Sula nebouxii
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA764264 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:SAGA member Ada2 is required for the majority of H3K9 acetylation in C. neoformans. To identify specific genomic loci that exhibit Ada2-dependent H3K9 acetylation, we performed ChIP-Seq against H3K9ac in wildtype and ada2Δ cells. ChIP-Seq was performed using antibodies for H3K9ac in KN99 wildtype cells and ada2Δ cells. Input and IPed DNA was collected in triplicate from each strain and sequenced on an Illumnina HiSeq 2000 flow cell producing 84 million reads. Due to the lack of quality scores, raw reads are omitted from the submission.
2012-01-01 | E-GEOD-32075 | biostudies-arrayexpress
Project description:Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell.
2018-12-31 | GSE120109 | GEO
Project description:Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used a high-throughput RNAseq approach. Many genome-wide expression studies of HIV infection are based on analyses of total peripheral blood mononuclear cells (PBMCs), which consist of over a dozen cell subsets, including T cells, B cells, NK cells and monocytes Methods: The CD4 T cells were uninfected or infected with the YU2 strain and were untreated or treated for 6 days with ABX464, followed by high-throughput RNAseq. Each raw dataset of the samples contained between 44 and 105 million single-end reads (50 bp), with an average of approximately 60 million raw reads per sample Results: Approximately 98% of the total raw reads were mapped to the human genome sequence (GRCh38), giving an average of 60 million human reads per sample for further analyses. The reads that were correctly mapped (approximately 98% of total input reads) to the gene and transcript locations (GTF annotation file) Conclusions: The MDS of our gene expression data showed, without any outliers, that the different donors segregated well and distributed into the DMSO (untreated) and ABX464 treatments that were infected or uninfected. The displayed variance was donor-dependent (clustered by donor) but treatment-independent (no data structure related to the different treatments), which suggests that the ABX464 molecule did not induce a major difference in CD4 T cell gene expression.
2018-06-22 | GSE116073 | GEO
Project description:Here, we developed a novel chromosome conformation capture (3C) method for capturing the 3D spatial contacts of endogenous genomic loci without a need for crosslinking. This method, i3C, was applied to multiple loci in two different human primary (ENCODE) cell lines, HUVEC and IMR90, and in the absence or presence of a proinflammatory stimulus (TNFalpha). Coupled to high throughput sequencing on an Illumina HiSeq200 platform, i3C generated aprrox. 8 million single-end reads per experiment.
2016-12-10 | E-MTAB-4719 | biostudies-arrayexpress
Project description:Purpose: to identify specific miRNAs as biomarkers associated with immunosuppressive treatment response in MG patients. Methods: Blood miRNome profiles of 15 responder and 15 non-responder MG patients by miRNA-seq using Illumina NextSeq 500 sequencing. Raw data were de-multiplexed and FASTQ files for each sample were generated using the bcl2fastq software. FASTQ data were checked using the FastQC tool. After mapping the data and counting to relevant entries in miRBase 20 (http://www.mirbase.org/), the numbers of known microRNAs was calculated.For statistical analysis, along with TPM normalization, the trimmed mean of M-values (TMM) normalization method was used. Validation was perfomed using TaqMan Advanced real-time PCR on microRNA array cards. Results: An average of 9.98 million reads was obtained per sample. We identified 41 statistically significant differentially expressed miRNAs (logFoldChange from +1.371 to -1.439, p < 0.05), including 18 miRNAs up-regulated and 23 miRNAs down-regulated in non-responder versus responder MG patients. 23 miRNAs were selected for validation. Among them, three miRNAs were significantly decreased in non-responder versus responder patients, whereas two showed an opposite trend. Conclusions: We identified a blood miRNA signature associated with drug responsiveness in MG patients, that could represent a valuable tool for therapeutic follow-up in MG.
2020-05-23 | GSE131703 | GEO
Project description:To identify more targets in soybean, particularly specific targets of Cd-stress-responsive miRNAs, high-throughput degradome sequencing was used. In total, we obtained 8913111 raw reads from the library which was constructed from a mixture of four samples (HX3-CK, HX3-Cd-treatment, ZH24-CK and ZH24-Cd-treatment). After removing the reads without the CAGAG adaptor, 5430126 unique raw-reads were obtained. The unique sequences were aligned to the G. max genome database, and 6516276 reads were mapped to the genome. The mapped reads from the libraries represented 51481 annotated G. max genes.
2013-12-20 | GSE50063 | GEO
Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 | iProX
Project description:Purpose: The goal of this study is to compare endothelial small RNA transcriptome to identify the target of OASL under basal or stimulated conditions by utilizing miRNA-seq. Methods: Endothelial miRNA profilies of siCTL or siOASL transfected HUVECs were generated by illumina sequencing method, in duplicate. After sequencing, the raw sequence reads are filtered based on quality. The adapter sequences are also trimmed off the raw sequence reads. rRNA removed reads are sequentially aligned to reference genome (GRCh38) and miRNA prediction is performed by miRDeep2. Results: We identified known miRNA in species (miRDeep2) in the HUVECs transfected with siCTL or siOASL. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of endothelial miRNA profiles affected by OASL knockdown with biologic replicates.
2022-09-06 | GSE186354 | GEO
Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.
2016-02-01 | E-MTAB-4313 | biostudies-arrayexpress
Project description:We developed a method, ChIP-sequencing (ChIP-seq), combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing to identify mammalian DNA sequences bound by transcription factors in vivo. We used ChIP-seq to map STAT1 targets in interferon stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes. By ChIP-seq, using 15.1 and 12.9 million uniquely mapped sequence reads, and an estimated false discovery rate of less than 0.001, we identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively. Of the 34 loci known to contain STAT1 interferon-responsive binding sites, ChIP-seq found 24 (71%). ChIP-seq targets were enriched in sequences similar to known STAT1 binding motifs. Comparisons with two ChIP-PCR data sets suggested that ChIP-seq sensitivity was between 70% and 92% and specificity was at least 95%. Use ChIP-seq to map STAT1 targets in interferon-gamma (IFN-gamma)-stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes
2009-03-23 | E-GEOD-15353 | biostudies-arrayexpress