Dataset Information

Differential Expression Profiles and Function Predictions for tRFs & tiRNAs in BALB/c mice with atopic dermatitis

ABSTRACT: Purpose: To explore the expression and biological functions of tRFs & tiRNAs in BALB/c mice with AD. Method: tRFs/tiRNAs profiles of control mice skin and 2,4-dinitrochlorobenzene(DNCB)- induced mice skin were generated by the Arraystar Mouse Small RNA Arrays. qRT–PCR validation was performed using SYBR Green assays. Results: There were 676 tRFs/tiRNAs that were aberrantly expressed in BALB/c mice with AD; 298 were upregulated and 378 were downregulated. tRF5-20-GluCTC-1, 5'tiRNA-33-ProTGG-4, 5'tRF-GluTTC, and mt-tRF3a-ProTGG were significantly expressed and confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the Small RNA microarray technology. Conclusion: The pathogenesis of AD may be related with the differential expression of tRFs/tiRNAs. These findings may provide new perspectives for elucidating the molecular mechanisms and future treatments for AD.

ORGANISM(S): Mus musculus

PROVIDER: GSE225968 | GEO | 2023/05/31

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The ongoing pandemic of coronavirus disease 2019 (COVID-19), which results from the rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a significant global public health threat, with molecular mechanisms underlying its pathogenesis largely unknown. Small non-coding RNAs (sncRNAs) are known to play important roles in almost all biological processes. In the context of viral infections, sncRNAs have been shown to regulate the host responses, viral replication, and host-virus interaction. Compared with other subfamilies of sncRNAs, including microRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs), tRNA-derived RNA fragments (tRFs) are relatively new and emerge as a significant regulator of host-virus interactions. Using T4 PNK‐RNA‐seq, a modified next‐generation sequencing (NGS), we recently found that nasopharyngeal swabs (NPS) samples from SARS-CoV-2 positive and negative subjects show a significant difference in sncRNA profiles. There are about 166 SARS-CoV- 2-impacted sncRNAs. Among them, tRFs are the most significantly affected and almost all impacted tRFs are derived from the 5’-end of tRNAs (tRF5). Using a modified qRT-PCR, which was recently developed to specifically quantify tRF5s by isolating the tRF signals from its corresponding parent tRNA signals, we validated that tRF5s derived from tRNA GluCTC (tRF5-GluCTC), LysCTT (tRF5-LysCTT), ValCAC (tRF5-ValCAC), CysGCA (tRF5-CysGCA) and GlnCTG (tRF5-GlnCTG) are enhanced in NPS samples of SARS-CoV2 patients and SARS-CoV2-infected airway epithelial cells. In addition to host-derived ncRNAs, we also identified several sncRNAs derived from the virus (svRNAs), among which a svRNA derived from CoV2 genomic site 346 to 382 (sv-CoV2-346) has the highest expression. The induction of both tRFs and sv-CoV2-346 has not been reported previously, as the lack of the 3’-OH ends of these sncRNAs prevents them to be detected by routine NGS. In summary, our studies demonstrated the involvement of tRFs in COVID-19 and revealed new CoV2 svRNAs.

Dataset Information

Differential Expression Profiles and Function Predictions for tRFs & tiRNAs in BALB/c mice with atopic dermatitis

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets