Transcriptomics

Dataset Information

0

The m6A reader IMP2 directs autoimmune inflammation through an IL-17– and TNFa-dependent C/EBP transcription factor axis


ABSTRACT: Posttranscriptional regulation of C/EBPs through m6A/IMP2 represents a new paradigm of cytokine-driven autoimmune inflammation Using an optimized data analysis workflow, we mapped about 40 million sequence reads per sample to the mouse genome (build mm10) and identified potential differentially regulated transcripts in the MEFs of siImp2 vs siControl with an absolute fold change ≥2 and p value <0.05. Altered expression of potential genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

ORGANISM(S): Mus musculus

PROVIDER: GSE178725 | GEO | 2021/06/24

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-07-02 | GSE178710 | GEO
2023-06-11 | GSE152424 | GEO
2021-07-23 | GSE180561 | GEO
| PRJEB71750 | ENA
| PRJNA740057 | ENA
| PRJNA740196 | ENA
2019-11-12 | PXD010397 | Pride
| S-EPMC8404281 | biostudies-literature
2016-06-06 | E-MTAB-3636 | biostudies-arrayexpress
2016-08-02 | E-GEOD-83822 | biostudies-arrayexpress