ChIP-seq analysis for HDAC2 in Caco2 cells infected with vector or PIM1
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA980138 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24835314_1.fastq.gz | Fastqsanger.gz | |||
| SRR24835314_2.fastq.gz | Fastqsanger.gz | |||
| SRR24835315_1.fastq.gz | Fastqsanger.gz | |||
| SRR24835315_2.fastq.gz | Fastqsanger.gz | |||
| SRR24835316_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
Similar Datasets
Project description:PIM1 is constitutively active and involved in various cellular processes, including cell survival, proliferation, and differentiation by phosphorylating a wide range of substrates. We investigated whether PIM1 is involved in the pathogenesis of ulcerative colitis (UC).We performed RNA sequencing analysis in Caco2 cells infected with vector or PIM1 to study the molecular mechanisms through which PIM1 regulates goblet cell numbers.
2024-07-30 | GSE234122 | GEO
Project description:PIM1 is constitutively active and involved in various cellular processes, including cell survival, proliferation, and differentiation by phosphorylating a wide range of substrates. We investigated whether PIM1 is involved in the pathogenesis of ulcerative colitis (UC).We performed ChIP-seq analysis for HDAC2 to study the molecular mechanisms through which PIM1 regulates goblet cell numbers.
2024-07-30 | GSE234117 | GEO
Project description:RNA sequencing analysis in Caco2 cells infected with vector or PIM1
| PRJNA980155 | ENA
Project description:PC-3 cells stably transfected with PIM1 overexpressing vector and transiently transfected with wt or multi-mutant NFATC1 overexpressing vector
2018-09-19 | GSE120133 | GEO
Project description:Purpose: The goals of this study are to monitor the evolution pattern of SARS-CoV2 in depending host cells by viral transcriptome sequencing analysis of Vero, A549, Caco2, and HRT18 cells infected with SARS-CoV2. Methods: SARS-CoV-2 isolate was passaged 4 time on Vero cells and used to extract RNA for the high-throughput sequencing. The 8×104 PFU of SARS-CoV2 stocks passaged on vero cells were inoculated to the monolayer of A549, CaCO2, and HRT-18 cell lines in 75T flask for 1hour at 37℃ in a 5% CO2 incubator with gentle shaking of 15 minutes interval. After that, the infected cells were washed two times with DPBS and incubated with the fresh maintenance medium for 3 days. The virus inoculation was performed in triplicate for each cell lines. In case of the first passage, the infected cell pellets were resuspended to 250µl with fresh medium, to extract RNA for the high-throughput sequencing. The cultured cell supernatant of the virus-infected A549, CaCO2, and HRT18 cells was centrifuged at 3,000g for 10min to use for the next passage, and stored at -80℃. The serial passage of SARS-CoV-2 on A549, CaCO2, and HRT18 cell lines were continued to passage 12 and the cultured cell supernatant of the infected cells in passage 12 was centrifuged at 3,000g for 10 min, and used to extract RNA for the high-throughput sequencing. The RNA samples were sequenced with illumine TruSeq Strand Total RNA LT kit and illumine NovaSeq6000 plaform form Macrogen, Inc (Seoul, Korea) for high throughput sequencing. The raw reads were trimmed with BBDuk and mapped the isolate SARS-CoV-2/human/KOR/KCDC03-NCCP43326/2020 (Genebank accession number. MW466791) with Bowtie 2 using Geneious program 2021.2.2 Result: Using SNP analysis workflow, our result showed the sequence variations pattern of SARS-CoV2 depending on host cell (A549, CaCO2, and HRT18 cell lines) and it was confirmed that a relatively large number of SNPs were commonly observed in spike protein. Some SNPs affect amino acid changes, and a common pattern of amino acid changes was observed the genomic sequence of SARS-CoV2 passaged in A549, CaCO2 and HRT18 cells. Conclusion: In this study, we tried to monitor the SARS-CoV-2 (GenBank accession No. MW466791 in 2020, Korea) evolution pattern in different host cells using high throughput sequencing analysis, and compare the selected mutations by each host cells with natural mutations found in currently circulating SARS-CoV-2 variants.
