While the hypothalamo-pituitary-adrenal axis (HPA) activates a general stress response by increasing glucocorticoid (Gc) synthesis, biological stress resulting from infections triggers the inflammatory response through production of cytokines. The pituitary gland integrates some of these signals by responding to the pro-inflammatory cytokines IL6 and LIF and to a negative Gc feedback loop. The present work used whole-genome approaches to define the LIF/STAT3 regulatory network and to delineate cross-talk between this pathway and Gc action. Genome-wide ChIP-chip identified 3 449 STAT3 binding sites, whereas 2 396 genes regulated by LIF and/or Gc were found by expression profiling. Surprisingly, LIF on its own changed expression of only 85 genes but the joint action of LIF and Gc potentiated the expression of more than a thousand genes. Accordingly, activation of both LIF and Gc pathways also potentiated STAT3 and GR recruitment to many STAT3 targets. Our analyses revealed an unexpected gene cluster that requires both stimuli for delayed activation: 83% of the genes in this cluster are involved in different cell defense mechanisms. Thus, stressors that trigger both general stress and inflammatory responses lead to activation of a stereotypic innate cellular defense response.
Regulatory network analyses reveal genome-wide potentiation of LIF signaling by glucocorticoids and define an innate cell defense response.
Specimen part, Time
View SamplesWe studied alterations in gene expression profiles of the MCF7 human breast cancer cells caused by bisphenol A, bisphenol AF and glyphosate using Illumina RNA sequencing platform. Overall design: Examination of endocrine disrupting effects of xenobiotics using the MCF7 cell line
Editor's Highlight: Transcriptome Profiling Reveals Bisphenol A Alternatives Activate Estrogen Receptor Alpha in Human Breast Cancer Cells.
Specimen part, Cell line, Subject
View SamplesPitx1, critical regulator of a limited hindlimb-specific gene network, targets the limb development program common to both fore- and hindlimbs in order to implement hindlimb-specific limb morphology. Overall design: The gene regulatory networks governing forelimb vs. hindlimb development in mouse were investigated using expressing profiling of morphologically stage-matched e10.5 forelimbs and e11.0 hindlimbs, ChIPseq of chromatin marks, and ChIPseq of limb-specific transcription factors Pitx1 and Tbx5. The makeup of the Pitx1-directed components of the hindlimb gene network were investigated using expression profiling of Pitx1 null hindlimbs at two stages (e11.0 and e11.5).
Regulatory integration of Hox factor activity with T-box factors in limb development.
Specimen part, Cell line, Subject
View SamplesDeployment of a cell-specifying enhancer repertoire by the pioneer factor Pax7 The establishment and maintenance of cell identity depends on implementation of stable cell-specific chromatin landscapes. Pioneer transcription factors establish new cell fate competences by triggering chromatin remodeling during development. Here, we used pituitary cell specification to define the salient features of pioneer action. Comparison of purified pituitary cells of different lineages showed that chromatin accessibility differs at enhancers rather than promoters. The pioneer factor Pax7 specifies one pituitary lineage identity by opening a specific repertoire of enhancers that are distinct from the myogenic targets of Pax7. Pax7 binds its pioneer targets rapidly and days before chromatin remodeling and gene activation. Finally, enhancers opened by Pax7-dependent chromatin remodeling exhibit loss of DNA methylation and they acquire long term epigenetic memory. The present work identifies enhancer pioneering as a critical feature for cell fate specification and maintenance. Overall design: RNA extraction followed by high throughput sequencing (RNA-seq)
Pioneer factor Pax7 deploys a stable enhancer repertoire for specification of cell fate.
