Needle biopsies were performed to obtain liver samples from patients for clinical purposes from patients with Alagille syndrome. A small portion was snap frozen and later used for RNA sequencing analysis. Needle biospies from 5 patients with other liver disorders were included as controls. Overall design: Examination of RNA expression in Alagille patients'' liver samples, compared to other control liver samples (with other chronic liver diseases).
Mouse Model of Alagille Syndrome and Mechanisms of Jagged1 Missense Mutations.
Specimen part, Disease stage, Subject
View SamplesRNA sequencing of control or Notch1-expressing mouse cells co-cultured with control, Jag1WT, or Jag1Ndr-expressing human cells. Deep sequencing and bioinformatical separation of mouse and human reads reveals transcripts specifically regulated in mouse receptor-expressing cells. Overall design: Mouse C2C12 control and C2C12-FLNotch1, and human HEK-293-Flp-In cells (Hansson et al., 2010): HEK293-Flp control (Flp Ctrl), HEK293-Flp-Jag1WT (Flp Jag1+), HEK293-Flp-Jag1Ndr (Flp Jag1Ndr) were used in this experiment. In one 12-well plate, we seeded 3 wells of mouse C2C12 control cells and 3 wells of C2C12-FLN1 cells, with 3.6x105 cells in 1 mL antibiotic-free medium per well. Cells were allowed to settle for 8 hours. C2C12 control and C2C12-FLN1 cells were transfected with pcDNA5 (1.6 ug/well). All transfections were done using Lipofectamine® 2000 (InvitrogenTM, cat. no. 11668-019) with Opti-MEM® I Reduced Serum Medium (Gibco®, cat. no. 31985-062), according to manufacturer's instructions. The following day (18 hours post transfection), 3.6x105 cells in 0.5 mL antibiotic-free medium of Flp Ctrl, Flp Jag1+, or Flp Jag1Ndr cells were added. Cells were co-cultured for 6 hours, then lysed in 350 uL per well Buffer RLT (QIAGEN, cat. no. 79216) with 1% 2-Mercaptoethanol (Sigma-Aldrich®, cat. no. M3148) and stored at -80°C until RNA extraction.
Mouse Model of Alagille Syndrome and Mechanisms of Jagged1 Missense Mutations.
Subject
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 SamplesBackground: Whole transcriptome sequencing (RNA-seq) represents a powerful approach for whole transcriptome gene expression analysis. However, RNA-seq carries a few limitations, e.g., the requirement of a significant amount of input RNA and complications led by non-specific mapping of short reads. The Ion AmpliSeqTM Transcriptome Human Gene Expression Kit (AmpliSeq) was recently introduced by Life Technologies as a whole-transcriptome, targeted gene quantification kit to overcome these limitations of RNA-seq.To assess the performance of this new methodology, we performed a comprehensive comparison of AmpliSeq with RNA-seq using two well-established next-generation sequencing platforms (Illumina HiSeq and Ion Torrent Proton). We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs). Results: Using published data from two standard RNA reference samples, we observed a strong concordance of log2 fold change for all genes when comparing AmpliSeq to Illumina HiSeq (Pearson’s r=0.92) and Ion Torrent Proton (Pearson’s r=0.92). We used ROC, Matthew’s correlation coefficient and RMSD to determine the overall performance characteristics. All three statistical methods demonstrate AmpliSeq as a highly accurate method for differential gene expression analysis. Additionally, for genes with high abundance, AmpliSeq outperforms the two RNA-seq methods. When analyzing four closely related hiPSC-CM lines, we show that both AmpliSeq and RNA-seq capture similar global gene expression patterns consistent with known sources of variations. Conclusions: Our study indicates that AmpliSeq excels in the limiting areas of RNA-seq for gene expression quantification analysis. Thus, AmpliSeq stands as a very sensitive and cost-effective approach for very large scale gene expression analysis and mRNA marker screening with high accuracy. Overall design: Comprehensive, performance evaluation of AmpliSeq Transcriptome to standard whole-transcriptome RNA-sequencing methods for large-scale, genome-wide differential gene expression analysis. We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs).
Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.
No sample metadata fields
View SamplesThe effect of dietary calcium and dairy proteins on adipose tissue gene expression profile in diet induced obesity
Effect of dietary calcium and dairy proteins on the adipose tissue gene expression profile in diet-induced obesity.
No sample metadata fields
View SamplesGene expression in placenta from 5 smoking and 5 non-smoking mothers analyzed by Affymetrix Hg133_plus2 microarrays.
Microarray analysis of the global alterations in the gene expression in the placentas from cigarette-smoking mothers.
No sample metadata fields
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
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