<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yasui T</submitter><funding>Moonshot Research and Development Program</funding><funding>Japan Agency for Medical Research and Development</funding><funding>AIP Network Laboratory</funding><funding>Japan Society for the Promotion of Science</funding><funding>New Energy and Industrial Technology Development Organization</funding><pagination>17145-17153</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11525924</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>96(43)</volume><pubmed_abstract>Multiple microRNAs encapsulated in extracellular vesicles (EVs) including exosomes, unique subtypes of EVs, differ in healthy and cancer groups of people, and they represent a warning sign for various cancer scenarios. Since all EVs in blood cannot be transferred from donor to recipient cells during a single blood circulation, kidney filtration could pass some untransferred EVs from blood to urine. Previously, we reported on the ability of zinc oxide nanowires to capture EVs based on surface charge and hydrogen bonding; these nanowires extracted massive numbers of microRNAs in urine, seeking cancer-related microRNAs through statistical analysis. Here, we report on the scalability of the nanowire performance capability to comprehensively capture EVs, including exosomes, in urine, extract mi</pubmed_abstract><journal>Analytical chemistry</journal><pubmed_title>Early Cancer Detection via Multi-microRNA Profiling of Urinary Exosomes Captured by Nanowires.</pubmed_title><pmcid>PMC11525924</pmcid><funding_grant_id>22zf0127004s0902</funding_grant_id><funding_grant_id>JPNP20004</funding_grant_id><funding_grant_id>JP21he2302007</funding_grant_id><funding_grant_id>JPMJCR23U1</funding_grant_id><funding_grant_id>24H00792</funding_grant_id><funding_grant_id>JP22zf0127009</funding_grant_id><pubmed_authors>Ichikawa Y</pubmed_authors><pubmed_authors>Iida M</pubmed_authors><pubmed_authors>Natsume A</pubmed_authors><pubmed_authors>Yanagida T</pubmed_authors><pubmed_authors>Kitano Y</pubmed_authors><pubmed_authors>Shimada T</pubmed_authors><pubmed_authors>Yasui T</pubmed_authors><pubmed_authors>Kawai T</pubmed_authors><pubmed_authors>Ochiya T</pubmed_authors><pubmed_authors>Aoki K</pubmed_authors><pubmed_authors>Takayama K</pubmed_authors><pubmed_authors>Washio T</pubmed_authors><pubmed_authors>Baba Y</pubmed_authors><pubmed_authors>Mizunuma M</pubmed_authors><pubmed_authors>Chattrairat K</pubmed_authors><pubmed_authors>Naganawa T</pubmed_authors><pubmed_authors>Nagashima K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Early Cancer Detection via Multi-microRNA Profiling of Urinary Exosomes Captured by Nanowires.</name><description>Multiple microRNAs encapsulated in extracellular vesicles (EVs) including exosomes, unique subtypes of EVs, differ in healthy and cancer groups of people, and they represent a warning sign for various cancer scenarios. Since all EVs in blood cannot be transferred from donor to recipient cells during a single blood circulation, kidney filtration could pass some untransferred EVs from blood to urine. Previously, we reported on the ability of zinc oxide nanowires to capture EVs based on surface charge and hydrogen bonding; these nanowires extracted massive numbers of microRNAs in urine, seeking cancer-related microRNAs through statistical analysis. Here, we report on the scalability of the nanowire performance capability to comprehensively capture EVs, including exosomes, in urine, extract mi</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2025-04-26T17:10:45.937Z</modification><creation>2025-04-06T15:23:55.058Z</creation></dates><accession>S-EPMC11525924</accession><cross_references><pubmed>39422334</pubmed><doi>10.1021/acs.analchem.4c02488</doi></cross_references></HashMap>