Project description:mRNA profiles of leukemic B cells from 8-week-old leukemic (Eu-TCL1 and Eu-TCL1-Rab27DKO) mice were generated by 3'-sequencing, in triplicate.
Project description:To validate that EU-RNA imaging provides a direct readout of wide-spread zygotic transcription, we sought to identify the nascent transcriptome using RNA-seq. We micoinjected 5-ethynyl uridine (EU) into 1-cell Xenopus embryos, isolated total RNA from embryos at mid-blastula transition (MBT), biotinylated EU-RNA and purified it to generate cDNA libraries for sequencing. Total RNA from normal embyros were used as control. We found over 25,000 nascent genes in this EU-RNA dataset at mid-ZGA. The nascent transcriptome dataset captures nearly 90% of the transcripts present in the whole-embryo dataset and with similar or better read-depth, indicating that our EU-RNA imaging is truly representative of wide-spread zygotic transcription. Furthermore, of the known zygotic genes that are most highly induced at MBT, we detected all of them and at much higher levels than in the whole-embryo dataset. These results show that our labeling captures the nascent zygotic transcriptome. We found ~ 4-fold higher sensitivity for nascent transcripts in the EU-RNA dataset compared to the whole embryo dataset, and as excepted we did not detect thousands of maternal-only transcripts in the nascent dataset. Together, these results suggest that EU-labeling provides a visual readout of bona fide nascent zygotic transcripts.
Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:To investigate the function of long non-coding RNA (lncRNA) in ovarian endometriosis and explore its pathogenesis from a new prospective pathway, we conducted genome-wide microarray expression profiling.GO and KEGG analysis demonstrated that the differential mRNAs in ECvsEU and NOvsEU mostly focused on cell adhesion and biological adhesion pathways, nevertheless ECvsNO on molecular metabolism pathways. CHL1 was the most up-regulated mRNA in EC than EU, and the expression of its two antisense lncRNAs, CHL1-AS1 and CHL1-AS2 exhibited the same tendency. They were significantly correlated with each other through bioinformatic calculation.GSEA analysis revealed that CHL1-AS1 and CHL1-AS2 were conspicuously concerned with the same gene set. Validated by qRT-PCR, CHL1-AS2 was higher expressed in EC than EU. It was also up-regulated in NO, and the relative fold changes in EC/EU and NO/EU showed no statistical significance (P>0.05). Furthermore, the value of EC/NO was more closed to 1 when sample size was enlarged, presenting the near expression of CHL1-AS2 in EC and NO. Consequently, we supposed that CHL1, CHL1-AS1 and CHL1-AS2 may play an important part in ovarian endometriosis.