<HashMap><database>biostudies-literature</database><scores/><additional><submitter>He W</submitter><funding>General Program of National Natural Science Foundation of China</funding><funding>Natural science foundation of Science and Technology Commission of Shanghai Municipality</funding><funding>National Natural Science Foundation of China</funding><funding>National Key Research and Development Program of China</funding><pagination>384</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12606830</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(1)</volume><pubmed_abstract>High-throughput sequencing with chemical labeling enables robust, transcriptome-wide detection of RNA modifications at single-nucleotide resolution. However, these methods typically require substantial RNA amounts due to harsh treatments. We introduce Uli-epic, an innovative library construction strategy that enables profiling epitranscriptomic modifications using 100 pg to 1 ng of RNA. Utilizing Uli-epic BID-seq, we investigate pseudouridine (Ψ) sites in neural stem cells and sperm RNA from wild-type and fetal growth restriction mice, using only 500 pg of rRNA-depleted RNA. Uli-epic GLORI quantifies m&lt;sup>6&lt;/sup>A in sperm and neural stem cells from wild-type and fetal growth restriction mice, using 10 ng of rRNA-depleted RNA.</pubmed_abstract><journal>Genome biology</journal><pubmed_title>Uli-epic: profiling RNA modifications from ultra-low input samples.</pubmed_title><pmcid>PMC12606830</pmcid><funding_grant_id>21ZR1480300</funding_grant_id><funding_grant_id>82230054</funding_grant_id><funding_grant_id>32471340</funding_grant_id><funding_grant_id>2021YFA1100400</funding_grant_id><funding_grant_id>82271723</funding_grant_id><pubmed_authors>Peng Y</pubmed_authors><pubmed_authors>He W</pubmed_authors><pubmed_authors>Jiang X</pubmed_authors><pubmed_authors>Chen W</pubmed_authors><pubmed_authors>Xu C</pubmed_authors><pubmed_authors>Chang S</pubmed_authors><pubmed_authors>Zhu W</pubmed_authors><pubmed_authors>Hu L</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Kang J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Uli-epic: profiling RNA modifications from ultra-low input samples.</name><description>High-throughput sequencing with chemical labeling enables robust, transcriptome-wide detection of RNA modifications at single-nucleotide resolution. However, these methods typically require substantial RNA amounts due to harsh treatments. We introduce Uli-epic, an innovative library construction strategy that enables profiling epitranscriptomic modifications using 100 pg to 1 ng of RNA. Utilizing Uli-epic BID-seq, we investigate pseudouridine (Ψ) sites in neural stem cells and sperm RNA from wild-type and fetal growth restriction mice, using only 500 pg of rRNA-depleted RNA. Uli-epic GLORI quantifies m&lt;sup>6&lt;/sup>A in sperm and neural stem cells from wild-type and fetal growth restriction mice, using 10 ng of rRNA-depleted RNA.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-05T13:40:22.749Z</modification><creation>2026-05-17T03:12:26.834Z</creation></dates><accession>S-EPMC12606830</accession><cross_references><pubmed>41219823</pubmed><doi>10.1186/s13059-025-03857-3</doi></cross_references></HashMap>