<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>lncRNA on Wonderland of Deisy Gysi</title><link>https://deisygysi.github.io/categories/lncrna/</link><description>Recent content in lncRNA on Wonderland of Deisy Gysi</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Wed, 22 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://deisygysi.github.io/categories/lncrna/index.xml" rel="self" type="application/rss+xml"/><item><title>Reannotation of Public Transcriptomic Data Identifies Candidate lncRNAs and Putative Regulatory Networks in Rhabdomyosarcoma</title><link>https://deisygysi.github.io/publications/rhabdolncrna/</link><pubDate>Wed, 22 Jul 2026 00:00:00 +0000</pubDate><guid>https://deisygysi.github.io/publications/rhabdolncrna/</guid><description>Abstract Background/Objectives: Rhabdomyosarcoma (RMS), the most common pediatric soft tissue sarcoma, includes two main subtypes, embryonal (eRMS) and alveolar (aRMS), each with distinct molecular and clinical characteristics. Although cellular processes underlying RMS and differences between PAX3-FOXO1 fusion-positive and fusion-negative tumors are well known, the contribution of long noncoding RNAs (lncRNAs) remains poorly understood. Methods: Here, we reannotated publicly available microarray datasets to comprehensively profile lncRNA expression and reconstruct lncRNA-miRNA-mRNA regulatory networks in RMS.</description></item></channel></rss>