<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Penailillo R</submitter><funding>ANID/CONICYT— FONDECYT Regular</funding><funding>ANID/CONICYT-FONDECYT Postdoctorado</funding><funding>NICHD/NIH/DHHS</funding><funding>ANID/CONICYT-FONDECYT de Iniciación</funding><funding>ANID/CONICYT—FONDECYT de Iniciación</funding><funding>ANID/CONICYT- FONDECYT Regular</funding><funding>ANID Basal funding for Scientific and Technological Center of Excellence, IMPACT</funding><funding>ANID/CONICYT—FONDECYT Postdoctorado</funding><pagination>1253</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9219905</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(6)</volume><pubmed_abstract>Preeclampsia, a disorder with a heterogeneous physiopathology, can be attributed to maternal, fetal, and/or placental factors. Long non-coding RNAs (lncRNAs) refer to a class of non-coding RNAs, the essential regulators of biological processes; their differential expression has been associated with the pathogenesis of multiple diseases. The study aimed to identify lncRNAs, expressed in the placentas and plasma of patients who presented with preeclampsia, as potential putative biomarkers of the disease. In silico analysis was performed to determine lncRNAs differentially expressed in the placentas of patients with preeclampsia, using a previously published RNA-Seq dataset. Seven placentas and maternal plasma samples collected at delivery from preterm preeclamptic patients (≤37 gestational w</pubmed_abstract><journal>Biomedicines</journal><pubmed_title>Identification of LOC101927355 as a Novel Biomarker for Preeclampsia.</pubmed_title><pmcid>PMC9219905</pmcid><funding_grant_id>11190998</funding_grant_id><funding_grant_id>HHSN275201300006C</funding_grant_id><funding_grant_id>3160622</funding_grant_id><funding_grant_id>3140038</funding_grant_id><funding_grant_id>FB210024</funding_grant_id><funding_grant_id>11181249</funding_grant_id><funding_grant_id>1201851</funding_grant_id><pubmed_authors>Velasquez V</pubmed_authors><pubmed_authors>Valdebenito PP</pubmed_authors><pubmed_authors>Acuna-Gallardo S</pubmed_authors><pubmed_authors>Nardocci G</pubmed_authors><pubmed_authors>Illanes SE</pubmed_authors><pubmed_authors>Penailillo R</pubmed_authors><pubmed_authors>Sanchez M</pubmed_authors><pubmed_authors>Diaz P</pubmed_authors><pubmed_authors>Garcia F</pubmed_authors><pubmed_authors>Monteiro LJ</pubmed_authors><pubmed_authors>Correa P</pubmed_authors><pubmed_authors>Navarro C</pubmed_authors><pubmed_authors>Romero R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of LOC101927355 as a Novel Biomarker for Preeclampsia.</name><description>Preeclampsia, a disorder with a heterogeneous physiopathology, can be attributed to maternal, fetal, and/or placental factors. Long non-coding RNAs (lncRNAs) refer to a class of non-coding RNAs, the essential regulators of biological processes; their differential expression has been associated with the pathogenesis of multiple diseases. The study aimed to identify lncRNAs, expressed in the placentas and plasma of patients who presented with preeclampsia, as potential putative biomarkers of the disease. In silico analysis was performed to determine lncRNAs differentially expressed in the placentas of patients with preeclampsia, using a previously published RNA-Seq dataset. Seven placentas and maternal plasma samples collected at delivery from preterm preeclamptic patients (≤37 gestational w</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2026-07-14T10:20:48.284Z</modification><creation>2025-04-04T11:28:59.932Z</creation></dates><accession>S-EPMC9219905</accession><cross_references><pubmed>35740273</pubmed><doi>10.3390/biomedicines10061253</doi></cross_references></HashMap>