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1.
Commun Biol ; 6(1): 631, 2023 06 10.
Article in English | MEDLINE | ID: mdl-37301950

ABSTRACT

Mammalian brains have evolved in stages over a long history to acquire higher functions. Recently, several transposable element (TE) families have been shown to evolve into cis-regulatory elements of brain-specific genes. However, it is not fully understood how TEs are important for gene regulatory networks. Here, we performed a single-cell level analysis using public data of scATAC-seq to discover TE-derived cis-elements that are important for specific cell types. Our results suggest that DNA elements derived from TEs, MER130 and MamRep434, can function as transcription factor-binding sites based on their internal motifs for Neurod2 and Lhx2, respectively, especially in glutamatergic neuronal progenitors. Furthermore, MER130- and MamRep434-derived cis-elements were amplified in the ancestors of Amniota and Eutheria, respectively. These results suggest that the acquisition of cis-elements with TEs occurred in different stages during evolution and may contribute to the acquisition of different functions or morphologies in the brain.


Subject(s)
DNA Transposable Elements , Gene Regulatory Networks , Humans , Animals , DNA Transposable Elements/genetics , Vertebrates/genetics , Protein Binding , Mammals/genetics , Brain
2.
Methods Mol Biol ; 2509: 315-340, 2022.
Article in English | MEDLINE | ID: mdl-35796972

ABSTRACT

With a large number of annotated non-coding RNAs (ncRNAs), repetitive sequences are found to constitute functional components (termed as repetitive elements) in ncRNAs that perform specific biological functions. Bioinformatics analysis is a powerful tool for improving our understanding of the role of repetitive elements in ncRNAs. This chapter summarizes recent findings that reveal the role of repetitive elements in ncRNAs. Furthermore, relevant bioinformatics approaches are systematically reviewed, which promises to provide valuable resources for studying the functional impact of repetitive elements on ncRNAs.


Subject(s)
Computational Biology , RNA, Untranslated , RNA, Untranslated/genetics , Repetitive Sequences, Nucleic Acid/genetics
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