Linking RNA Processing and Function

Yao, Run-Wen; Liu, Chu-Xiao

doi:10.1101/sqb.2019.84.039495

Cited by 4 publications

(3 citation statements)

References 166 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the cohorts differed in RNA-sequencing protocols, with total RNA sequencing for FF_RP and FFPE_Bx versus poly(A)-enriched RNA libraries for TCGA_PRAD and DKFZ_RP. Total RNA sequencing enables analysis of all ncRNA families, whereas poly(A)-sequencing captures only RNA with a poly(A) tail, such as mRNA and some long ncRNA families [ 24 ]. The DKFZ_RP cohort also allowed us to characterize fusions from the perspective of early-onset PCa and to assess the prognostic potential of gene fusions in an early-onset PCa cohort.…”

Section: Methodsmentioning

confidence: 99%

Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer

et al. 2023

View full text Add to dashboard Cite

Background Prostate cancer (PCa) is one of the most prevalent cancers worldwide. The clinical manifestations and molecular characteristics of PCa are highly variable. Aggressive types require radical treatment, whereas indolent ones may be suitable for active surveillance or organ-preserving focal therapies. Patient stratification by clinical or pathological risk categories still lacks sufficient precision. Incorporating molecular biomarkers, such as transcriptome-wide expression signatures, improves patient stratification but so far excludes chromosomal rearrangements. In this study, we investigated gene fusions in PCa, characterized potential novel candidates, and explored their role as prognostic markers for PCa progression. Methods We analyzed 630 patients in four cohorts with varying traits regarding sequencing protocols, sample conservation, and PCa risk group. The datasets included transcriptome-wide expression and matched clinical follow-up data to detect and characterize gene fusions in PCa. With the fusion calling software Arriba, we computationally predicted gene fusions. Following detection, we annotated the gene fusions using published databases for gene fusions in cancer. To relate the occurrence of gene fusions to Gleason Grading Groups and disease prognosis, we performed survival analyses using the Kaplan–Meier estimator, log-rank test, and Cox regression. Results Our analyses identified two potential novel gene fusions, MBTTPS2,L0XNC01::SMS and AMACR::AMACR. These fusions were detected in all four studied cohorts, providing compelling evidence for the validity of these fusions and their relevance in PCa. We also found that the number of gene fusions detected in a patient sample was significantly associated with the time to biochemical recurrence in two of the four cohorts (log-rank test, p-value < 0.05 for both cohorts). This was also confirmed after adjusting the prognostic model for Gleason Grading Groups (Cox regression, p-values < 0.05). Conclusions Our gene fusion characterization workflow revealed two potential novel fusions specific for PCa. We found evidence that the number of gene fusions was associated with the prognosis of PCa. However, as the quantitative correlations were only moderately strong, further validation and assessment of clinical value is required before potential application.

show abstract

Section: Methodsmentioning

confidence: 99%

Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Another significant difference is that mRNAs in prokaryotes tend to be polycistronic mRNAs; by contrast, eukaryotic mRNAs are usually monocistronic mRNAs, Promoter: DNA region that defines where the transcription of a gene by although this is not always the case [21,22]. Importantly, transcription and translation often occur simultaneously in prokaryotes, but in eukaryotes the RNA is transcribed in the nucleus and translated in the cytoplasm [23].…”

Section: Trends Trends In In Genetics Geneticsmentioning

confidence: 99%

Evolution of Diverse Strategies for Promoter Regulation

2021

View full text Add to dashboard Cite

“…Compelling evidence has illustrated that during the pathogenesis of IDD, long noncoding RNAs (lncRNAs) are pivotal molecules by functioning in nucleus pulposus cells (NPCs) [ 8 , 9 ]. LncRNAs are long RNA transcripts with size over 200 nucleotides (nt) and incapable of encoding proteins [ 10 , 11 ]. However, the amounts of researches studying the role of lncRNAs in IDD remain rare.…”

Section: Introductionmentioning

confidence: 99%

LncRNA OIP5-AS1 accelerates intervertebral disc degeneration by targeting miR-25-3p

Che

Xueqin

Zhang³

2021

Bioengineered

View full text Add to dashboard Cite

It is obvious that epigenetic processes influence the evolution of intervertebral disc degeneration (IDD). However, its molecular mechanisms are poorly understood. Long noncoding RNAs (lncRNAs) have been validated to exert vital roles in IDD. Therefore, we tested the hypothesis that OIP5-AS1, a potential regulator of IDD, modulates IDD progression. RT-PCR was utilized to detect levels of OIP5-AS1, miR-25-3p, Collagen II and Aggrecan in IDD tissues and nucleus pulposus cells (NPCs). Immunofluorescence assay measured Collagen II expression. CCK-8, EdU, and flow cytometry estimated the levels of proliferation and apoptosis. Proteins were assessed via Western blot. The binding affinity of OIP5-AS1 with miR-25-3p was investigated by luciferase reporter assay. Enzyme-linked immunosorbent assay (ELISA) analyzed the levels of inflammatory factors. OIP5-AS1 was high expressed in IDD tissues and its expression gradually promoted with the increasing of Pfirrmann scores. The cell morphology of NPCs changed into spindle-shaped, and Collagen II expression was low. After OIP5-AS1 was silenced, cell proliferation was boosted whereas both apoptosis and extracellular matrix (ECM) degradation were restrained. In LPS-activated NPCs, OIP5-AS1 depletion also suppressed inflammation response. Further, miR-25-3p was a target of OIP5-AS1. The effects of OIP5-AS1 silence on proliferation, apoptosis, and ECM degradation were reversed upon miR-25-3p downregulation. Moreover, the inhibitory impact of OIP5-AS1 knockdown on the inflammation of LPS-treated NPCs was rescued with miR-25-3p inference. In general, lncRNA OIP5-AS1 exerted its effects in IDD by targeting miR-25-3p, implying the usage of OIP5-AS1/miR-25-3p as a novel regulatory axis for the molecular targets of IDD therapy.

show abstract

Linking RNA Processing and Function

Cited by 4 publications

References 166 publications

Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer

Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer

Evolution of Diverse Strategies for Promoter Regulation

LncRNA OIP5-AS1 accelerates intervertebral disc degeneration by targeting miR-25-3p

Contact Info

Product

Resources

About