Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
Project description:Purpose: this study is to analyze the change of overal transcriptome after disruption of DNA methyltransferase (DNMT) in Plasmodium falciparum. Methods: In this study, the transcriptomes of a PfDNMT gene knockout (KO) parasite line with its wildtype control, its complementation (adding back the DNMT expression by episomal expression of DNMT in the DNMT KO parasite), and overexpression (episomal expression of DNMT in the wildtype parasite) were analyzed by RNAseq. Total RNA were harvested from the asexual parasites at three developmental stages (ring, trophozoite, and schizont) using the Quick-RNA MiniPrep kit (Zymo Research). RNA sequencing libraries were prepared using the KAPA stranded RNA-seq library preparation kit (Roche) with 500 ng RNA from each sample. Illumina adapter sequence removal and quality trimming of reads were performed using Trimmomatic. Only reads that had a minimum length of 50 base pairs were retained. Reads were then mapped to the P. falciparum 3D7 strain reference genome with HISAT2. Results: Using an optimized data analysis workflow, we mapped about 5 million sequence reads per sample to the malaria parasite genome (pf3D7_V3.0.) and identified 5712 transcripts with high mapping rate at the range between 80% and 95. PfDNMT KO profoundly disturbed the global transcription pattern,especially at trophozoite stage, causing 1732 (30.3%) genes to be differentially expressed at trophozoite.Complementation restored the expression pattern and overexpression of PfDNMT caused nearly 2000 gene ro be differentially expressed at schizont stage. Conclusions: Collectively, transcriptomic analysis of DNMT KO, complemetation and overexpression shows PfDNMT plays important role in gene regulation.
Project description:Plasmodium berghei transcriptomes of pbap2-tr-DiCre, a parasite line in which pbap2-tr is disrupted by DiCre-mediated recombination in the presence of rapamycin, were analyzed at the trophozoite stage.
Project description:Purpose: This study aimed at exploring the deregulated genes in setd2 knockout mESCs compared with wt, more particularly to find the mechanism controlled by setd2,which was required for endoderm differentiation. Methods: Setd2 wt and ko mESCs were generated by deep sequencing, using Illumina GAIIx. Using Avadis NGS (version:1.3) software to analyze the sequence reads that passed quality filter to acquire the expression level of all genes. qRT–PCR validation was performed usingSYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 80 million sequence reads per sample to the mouse genome (build mm9) and identified 17,827 transcripts in the sted2 wt and ko mESCs. About 2,516 genes were deregulated in setd2 ko mESCs, more than 10 genes were validated using qRT-PCR. Conclusions: Through RNA-seq,we noticed that a subset of genes that related to MAPK signaling pathways were down-regulated in ko mESCs. This provided a bridge to connect setd2 and mESCs endoderm differentiation. One wt and one ko mESCs were generated by deep sequencing, using Illumina GAIIx.
Project description:Purpose: this study is to analyze the change of RNA splicing events after disruption of Protein Arginine Methyltranferase 5 (PRMT5) in Plasmodium falciparum. Methods: In this study, the transcriptomes of a PfPRMT5 gene knockout (KO) parasite line with its wildtype control were analyzed by RNAseq.Total RNA were harvested from the asexual parasites at four stages (ring, early trophozoite, late trophozoite, and schizont)(12h, 24h, 36h, and 46h post-invasion) using the Quick-RNA MiniPrep kit (Zymo Research). RNA sequencing libraries were prepared using the KAPA stranded RNA-seq library preparation kit (Roche) with 500 ng RNA from each sample. Illumina adapter sequence removal and quality trimming of reads were performed using Trimmomatic. Only reads that had a minimum length of 50 base pairs were retained. Reads were then mapped to the P. falciparum 3D7 strain reference genome with HISAT2. Results: This RNAseq analysis with strand-specific mRNA libraries from both ΔPfPRMT5 and WT lines showed that >90% of sequencing reads were of high quality for mapping to the P. falciparum genome with nearly 40 times of coverage. This allows us to analyze the change of alternative splicing events (alternative 5' splice site, alternative 3' splice site, retained intron and skipped exon). 800, 1056, 479, and 1158 alternative splicing events (alternative 5' splice site, alternative 3' splice site, retained intron and skipped exon) were altered in the DPfPRMT5 parasite line as compared to the WT line at four development stages, respectively (unpublished data). Conclusions: Collectively, this RNAseq provide a dataset for analysis of abnormal RNA splicing events in the ΔPfPRMT5 parasites.
Project description:Pioneering studies (PXD014844) have identified many interesting molecules in tick saliva by LC-MS/MS proteomics, but the protein databases used to assign mass spectra were based on short Illumina reads of the Amblyomma americanum transcriptome and may not have captured the diversity and complexity of longer transcripts. Here we apply long-read Pacific Bioscience technologies to complement the previously reported short-read Illumina transcriptome-based proteome in an effort to increase spectrum assignments. Our dataset reveals a small increase in assignable spectra to supplement the previously released short-read transcriptome-based proteome.
Project description:Pioneering studies (PXD014844) have identified many interesting molecules by LC-MS/MS proteomics, but the protein databases used to assign mass spectra were based on short Illumina reads of the Amblyomma americanum transcriptome and may not have captured the diversity and complexity of longer transcripts. Here we apply long-read Pacific Bioscience technologies to complement the previously reported short-read Illumina transcriptome-based proteome in an effort to increase spectrum assignments. Our dataset reveals a small increase in assignable spectra to supplement previously released short-read transcriptome-based proteome.