Persistent bronchial dysplasia (BD) is associated with increased risk of developing invasive squamous cell carcinoma (SCC) of the lung. We hypothesized that differences in gene expression profiles between persistent and regressive BD would identify cellular processes that underlie progression to SCC. RNA expression arrays (Affymetrix Hu 1.0) comparing baseline biopsies from 32 bronchial sites that persisted/progressed to 31 regressive sites showed 395 differentially expressed genes (ANOVA, FDR</=0.05). Thirty-one pathways showed statistically significant evidence of altered activity between the two groups. Multiple pathways were associated with cell cycle control/proliferation, inflammation, or epithelial differentiation/cell-cell adhesion. Polo-like kinase 1 (PLK1) was associated with multiple cell cycle pathways. Cultured persistent BD cells showed increased PLK1 expression, and following treatment with PLK1 inhibitor, showed induction of apoptosis, G2/M phase arrest and decreased proliferation compared to untreated cells. These effects were not seen in normal or regressive BD cultures. Inflammatory pathway activity was decreased in persistent BD and the presence of an inflammatory infiltrate was more common in regressive BD. Regressive BDs were also associated with trends toward overall increases in macrophages and T-lymphocytes and altered polarization of these inflammatory cell subsets. Increased desmoglein 3 and plakoglobin expression was associated with higher grade and persistence of BD. The results identify alterations in cell cycle control, inflammatory activity, and epithelial differentiation/cell-cell adhesion in the persistent subset of BDs that are associated with high risk for progression to invasive SCC. These pathways may provide strong markers of risk and effective targets for lung cancer prevention.
Altered Cell-Cycle Control, Inflammation, and Adhesion in High-Risk Persistent Bronchial Dysplasia.
Age, Specimen part
View SamplesEquine lameller tissues were collected to compare normal vs laminitis generated differences in transcriptom level.
Gene expression in the lamellar dermis-epidermis during the developmental phase of carbohydrate overload-induced laminitis in the horse.
No sample metadata fields
View SamplesThis dataset was created to study M-CSF dependent in vitro differentiation of human monocytes to macrophages as a model process to demonstrate that independent component analysis (ICA) is a useful tool to support and extend knowledge-based strategies and to identify complex regulatory networks or novel regulatory candidate genes.
Analyzing M-CSF dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis.
Specimen part
View SamplesThe Structural Maintenance of Chromosomes (SMC) complexes regulate the chromosome structures essential for proper genome regulation and cell viability. In mammals, the coordinated actions of the SMC complexes condensin I, condensin II and cohesin regulate dynamic chromosome structures throughout the cell cycle, but it is not clear how these complexes are positioned across the genome. We report here that condensin I, condensin II and cohesin occupy active euchromatic regions of the embryonic stem cell genome, but not heterochromatic regions. Like cohesin, we find that condensin II is deposited at active genes by the SMC loading factor Nipbl. The recruitment of Condensin II to active genes is dependent on their transcriptional activation. Subsequent transcriptional elongation by RNA polymerase II distributes condensin II across gene bodies. During mitosis, condensin I occupies the same set of active genes occupied by condensin II during interphase. Thus, SMC complexes are positioned in the genome by transcription-dependent processes, indicating that condensin-dependent condensation mechanisms are preferentially utilized in euchromatic regions. Overall design: RNA-seq in mES cells after known-down of Smc1, CapH2 or Smc2.
Multiple structural maintenance of chromosome complexes at transcriptional regulatory elements.
Specimen part, Subject
View SamplesThe DNA methyl transferase inhibitor decitabine regulates gene expression in cancer cells.
Decitabine Enhances Lymphocyte Migration and Function and Synergizes with CTLA-4 Blockade in a Murine Ovarian Cancer Model.
Specimen part, Cell line
View SamplesSummary:
HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.
No sample metadata fields
View SamplesHEK293 cells were transfected with control plasmid (pcDNAI/Neo;Invitrogen) or with the plasmid encoding HCaRG. Stable transfectants were synchronized and grown in the presence of 10% FBS for 48 h. Total RNAs were purified with the mini RNeasy kit (Qiagen).
HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.
No sample metadata fields
View SamplesYeast cell cycle transcription dynamics in two S. cerevisae strains grown at 37C: BF264-15DU (MATa ade1 his2 leu2-3, 112 trp1-1 ura3Dns, bar1) (wild type) and a mutant of the wild type strain lacking all Cdk1 activity, cdc28-4.
Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network.
Time
View SamplesTranscriptional programs that regulate development are exquisitely controlled in space and time. Elucidating these programs that underlie development is essential to understanding the acquisition of cell and tissue identity. We present microarray expression profiles of a high resolution set of developmental time points within a single Arabidopsis root, and a comprehensive map of nearly all root cell-types. These cell-type specific transcriptional signatures often predict novel cellular functions. A computational pipeline identified dominant expression patterns that demonstrate transcriptional connections between disparate cell types. Dominant expression patterns along the roots longitudinal axis do not strictly correlate with previously defined developmental zones, and in many cases, expression fluctuation along this axis was observed. Both robust co-regulation of gene expression and potential phasing of gene expression were identified between individual roots. Methods that combine these two sets of profiles demonstrate transcriptionally rich and complex programs that define Arabidopsis root development in both space and time.
A high-resolution root spatiotemporal map reveals dominant expression patterns.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Addiction of t(8;21) and inv(16) acute myeloid leukemia to native RUNX1.
Cell line
View Samples