Project description:c-jun conditional knockout mice (c-jun?li) and relative controls (c-junf/f) were treated with TCPOBOP (3mg/Kg of body weight) and were sacrificed at 0, 1, 3 and 6 hours later. Gene expression analysis was performed on total RNA pools extracted from fresh frozen livers of 3 animals per group. For each time point 4 technical replicates were analyzed except for the 6 hours samples which were in triplicate.

2011-03-04 | E-TABM-935 | biostudies-arrayexpress

Network Analysis Reveals a Novel Role for the AP-1 Transcription Factor JUNB in Classical and Alternative Macrophage Activation

Project description:Bone marrow-derived macrophages were generated from wild type and Junb knockout mice and tested for their responses to LPS treatment. Independent replicate wells from wild type and knockout bone marrow-derived macrophages were mock-treated or LPS-treated. RNA was isolated at 4 h post-treatment, amplified, and hybridized to Agilent Mouse 8x60k microarrays as a single color experiment.

2014-12-22 | E-GEOD-50542 | biostudies-arrayexpress

Essential role of Jun family transcription factors in PU.1-induced leukemic stem cells

Project description:Knockdown of the transcription factor PU.1 (Spi1) leads to acute myeloid leukemia (AML) in mice. We examined the transcriptome of PU.1 knockdown hematopoietic stem cells (HSC) in the preleukemic phase by linear amplification and genome-wide array analysis to identify transcriptional changes preceding malignant transformation. Hierarchical cluster analysis and principal component analysis clearly distinguished PU.1 knockdown from wildtype HSC. Jun family transcription factors c-Jun and JunB were among the top downregulated targets. Retroviral restoration of c-Jun expression in bone marrow cells of preleukemic mice partially rescued the PU.1-initiated myelomonocytic differentiation block. Lentiviral restoration of JunB at the leukemic stage led to reduced clonogenic growth, loss of leukemic self-renewal capacity, and prevented leukemia in transplanted NOD-SCID mice. Examination of 305 AML patients confirmed the correlation between PU.1 and JunB downregulation and suggests its relevance in human disease. These results delineate a transcriptional pattern that precedes the leukemic transformation in PU.1 knockdown HSC and demonstrate that decreased levels of c-Jun and JunB contribute to the development of PU.1-induced AML by blocking differentiation (c-Jun) and increasing self-renewal (JunB). Therefore, examination of disturbed gene expression in HSC can identify genes whose dysregulation is essential for leukemic stem cell function and are targets for therapeutic interventions. Keywords: genetic modification

2006-10-15 | GSE5654 | GEO

JUN and JUN/ATF3 knockout EoL-1 RNA-seq

Project description:To study the effect of knocking out transcription factor JUN or both JUN and ATF3 in EoL-1 cells

2025-09-02 | GSE287704 | GEO

Expression profiling in Wild-type and C-JUN knockout MEFs treated with IFNgamma and cycloheximide

Project description:STAT1 is the major transcription factor (TF) driving response to exposure to IFNg. C-JUN is a TF which has been shown to bind with STAT1 and act as a partner TF. We have expression profiled WT and CJUN-/- MEFs in order to determine the set of IFNg genes regulated by STAT1 and C-JUN. This study was designed primarily to test the accuracy of in silico cis-regulatory module prediction algorithm called SCRM. The set of genes differentially expressed after IFNg are likely to be targets of the TF STAT1. A subset of these genes will also be targeted by partner TFs of STAT1 (e.g. C-JUN). By measuring the expression of the WT IFNg responsive genes in a C-JUN-/- model, the subset of genes that are regulated by C-JUN can be ascertained. This set of genes can then be compared against those predicted to be regulated by C-JUN using the in silico approach SCRM, and therefore the accuracy of the in silico predictions can be determined. Cells were treated with both IFNg and cycloheximide (CHX) to determine direct target genes of the TF STAT1. CHX was added to reduce the downstream response of IFNg treatment (via inhibition of protein synthesis) , resulting in a high quality list of genes directly targeted by STAT1. CHX treatment also allowed for a longer (3hr rather than 1hr) IFNg treatment time, resulting in a more robust IFNg gene signature. Microarrays were analysed using the aroma package in R and the differentially expressed genes were determined through analysis using the limma package. Genes were ranked based on the FDR adjusted p-value calculated using a t-test between IFNg + CHX treated cells and untreated cells (in both WT and C-JUN-/- MEFs). Significantly upregulated genes (P<0.05) were considered direct targets of STAT1.

2012-03-20 | E-GEOD-26205 | biostudies-arrayexpress

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