Dataset Information

PHLPP1 promotes lipid accumulation through AMPK/ChREBP dependent lipid uptake and fatty acid synthesis pathway

ABSTRACT: 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.

ORGANISM(S): Mus musculus

PROVIDER: GSE193132 | GEO | 2022/01/09

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Chromatin accessibility captures the binding status of protein factors to chromosomes in vivo, and has been considered a highly informative proxy for functional protein-DNA interactions. Existing DNase I and Tn5 transposase based assays generally require tens of thousands to millions of fresh cells. Applying Tn5 tagmentation to single cells yields very sparse maps. Here we present a transposome hypersensitive sites sequencing assay (THS-seq) for highly sensitive characterizations of chromatin accessibility. Validation of THS-seq method, and comparison of DNase-seq, ATAC-seq and THS-seq methods for quantitation of chromatin accessibility. GSE47753, GSM1155957 GM12878_ATACseq_50k_Rep1, data downsampled to 8,351,125 reads for analysis: pub_SRR891268_ATAC-seq_50k_cells_Rep1_downsampled_dfilter_peaks.bed.gz GSE47753, GSM1155958 GM12878_ATACseq_50k_Rep2, data downsampled to 8,351,125 reads for analysis: pub_SRR891269_ATAC-seq_50k_cells_Rep2_downsampled_dfilter_peaks.bed.gz GSE47753, GSM1155959 GM12878_ATACseq_50k_Rep3, data downsampled to 8,351,125 reads for analysis: pub_SRR891270_ATAC-seq_50k_cells_Rep3_downsampled_dfilter_peaks.bed.gz GSE47753, GSM1155960 GM12878_ATACseq_50k_Rep4, data downsampled to 8,351,125 reads for analysis: pub_SRR891271_ATAC-seq_50k_cells_Rep4_downsampled_dfilter_peaks.bed.gz GSE47753, GSM1155961 GM12878_ATACseq_500_Rep1, data downsampled to 8,351,125 reads for analysis: pub_SRR891272_ATAC-seq_500_cells_Rep1_downsampled_dfilter_peaks.bed.gz GSE47753, GSM1155962 GM12878_ATACseq_500_Rep2, data downsampled to 8,351,125 reads for analysis: pub_SRR891273_ATAC-seq_500_cells_Rep2_downsampled_dfilter_peaks.bed.gz raw data files were merged, alignment with bowtie 1.3 using parameters, bowtie -n1 -k1 --best --chunkmbs 10240 --strata -l32 -m1 -p4 --nomaqround --sam, followed by clonal read removal for the final data file for further analysis. GSM816665, raw data obtained from UCSC genome browser, https://genome.ucsc.edu/cgi-bin/hgFileUi?db=hg19&g=wgEncodeOpenChromDnase: wgEncodeOpenChromDnaseGm12878RawData_merged_unique_dfilter_peaks.bed.gz raw data files were merged, alignment with bowtie 1.3 using parameters, bowtie -n1 -k1 --best --chunkmbs 10240 --strata -l32 -m1 -p4 --nomaqround --sam, followed by clonal read removal for the final data file for further analysis. GSM864360, raw data obtained from UCSC genome browser, https://genome.ucsc.edu/cgi-bin/hgFileUi?db=hg19&g=wgEncodeOpenChromFaire: wgEncodeOpenChromFaireGm12878RawData_merged_unique_dfilter_peaks.bed.gz raw data files were merged, alignment with bowtie 1.3 using parameters, bowtie -n1 -k1 --best --chunkmbs 10240 --strata -l32 -m1 -p4 --nomaqround --sam, followed by clonal read removal for the final data file for further analysis. GSM736496, GSM736620, raw data obtained from UCSC genome browser, https://genome.ucsc.edu/cgi-bin/hgFileUi?db=hg19&g=wgEncodeUwDnase: wgEncodeUwDnaseGm12878RawData_merged_unique_dfilter_peaks.bed.gz

Project description:Summary Purpose: By means of high-throughput data analysis (high-throughput sequencing or next-generation sequencing -NGS-), we addressed the effect of the absence of Ikaros and the Notch pathway activation in mouse fetal liver erythroid cells. Specifically, the goals of this study are (i) to characterize the transcriptome of erythroid cells in the absence of Ikaros, when the Notch pathway is activated or not (by RNA-seq); (ii) to identify patterns in the modification of gene regulation according to the variable conditions; and (iii) to obtain information on mechanisms involved in the variation of gene regulation. Methods: Erythroid cells obtained from Ikaros wild type (WT) or Ikaros knockout (Null) mouse fetal livers at the embryonic stage e14.5. These cells were co-cultured for 48 h on OP9 or OP9-DL1 cells. mRNA profiles were generated by NGS, in biological triplicate, using Illumina cBot 2 System. The quality of the raw reads was assessed with FASTQC. Report show no pool imbalance. After examining the quality of the raw reads, no trimming was deemed necessary. The reads were aligned to the GRCm38/mm10 genome with TopHat. The raw alignment counts were calculated with htseq-count. DESeq2 calculates the differential expression of genes directly from the raw alignment counts calculated with htseq-count. The output from DESeq2 includes the raw counts normalized relative to the total number of reads. The log2 fold change is an estimate of the fold change between the conditions, based on the distribution of the reads. qRT-PCR validation was performed using specific primer sets in real-time PCR with SYBR Green. Results. Based on expression profiles, all samples clustered correctly. The differential expression analysis was perform with all samples. For subsequent analysis, 2452 differentially expressed genes were identified in Ikaros WT vs Ikaros null cells cultured on OP9 cells, using a log2 ≥ 1 and a p value <0.005. Additionally, 2847 differentially expressed genes were identified in Ikaros WT vs Ikaros Null cells cultured on OP9-DL1 cells, using a log2 ≥ 1 and a p value <0.005. Among genes activated by Notch (cells cultured on OP9-DL1), 616 genes were repressed in the absence of Ikaros (Ikaros Null vs WT cells; log2≥ -0.8 and a p value <0.005) and 1558 genes were overexpressed in in the absence of Ikaros (Ikaros Null vs WT cells: log2≥ 0.8 and a p value <0.005), using adjusted p value <0.005. Modified expression or immunoprecipitation of several gene transcripts was confirmed with qRT-PCR. Conclusions (Summary): The results obtained demonstrate that Ikaros can favour repression of Notch target genes but can also be required for proper activation on Notch targets upon Notch pathway activation.

Dataset Information

PHLPP1 promotes lipid accumulation through AMPK/ChREBP dependent lipid uptake and fatty acid synthesis pathway

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure