{
  "annotation_id": "f69fccf5-bd0e-4fe4-b1d1-4c5b2cfc8b51",
  "date_created": "2026-03-02T18:01:34.730000Z",
  "date_modified": "2026-03-02T18:01:34.730000Z",
  "file_hash": "e022fa87df3e21209a4283c5abd8b6152985e5ef7881d4d0bf25dcc006c043fa",
  "private": false,
  "record": {
    "abstract": "We build a simple model for feedback systems involving small RNA (sRNA)\nmolecules based on the iron metabolism system in the bacterium E. coli, and\ncompare it with the corresponding system in H. pylori which uses purely\ntranscriptional regulation. This reveals several unique features of sRNA based\nregulation that could be exploited by cells. Firstly, we show that sRNA\nregulation can maintain a smaller turnover of target mRNAs than transcriptional\nregulation, without sacrificing the speed of response to external shocks.\nSecondly, we propose that a single sRNA can prioritize the usage of different\ntarget mRNAs. This suggests that sRNA regulation would be more common in more\ncomplex systems which need to co-regulate many mRNAs efficiently.",
    "arxiv_id": "q-bio/0611069",
    "authors": [
      "Namiko Mitarai",
      "Anna M. C. Andersson",
      "Sandeep Krishna",
      "Szabolcs Semsey",
      "Kim Sneppen"
    ],
    "categories": [
      "q-bio.MN"
    ],
    "doi": "10.1088/1478-3975/4/3/003",
    "journal_ref": "physical biology 4, 164-171 (2007)",
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Efficient Degradation and Expression Prioritization with Small RNAs",
    "url": "https://arxiv.org/abs/q-bio/0611069"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "65b9592d-75aa-4808-a980-93ffe4f0fc3c",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}