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2.
Nucleus ; 14(1): 2274655, 2023 12.
Article in English | MEDLINE | ID: mdl-37906621

ABSTRACT

The nucleolus, the largest subcompartment of the nucleus, stands out from the nucleoplasm due to its exceptionally high local RNA and low DNA concentrations. Within this central hub of nuclear RNA metabolism, ribosome biogenesis is the most prominent ribonucleoprotein (RNP) biogenesis process, critically determining the structure and function of the nucleolus. However, recent studies have shed light on other roles of the nucleolus, exploring the interplay with various noncoding RNAs that are not directly involved in ribosome synthesis. This review focuses on this intriguing topic and summarizes the techniques to study and the latest findings on nucleolar long noncoding RNAs (lncRNAs) as well as microRNAs (miRNAs) in the context of nucleolus biology beyond ribosome biogenesis. We particularly focus on the multifaceted roles of the nucleolus and noncoding RNAs in physiology and tumor biology.


Subject(s)
Neoplasms , RNA, Long Noncoding , Humans , Cell Nucleolus/genetics , Cell Nucleolus/metabolism , Cell Nucleus/metabolism , Ribosomes/genetics , Ribosomes/metabolism , Neoplasms/genetics , Neoplasms/metabolism , Biology
3.
Bioinform Adv ; 2(1): vbac009, 2022.
Article in English | MEDLINE | ID: mdl-36699395

ABSTRACT

Summary: In the era of next generation sequencing and beyond, the Sanger technique is still widely used for variant verification of inconclusive or ambiguous high-throughput sequencing results or as a low-cost molecular genetical analysis tool for single targets in many fields of study. Many analysis steps need time-consuming manual intervention. Therefore, we present here a pipeline-capable high-throughput solution with an optional Shiny web interface, that provides a binary mutation decision of hotspots together with plotted chromatograms including annotations via flat files. Availability and implementation: SangeR is freely available at https://github.com/Neuropathology-Giessen/SangeR and https://hub.docker.com/repository/docker/kaischmid/sange_r. Contact: Kai.Schmid@patho.med.uni-giessen.de or Daniel.Amsel@patho.med.uni-giessen.de. Supplementary information: Supplementary data are available at Bioinformatics online.

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