{
  "abstract": "We read with great interest the review by Suo et al published in Gut recently, ‘Spatial single-cell omics: new insights into liver diseases’.1 This very well-written and comprehensive review highlights that the current liver pathophysiological and translational research is reshaped by single-cell and spatial multiomics approaches. Beyond this enthusiasm, we invite further considerations about the potential ‘metanarratives’, which originally describe overarching narratives beyond small-scale events but here in scientific aspects, refer to the tendency for high-throughput, visually compelling and computationally integrated data sets to be marshalled into stories that appear universally valid. Particularly, we want to propose several aspects of potential metanarrative biases (figure 1).",
  "authors": [
    {
      "affiliations": [
        "Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, BE, Germany"
      ],
      "name": "Hanyang Liu"
    },
    {
      "affiliations": [
        "Stanford Cancer Institute, Stanford University, Stanford, California, USA"
      ],
      "name": "Yi Bei"
    },
    {
      "affiliations": [
        "Department of Hematology, Oncology and Tumour Immunology, Charité - Universitätsmedizin Berlin, Berlin, BE, Germany"
      ],
      "name": "Zhiting Shao"
    },
    {
      "affiliations": [
        "Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, BE, Germany"
      ],
      "name": "Hilmar Berger"
    },
    {
      "affiliations": [
        "Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, BE, Germany"
      ],
      "name": "Adrien Guillot"
    }
  ],
  "title": "Spatial single-cell omics in liver studies: cautions on metanarrative pitfalls",
  "uid": "dd2fa403-241b-5010-ba7f-f0c667ced117"
}