The tRNA derived fragments (tRFs) expression profiles in human aortic smooth muscle cells (HASMCs)
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ABSTRACT:
PROVIDER: PRJNA877112 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21431762.fastq.gz | Fastqsanger.gz | |||
| SRR21431763.fastq.gz | Fastqsanger.gz | |||
| SRR21431764.fastq.gz | Fastqsanger.gz | |||
| SRR21431765.fastq.gz | Fastqsanger.gz | |||
| SRR21431766.fastq.gz | Fastqsanger.gz |
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Project description:To explore the potential involvement of tRNA derived fragments (tRFs) in the human aortic vascular smooth muscle cells (HASMCs), we conducted tRFs profiling in three pairs of differentiated HASMCs (treated with PBS) and dedifferentiated HASMCs (treated with PDGF-BB 50 ng/ml) by microarray. Our results showed that tRFs were aberrantly expressed in dedifferentiated HASMCs compared with differentiated HASMCs and provided potential targets for novel insights into VSMC differentiation or vascular remodeling diseases.
2023-01-31 | GSE212737 | GEO
Project description:tRNA fragments (tRFs) populations analysis in mutants affecting tRNAs processing and tRNA methylation
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Project description:The human genome encodes hundreds of tRNA genes but their individual contribution to the tRNA pool is not fully understood. Deep sequencing of tRNA transcripts (tRNA-Seq) can estimate tRNA abundance at single gene resolution, but tRNA structures and post-transcriptional modifications impair these analyses. Here we present a bioinformatics strategy to investigate differential tRNA gene expression and use it to compare tRNA-Seq datasets from cultured human cells and human brain. We find that sequencing caveats affect quantitation of only a subset of human tRNA genes. Unexpectedly, we detect several cases where the differences in tRNA expression among samples do not involve variations at the level of isoacceptor tRNA sets (tRNAs charged with the same amino acid but using different anticodons); but rather among tRNA genes within the same isodecoder set (tRNAs having the same anticodon sequence). Because isodecoder tRNAs are functionally equal in terms of genetic translation, their differential expression may be related to non-canonical tRNA functions. We show that several instances of differential tRNA gene expression result in changes in the abundance of tRNA-derived fragments (tRFs) but not of mature tRNAs. Examples of differentially expressed tRFs include: PIWI-associated RNAs, tRFs present in tissue samples but not in cells cultured in vitro, and somatic tissue-specific tRFs. Our data support that differential expression of tRNA genes regulate non-canonical tRNA functions performed by tRFs.
2019-04-17 | GSE114904 | GEO
Project description:tRNA related fragments(tRF) and tRNA halves(tiRNA) are novel class of short non-coding RNA derived from tRNAs. Using RNA sequencing, we evaluated the tRFs/tiRNAs expression profiles in relapsed/refractory multiple myeloma and multiple myeloma patients. Bioinformatics analyses indicated that tRFs/tiRNAs may be involved in the progression and drug-resistance of multiple myeloma.
2021-05-19 | GSE171003 | GEO
Project description:Background: Congenital heart disease (CHD) is one of the most predominant birth defects that cause infant death worldwide. The timely and successful surgical treatment of CHD on newborns after delivery requires accurate detection and reliable diagnosis during pregnancy. However, there are no biomarkers that can serve as an early diagnostic factor for CHD patients. tRNA-derived fragments (tRFs) have been reported to play an important role in the occurrence and progression of numerous diseases, but their roles in CHD remains unknown. Methods: High-throughput sequencing was performed on the peripheral blood of pregnant women with abnormal fetal heart and normal fetal heart, and 728 differentially expressed tRFs/tiRNAs were identified, among which the top 18 tRFs/tiRNAs were selected as predictive biomarkers of CHD. Then, quantitative reverse transcriptase polymerase chain reaction verified the expression of tRFs/tiRNAs in more clinical samples, and the correlation between tRFs/tiRNAs abnormalities and CHD was analyzed. Results: tRF-58:74-Gly-GCC-1 and tiRNA-1:35-Leu-CAG-1-M2 may be promising biomarkers. Through further bioinformatics analysis, we predicted that TRF-58:744-GLy-GCC-1 could induce CHD by influencing biological metabolic processes. Conclusions: our results provide a theoretical basis for the abnormally expressed tRF-58:74-Gly-GCC-1 in maternal peripheral blood as a new potential biomarker for the accurate diagnosis of CHD during pregnancy.
