{
  "annotation_id": "cd67b59c-c0e0-4678-b073-0556a7427f9e",
  "date_created": "2026-03-02T18:01:32.279000Z",
  "date_modified": "2026-03-02T18:01:32.279000Z",
  "file_hash": "97c440deec549f4d2031a4940347bf7d7fef4da5257e84c4719c8b3491503574",
  "private": false,
  "record": {
    "abstract": "Chemical signaling is one of the ubiquitous mechanisms by which\ninter-cellular communication takes place at the microscopic level, particularly\nvia chemotaxis. Such multi-cellular systems are popularly studied using\ncontinuum, mean-field equations. In this letter we study a stochastic model of\nchemotactic signaling. The Langevin formalism of the model makes it amenable to\ncalculation via non-perturbative analysis, which enables a quantification of\nthe effect of fluctuations on both the weak and strongly-coupled biological\ndynamics. In particular we show that the (i) self-localization due to\nauto-chemotaxis is impossible. (ii) when aggregation occurs, the aggregate\nperforms a random walk with a renormalized diffusion coefficient $D_R \\propto\n\\epsilon^{-2} N^{-3}$. (iii) the stochastic model exhibits sharp transitions in\ncell motile behavior for negative chemotaxis, behavior which has no parallel in\nthe mean-field Keller-Segel equations.",
    "arxiv_id": "q-bio/0505004",
    "authors": [
      "Ramon Grima"
    ],
    "categories": [
      "q-bio.CB",
      "physics.bio-ph"
    ],
    "doi": "10.1103/PhysRevLett.95.128103",
    "journal_ref": "Physical Review Letters 95, 128103 (2005)",
    "title": "Strong-coupling dynamics of a multi-cellular chemotactic system",
    "url": "https://arxiv.org/abs/q-bio/0505004"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c868523e-a215-44d2-bd46-b888e9e5ecc2",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}