Circular RNAs function as ceRNAs to regulate and control human cancer progression
Circular RNAs (circRNAs) are connected at the 3′ and 5′ ends by exon or intron
cyclization, forming a complete ring structure. circRNA is more stable and conservative than …
cyclization, forming a complete ring structure. circRNA is more stable and conservative than …
[PDF][PDF] A simple guide to de novo transcriptome assembly and annotation
A transcriptome constructed from short-read RNA sequencing (RNA-seq) is an easily
attainable proxy catalog of protein-coding genes when genome assembly is unnecessary …
attainable proxy catalog of protein-coding genes when genome assembly is unnecessary …
Systematic comparison and assessment of RNA-seq procedures for gene expression quantitative analysis
RNA-seq is currently considered the most powerful, robust and adaptable technique for
measuring gene expression and transcription activation at genome-wide level. As the …
measuring gene expression and transcription activation at genome-wide level. As the …
RNA‐Seq methods for transcriptome analysis
R Hrdlickova, M Toloue, B Tian - Wiley Interdisciplinary …, 2017 - Wiley Online Library
Deep sequencing has been revolutionizing biology and medicine in recent years, providing
single base‐level precision for our understanding of nucleic acid sequences in high …
single base‐level precision for our understanding of nucleic acid sequences in high …
[HTML][HTML] miRNA targets: from prediction tools to experimental validation
G Riolo, S Cantara, C Marzocchi, C Ricci - Methods and protocols, 2020 - mdpi.com
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals
and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs …
and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs …
RNA-based diagnostic and therapeutic strategies for cardiovascular disease
D Lu, T Thum - Nature Reviews Cardiology, 2019 - nature.com
Cardiovascular diseases are the leading cause of death globally and are associated with
increasing financial expenditure. With the availability of next-generation sequencing …
increasing financial expenditure. With the availability of next-generation sequencing …
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
Background The analysis of single-cell RNA sequencing (scRNAseq) data plays an
important role in understanding the intrinsic and extrinsic cellular processes in biological …
important role in understanding the intrinsic and extrinsic cellular processes in biological …
Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes
Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of
mediating T cell-based tumor rejection still face important challenges. Recent studies …
mediating T cell-based tumor rejection still face important challenges. Recent studies …
Using genomic data to infer historic population dynamics of nonmodel organisms
Genome sequence data are now being routinely obtained from many nonmodel organisms.
These data contain a wealth of information about the demographic history of the populations …
These data contain a wealth of information about the demographic history of the populations …
Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine
Y Li, L Ma, D Wu, G Chen - Briefings in Bioinformatics, 2021 - academic.oup.com
Multi-omics allows the systematic understanding of the information flow across different
omics layers, while single omics can mainly reflect one aspect of the biological system. The …
omics layers, while single omics can mainly reflect one aspect of the biological system. The …