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Project description:Detection of tRNA-derived fragments (tRFs) in HaCaT cells under normal growth conditions without treatment
2018-12-09 | GSE119765 | GEO
Project description:Purpose: Next-generation sequencing (NGS) is the main way to mine ncRNA. The purpose of this study is to screen out tRNA-derived small RNAs (tsRNAs) that are differentially expressed in proliferative and quiescent HASMCs Methods: tsRNAs profiles of proliferative and quiescent HASMCs were generated by deep sequencing, in triplicate, using Illumina NextSeq 500. The sequence reads that passed Illumina chastity filter were used for the following analysis. Trimmed reads (with 5ʹ, 3ʹ-adaptor bases removed) were aligned to mature-tRNA and pre-tRNA reference sequences. The alignment statistical analysis was applied to retain the valid sequences for subsequent tsRNAs expression profiles and differential expression analysis. Results: Using an optimized data analysis workflow, we mapped about 8 million sequence reads per sample to mature-tRNA and pre-tRNA sequences from GtRNAdb and identified 3,891 tsRNAs in the proliferative and quiescent HASMCs. According to the standardized TPM, 887 up-regulated and 951 down-regulated tsRNAs were found in the proliferative HASMCs (fold change > 2, P < 0.05).
2021-01-12 | GSE164540 | GEO
Project description:tRNA-derived small RNA including tRNA-derived fragments (tRFs) and tRNA halves (tiRNAs) plays significant roles in the various molecular mechanisms that underlie certain human diseases. of the generation of tRFs/tiRNAs and their potential roles during Dengue virus (DENV) infection is not yet known. Here, we have performed small RNA sequencing to identify the generation and alterations in tRF expression profiles of DENV infected Huh7 cells. Our results suggest that 733 tiRNAs/tRFs were found to be differentially expressed during DENV infection. Interestingly, 3’tRF population were found to be upregulated and i-tRF population were found to be downregulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to analyze the impact of differentially expressed tRFs on DENV pathogenesis. Our results suggest the significant involvement in transcriptional regulation via RNA polymerase II promoter and metabolic pathways. Overall, our study contributes significantly to our understanding of the roles played by tRFs in the complex dynamics of DENV infection.
2024-08-10 | GSE245081 | GEO
Project description:Breast cancer is one of the most common cancers in the world and non-triple-negative breast cancer (non-TNBC) accounts for 80-90% of all invasive breast cancers. Early detection of breast cancer is considered as key to successful treatment. Conventionally，breast imaging and needle core biopsy are used for detection and monitoring of disease progression. However, small volume changes may be ignored on imaging and traditional biopsy is spatially and temporally limited, leading to a significant lag time in detecting cancer progression. This thus prompted renewed focus on early and accurate diagnosis. In this article, we committed to investigate whether there exists accurate molecule in peripheral blood which can help diagnose breast cancer. tRNA-derived fragments (tRFs) have been reported to be involved in many pathological processes, but whether it can serve as biomarkers for the diagnosis of breast cancer remains unclear. Using high-throughput sequencing technology, we identified 4021 differentially expressed tRFs in normal breast epithelial cell lines and non-triple-negative breast cancer cell lines and 8 tRFs were selected to construct a signature to predict the non-TNBC. Further, qRT-PCR was conducted to verify its expression and to analyze the correlation between dysregulated tRFs and breast cancer. The results indicated that tDR-7816, tDR-5334, tDR-4733 might be promising biomarkers. Through further bioinformatics analysis, we predicted that tDR-7816 influences xenobiotic metabolic process that support the oncogenesis of breast cancer. Taken together, our results provide a rationale for using circulating tDR-7816 expression as a novel potential biomarker to diagnose early non-TNBC patients.
2019-10-30 | GSE134992 | GEO
Project description:Despite being the leading cause of lung cancer death, the underlying molecular mechanisms driving metastasis progression are still not fully understood. tRNAs can generate a group of 18-40nt small RNA fragments named tRNA-derived small RNAs (tsRNAs) or tRNA-derived fragments (tRFs). Transfer RNA-derived fragments (tRFs) have been implicated in various biological processes in cancer. However, the role of tRFs in the development and progression of lung adenocarcinoma (LUAD) remains unclear. In the present study, we hypothesized that certain tRFs might become induced during LUAD metastatic progression. In this study, micropapillary and solid component was defined as high-risk, other component was defined as low-risk and adjcent tissue was defined as normal control. Our data revealed a series of dysregulated tRFs in 3 paired LUAD high-risk tissues, low-risk tissues and normal controls.
2024-07-04 | GSE271302 | GEO