The cell-type origin has long been suspected to determine molecular features of tumors but has proven difficult to experimentally validate in human breast cancers because of deficiencies in culturing methods that allow propagation of three major cell types of the breast including stem/basal, luminal-progenitor and mature/differentiated cells. We have created immortalized cell lines from core breast biopsies of ancestry-mapped healthy women that are enriched for luminal gene expression including hormonally sensitive ERa-FOXA1-GATA3 transcription factor network. Gene expression pattern followed by intrinsic subtype classification identified these cell lines as “normal” counterpart to luminal A, basal, and normal-like subtypes of breast cancers. We have also created cell lines from CD201+/EpCAM- cells that are likely “normal” counter part of claudin-low subtype of breast cancers. These cell lines serve as good resources as “normal” cell line controls for breast cancer-related studies. Overall design: We propagated breast epithelial cells from breast core biopsies of healthy women using the epithelial reprogramming assay (Nakshatri et al., Scientific Reports, 5:13526). Primary cells were immortalized using human telomerase (hTERT). RNA from immortalized cells in triplicates was subjected to RNA-seq and results are included. hTERT immortalized HME cells from Horizon Discovery, MCF10A cells from ATCC and MCF7 breast cancer cells from ATCC were used as controls for comparison. 1505-10B corresponds to immortalized cells with germ line BRCA2 mutation. KTB40 and KTB42 differ from the rest of the cell lines with respect to cell surface markers profiles. These cells are CD201+/EpCAM-, whereas the remaining cells are CD201+/EpCAM+ or CD201-/EpCAM+. KTB40 and KTB42 are phenotypically fibroblastic or display features of epithelial to mesenchymal transition, whereas the remaining KTB (Komen Tissue Bank) cell lines display luminal features. This series also includes RNA-seq data for non-immortalized cell lines.
Normal Breast-Derived Epithelial Cells with Luminal and Intrinsic Subtype-Enriched Gene Expression Document Interindividual Differences in Their Differentiation Cascade.
Specimen part, Cell line, Subject
View SamplesPurpose: The cholinergic anti-inflammatory pathway (CAP) links the nervous and immune systems and modulates innate and adaptive immunity. The goals of this study are to identify the new downstream signaling of a7nAChR in macrophages. Methods: Peritoneal macrophages isolated from a7nAChR+/+ and a7nAChR-/- mice were treated with nicotine (10 µM) and/or LPS (100 ng/ml), then RNA-seq was performed. Results: Genes were selected that had more than 4-fold relative gene expression in nicotine-treated cells compared to the control group (vehicle-treated). The same calculation was applied to nicotine+LPS-treated cells and LPS-treated cells and 264 genes were identified as genes commonly induced by nicotine based on these two comparisons. Then relative gene expression was compared between a7nAChR+/+- and a7nAChR-/- -derived cells. 18 genes were finally selected whose expressions are suppressed (<1/2) in a7nAChR-/- -derived peritoneal macrophages. Conclusions: Our study represents the first detailed analysis focused on the new downstream signaling of a7nAChR in macrophages, generated by RNA-seq technology. We newly revealed the important anti-inflammatory role of Hes1 in the CAP using some functional experiments. Overall design: Peritoneal macrophage's mRNA profiles of wild type (WT) and a7nAChR-/- mice treated with Nicotine and/or LPS were generated by deep sequencing.
Non-canonical cholinergic anti-inflammatory pathway-mediated activation of peritoneal macrophages induces Hes1 and blocks ischemia/reperfusion injury in the kidney.
Specimen part, Cell line, Treatment, Subject
View SamplesSmall RNAs (sRNA) that act by base pairing with trans-encoded mRNAs modulate metabolism in response to a variety of environmental stimuli. Here, we describe an Hfq-binding sRNA (FnrS) whose expression is induced upon a shift from aerobic to anaerobic conditions and which acts to down regulate the levels of a variety of mRNAs encoding metabolic enzymes. Anaerobic induction in minimal medium depends strongly on FNR but is also affected by ArcA and CRP. Whole genome expression analysis showed that the levels of at least 32 mRNAs are down regulated upon FnrS overexpression, 15 of which are predicted to base pair with FnrS by TargetRNA. The sRNA is highly conserved across its entire length in numerous enterobacteria, and mutation analysis revealed that two separate regions of FnrS base pair with different sets of target mRNAs. The majority of the target genes previously reported to be down regulated in an FNR-dependent manner lack recognizable FNR binding sites. We thus suggest that FnrS extends the FNR regulon and increases the efficiency of anaerobic metabolism by repressing the synthesis of enzymes that are not needed under these conditions.
Reprogramming of anaerobic metabolism by the FnrS small RNA.
No sample metadata fields
View SamplesBacteria selectively consume some carbon sources over others through a regulatory mechanism termed catabolite repression. Here, we show that the base pairing RNA Spot 42 plays a broad role in catabolite repression in Escherichia coli by directly repressing genes involved in central and secondary metabolism, redox balancing, and the consumption of diverse non-preferred carbon sources. Many of the genes repressed by Spot 42 are transcriptionally activated by the global regulator CRP. Since CRP represses Spot 42, these regulators participate in a specific regulatory circuit called a multi-output feedforward loop. We found that this loop can reduce leaky expression of target genes in the presence of glucose and can maintain repression of target genes under changing nutrient conditions. Our results suggest that base pairing RNAs in feedforward loops can help shape the steady-state levels and dynamics of gene expression.
The base-pairing RNA spot 42 participates in a multioutput feedforward loop to help enact catabolite repression in Escherichia coli.
