have not yet been characterized. Discovery of secreted ligand-receptor interactions by high-throughput screening has been problematic, because the most commonly used high-throughput methods for protein-protein interaction (PPI) screening are not optimized for extracellular interactions. Cell-based screening is a promising technology for the deorphanization of ligand-receptor interactions, because multimerized ligands can enrich for cells expressing low affinity cell surface receptors, and such methods do not require purification of receptor extracellular domains. Here, we present a proteo-genomic cell-based CRISPR activation (CRISPRa) enrichment screening platform employing customized pooled cell surface receptor sgRNA libraries in combination with a magnetic bead selection-based enrichment workflow for rapid, parallel ligand-receptor deorphanization. We curated 80 potentially high-value orphan secreted proteins and ultimately screened 20 secreted ligands against two cell sgRNA libraries with targeted expression of all single-pass (TM1) or multi-pass transmembrane (TM2+) receptors by CRISPRa. We identified previously unknown interactions in 12 of these screens, and validated several of them using surface plasmon resonance and/or cell binding assays. The newly deorphanized ligands include three receptor protein tyrosine phosphatase (RPTP) ligands and a chemokine-like protein that binds to killer immunoglobulin-like receptors (KIRs). These new interactions provide a resource for future investigations of interactions between the human-secreted and membrane proteomes.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsProteomeCytokinesHormonesHumansImmunoglobulinsLigandsProtein BindingReceptors, Cell SurfaceCytokinesHormonesImmunoglobulinsLigandsProteomeReceptors, Cell Surfacebiochemistrycell biologychemical biologyCRISPRhumanligandprotein-protein interactionreceptorsscreensecreted proteome

Identifiers

PMID36178190
PMCPMC9578707
OpenAlexW4298088731

What OpenQuestion holds

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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.