Cancer-related molecular mechanisms research

The paper shows that Dicer processes antisense lncRNAs into small RNAs in RNAi-capable yeast, with implications for the evolution of antisense transcriptomes.

The paper develops a method to distinguish experimentally validated lncRNAs from high-throughput lncRNAs and mRNAs using Support Vector Machines, achieving high accuracy in human and mouse data.

This study shows that NORAD's interaction with PUMILIO, not RBMX, is essential for maintaining genomic stability in mammals.

lncDIFF detects differentially expressed long non-coding RNAs with higher power and lower false discovery rate compared to existing methods.

The paper integrates gene expression across 32 cancer types to identify 16 lncRNA modules, revealing four functional themes and potential roles in tumour progression.

The paper develops a graph analysis method combining co-expression and ChIA-PET data to identify lncRNA-mediated regulatory modules in K562 cells, finding enriched disease associations and functional roles for lncRNAs.

RBPSponge identifies lncRNAs that act as sponges for RBPs by analyzing RBP binding sites and CLIP peaks on lncRNAs.

The paper shows non-linear sequence similarity between Xist and Rsx repeat domains, suggesting shared functional roles through similar protein-binding motif enrichments.

The paper identifies and functionally characterizes long non-coding RNAs in C. elegans using transcriptome analysis and CRISPR/Cas9 mutagenesis.

This study shows that loss of the lncRNA Norad leads to PUMILIO hyperactivity, causing genomic instability and mitochondrial dysfunction, resulting in premature aging in mice.

The paper identifies TE fragments associated with lncRNA nuclear enrichment and shows their role in subcellular localization.

The paper identifies lnc-NR2F1 as a pro-neurogenic lncRNA mutated in neurodevelopmental disorders through genetic and functional studies.

This study characterizes long non-coding RNAs (lncRNAs) by analyzing feature relationships and introduces LGC, an algorithm that accurately identifies lncRNAs across species without prior knowledge.

The paper develops a prognostic signature for lower-grade gliomas using lncRNA expression, showing it outperforms existing methods and identifies patients needing aggressive therapy.

The paper investigates the relationship between spliced long noncoding RNAs (lncRNAs) and enhancer activity, finding that lncRNA production enhances enhancer function through conserved splicing signals.

This study quantifies miR-34a and GAS5 expression in Egyptian cancer patients and correlates them with clinicopathological data, finding GAS5 under-expression and miR-34a variability across tumor types.

The paper introduces UPA-Seq, a method to predict functional lncRNAs by measuring their differential sensitivity to UV crosslinking, finding that lncRNAs with greater UV sensitivity associate more with PrLD-containing proteins.

The paper identifies focal copy number alterations in lncRNAs across cancer cell lines, suggesting potential oncogenic or tumor suppressive roles.

The paper identifies subtype-specific lncRNA-mediated sponge interactions in breast cancer and shows their prognostic significance.

The paper characterizes canine lncRNAs across 26 tissues, identifies tissue-specific expression patterns, and links them to transposable elements and conserved human lncRNAs.

This study constructs mRNA, miRNA, lncRNA, and TF regulatory networks in prostate cancer to identify key genes and pathways involved in the disease.

This paper investigates how antisense long non-coding RNAs (asXUTs) regulate gene expression in fission yeast by stabilizing Exo2-sensitive asXUTs, leading to transcriptional attenuation of paired-sense genes.

The paper identifies 5775 novel lncRNAs in fission yeast and characterizes their regulation by RNA-processing pathways.

The lncRNA Cyrano drives multiple-turnover degradation of miR-7 in mouse brain, which protects the circRNA Cdr1as from miR-7-dependent, partly miR-671-sliced destruction.

The paper identifies and characterizes moonlighting long non-coding RNAs using a statistical algorithm integrating protein interactome and functional data, revealing distinct sequence and localization features.

The paper identifies OIP5-AS1 as overexpressed in undifferentiated oral tumors and shows it modulates miRNAs and downstream targets, potentially maintaining cancer stemness through stemness-associated transcription factors.

The paper identifies a consensus set of ruminant lncRNAs by combining cross-species RNA-seq data and positional conservation, showing that stochastic sampling can be mitigated through this approach.

The paper identifies Paupar, a lncRNA that interacts with KAP1 to regulate chromatin structure and neurogenesis in the subventricular zone.

MechRNA predicts lncRNA mechanisms by integrating RNA-RNA and RNA-protein interaction predictions to identify potential targets and mechanisms for cancer-related lncRNAs.