RNA-seq transcriptional profiling of wildtype and Pax5 knockout mouse pro-B cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE99153 | GEO | 2018/10/07
REPOSITORIES: GEO
Similar Datasets
Project description:Purpose: Understanding the Mechanism of Action of the Anti-Dandruff Agent Zinc Pyrithione against Malassezia restricta. Methods: The transcriptome profile of the ZPT-treated M. restricta cells compared to that of untreated cells were generated by RNA-Seq using Illumina HiSeq. Generated raw reads that passed quality filters were mapped to the reference genome. Mapped reads were counted by featureCounts in Subread package v1.4.3 and the relative transcript abundance was TPM-normalized. Results: A number of genes were differentially expressed in the ZPT-treated cells, which include genes involved in zinc transporter, mitochondirial function, TCA cycle, electron transport chain and lipase.
2018-12-25 | GSE112036 | GEO
Project description:Purpose: The aim of this study is to identify genes that are differentially expressed in the different basal cell populations defined by Lgr5 and Tspan8 (T8) expression from adult mouse mammary glands. Methods: Total RNA was extracted from sorted basal populations defined by Lgr5 and Tspan8 expression from the mammary glands of 10-week-old Lgr5-GFP-IRES-creERT2 female mice. Total RNA (50 ng) for each of the two biological replicates was used to generate libraries for whole-transcriptome analysis following Illumina's TruSeq RNA v2 sample preparation protocol. Libraries were sequenced on an Illumina HiSeq 2000 at the Australian Genome Research Facility (AGRF), Melbourne. At least 20 million 100 bp single-end reads were obtained for each sample. Reads were aligned to the mouse genome mm10 using Rsubread version 1.8.0. The number of reads overlapping each Entrez gene was counted using RefSeq gene annotation and featureCounts. Filtering and normalization used the edgeR package. Genes were filtered as unexpressed if their count per million (CPM) was less than 0.5 in fewer than 2 samples. Compositional differences between libraries were normalized using the trimmed mean of M-values (TMM) method. Differential expression was analyzed using the limma package. Counts were transformed to log2-CPM values with associated precision weights using voom. Differential expression was assessed using moderated t-statistics. Genes were considered to be differentially expressed if they achieved a false discovery rate of 5% and a fold-change in excess of 2.
2017-01-31 | GSE73111 | GEO
Project description:Purpose: Diffuse large B cell lymphomas (DLBCL) frequently harbor mutations in the histone acetyltransferase CREBBP, however their functional contribution to lymphomagenesis remains largely unknown. This study aims at elucidating and characterizing the molecular pathways affected by mutations in CREBBP. Methods: U2932, a DLBCL cell line that has wild type expression of CREBBP was manipulated by CRISPR-Cas9 strategy to mutate one allele of CREBBP and examine the pathways affected. RNA was isolated using the NucleoSping RNA Kit (Macherey-Nagel) from five wild type (CREBBP+/+) and five heterozygous clones (CREBBP+/-). RNA quality was assessed by Bioanalyzer 2100 followed by library preparation using the TruSeq RNA Sample Prep Kit v4 (Illumina). Sequencing was subsequently performed on the Illumina HiSeq 2500 instrument. RNA-seq reads were quality-checked with fastqc, which computes various quality metrics for the raw reads. RNA-seq reads were mapped to the GRCh38 reference human genome using STAR and reads were counted according to Ensembl gene annotation using the featureCounts function in the Rsubread Bioconductor package. Statistical analysis of differential expression was conducted with the DESeq2 package.