Specimen part, Cell line, Treatment, Subject
View SamplesThe combinatorial expression of the Hox genes along the body axes, referred to as the HOX code, is a major determinant of cell fate and plays a prevailing role in generating the animal body plan. In developing limb buds, the paralogous group 13 genes of the HoxA and HoxD clusters are essential for patterning the distal-most limb structures, the digits. Inactivation of HOXA13 and HOXD13 transcription factors (HOX13) leads to complete digit agenesis in mice, but how HOX13 regulate transcriptional outcomes and confer identity to the distal-most limb cells has remained elusive. Here we performed genome-wide profiling of HOX13 by chromatin immunoprecipitation and analyzed the transcriptome and chromatin state of wild type early and late-distal limb buds, as well as Hoxa13-/-;Hoxd13-/- compound mutant limb buds. Our results show that inactivation of HOX13 impairs the activation and repression of putative cis-regulatory modules specific to the late-distal limb cells. Loss of HOX13 also disrupts the specific, spatial patterning of gene expression along the proximal-distal axis of the developing limb buds. These results show that proper termination of the early limb transcriptional program and activation of the late-distal limb program are coordinated by the dual action of HOX13 on cis-regulatory modules. Overall design: Totla mRNAs from dissected distal parts of e11.5 forelimb, of wild-type as well as Hoxa13-/-;Hoxd13-/- mice
Regulatory integration of Hox factor activity with T-box factors in limb development.
Specimen part, Cell line, Subject
View SamplesRenal failure is characterized by important biological changes resulting in profound pleomorphic physiological effects termed uremia, whose molecular causation is not well understood. The data was used to study gene expression changes in uremia using whole genome microarray analysis of peripheral blood from subjects with end-stage renal failure (n=63) and healthy controls (n=20) to obtain insight into the molecular and biological causation of this syndrome.
Alteration of human blood cell transcriptome in uremia.
Sex, Specimen part, Disease, Disease stage, Race
View SamplesGlyphosate-based herbicides are the major pesticides used worldwide. There is an intense debate on the estrogenic effects of their ingredients. We have compared the estrogenic effects of glyphosate (the active principle), polyethoxylated tallowamine (a co-formulant), and a commercial formulations containing different co-formulants to those of estradiol and bisphenol A in the MCF-7 human breast cancer cell line. The gene expression profiles were determined using the Affymetrix Human Transcriptome 2.0 Array.
Evaluation of estrogen receptor alpha activation by glyphosate-based herbicide constituents.
Cell line, Treatment
View SamplesAcute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.
White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.
No sample metadata fields
View SamplesRegulation of cell-cell junction formation and regulation of cell migration were enriched among EMT (Epithelial-Mesenchymal Transition)-associated alternatively splicing events. Our analysis suggested that most EMT-associated alternative splicing events are regulated by one or more members of the RBFOX, MBNL, CELF, hnRNP or ESRP classes of splicing factors. The EMT alternative splicing signature was confirmed in human breast cancer cell lines, which could be classified into basal and luminal subtypes based exclusively on their EMTassociated splicing pattern. Expression of EMT-associated alternative mRNA transcripts was also observed in primary breast cancer samples, indicating that EMT-dependent splicing changes occur commonly in human tumors. The functional significance of EMT-associated alternative splicing was tested by expression of the epithelial-specific splicing factor ESRP1 or depletion of RBFOX2 in mesenchymal cells, both of which elicited significant changes in cell morphology and motility towards an epithelial phenotype, suggesting that splicing regulation alone can drive critical aspects of EMT-associated phenotypic changes. The molecular description obtained here may aid in the development of new diagnostic and prognostic markers for analysis of breast cancer progression. Overall design: Examination of transcriptomes of HMLE/Twist-ER before and after induction of EMT by tamoxifen
An EMT-driven alternative splicing program occurs in human breast cancer and modulates cellular phenotype.
No sample metadata fields
View SamplesBronchial epithelial cells represent the first line of defense against invading airborne pathogens. They are important contributors to innate mucosal immunity and provide a variety of anti-microbial effectors. To investigate the role of epithelial cells upon infection of airway pathogens, we stimulated BEAS-2B cells for 4 h with UV-inactivated bronchial pathogens including Staphylococcus aureus, Pseudomonas aeruginosa and Respiratory Syncitial Virus (RSV) that among other receptors can strongly activate TLR2, TLR4 and TLR3, respectively.
Differential recognition of TLR-dependent microbial ligands in human bronchial epithelial cells.
No sample metadata fields
View Samples