{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T14:09:38Z","timestamp":1785247778077,"version":"3.55.0"},"reference-count":37,"publisher":"Wiley","issue":"31","license":[{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Angew Chem Int Ed"],"published-print":{"date-parts":[[2026,7,27]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Elucidating tissue architecture and function necessitates lipid analysis that is both spatially comprehensive and achieved at high resolution while maintaining spatial context. Conventional mass spectrometry imaging (MSI) techniques typically perform MS\/MS analysis sequentially for individual lipids, creating a significant trade\u2010off between spatial resolution and analytical depth. To circumvent this limitation, we introduce a deconvolution\u2010based structure\u2010specific spatial lipidomics (DeconS\n                    <jats:sup>2<\/jats:sup>\n                    L) method for coupling with per\u2010pixel and broadband MS\/MS sampling. DeconS\n                    <jats:sup>2<\/jats:sup>\n                    L capitalizes on the spatial and compositional heterogeneity inherent to all biological tissues for large\u2010scale lipid annotation and lipidome imaging. To facilitate rapid imaging throughput and improved sample usage, lipids per pixel are co\u2010fragmented to generate convolved MS\/MS spectra. DeconS\n                    <jats:sup>2<\/jats:sup>\n                    L analysis of \u223c4000 pixels in a mouse cerebellum tissue yielded 100 annotated lipids and allowed multiplexed MS\/MS imaging of the tissue lipidome. Furthermore, applying DeconS\n                    <jats:sup>2<\/jats:sup>\n                    L to human hepatocellular carcinoma (HCC) tissues effectively resolved isobaric interferences that obscured tumor margins in conventional imaging. It successfully revealed the tumor\u2010specific enrichment of odd\u2010chain lipid PC 33:1 and distinct spatial heterogeneity in triglyceride saturation, correlating with metabolic reprogramming in HCC. DeconS\n                    <jats:sup>2<\/jats:sup>\n                    L represents a versatile methodology that effectively integrates molecular annotation with spatial lipidomics, demonstrating significant potential for in\u2010depth biomarker discovery in clinical pathology.\n                  <\/jats:p>","DOI":"10.1002\/anie.4721868","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T12:53:44Z","timestamp":1779713624000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tissue Heterogeneity\u2010Driven Parallel Acquisition for High\u2010Coverage MS\/MS Imaging of Lipids"],"prefix":"10.1002","volume":"65","author":[{"given":"Dan","family":"Li","sequence":"first","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aolei","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shenghui","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuoning","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7932-0933","authenticated-orcid":false,"given":"Zheng","family":"Ouyang","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1205-6485","authenticated-orcid":false,"given":"Xiaoxiao","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University  Beijing 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