2018
DOI: 10.1186/s40246-018-0148-4
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Large-scale discovery of previously undetected microRNAs specific to human liver

Abstract: MicroRNAs (miRNAs) are crucial regulators of gene expression in normal development and cellular homeostasis. While miRNA repositories contain thousands of unique sequences, they primarily contain molecules that are conserved across several tissues, largely excluding lineage and tissue-specific miRNAs. By analyzing small non-coding RNA sequencing data for abundance and secondary RNA structure, we discovered 103 miRNA candidates previously undescribed in liver tissue. While expression of some of these unannotate… Show more

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Cited by 16 publications
(14 citation statements)
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References 12 publications
(17 reference statements)
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“…Small RNA sequencing data from a cohort of 87 MPM samples processed by The Cancer Genome Atlas (TCGA) were obtained through the Genomic Data Commons (GDC) (, dbgap Project ID: 6208). All small RNA sequencing data that had been generated using the Illumina HiSeq2000 platform was processed according to a previously described pipeline [48,49]. Briefly, aligned sequencing reads (.bam files) retrieved from GDC were converted to unaligned reads (.fastq files) and trimmed based on Phred quality scores (≥20).…”
Section: Methodsmentioning
confidence: 99%
“…Small RNA sequencing data from a cohort of 87 MPM samples processed by The Cancer Genome Atlas (TCGA) were obtained through the Genomic Data Commons (GDC) (, dbgap Project ID: 6208). All small RNA sequencing data that had been generated using the Illumina HiSeq2000 platform was processed according to a previously described pipeline [48,49]. Briefly, aligned sequencing reads (.bam files) retrieved from GDC were converted to unaligned reads (.fastq files) and trimmed based on Phred quality scores (≥20).…”
Section: Methodsmentioning
confidence: 99%
“…MicroRNAs (miRNAs) are frequently disrupted in many cancer types and are suitable candidates to be used as biomarkers (5). Recent large-scale sequencing has allowed for the discovery of novel miRNAs, which may have greater clinical utility than their well-characterized and widely-expressed counterparts (6)(7)(8). The presence of these overlooked miRNAs is explained by the lack of stable expression across different tissues and low-coverage techniques used in early studies (6)(7)(8).…”
mentioning
confidence: 99%
“…Therefore, cell lineage-and tissue-specific miRNAs, especially the less abundant species, may not necessarily be included in current miR-Base annotations [55]. Re-analyses of high-throughput sequencing data of human tissues, cancers and cell lines have resulted in large scale discoveries of previously unannotated miRNAs that are expressed in a tissue-specific manner [55,[62][63][64].…”
Section: Identification Of Novel Microrna Sequencesmentioning
confidence: 99%
“…A variety of statistical tests can be applied to determine differential expression. For example, tissue-specificity of the miRNAs derived from a given organ site can be assessed by comparing expression patterns across tissue types, by using Principal Component Analysis (PCA) or nonlinear t-Distributed Stochastic Neighbor Embedding (t-SNE) [62,63]. Additionally, differential expression of miRNA between biological states, such as neoplastic versus nonmalignant tissue samples, can be compared using various standard parametric or nonparametric statistical tests (Figure 3) [63,64].…”
Section: Assessment Of Mirna Expression and Biological Function From mentioning
confidence: 99%