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PROVIDER: PRJNA1196401 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Morus alba L. Raw protein sequence reads and sequence
2024-02-08 | PXD049451 |
Project description:We performed the RNA-seq in control samples and FXR1 knockdown samples, and compared the gene expression profiles to explore the effect of FXR1 knockdown on gene expression. The study was performed in H358 cells. Doxycycline inducible shRNA3 (sh3) was used to knockdown FXR1. Control shRNA (ctrl) samples were used to get rid of the effect of Doxycycline treatment. Both the Doxycycline treament for 3 days (D3) and 5 days (D5) samples were collected. Each sample has three repeats (rep 1, rep 2, and rep 3). The mRNA profiles were generated by deep sequencing using Illumina.Sequenced reads were trimmed for adaptor sequence, then mapped to hg19 whole genome using STAR v2.5.3 with parameters --bamRemoveDuplicatesType UniqueIdentical --outSAMmultNmax 1. Raw reads and Reads Per Kilobase per Megabase of library size (RPKM) were calculated using HOMER (PMID: 20513432). Differential gene expression was analyzed using R package DESeq2 using the raw reads.
2017-10-04 | GSE101754 | GEO
Project description:Methods: We performed mRNA sequence analysis by deep sequencing, in triplicate, using Illumina HiSeq to assess the impact of PHLPP1 knockdown in regulating gene expression in RAW 264.7 cells treated with/without OxLDL. The transcriptome libraries were constructed using the NEB adapters and were sequenced on at 150 nucleotide read length using the paired-end chemistry. The raw reads were subjected to Adapter and low-quality reads removal by Trimmomatic -0.36v. The raw reads were subjected to contamination [structural RNA / low complexity sequences] removal by mapping with bowtie 2-2.2.1. The decontaminated data set was mapped to the mouse genome. Reads mapping to gene list were counted using feature count module of sub reads package. The read counts were normalized in DESeq2-3.5, and subject to differential expression analysis. Differentially expressed genes were selected based on log2-ratio change with p-value <0.05 (Student’s t-test, unpaired). Hierarchical clustering was performed with the programs Cluster (uncentered correlation; average linkage clustering) and Treeview. Results: To gain a deeper understanding of the role of PHLPP1 in lipid metabolism in macrophages, we performed mRNA Seq analysis to assess the gene expression changes in a mouse macrophage cell line. The experiment has been carried out in triplicates. Alignment of the reads showed 97% alignment to the reference mouse genome. Identification of the differentially expressed genes were then carried out by DESeq2 version 1.2.10 with stringent criteria (FDR <0.05% with 2 fold up and down regulation) which reveals in control treated vs. control (121-down, 396-Up), Test vs. Control - (326-down, 569 Up) and Test treated vs. control treated (1314-down, 1328 up) of DEG to be altered in expression respectively. Inference: RNA-seq analysis revealed that PHLPP1 knockdown parallel with OxLDL treatment resulted in diminished expression profile of cholesterol biosynthesis and lipid metabolism genes.
2022-01-09 | GSE193132 | GEO
Project description:Whole RNA-sequencing analysis was performed and analyzed by Lc. Biotech Co. Ltd. (Hangzhou, China). hippocampus tissue from the Ctrl + Ctrl group, Ctrl + circDYM group, CUS + Ctrl group, and CUS + circDYM group were collected in TRIzol. Total RNAs were extracted from Trizol. UMI technology was used to label each sequence fragment with sequence tags, which minimized the interference of duplication caused by PCR amplification on the quantitative accuracy of the transcriptome. RNA sequencing reads were aligned to the mouse genome (GRCh37/hg19) using the software Hisat2 (2.0.4). Transcript abundance was evaluated by calculating fragments per kilo base of exon per million fragments mapped (FPKM).
2023-11-11 | GSE189273 | 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:In this study, in order to identify miRNA targets, a degradome library derived from anthers of the WT and GMS (Genetic Male Sterility) mutant representing three stages of development was constructed and sequenced, resulting in the generation of 24.6 million raw reads. After removal of low quality sequences and adapter sequences, 24.4 million clean reads were obtained and 98% were 20 or 21 nt in length as expected in that normally length distribution peak of degradome fragment is between 20 and 21 nt [Addo-Quaye C, Eshoo TW, Bartel DP, Axtell MJ: Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome. Curr Biol 2008, 18:758-762].
2013-07-28 | GSE43389 | GEO
Project description:Human glioma cell line Raw sequence reads
| PRJNA747130 | ENA
Project description:T cell activation leads to dramatic changes in cellular phenotype. We used CD3/CD28-activated human CD4 T cells to study how RNA binding proteins define the post-transcriptional landscape. Using RIPseq, we identified the RNA interactome of U2AF2 and show at the global level that U2AF2 binds the majority of transcripts that are differentially expressed and/or alternatively spliced during CD4 T cell activation. A unique protein interactome centered on U2AF2 is assembled in response to activation. Knocking down specific U2AF2 interacting partners (U2AF1, SYNCRIP, SRRM2, ILF2) selectively affects cytokine secretion and expression of activation markers. Furthermore, the expression and/or alternative splicing of transcripts important for immune cell function are also affected by knocking down these U2AF2 interacting proteins. U2AF1 and SYNCRIP knockdowns affect the proteins and transcripts bound to U2AF2, altering the transcriptome. Our work highlights the importance of RNA binding protein complexes in regulating the differential expression and alternative splicing that defines T cell activation. HTA 2.0 microarray results of total from a primary CD4 T cell culture after treatment with siRNAs (Control, U2AF1, SRRM2, SYNCRIP, and ILF2) and 24 hours after anti-CD3/CD28 bead activation Please note that the Series supplementary 'TotalRNA_HTA2_all_siRNA_100414.xslx' file has multiple worksheets containing: 1) Differentially expressed genes in ctrl siRNA vs. U2AF1 siRNA; 2) Differntially spliced genes in ctrl siRNA vs. U2AF1 siRNA; 3) Differentially spliced exons in ctrl siRNA vs. U2AF1 siRNA; 4) Differentially expressed genes in ctrl siRNA vs. SRRM2 siRNA; 5) Differntially spliced genes in ctrl siRNA vs. SRRM2 siRNA; 6) Differentially spliced exons in ctrl siRNA vs. SRRM2 siRNA; 7) Differentially expressed genes in ctrl siRNA vs. SYNCRIP siRNA; 8) Differntially spliced genes in ctrl siRNA vs. SYNCRIP siRNA; 9) Differentially spliced exons in ctrl siRNA vs. SYNCRIP siRNA; 10) Differentially expressed genes in ctrl siRNA vs. ILF2 siRNA; 11) Differntially spliced genes in ctrl siRNA vs. ILF2 siRNA; 12) Differentially spliced exons in ctrl siRNA vs. ILF2 siRNA
2015-11-04 | E-GEOD-62921 | biostudies-arrayexpress
Project description:GP61-primed effector CD4+ T cells were isolated from Ctrl or Mettl3-deficient SMARTA mice. Total RNAs were extracted with TRIzol reagent, and mRNAs were then isolated with Dynabeads® mRNA purification kit, followed by stardard m6A-miCLIP-SMARTer-seq with some modifications. Raw sequencing reads were aligned to the mouse genome (mm10) with BWA, and then m6A sites were determined.
2021-01-19 | GSE129649 | GEO
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