{"ok":true,"nota":{"id":"6f27ca3182fa396e","slug":"nuevo-metodo-informatico-identifica-el-24-de-las-moleculas-de-tejidos--6f27ca","titulo":"Nuevo método informático identifica el 24% de las moléculas de tejidos, cuando antes solo se reconocía el 1%","resumen":"Desarrollaron SpacePath, un programa que analiza imágenes de espectrometría de masas de tejidos y agrupa moléculas que antes quedaban sin clasificar. Compararon su cobertura con los métodos tradicionales y lo probaron con cuatro conjuntos de datos.","fuente":"biorxiv","fuenteNombre":"bioRxiv · preprints","color":"#be2628","autor":"Galvis, J., Moreau, M., Lillo, S., Bomont, D., Ledoux, L., Zirem, Y., Salzet, M., Fournier, I., Desbenoit, N., Daubon, T","url":"https://www.biorxiv.org/content/10.64898/2026.10.16.759546v1?rss=1","imagen":"/hoy/portada/6f27ca3182fa396e","tema":"ciencia","subtemas":["metabolomica","lipidomica","espectrometria de masas","bioinformatica","biomarcadores"],"entidades":["bioRxiv"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-22T00:00:00.000Z","indexTs":"2026-10-22T21:54:18.823Z","hash":"7dc13eb0a091f011d668f90cc07733f39c887c567ca86d37536bd7303dffa5ae","tsa":{"time":"Oct 22 21:55:38 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Gran parte de las moléculas que aparecen en un tejido quedaban sin nombre ni función conocida, porque los mapas existentes cubrían muy poco. Con esta herramienta, el número de moléculas que pueden ubicarse en un contexto biológico crece de forma notable. Esto puede acelerar la búsqueda de marcadores de enfermedades que hoy pasan desapercibidos. Es una herramienta para investigadores, no un resultado clínico directo.","quienFirma":"bioRxiv · preprints","confianza":"preprint","consulta":null},"sello":{"hash":"7dc13eb0a091f011d668f90cc07733f39c887c567ca86d37536bd7303dffa5ae","sello":"2a3934c3f085470708503b6d604023e9e9d6d2832e9cdaec9f7c2b5505b4b481","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575837,"aleatorio":"63461f681b6ee92f4c36de6febc3c3c4fe7c3906de725dea83aeab9ec81b1467","tiempo":"2026-10-22T21:55:30.000Z"},"nist":null,"noAntes":"2026-10-22T21:55:30.000Z"},"verificacion":{"drand":true,"nist":null},"tsa":{"time":"Oct 22 21:55:38 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"SpacePath enables pathway and molecular-family analysis beyond annotation ambiguity in spatial metabolomics and lipidomics","descripcion":"Mass spectrometry imaging (MSI) maps metabolites and lipids in tissue with spatial resolution, but molecular identity remains partly resolved: single ions match multiple candidate compounds, and most detected metabolites and lipids fall outside canonical biochemical pathways. We developed SpacePath, a computational framework that retains ion-to-compound ambiguity, scores canonical pathways across tissue locations, and groups assignments that were unmapped to pathways into de novo molecular families by chemical similarity. Pathway mappings covered on average only 1% of molecular assignments, whereas the combined SpacePath representation covered 24% of pooled assignments. Benchmarking on four ","pubDate":"2026-10-22","url":"https://www.biorxiv.org/content/10.64898/2026.10.16.759546v1?rss=1"},"indexado":"2026-10-22T21:54:18.823Z"}}