2016-11-16 | GSE89879 | GEO
Project description:This analysis aimed to identify differentially expressed genes in Cervical Cancer derived cell lines. The working cell lines were SiHa, HeLa and C33A. The non-tumorigenic HaCaT cell line was included as control. mRNA sequencing was performed on the Illumina NovaSeq 6000 platform by Novogene Bioinformatics Technology Co., Ltd, Beijing, China, with two independent replicate sequences for each cell model. Methodology: The execution of the bioinformatics pipeline analysis was carried out according to the following description: Rstudio (v2023.06.1+524) and Galaxy (https://www.usegalaxy.orgaccessed on 15 August 2023) open-source platforms were used to analyze the Illumina raw data. The Quality Check was conducted through the FastQC tool (v0.12.1). Afterward, all the reads were processed by the Rsubread package (v2.14.2); at that point, the reads were trimmed and aligned to the Human Genome Reference (GRCh38.p14 v43). The obtained output was: the BAM files, of which the number of reads was counted by the featureCounts tool (v2.0.3); at the final step, the Differential Expression Analysis was settled by the DESeq2 tool (v2.11.40.8). The differential gene expression measurements were normalized by DESeq2's median of ratios (median of ratio of gene counts relative to geometric mean per gene) method. All chemokine genes with an adjusted p-value (adj p) minus or equal to 0.05 and fold change (Log2FC) up to 2 or less than minus 2 were selected as differentially expressed genes (DEGs). Some genes from the resulting outputs were validated through qPCR. Conclusions: Our study found 5850 differentially expressed genes for SiHa cell lines, 6698 for HeLa, and 6707 for C33a.
2023-11-02 | GSE241703 | GEO
Project description:To better understand the mechanism by which MAGEA3 contributes to HCC progression, we conducted RNA sequencing in the PLC5 HCC cell line after 72 hours of treatment with scramble or sh8375 in triplicate. RNA-sequencing was conducted on poly-A enriched RNA, 100 bp single reads using an Illumina HiSeq2500 instrument. Libraries were constructed using the TruSeq RNA Library Prep Kit v2. Raw sequencing reads were mapped to the GRCh38 reference genome (USCS) using STAR (2.4.2g1). Aligned reads were mapped to GRCh38 genetic features using featureCounts from the subRead package with default settings. Data analysis included differential gene expression between conditions and gene set enrichment analysis.
2021-05-19 | E-MTAB-8860 | biostudies-arrayexpress
Project description:PAX5 transduction of Pax5-/- pro-B cells
| PRJNA414096 | ENA
Project description:This analysis was performed with the aim of finding the genes differentially expressed in fibroblasts transduced with the E6/E7 genes of HPV 16, 18, 38b, 107 and 122. The name given for the samples are as follows: FB-E6E7-16, FB-E6E7-18, FB-E6E7-38b, FB-E6E7-107, FB-E6E7-122, and for fibroblasts transduced with the empty lentiviral vector pLVX, they were referred as FB-pLVX. Methods: Library construction and Illumina NovaSeq 6000 sequencing was performed by Novogene Bioinformatics Technology Co., Ltd, Beijing, China, on HPV 16, 18, 38b, 107 and 122 E6E7 Transduced Fibroblasts; three independently mRNA sequences were performed for each of the cell models. Bioinformatics analyses were performed as follows: raw reads were analyzed using the open source Galaxy platform (https://www.usegalaxy.org) and RStudio software (2021.09.0). The quality of the reads was checked using the FastQC tool, and the Trimmomatic tool was used to remove ambiguous nucleotides. Subsequently, all clean reads were mapped to the human genome reference (hg38 vs 38) using Rsubread for RStudio. Once all BAM files were obtained, reads were counted using the featureCounts tool, and gene expression analysis was performed using the DESeq2 tool. The gene expression level was normalized using the fragments per kilobase of transcript per million mapped reads (FPKM) method. Data validation was performed by real-time PCR. Conclusions: Our study represents the first analysis of genes differentially expressed by the E6/E7 proteins of HPV genus Beta-2 (38b, 107 and 122), through RNA-seq technology. This study shows the transforming potential that genotypes of the Beta-2 genus, especially HPV122, also possess. These Beta-2 HPVs can modulate some of the genes that are well known to be regulated by Alpha-HPVs 16 and 18.
