Coordinated regulation of protection mechanisms against environmental abiotic stress and pathogen attack is essential for plant adaptation and survival. Initial abiotic stress can interfere with disease resistance signaling. Conversely, initial plant immune signaling may interrupt subsequent ABA signal transduction. However, the processes involved in cross talk between these signaling networks have not been determined. By screening a 9,600 compound chemical library, we identified a small molecule [5-(3,4-Dichlorophenyl)Furan-2-yl]-Piperidin-1-ylMethanethione that rapidly down-regulates ABA-dependent gene expression and also inhibits ABA-induced stomatal closure. Transcriptome analyses show that DFPM also stimulates expression of plant defense-related genes. Plate grown 12-day-old seedlings were transferred into 6 well plates with 1:5000 (V/V) DMSO in water as a control, 30uM DFPM, and 10uM ABA in water as a treatment for 6 hours. DFPM was added 30 min prior to ABA treatment. RNA was extracted using Trizol (Invitrogen, Carlsbad, CA, USA) and further purified using RNeasy Plant RNA purification kit (QIAgen, Valencia, CA, USA). Three biological replicates of ATH1 oligonucleotide arrays were hybridized with labeled samples from 1) wild-type Columbia (WT) untreated, 2) WT with 30uM DFPM treatment, 3) WT with 10uM ABA treatment, 4) WT with 30uM DFPM and 10uM ABA treatment. Each biological replicate was prepared by combining 7 independently-treated samples.
Chemical genetics reveals negative regulation of abscisic acid signaling by a plant immune response pathway.
Age
View SamplesHsp90 is critical for regulation of the phenotype and functional activity of human T lymphocytes and natural killer (NK) cells.
Heat shock protein 90 is critical for regulation of phenotype and functional activity of human T lymphocytes and NK cells.
Specimen part, Treatment
View SamplesRoom temperature whole blood mRNA stabilization procedures, such as the PAX gene system, are critical for the application of transcriptional analysis to population-based clinical studies. Global transcriptome analysis of whole blood RNA using microarrays has proven to be challenging due to the high abundance of globin transcripts that constitute 70% of whole blood mRNA in the blood. This is a particular problem in patients with sickle-cell disease, secondary to the high abundance of globin-expressing nucleated red blood cells and reticulocytes in the circulation . In order to more accurately measure the steady state whole blood transcriptome in sickle-cell patients, we evaluated the efficacy of reducing globin transcripts in PAXgene stabilized RNA samples for genome-wide transcriptome analyses using oligonucleotide arrays. We demonstrate here by both microarrays and Q-PCR that the globin mRNA depletion method resulted in 55-65 fold reduction in globin transcripts in whole blood collected from healthy volunteers and sickle-cell disease patients. This led to an improvement in microarray data quality with increased detection rate of expressed genes and improved overlap with the expression signatures of isolated peripheral blood mononuclear (PBMC) preparations. The differentially modulated genes from the globin depleted samples had a higher correlation coefficient to the 112 genes identified to be significantly altered in our previous study on sickle-cell disease using PBMC preparations. Additionally, the analysis of differences between the whole blood transcriptome and PBMC transcriptome reveals important erythrocyte genes that participate in sickle-cell pathogenesis and compensation. The combination of globin mRNA reduction after whole-blood RNA stabilization represents a robust clinical research methodology for the discovery of biomarkers for hematologic diseases and in multicenter clinical trials investigating a wide range of nonhematologic disorders where fractionation of cell types is impracticable.
Characterization of whole blood gene expression profiles as a sequel to globin mRNA reduction in patients with sickle cell disease.
Specimen part, Subject
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Subject
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Subject
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq. This series includes uninfected, non-transformed MEFs.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Subject
View SamplesTo study effects of IFNalpha treatment on monocyte-derived macrophages which may influence susceptibility or resistance to HIV.
Interleukin-27 inhibition of HIV-1 involves an intermediate induction of type I interferon.
Specimen part
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Subject
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq. This series includes reprogrammed MEFs with Myod1, day 7.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Cell line, Subject
View SamplesReprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.
Rational Reprogramming of Cellular States by Combinatorial Perturbation.
Specimen part, Subject
View Samples