This SuperSeries is composed of the SubSeries listed below.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Specimen part, Disease
View SamplesMicroarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Specimen part, Disease
View SamplesMicroarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
No sample metadata fields
View SamplesTwenty one day old seedlings of the mutant and WT grown in hydroponic culture in three replications were subjected to 25% PEG stress for one hour. The leaf samples of stressed and control seedlings were collected and preserved in liquid nitrogen for RNA isolation. Total RNA from four samples i.e. mutant control (MC), mutant stress (MS), Nagina22 control (NC) and Nagina22 stress (NS) was extracted by following the manufacturer‰۪s instructions provided with SV Total RNA isolation system Kit (PROMEGA, USA). All the steps starting from cRNA preparation to hybridization were conducted following the instructions of Affymetrix (AffymetrixGeneChip Expression Analysis Technical Manual). Chips were washed and stained in the Affymetrix Fluidics Station 450, and then scanned using the Affymetrix Gene Chip Scanner 3000. The cell intensity data files (.CEL) generated by the Gene Chip Operating Software (GCOS 1.2).
Physiological, anatomical and transcriptional alterations in a rice mutant leading to enhanced water stress tolerance.
Specimen part
View SamplesSingle-cell RNA-Seq RNA from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007389 Overall design: Single-cell RNA-Seq from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5.
Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.
Specimen part, Subject
View SamplesJ14 ES cells differentiated into MGE-like cells. Three groups of single-cell preparations were analyzed: ES cells (undifferentiated), differentiated cells (unsorted, of which less than 10% are GFP+) and GFP+ differentiated cells. These are specified in the "group" sample characteristic, with values "ES", "Unsorted" and "GFP+" respectively. The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007904 Overall design: J14 ES cells differentiated into MGE-like cells
Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.
Cell line, Subject
View SamplesUnsupervised hierarchical clustering revealed a strong similarity in gene modulation resulting from either compound treatment or BRAF ablation mediated by RNA interference relative to DMSO-treated control samples .
Antitumor efficacy of the novel RAF inhibitor GDC-0879 is predicted by BRAFV600E mutational status and sustained extracellular signal-regulated kinase/mitogen-activated protein kinase pathway suppression.
No sample metadata fields
View SamplesQuetiapine is an atypical neuroleptic with a pharmacological profile distinct from classic neuroleptics. It is currently approved for treating patients with schizophrenia, major depression and bipolar I disorder. However, its cellular effects remain elusive.
Unique pharmacological actions of atypical neuroleptic quetiapine: possible role in cell cycle/fate control.
Sex, Treatment
View SamplesWe used microarrays to detail gene expression profile of several follicular lymphoma patient samples with different grades
Frequent disruption of the RB pathway in indolent follicular lymphoma suggests a new combination therapy.
Specimen part
View SamplesCancer-specific changes in DNA methylation can alter genetic stability, genomic structure, and gene expression. Promoter CpG island methylation can result in transcriptional silencing and plays an important role in the oncogenic process. We used genome-wide analysis to characterize the methylomes of breast cancers with diverse metastatic behavior. Here, we describe the identification of novel groups of breast tumors characterized by the presence or absence of coordinate hypermethylation at a large number of genes, demonstrating the existence of a breast-CpG island methylator phenotype (B-CIMP). B-CIMP imparts a distinct epigenomic profile and is a strong determinant of metastatic potential.
Breast cancer methylomes establish an epigenomic foundation for metastasis.
Specimen part
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