2022-07-21 | GSE191090 | GEO
Project description:This analysis aimed to identify differentially expressed genes in non-tumorigenic keratinocytes transduced with E6/E7 oncogenes of HPV16 or 18. The working cell models were named HaCaT E6/E7 HPV16, HaCaT E6/E7 HPV18, and HaCaT pLVX (empty lentiviral vector) as controls. mRNA sequencing was performed on the Illumina NovaSeq 6000 platform by Novogene Bioinformatics Technology Co., Ltd, Beijing, China, with two independent replicate sequences for each cell model. Methodology: The bioinformatics pipeline analysis was executed as described below: Rstudio (v2023.06.1+524) and Galaxy (https://www.usegalaxy.orgaccessed on 15 August 2023) open-source platforms were used to analyze the Illumina raw data. The Quality Check was performed through the FastQC tool (v0.12.1); afterward, all the reads were processed by the Rsubread package (v2.14.2); at that point, the reads were trimmed and aligned to the Human Genome Reference (GRCh38.p14 v43). The resulting output was the BAM files, of which the number of reads was counted by the featureCounts tool (v2.0.3); at the final step, the Differential Expression Analysis was settled by DESeq2 tool (v2.11.40.8). The differential gene expression measurements were normalized by DESeq2´s median of ratios (median of ratio of gene counts relative to geometric mean per gene) method. All chemokine genes with an adjusted p-value (adj p) ≤ 0.05 and fold change (Log2FC) > 1 .5 or < -1.5 were selected as differentially expressed genes (DEGs). Some genes from the resulting outputs were validated through qPCR. Conclusions: Our study found 3296 differentially expressed genes in HaCaT E6/E7 HPV16 and 1943 in HaCaT E6/E7 HPV18. These results suggest that E6/E7 oncogenes from HPV16 and 18 can broadly modify transcriptomic expression.
2023-11-02 | GSE241704 | GEO
Project description:The goal of this study is to perform RNAseq in different sub-types of the zebrafish embryonic dorsal aorta (DA) at 28-30 hpf using TgBAC(runx1P2:Citrine);Tg(kdrl:mCherry) double-transgenic zebrafish embryos. A min. of 3000 cells per population were collected via FACS. RNA was isolated with the RNeasy Plus Micro Kit (QIAGEN, Cat No. 74034). High quality RNA (RIN > 8.0) was sent for RNAseq to the Wellcome Trust Centre for Human Genetics (WTCHG). 2.2 ng of total RNA was used to generate SMARTer libraries for low-input RNA. Sequencing was performed on an Illumina HiSeq4000 machine with a 75 bp paired end protocol. Sequenced reads were checked for base qualities, trimmed where 20% of the bases were below quality score 20, and filtered to exclude adapters using Trimmomatic (Version 0.32). Sequences were aligned to the Zebrafish Genome Zv10 with STAR with default parameters. Aligned read features were counted using Subread tool: featureCounts method (version 1.4.5-p1). To determine number of mapped reads we used the trimmed data. The alignment has been performed using STAR with default parameters. The number of mapped reads (QC-passed reads count) has been obtain using Samtools mapping statistics (flagstat tool).
2019-06-06 | GSE132259 | GEO
Project description:Pax5 controls B-cell commitment, development and immunity by repressing B-lineage-inappropriate genes and activating B-cell-specific genes. In addition to the N-terminal DNA-binding paired domain, Pax5 contains a conserved octapeptide, partial homeodomain and C-terminal sequences with transactivating and inhibitory potential. To understand how the C-terminal domains of Pax5 contribute to the repression and activation function of Pax5, we performed Pax5 pulldown combined with mass spectrometry to identify coactivator or corepressor complexes that bind to the C-terminal regions of Pax5.
2023-08-24 | PXD040424 | Pride