Specimen part
View SamplesEscherichia coli possesses >65 small proteins of <50 amino acids, many of which are uncharacterized. We have identified a new small protein, MntS, involved in manganese homeostasis. Manganese is a critical micronutrient, serving as an enzyme cofactor and protecting against oxidative stress. Yet manganese is toxic in excess and little is known about its function in cells. Bacteria carefully control intracellular manganese levels using the transcription regulator MntR. Before this work, mntH, which encodes a manganese importer, was the only gene known to respond to manganese via MntR repression in E. coli K12. We demonstrated that mntS is another member of the MntR manganese regulon. We also identified yebN, which encodes a putative manganese efflux pump, as the first gene positively regulated by MntR in Enterobacteria. Since MntS is expressed when manganese levels are low, causes manganese sensitivity when overexpressed, and binds manganese, we propose that MntS may be a manganese chaperone. This study reveals new factors involved in manganese regulation and metabolism and expands our knowledge of how small proteins function.
The Escherichia coli MntR miniregulon includes genes encoding a small protein and an efflux pump required for manganese homeostasis.
Treatment
View SamplesEpsteinBarr virus (EBV) is a common human pathogen that infects over 95% of the population worldwide. In the present study, the whole transcriptome microarray data were generated from peripheral blood mononuclear cells from Chinese children with acute infectious mononucleosis (AIM) and chronic active EBV infection (CAEBV) that were also compared with a publicly available microarray dataset from a study of American college students with AIM. Our study characterized for the first time a broad spectrum of molecular signatures in AIM and CAEBV. The key findings from the transcriptome profiling were validated with qPCR and flow cytometry assays. The most important finding in our study is the discovery of predominant TCR expression and T cell expansion in AIM. This finding, in combination with the striking up-regulation of CD3, CD8 and CD94, suggests that CD8+ T cells and CD94+ NK cells may play a major role in AIM. Moreover, the unique up-regulation of CD64A/B and its significant correlation with the monocyte marker CD14 was observed in CAEBV and that implies an important role of monocytes in CAEBV. In conclusion, our study reveals major cell types (particularly T cells) in the host cellular immune response against AIM and CAEBV.
Whole transcriptome profiling reveals major cell types in the cellular immune response against acute and chronic active Epstein-Barr virus infection.
Sex, Age, Specimen part, Disease
View SamplesRRF-3 and ERI-1 are first identified proteins required for accumulation of at least some endogenous secondary siRNAs in C.elegans. Genome wide gene expression analysis was performed on L4 stage rrf-3 and eri-1 mutant C. elegans to study effects caused by loss of these proteins. Mutant rrf-3 and eri-1 strains exhibited similar expression patterns when compared to N2 wild type, while 72 transcripts were found to be co-overexpressed and 4 transcripts co-underexpressed (> 2-fold, p< 0.05). Ontology analysis indicated many of the gene products were associated with protein phosphorylation and sperm function. These results provide additional support for the hypothesis that RRF-3 and ERI-1 act together in a siRNA pathway and may indicate biological processes that are related to endo-siRNAs.
Whole genome microarray analysis of C. elegans rrf-3 and eri-1 mutants.
No sample metadata fields
View SamplesARC (NSC 188491, SMA-491), 4-amino-6-hydrazino-7-beta-d-ribofuranosyl-7H-pyrrolo-(2,3-d)-pyrimidine-5-carboxamide, is a nucleoside analog with profound in vitro anti-cancer activity. First identified in a high-throughput screen for inhibitors of p21 mRNA expression, subsequent experiments showed that ARC also repressed expression of hdm2 and survivin, leading to its classification as a global inhibitor of transcription 1. The following Hu U133 plus 2.0 arrays represent single time point (24 hour) gene expression analysis of transcripts altered by ARC treatment. Arrays for the other compounds (sangivamycin and doxorubicin) are included as comparators.
ARC (NSC 188491) has identical activity to Sangivamycin (NSC 65346) including inhibition of both P-TEFb and PKC.
No sample metadata fields
View SamplesWe hypothesized that broad-scale expression profiling would provide insight into the regulatory pathways that control gene expression in response to stress, and potentially identify novel heat-responsive genes. HEp2 cells were heated at 37 to 43 C for 60 min to gauge the heat shock response, using as a proxy inducible HSP-70 quantified by western blot analysis. Based on these results, microarray experiments were conducted at 37, 40, 41, 42 and 43C (3 replicates/temperature x 5 groups = 15 U95Aver2 GeneChips). Using linear modeling, we compared the sets of microarrays at 40, 41, 42 and 43C with the 37C baseline temperature and took the union of the genes exhibiting differential gene expression signal to create two sets of heat shock response genes, each set reflecting either increased or decreased RNA abundance. Leveraging human and mouse orthologous alignments, we used the two lists of co-expressed genes to predict transcription factor binding sites in silico, including those for heat shock factor 1 (HSF1) and heat shock factor 2 (HSF2) transcription factors. We discovered HSF1 and HSF2 binding sites in 15 genes not previously associated with the heat shock response. We conclude that microarray experiments coupled with upstream promoter analysis can be used to identify novel genes that respond to heat shock. Additional experiments are required to validate these putative heat shock proteins and facilitate a deeper understanding of the mechanisms involved during the stress response.
Transcriptional profiles of human epithelial cells in response to heat: computational evidence for novel heat shock proteins.
No sample metadata fields
View SamplesWe addressed changes in gene expression profile in response to
Role of PUG1 in inducible porphyrin and heme transport in Saccharomyces cerevisiae.
No sample metadata fields
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