Identification of tRFs&tiRNAs Expression Profile in Breast Cancer Tissues
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ABSTRACT:
PROVIDER: PRJNA510401 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8330380.fastq.gz | Fastqsanger.gz | |||
| SRR8330381.fastq.gz | Fastqsanger.gz | |||
| SRR8330382.fastq.gz | Fastqsanger.gz | |||
| SRR8330383.fastq.gz | Fastqsanger.gz | |||
| SRR8330374.fastq.gz | Fastqsanger.gz |
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Project description:Purpose:In recent years, tRFs(transfer RNA-Derived Fragments) & tiRNAs (transfer RNA-Derived Stress-induced RNAs or tRNA halves) have been shown to have vital roles in cancer biology. We aimed to reveal the expression profile of tRFs&tiRNAs in breast cancer tissues in the study, and to explore their potential as biomarkers of breast cancer. Methods:We characterize tRFs&tiRNAs expression profiles in 6 pairs of breast cancer tissues and adjacent normal samples.Then we selected six tRFs&tiRNAs with significant expression and added 10 pairs of samples to verify the selected genes by qPCR in 16 pairs of breast cancer tissues along with the previous 6 pairs. Results:We found 31 differentially expressed tRFs&tiRNAs across our dataset, out of which 17 were up-regulated, 14 were down-regulated. Compared with 16 breast cancer tissues and healthy controls by qPCR, the results demonstrated that AS-tDR-001430, AS-tDR-001130 and AS-tDR-000779 were significantly expressed in breast cancer tissues (p < 0.001). AS-tDR-000779 was significantly up-regulated, AS-tDR-001430 and AS-tDR-001130 were significantly down-regulated which the expression patterns were similar to the sequencing results. Conclusions:Our studies have demonstrated that there were significantly expressed tRFs&tiRNAs in breast cancer tissues. They are hopefully to become biomarkers and would be valuable researches in this area.
2020-01-21 | GSE123967 | 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
Project description:Purposes: To investigate the biological function of tRF in breast cancer by tRF and tiRNA sequencing Methods: Breast cancer tissue samples and matched non-tumor adjacent tissues were obtained from five patients. Small RNA sequencing was performed on Illumina NexSeq instrument Results: If P ≤ 0.05, fold change ≥ 2 as the cut off, there were 3 up-regulated tRFs & tiRNAs and 13 down-regulated tRFs & tiRNAs. Conclusions:There were 3 up-regulated tRFs & tiRNAs and 13 down-regulated tRFs & tiRNAs in breast cancer tissue samples and matching adjacent tissue samples
2022-01-01 | GSE192737 | 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:tRNA-derived fragments (tRFs) are new noncoding RNAs, and recent studies have shown that tRNAs and tRFs have important functions in cell metabolism via posttranscriptional regulation of gene expression. However, whether tRFs regulate cellular metabolism of the anterior cruciate ligament (ACL) remains elusive. The aim of this study was to investigate the role and action mechanism of tRFs in ACL cell metabolism. Arraystar_tRF&tiRNA was used to determine tRFs and tiRNA expression profiles in human OA ACL cells and NA ACL cells。
2022-04-12 | GSE200433 | GEO
Project description:Transfer RNA-derived fragments (tRFs) and transfer RNA halves (tiRNAs) have been shown to play crucial roles in gene regulation. This study targets to reveal the expression profile of tRFs and tiRNAs and their possible biological roles in lung adenocarcinoma (LUAD). Five paired clinical lung adenocarcinoma tissues (LAT) and adjacent normal lung tissues (ANLT) were selected to conduct the expression of tRFs and tiRNAs. The sequencing results showed that 109 tRFs and tiRNAs were differentially expressed between LAT and ANLT, out of which 60 were upregulated and 49 were downregulated. Compared with ANLT, lower expression levels of three tRF-1s (tRF-Ser-TGA-010, tRF-Arg-CCT-018 and tRF-Val-CAC-017) in LAT were verified by quantitative real-time polymerase chain reaction. Subsequently, the putative target genes of tRF-1s were analyzed by computational prediction and the top ten significant results of GO and KEGG pathway enrichment analysis were presented. These signaling pathways are involved in the carcinogenesis of LUAD. This study has showed a landscape of tRFs and tiRNAs expression profiles in LUAD. Three newly found differentially expressed down-regulated tRF-1s may be involved in the pathogenesis of LUAD and might serve as potential diagnostic biomarkers.
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Project description:Use of circRNA array to examine the circRNA expression profile in breast cancers,non-tumor breast tissues
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Project description:To screen candidate methylation markers for early detection of breast cancer, we performed methylated-CpG island recovery assay combined with CpG island array on 61982 CpG sites across 4162 genes in 10 breast tumor tissues and 10 non-tumor breast tissues. We detected 70 significantly hypermethylated genes in breast tumor tissues, including many novel hypermethylated genes such as ITGA4, NFIX, OTX2 and FGF12. Direct bisulfite sequencing showed widespread methylations occurred in intragenic regions of WT1, PAX6 and ITGA4 genes and promoter region of OTX2 in breast cancer tissue. COBRA assay in independent tumor and non-tumor samples confirmed that WT1, OTX2 and PAX6 genes were hypermethylated in breast cancer tissues. To explore the relationship between methylation and gene expression, gene expression profiling analysis was performed in 8 breast tumor tissues and 8 non-tumor breast tissues. We found that some hypermethylated genes in breast cancer were not expressed in breast tissues. RT-PCR assay showed that WT1 and PITX2 were only weakly expressed in the breast tumor tissues and weren’t expressed in most non-tumor breast tissues. OTX2 and PAX6 weren’t expressed in both breast tumor tissues and non-tumor tissues.
2011-11-11 | GSE33445 | GEO
Project description:The present project aims to evaluate the gene expression profile of breast cancer tissue resistant to treatment with taxanes. Biopsies from tumor tissues were obtained from breast cancer patients without prior treatment. Histopathological analysis and ex vivo exposure to antineoplastic chemotherapeutics were carried out. Alamar Blue and lactate dehydrogenase release assays were performed for quantitative analysis of tumor viability after treatment and to asses the sensibility or resistant behaviour. Sensitive and resistant tumor tissues samples without prior exposure to therapeutic drugs were analyzed by gene expression microarrays.
2017-05-24 | GSE99225 | GEO
Project description:To screen candidate methylation markers for early detection of breast cancer, we performed methylated-CpG island recovery assay combined with CpG island array on 61982 CpG sites across 4162 genes in 10 breast tumor tissues and 10 non-tumor breast tissues. We detected 70 significantly hypermethylated genes in breast tumor tissues, including many novel hypermethylated genes such as ITGA4, NFIX, OTX2 and FGF12. Direct bisulfite sequencing showed widespread methylations occurred in intragenic regions of WT1, PAX6 and ITGA4 genes and promoter region of OTX2 in breast cancer tissue. COBRA assay in independent tumor and non-tumor samples confirmed that WT1, OTX2 and PAX6 genes were hypermethylated in breast cancer tissues. To explore the relationship between methylation and gene expression, gene expression profiling analysis was performed in 8 breast tumor tissues and 8 non-tumor breast tissues. We found that some hypermethylated genes in breast cancer were not expressed in breast tissues. RT-PCR assay showed that WT1 and PITX2 were only weakly expressed in the breast tumor tissues and weren’t expressed in most non-tumor breast tissues. OTX2 and PAX6 weren’t expressed in both breast tumor tissues and non-tumor tissues.
2011-11-11 | GSE33447 | GEO