In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
14 authors.
Taylor N LaFlamDivision of Pediatric Rheumatology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7393-8612 Christian B BillesbølleDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8084-1552 Tuan DinhDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Finn D WolfreysDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-1057-633X Erick LuDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8175-5146 Tomas MattesonDivision of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Jinping AnDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
Ying XuDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
Arushi SinghalGladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
Nadav BrandesDepartment of Biochemistry and Molecular Pharmacology, New York University, New York, NY, USA.ORCID 0000-0002-0510-2546 Vasilis NtranosDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2477-0670 Aashish ManglikDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7173-3741 Jason G CysterDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-4735-9745 Funding
Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1MResearch BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAISSE, CHRISTIAN · 2003 to 2019
$21.8MProject 2: Assessing Brain Dysfunction in Clinically Quiescent SLEP01AI172523 · NIAID · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI Chun Jimmie Ye · 2024 to 2026
$11.4MMOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0MRESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2MChemokines and Lymphoid Tissue Organization and FunctionR01AI045073 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1999 to 2023
$7.6MChimeraX -- Next Generation Visualization and Analysis Software for Multiscale ModelingR01GM129325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2018 to 2025
$5.2MMapping the cell-type-specific molecular and genetic basis of lupus using single cell multiomicsR01AI171184 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Chun Jimmie Ye · 2024 to 2026
$2.4MAcquisition of an electron microscope for high-resolution single particle cryo-EMS10OD021741 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2016 to 2016
$2.0MGlacios™ Cryo Transmission Electron Microscope with 200 kV XFEG opticsS10OD026881 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2019 to 2019
$1.8MChemokines and Lymphoid Tissue Organization and FunctionR37AI045073 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jason G Cyster · 2024 to 2026
$1.7MIllumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583kNIAID NIH HHS P01 AI172523NIAID NIH HHS R01 AI045073NIAID NIH HHS R01 AI171184NIAID NIH HHS R37 AI045073NIAID NIH HHS T32 AI007334NIAMS NIH HHS P30 AR070155NICHD NIH HHS K12 HD000850NIDDK NIH HHS P30 DK063720NIGMS NIH HHS R01 GM129325NIH HHS S10 OD020054NIH HHS S10 OD021741NIH HHS S10 OD021822NIH HHS S10 OD026881NIH HHS S10 OD028511
6 · The paper itselfAbstract
Missense variants can have pleiotropic effects on protein function and predicting these effects can be difficult. We performed near-saturation deep mutational scanning of P2RY8, a G-protein-coupled receptor that promotes germinal center B cell confinement. We assayed the effect of each variant on surface expression, migration, and proliferation. We delineated variants that affected both expression and function, affected function independently of expression, and discrepantly affected migration and proliferation. We also used cryo-electron microscopy to determine the structure of activated, ligand-bound P2RY8, providing structural insights into the effects of variants on ligand binding and signal transmission. We applied the deep mutational scanning results to both improve computational variant effect predictions and to characterize the phenotype of germline variants and lymphoma-associated variants. Together, our results demonstrate the power of integrating deep mutational scanning, structure determination, and in silico prediction to advance the understanding of a receptor important in human health.
Identifiers
PMID40093123
PMCPMC11908195
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