2021-12-09 | GSE190350 | GEO
Project description:Transcriptional profiling of Caco2 cells infected with Encephalitizoon intestinalis
| PRJNA703989 | ENA
Project description:Background: PIM1 is a constitutively active serine-threonine kinase regulating cell survival and proliferation. Increased PIM1 expression has been correlated with cancer metastasis by facilitating migration and anti-adhesion. Endothelial cells play a pivotal role in these processes by contributing a barrier to the blood stream. Here, we investigated whether PIM1 regulates mouse aortic endothelial cell (MAEC) monolayer integrity. Methods: Pim1-/-MAEC were isolated from Pim1 knockout mice and used in trypsinization-, wound closure assays, electrical cell-substrate sensing, immunostaining, cDNA transfection and as RNA source for microarray analysis. Results: Pim1-/-MAEC displayed decreased migration, slowed cell detachment and increased electrical resistance across the endothelial monolayer. Reintroduction of Pim1- cDNA into Pim1-/-MAEC significantly restored wildtype adhesive characteristics. Pim1-/--MAEC displayed enhanced focal adhesion and adherens junction structures containing vinculin and M-NM-2-catenin, respectively. Junctional molecules such as Cadherin 13 and matrix components such as Collagen 6a3 were highly upregulated in Pim1-/- cells. Intriguingly, extracellular matrix deposited by Pim1-/- cells alone was sufficient to induce the hyperadhesive phenotype in wildtype endothelial cells. Conclusion: Loss of Pim1 induces a strong adhesive phenotype by enhancing endothelial cell-cell and cell-matrix adhesion by the deposition of a specific extracellular matrix. Targeting PIM1 function therefore might be important to promote endothelial barrier integrity. Pim-1-/- mouse aortic endothelial cells were compared to wildtype cells
2012-10-29 | E-GEOD-32059 | biostudies-arrayexpress
Project description:To determine the effect of prohibitin overexpression on global gene expression in Caco2-BBE intestinal epithelial cells. 4 individual wells of Caco2-BBE cells, passage 41, were transfected with either empty vector (pcDNA4) or prohibitin/pcDNA4 for 72 hours. Total RNA isolated from 4 wells of cells/per treatment were pooled together for labeling and hybridization purposes.
2010-06-19 | E-GEOD-12605 | biostudies-arrayexpress
Project description:It has been estimated that about 11% of cellular genes present a functional E box to which MYC can associate on the genome. MYC silencing demonstrated that MYC recruits PIM1 at specific MYC binding sites and confocal microscopy following growth factor treatment, showed an elevated degree of nuclear co-localization of PIM1 with nascent transcripts and with MYC suggesting that PIM1 is recruited by MYC to a large number of sites. To understand the actual extension of PIM1 and MYC co-operation in gene transcription we performed expression profile analysis of 293 cells silenced either for MYC or PIM1 at 120 minutes after serum treatment. MYC silencing affected the expression of 1026 genes of which 818 were up-regulated and 208 were down-regulated. Comparison of genes regulated by MYC with those regulated by PIM1, by RNAi silencing, showed that PIM1 contributes to the regulation of 207 genes out of the 1026 MYC-regulated genes. Thus, a subset of 20% of MYC-regulated genes, are also regulated by PIM1. The co-regulated includes genes involved in cell metabolism, protein synthesis, cycle progression, and oncogenesis. Interestingly, a large number of genes are transcriptional factors, which suggests that PIM1 participates in MYC-dependent regulatory networks. Experiment Overall Design: The gene expression analysis was performed by hybridizing RNA samples to the Whole Human Genome Oligo Microarray from Agilent Technologies. Samples were obtained from 293 cells, treated with serum for 120 minutes, expressing either two independent MYC shRNA (shMYC#1 and shMYC#2) or their relative scrambled shRNA (shsM#1 and shsM#2) for MYC expression analysis; two independent PIM1 shRNA (shPIM1#1 and shPIM1#2) or their relative scrambled shRNA (shsP#1 and shsP#2) for PIM1 expression analysis.
2008-06-15 | E-GEOD-7960 | biostudies-arrayexpress
Project description:It has been estimated that about 11% of cellular genes present a functional E box to which MYC can associate on the genome. MYC silencing demonstrated that MYC recruits PIM1 at specific MYC binding sites and confocal microscopy following growth factor treatment, showed an elevated degree of nuclear co-localization of PIM1 with nascent transcripts and with MYC suggesting that PIM1 is recruited by MYC to a large number of sites. To understand the actual extension of PIM1 and MYC co-operation in gene transcription we performed expression profile analysis of 293 cells silenced either for MYC or PIM1 at 120 minutes after serum treatment. MYC silencing affected the expression of 1026 genes of which 818 were up-regulated and 208 were down-regulated. Comparison of genes regulated by MYC with those regulated by PIM1, by RNAi silencing, showed that PIM1 contributes to the regulation of 207 genes out of the 1026 MYC-regulated genes. Thus, a subset of 20% of MYC-regulated genes, are also regulated by PIM1. The co-regulated includes genes involved in cell metabolism, protein synthesis, cycle progression, and oncogenesis. Interestingly, a large number of genes are transcriptional factors, which suggests that PIM1 participates in MYC-dependent regulatory networks. Keywords: expression profiles
2007-07-31 | GSE7960 | GEO