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Spatial single-cell omics in liver studies: cautions on metanarrative pitfalls

gutjnl · 2026-07-08 · canonical JSON source

2 visible annotations · policy: published · automated confidence ≥ 75.00%

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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).