{
  "id": 10711429,
  "title": "A subcellular spatial proteome of the non-photosynthetic euglenid Euglena longa",
  "url": "https://urgent.news/2026/09/29/a-subcellular-spatial-proteome-of-the-non-photosynthetic-euglenid",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-29T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.28.755152v1?rss=1"
  },
  "original_language": "en",
  "account": "Euglena longa, a heterotrophic euglenid, has captured the attention of researchers due to its relevance as a unicellular eukaryote. To gain a comprehensive understanding of the spatial distribution of its proteome, scientists employed subcellular spatial proteomics (SSP) using a label-free variant of LOPIT-DC. This method isolates organelles through differential centrifugation, allowing each protein to be categorized into a specific compartment based on its abundance profile across the resulting fractions. The researchers identified a total of 5,909 proteins, successfully assigning 16 distinct subcellular compartments to the proteins, including the plastid, pellicle, and peroxisomes. A notable achievement of this study is the high-confidence localization assignment to 2,955 proteins. This groundbreaking work provides a valuable proteomic dataset for resolving protein compartmentalization within Euglena longa, opening doors for evolutionary, biological, and functional investigations. The team is currently preparing manuscripts that delve into the metabolic functions of the plastid, the evolutionary origins of the pellicle, and the roles of the peroxisome. Researchers keen on utilizing this dataset prior to publication are encouraged to reach out to the researchers directly to prevent duplication of efforts and to promote collaborative utilization of this resource.",
  "summary": "Euglena longa is a heterotrophic model euglenid, of significant research interest as a unicellular eukaryote. To provide broad insight into the localisation of its proteome we used subcellular spatial proteomics (SSP), based on a label-free version of LOPIT-DC (Localisation of Organelle Proteins by Isotope Tagging after Differential Centrifugation), in which organelles are separated by…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}