{
  "annotation_id": "e90d00f7-1aec-435a-b357-17a5ea9106da",
  "date_created": "2026-03-02T18:01:31.734000Z",
  "date_modified": "2026-03-02T18:01:31.734000Z",
  "file_hash": "74fa5a0cc718f48d9bcb6cb60d1bb9df8290c1a860586080a21073941bce6fcf",
  "private": false,
  "record": {
    "abstract": "We present a vector field method for obtaining the spatial organization of 3D\npatterns of gene expression based on gradients and lines of force obtained by\nnumerical integration. The convergence of these lines of force in local maxima\nare centers of gene expression, providing a natural and powerful framework to\ncharacterize the organization and dynamics of biological structures. We apply\nthis novel methodology to analyze the expression pattern of the Enhanced Green\nFluorescent Protein (EGFP) driven by the promoter of light chain myosin II\nduring zebrafish heart formation.",
    "arxiv_id": "q-bio/0411020",
    "authors": [
      "L. da F. Costa",
      "B. A. N. Travencolo",
      "A. Azeredo",
      "M. E. Beletti",
      "M. E. Beletti",
      "D. Rasskin-Gutman",
      "G. Sternik",
      "J. C. I. Belmonte",
      "G. B. Mueller"
    ],
    "categories": [
      "q-bio.GN",
      "cond-mat.stat-mech",
      "physics.bio-ph",
      "q-bio.TO"
    ],
    "doi": "10.1063/1.1898424",
    "title": "A Field Approach to 3D Gene Expression Pattern Characterization",
    "url": "https://arxiv.org/abs/q-bio/0411020"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "7c55cb09-b20b-4e16-8744-8cfa30b0c7a5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}