In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. 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 itWhat 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
19 authors.
Sean S SoDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-1996-2045 Alexis LonaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.ORCID 0009-0007-6147-3804 Rina PokhrelDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0003-2409-1755 Alexandra L MorganDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.
Mila SaltikovaDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0009-0008-8450-4455 Thy NguyenSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.
Willow Carretero ChavezSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0001-5915-5259 Tony NgoSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0002-6779-2546 Cheng HuangMonash Proteomics & Metabolomics Platform, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.ORCID 0000-0002-4575-1233 Shankar Raj DevkotaDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-3154-7928 Ram Prasad BhusalDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-2997-3995 David H DrewryStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0001-5973-5798 Joel R SteeleMonash Proteomics & Metabolomics Platform, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.ORCID 0000-0002-3070-9761 Ralf B SchittenhelmMonash Proteomics & Metabolomics Platform, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.ORCID 0000-0001-8738-1878 Tracy M HandelSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0002-2558-6138 Irina KufarevaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0001-9083-7039 Martin J StoneDepartment of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0002-6468-4427 Funding
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nevan J Krogan · 2022 to 2026
$14.2MIt's a tug of war: structure, consequences, and inhibition of CXCR4 and ACKR3 responses to lymphocyte chemoattractant CXCL12R01AI161880 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HANDEL, TRACY M, KUFAREVA, IRINA · 2021 to 2025
$3.4MThe structural plasticity of chemokine and gp120 recognition by CCR5R01AI118985 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HANDEL, TRACY M, KUFAREVA, IRINA · 2015 to 2019
$2.7MSignaling circuits that drive cell movement and ligand scavenging by chemokine receptor CCR2R01GM136202 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HANDEL, TRACY M, KUFAREVA, IRINA · 2020 to 2023
$1.9MSpatiotemporally resolved architecture of G protein signaling downstream of CXCR4, the driver of lymphocyte migrationR21AI156662 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUFAREVA, IRINA · 2021 to 2022
$434kComputationally informed discovery of scavenging-sparing inhibitors of CC chemokine receptor 2R21AI149369 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUFAREVA, IRINA · 2020 to 2021
$434kNCI NIH HHS U54 CA274502NIAID NIH HHS R01 AI118985NIAID NIH HHS R01 AI161880NIAID NIH HHS R21 AI149369NIAID NIH HHS R21 AI156662NIGMS NIH HHS R01 GM136202
6 · The paper itselfAbstract
Migration of leukocytes in the context of immune homeostasis or inflammatory diseases is regulated by activation of chemokine receptors by chemokine ligands. To elucidate how these interactions give rise to cell migration, we mapped the chemokine-stimulated signal transduction network in monocytic THP-1 cells. Global phosphoproteomics revealed 630 time-resolved changes in phosphorylated proteins downstream of the chemokine receptor CCR2. We used the "PHONEMeS" network modeling algorithm to generate the most parsimonious signal transduction network consistent with the observed protein phosphorylation data. The CCR2 signaling network is highly divergent, acting via multiple branches to regulate proteins required for cell migration. We validated this model using kinase inhibitors targeting different branches of the network and successfully blocked chemokine-stimulated cell migration. Thus, chemotaxis is an emergent property resulting from an integrated cellular response to divergent signaling pathways. This paradigm suggests that physiological regulation or pharmacological blockade of chemokine-driven inflammation could potentially be achieved by inhibiting any of the divergent pathways within the network.
Identifiers
PMID42146425
PMCPMC13174503
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