{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T03:03:20Z","timestamp":1785467000382,"version":"3.56.0"},"reference-count":41,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["iMeta"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Single\u2010cell sequencing has revolutionized our understanding of cellular heterogeneity by providing a micro\u2010level perspective in the past decade. While heterogeneity is fundamental to diverse biological communities, existing platforms are primarily designed for eukaryotic cells, leaving significant gaps in the study of other single biological entities, such as viruses and bacteria. Current methodologies for single\u2010entity sequencing remain limited by low throughput, inefficient lysis, and highly fragmented genomes. Here, we present the Generic Single\u2010Entity Sequencing (GSE\u2010Seq), a versatile and high\u2010throughput framework that overcomes key limitations in single\u2010entity sequencing through an integrated workflow. GSE\u2010Seq combines (1) one\u2010step generation of massive barcodes, (2) degradable hydrogel\u2010based in situ sample processing and whole genome amplification, (3) integrated in\u2010droplet library preparation, and (4) long\u2010read sequencing. We applied GSE\u2010Seq to profile viral communities from human fecal and marine sediment samples, generating thousands of high\u2010quality single\u2010entity genomes and revealing that most are novel. GSE\u2010Seq identified not only dsDNA and ssDNA viruses, but also hard\u2010to\u2010detect giant viruses and crAssphages. GSE\u2010Seq of bacterial genomes also revealed putative novel bacterial species, validating the versatility of this platform across different microbial kingdoms. Collectively, GSE\u2010Seq represents a robust framework that addresses persistent challenges in high\u2010throughput profiling for generic applications and holds immense promise for single\u2010cell deconvolution of diverse biological entities.<\/jats:p>","DOI":"10.1002\/imt2.70087","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T11:53:53Z","timestamp":1761825233000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["High\u2010throughput generic single\u2010entity sequencing using droplet microfluidics"],"prefix":"10.1002","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2635-6932","authenticated-orcid":false,"given":"Guoping","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Digestive Diseases and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences The Chinese 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