Transcription profiling of wild type, relA-, and relA-spoT-, crp-, dksA-, rpoS-, lrp- mutant strains of E. coli starved for isoleucine
The global, ppGpp-mediated stringent response to amino acid starvation in Escherichia coli.
No sample metadata fields
View SamplesThe metabolic syndrome (MetS) is a collection of co-occurring complex disorders including obesity, hypertension, dyslipidemia, and insulin resistance. The Lyon Hypertensive (LH) and Lyon Normotensive (LN) rats are models of MetS sensitivity and resistance, respectively. To identify genetic determinants and mechanisms underlying MetS, 169 rats from an F2 intercross between LH and LN were studied. Multi-dimensional data were obtained including genotypes of 1536 SNPs, 23 physiological traits including blood pressure, plasma lipid and leptin levels, and body weight/adiposity, and more than 150 billion nucleotides of RNA-seq reads from the livers of 36 F2 individuals, 6 LH and 6 LN individuals. We identified 17 pQTLs (physiological quantitative trait loci) and 1200 eQTLs (gene expression quantitative trait loci). Systems biology methods were applied to identify 18 candidate MetS genes, including genes (Prcp and Aqp11) previously shown to be MetS-related. We found an eQTL hotspot on RNO17, which was also located within pQTLs for MetS-related traits. The genes regulated by this eQTL hotspot were mainly in two co-expression network modules (a mitochondria related module and a gene regulation related module) and were predicted to causally affect many MetS-related traits. Multiple evidences strongly and consistently support RGD1562963, a gene regulated in cis by this eQTL hotspot and possibly related to RNA stability, as the eQTL driver gene directly affected by genetic variation between LH and LN rats; the expression of this gene is also correlated with MetS-related traits. Our study sheds light on the intricate pathogenesis of MetS and proved that systems biology with high-throughput sequencing is a powerful method to study the etiology of complicated diseases. Overall design: RNA-Seq of the liver of 6 LH (Lyon Hypertensive) rats and 6 LN (Lyon Normotensive) rats and 36 F2 rats.
Systems biology with high-throughput sequencing reveals genetic mechanisms underlying the metabolic syndrome in the Lyon hypertensive rat.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
Host Transcription Profile in Nasal Epithelium and Whole Blood of Hospitalized Children Under 2 Years of Age With Respiratory Syncytial Virus Infection.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesGlobal microarray (HG U133 Plus 2.0) was used to investigate the effects of resistance exercise and resistance training on the skeletal muscle transcriptome profile of 28 young and old adults. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sex, Specimen part, Time
View SamplesGlobal microarray (HG U133 Plus 2.0) was used for the first time to investigate the effects of resistance exercise on the transcriptome in slow-twitch myosin heavy chain (MHC) I and fast-twitch MHC IIa muscle fibers of young and old women. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sex, Specimen part, Subject, Time
View SamplesGlobal microarray (HG U133 Plus 2.0) was used to investigate the basal level skeletal muscle transcriptome profile of young and old adults. One vastus lateralis muscle biopsy was obtained in the basal state from 36 different subjects.
Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.
Sex, Specimen part
View SamplesWe report an applicaton of small RNA sequencing using high throughput next generation sequencing to identify the small RNA content of cell lines. By sequencing over 30 million reads we could identify a new class of small RNAs previousy observed with tiling arrays and mapping to promoter regions of coding genes. We also identified a large number of small RNAs corresponding to internal exons of coding genes. By using different enzymatic treatments and immunoprecipitation experiments, we have determined that both the promoter associated small RNAs as well as ones within the body of the genes bear 5'' cap structures. Overall design: Examination of the expression of small RNAs (<200nt).
Post-transcriptional processing generates a diversity of 5'-modified long and short RNAs.
No sample metadata fields
View SamplesGM-CSF receptor- deficient (Csf2rb/ or KO) mice develop a lung disease identical to hereditary pulmonary alveolar proteinosis (hPAP) in humans with recessive CSF2RA or CSF2RB mutations that impair GM-CSF receptor function. We performed pulmonary macrophage transplantation (PMT) of bone marrow derived macrophages (BMDMs) without myeloablation in Csf2rb/mice. BMDMs were administered by endotracheal instillation into 2 month-old Csf2rb/ mice. Results demonstrated that PMT therapeutic of hPAP in Csf2rb/ mice was highly efficacious and durable. Alveolar macrophages were isolated by bronchoalveolar lavage one year after administration subjected to microarray analysis to determine the effects of PMT therapy on the global gene expression profile.
Pulmonary macrophage transplantation therapy.
Specimen part, Treatment
View SamplesGene expression analysis of wid type and Lmnb1-/- epicardial cells Overall design: Total RNA was isolated from wild type and Lmnb1-/- epicardial explants and subject ot sequencing on the Illumina platform
Lamin-B1 contributes to the proper timing of epicardial cell migration and function during embryonic heart development.
Cell line, Subject
View SamplesViral infection can dramatically alter a cell''s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in production of viral gene transcripts -- viral transcripts compose less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, and this gene absence partially explains variation in viral transcriptional load. Despite variation in total viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. Overall design: Dataset consists of a total of five single-cell datasets generated using the 10x Genomics Chromium Single Cell 3'' Solution platform. All samples were generated from a tissue culture infection model using A549 cells from ATCC and Influenza A/WSN/1933 virus. Uninfected control sample identically processed. Infected samples were generated from cells infected for 6, 8, and 10 hours with a single replicate at 8 hours.
Extreme heterogeneity of influenza virus infection in single cells.
Cell line, Subject
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