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A ligation-independent sequencing method reveals tRNA fragments with blocked 3' termini

ABSTRACT: Despite the numerous sequencing methods available, the vast diversity in size and chemical modifications of RNA molecules makes the capture of the full spectrum of cellular RNAs a difficult task. By combining quasirandom hexamer priming with a custom template switching strategy, we developed a method to construct sequencing libraries from RNA molecules of any length and with any type of 3’ terminal modification, allowing the sequencing and analysis of virtually all RNA species. Ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to comprehensively characterize changes in small non-coding RNAs and mRNAs simultaneously, with performance comparable to separate dedicated methods. With LIDAR, we comprehensively characterized the coding and non- coding transcriptome of mouse embryonic stem cells, neural progenitor cells, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared to traditional ligation-dependent sequencing methods, and uncovered the presence of tDRs with blocked 3’ ends that had previously escaped detection. Our findings highlight the potential of LIDAR to systematically detect all RNAs in a sample and uncover new RNA species with potential regulatory functions.

ORGANISM(S): synthetic construct Mus musculus

PROVIDER: GSE233343 | GEO | 2023/06/06

REPOSITORIES: GEO

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Project description:Background: Resistance to trastuzumab remains a common challenge to HER-2 positive breast cancer. Up until now, the underlying mechanism of trastuzumab resistance is still unclear. tRNA-derived small non-coding RNAs (tDRs), a new class of small non-coding RNA (sncRNAs), have been observed to play an important role in cancer progression. However, the relationship between tDRs and trastuzumab resistance is still unknown. Methods: We detected the levels of tDRs expression in normal breast epithelial cell lines, trastuzumab-sensitive and -resistant breast cancer cell lines using high-throughput sequencing. qRT-PCR was conducted to validate the differentially expressed tDRs in serums from trastuzumab-sensitive and -resistant patients. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the power of specific tDRs. Progression-free survival (PFS) was analyzed using Cox-regression. Furthermore, Gene Ontology (GO) and pathway analyses indicated the potential mechanism underlying tDR-mediated trastuzumab resistance. Results: Our sequence results showed that tDRs were differentially expressed in the HBL-100, SKBR3, and JIMT-1 cell lines. tDR-1960 and tDR-1969 were found significantly upregulated in trastuzumab-resistant patients compared to sensitive individuals, and the ROC analysis showed that tDR-1960 and tDR-1969 were correlated with trastuzumab resistance. In a multivariate analysis, higher levels of tDR-1960 and tDR-1969 expression were associated with signiﬁcantly shorter PFS in patients with metastatic HER-2 positive breast cancer. Additionally, the GO analysis indicated that tDR-1960 and tDR-1969 were mainly involved in the cellular response to drug, which may partially explain the molecular mechanism underlying trastuzumab resistance in HER-2 positive breast cancer. Conclusion: we comprehensively analyzed tDRs in trastuzumab-sensitive and -resistant breast cancer. Our results suggest that tDR-1960 and tDR-1969 play important roles in trastuzumab resistance. Patients with high levels of tDR-1960 and tDR-1969 expression benefitted less from trastuzumab-based therapy than those that express lower-levels of these tDRs. tDR-1960 and tDR-1969 may be potential biomarkers and intervention targets in the clinical treatment of trastuzumab-resistant breast cancer.

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A ligation-independent sequencing method reveals tRNA fragments with blocked 3' termini

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