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Cellular and extracellular tRNA-derived fragments demonstrate distinct signatures in cellular stress

ABSTRACT: The cellular response to stress is an important determinant of disease pathogenesis. Uncovering the molecular fingerprints of distinct stress responses may yield novel biomarkers for different diseases, and potentially identify key signaling pathways important for disease progression . tRNA and tRNA-derived small RNAs (tDRs) comprise one of the most abundant RNA species in cells and have been associated with cellular stress responses. However, systematic characterization of tDRs have been challenged by the technical difficulties in accurately profiling tDRs with normal small RNA sequencing techniques due to the presence of RNA modifications. Here we use AlkB-facilitated methylation sequencing (ARM-seq) to uncover a comprehensive landscape of cellular and extracellular tDRs expression in a variety of human and rat cells during common stress responses, including nutrition deprivation, hypoxia, and oxidative stress. We found that extracellular tDRs have a distinct fragmentation signature with a predominant length of 31-33 nts and a highly specific termination position when compared with intracellular tDRs, and comprise signatures that improve discrimination of different cellular stress responses compared to extracellular miRNAs. Distinct extracellular tDR signatures for each profiled stressor are elucidated in 4 different types of cells. This distinct extracellular tDR fragmentation pattern is also noted in plasma extracellular RNA from patients on cardiopulmonary bypass with significant overlap with the signatures of nutrition depravation and oxidative stress in our cellular models, providing preliminary in vivo correlation of our findings. Future application of our findings to human disease models may have promise in yielding novel biomarkers.

ORGANISM(S): Rattus norvegicus Homo sapiens

PROVIDER: GSE173806 | GEO | 2022/06/27

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.

Project description:Each cell type responds uniquely to stress and fractionally contributes to global and tissue-specific stress responses. Hepatocytes, liver macrophages (M?), and sinusoidal endothelial cells (SEC) play functionally important and interdependent roles in adaptive processes such as wound healing, obesity, and tumor growth. Although these cell types demonstrate significant phenotypic and functional heterogeneity, their distinctions enabling disease-specific responses remain understudied. To address this, we developed a strategy for simultaneous isolation and quantification of these liver cell types based on antigenic cell surface marker expression in response to DEN and found that while there was only a marginal increase in hepatocyte number, M? and SEC populations were quantitatively increased. Global gene expression profiling of hepatocytes, M? and SEC identified characteristic gene “fingerprints” that define each cell type and their distinct physiological or oncogenic stress signatures. Integration of these cell-specific gene fingerprints with available hepatocellular carcinoma (HCC) patient microarray data demonstrates that the hepatocyte-specific response strongly correlates with the human HCC gene expression profile. Liver-specific M? and SEC gene signatures demonstrate significant alterations in inflammatory and angiogenic gene regulatory pathways, which may impact the hepatocyte response to oncogenic stress. Further validation confirms alterations in components of two key pathways, AP-1 and p53, that have been previously associated with HCC onset and progression. Our data reveal unique gene expression patterns that serve as molecular “fingerprints” for the cell-centric responses to pathologic stimuli in the distinct microenvironment of the liver. The technical advance highlighted in this study provides an essential resource for assessing hepatic cell-specific contributions to oncogenic stress, information that could unveil previously unappreciated molecular mechanisms for the cellular crosstalk that underlies the development of hepatic cancer. Total RNA isolated from each specific cell type (Hepatocyte (PH), Sinusoidal Endothelial Cell (SEC), and Macrophage (MP)) pooled from 3-4 DEN-treated mice and compared to their untreated counterparts.

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Cellular and extracellular tRNA-derived fragments demonstrate distinct signatures in cellular stress

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