In one paragraphArticle in Nature communications, 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
14 authors.
Yu Deng *Department of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0673-1352 Tatsat Banerjee *Department of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-3490-3959 Satomi MatsuokaLaboratory of Single Molecule Biology, Graduate School of Science and Graduate School of Frontier Biosciences, Osaka University, Suita, Japan.ORCID 0000-0002-4552-4460 Debojyoti BiswasLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-4141-4034 Liz A KurtzDepartment of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY, USA.
Jane BorleisDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Yu LongDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Parijat BanerjeeDepartment of Physics and Astronomy, Johns Hopkins University, Baltimore, MD, USA.
Huiwang ZhanDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Dhiman Sankar PalDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-8442-3507 Nathan H RoyDepartment of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY, USA.
Masahiro UedaLaboratory of Single Molecule Biology, Graduate School of Science and Graduate School of Frontier Biosciences, Osaka University, Suita, Japan.ORCID 0000-0002-9354-3404 Pablo A IglesiasDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0840-155X Peter N DevreotesDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. pnd@jhmi.edu.ORCID 0000-0002-3260-1455 Funding
Excitable Networks in Directed Cell MigrationR35GM118177 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Peter N Devreotes · 2016 to 2026
$12.1MMolecular Mechanisms of Cytoskeletal Mechanosensory SystemsR01GM149073 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Pablo A. Iglesias, DOUGLAS N ROBINSON · 2023 to 2026
$2.6MDefining CasL as an Orchestrator of T cell MigrationR01AI185016 · NIAID · UPSTATE MEDICAL UNIVERSITY · PI Nathan H. Roy · 2024 to 2026
$1.2MZeiss LSM780 Confocal Microscope for a Core FacilityS10OD016374 · OD · JOHNS HOPKINS UNIVERSITY · PI KUO, SCOT CHARLES · 2013 to 2013
$584kUncovering the Roles of PIP5KDuring Cell MigrationF31HL182305 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Yu Deng · 2025 to 2026
$100kMEXT | Japan Science and Technology Agency (JST) JPMJCR21E1MEXT | Japan Science and Technology Agency (JST) JPMJKP25V4United States Department of Defense | U.S. Air Force (United States Air Force) MURI FA95501610052U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) F31HL182305U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01 AI185016U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01 GM149073U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35 GM118177U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) S10OD016374
6 · The paper itselfAbstract
An initial break in plasma membrane symmetry triggers hundreds of spatiotemporally controlled signaling and cytoskeletal events that regulate cell polarization during migration and macropinocytosis. However, the mechanism driving this self-organizing transition remains unknown. Using Dictyostelium amoebae, leukocytes, cancer cells, and 3D organoids, we show that mutual antagonism between activated Ras and phosphatidylinositol 4-phosphate 5-kinase (PIP5K) forms a positive feedback loop fundamental to symmetry breaking and cell polarity. Through dynamic localization mapping, optogenetic perturbation, RasGEF screening, and single-molecule tracking, we reveal that localized Ras activation shortens the membrane lifetime of PIP5K, lowering local PI(4,5)P2, while recruited RasGEF amplifies Ras activation. Dissociated PIP5K redistributes to other membrane domains, suppressing local Ras activation and intrinsically segregating the membrane into complementary activated and inactivated zones, independent of receptor inputs or cytoskeletal dynamics. Incorporating this feedback loop into an excitable network integrated with a reaction-diffusion model and a viscoelastic framework yielded computational simulations that accurately predict spatiotemporal self-organization and polarized cell movement.
Indexed as
Cell MembraneCell MovementCell PolarityDictyosteliumPhosphotransferases (Alcohol Group Acceptor)Protozoan Proteinsras ProteinsAnimalsCytoskeletonFeedback, PhysiologicalHumansSignal Transduction1-phosphatidylinositol-4-phosphate 5-kinasePhosphotransferases (Alcohol Group Acceptor)Protozoan Proteinsras Proteins
Identifiers
PMID42901885
PMCPMC13683415
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