Project description:The dataset represents the proteome analysis of 7 sampling dates during the phytoplankton bloom in the Helgoland Roads in the North Sea at the long-term research station ‘Kabeltonne’ (54°11'N 7°54'E, DEIMS.ID https://deims.org/1e96ef9b-0915-4661-849f-b3a72f5aa9b1) in 2018.
Project description:We profiled transcriptomes in human lung cancer cell line A549 when the expression of Bloom was knockdown by the siRNA specific to Bloom.
Project description:The purpose of this study was to quantify the effects of basal leaf removal applied in Sangiovese cultivar at two different phonological stages, pre-bloom and veraison, on berry composition. As very few papers were published about the regulation of gene expression induced by vineyard management techniques, we report the first global transcriptomic analysis (integrated with agronomic and biochemical data) aiming to determine the molecular mechanisms that control Sangiovese berry composition. The comparison of gene expression profiles of defoliated vines at pre-bloom and at veraison with the control, revealed a common transcriptional response at the end of veraison in both treated berries, but also a more extensive transcriptome rearrangement in pre-bloom defoliated ones, which could be linked to the strong biochemical changes detected in the berry after pre-bloom veraison.
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.