Differential Expression Analysis of Long Noncoding RNAs

Li, Qian; Wang, Xuefeng

doi:10.1007/978-1-0716-1307-8_11

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Despite mutational burden being a critical driver of carcinogenesis, cancer can arise from a multitude of epigenetic processes that fine-tune wild-type genomic loci. lncRNAs have been identified for their differential expression patterns in cancerous tissue, which is directly correlated to cellular pathways and processes that heavily promote central metastatic mechanisms [ 11 ]. Additionally, a single lncRNA can have vastly diverse functions in different cancer types.…”

Section: Resources For Studying Lncrnasmentioning

confidence: 99%

Interactome of Long Non-Coding RNAs: Transcriptomic Expression Patterns and Shaping Cancer Cell Phenotypes

DeSouza

Quaranto

Carnazza

et al. 2023

IJMS

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RNA biology has gained extensive recognition in the last two decades due to the identification of novel transcriptomic elements and molecular functions. Cancer arises, in part, due to the accumulation of mutations that greatly contribute to genomic instability. However, the identification of differential gene expression patterns of wild-type loci has exceeded the boundaries of mutational study and has significantly contributed to the identification of molecular mechanisms that drive carcinogenic transformation. Non-coding RNA molecules have provided a novel avenue of exploration, providing additional routes for evaluating genomic and epigenomic regulation. Of particular focus, long non-coding RNA molecule expression has been demonstrated to govern and direct cellular activity, thus evidencing a correlation between aberrant long non-coding RNA expression and the pathological transformation of cells. lncRNA classification, structure, function, and therapeutic utilization have expanded cancer studies and molecular targeting, and understanding the lncRNA interactome aids in defining the unique transcriptomic signatures of cancer cell phenotypes.

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Section: Resources For Studying Lncrnasmentioning

confidence: 99%

Interactome of Long Non-Coding RNAs: Transcriptomic Expression Patterns and Shaping Cancer Cell Phenotypes

DeSouza

Quaranto

Carnazza

et al. 2023

IJMS

View full text Add to dashboard Cite

show abstract

“…Typically, de novo assembly is more suitable while working with novel organisms, whereas the mapping assembly approach is preferable in the presence of a reference genome ( Choudhuri, 2014 ). Lastly, differential expression analyses between control and test groups can be performed by DE analysis pipelines such as DESeq2 ( Li and Wang, 2021 ).…”

Section: Noncoding Rnasmentioning

confidence: 99%

Noncoding RNAs in apoptosis: identification and function

2021

Turk J Biol

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Apoptosis is a vital cellular process that is critical for the maintenance of homeostasis in health and disease. The derailment of apoptotic mechanisms has severe consequences such as abnormal development, cancer, and neurodegenerative diseases. Thus, there exist complex regulatory mechanisms in eukaryotes to preserve the balance between cell growth and cell death. Initially, protein-coding genes were prioritized in the search for such regulatory macromolecules involved in the regulation of apoptosis. However, recent genome annotations and transcriptomics studies have uncovered a plethora of regulatory noncoding RNAs that have the ability to modulate not only apoptosis but also many other biochemical processes in eukaryotes. In this review article, we will cover a brief summary of apoptosis and detection methods followed by an extensive discussion on microRNAs, circular RNAs, and long noncoding RNAs in apoptosis.

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Differential Expression Analysis of Long Noncoding RNAs

Cited by 2 publications

References 20 publications

Interactome of Long Non-Coding RNAs: Transcriptomic Expression Patterns and Shaping Cancer Cell Phenotypes

Interactome of Long Non-Coding RNAs: Transcriptomic Expression Patterns and Shaping Cancer Cell Phenotypes

Noncoding RNAs in apoptosis: identification and function

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