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accession-icon GSE140945
Mouse transcriptome reveals signatures of protection and pathogenesis in human tuberculosis
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE140943
Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [blood array]
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE140944
Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [lung array]
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-2506
Transcription profiling by array of rice grown in different light and temperature cycles
  • organism-icon Oryza sativa
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, ssp. Japonica, cv. Nipponbare 1) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.<br></br>

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon E-MTAB-275
Transcription profiling by array of rice Indica 93-11 after growth in different light and temperature conditions
  • organism-icon Oryza sativa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, spp. Indica, cv. 93-11) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon SRP161569
Global transcriptional profiling unveils the interferon network in blood and tissues across different diseases [RNA-seq_blood4_module_testing]
  • organism-icon Mus musculus
  • sample-icon 94 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of blood samples obtained from mice infected with Plasmodium chabaudi chabaudi, murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei.

Publication Title

Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP161563
Global transcriptional profiling unveils the interferon network in blood and tissues across different diseases [RNA-seq_HDM_sorted_CD4_Tcells]
  • organism-icon Mus musculus
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of sorted CD4 T cells (total CD4+, CD4+CD44high and CD4+CD44low) from lung and blood samples obtained from mice challenged systemically with House dust mite (HDM) allergy.

Publication Title

Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon E-MEXP-1304
Transcription profiling of Arabidopsis seedlings grown under thermocycles and/or photocycles or continuous conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In most organisms biological processes are partitioned, or phased to specific times over the day through interactions between external cycles of temperature (thermocycles) and light (photocycles), and the endogenous circadian clock. This orchestration of biological activities is achieved in part through an underlying transcriptional network. To understand how thermocycles, photocycles and the circadian clock interact to control time of day specific transcript abundance in Arabidopsis thaliana, we conducted four diurnal and three circadian two-day time courses using Affymetrix GeneChips (ATH1). All time courses were carried out with seven-day-old seedlings grown on agar plates under thermocycles (HC, hot/cold) and/or photocycles (LD, light/dark), or continuous conditions (LL, continuous light; DD, continuous dark, HH, continuous hot). Whole seedlings (50-100), including roots, stems and leaves were collected every four hours and frozen in liquid nitrogen. The four time courses interrogating the interaction between thermocycles, photocycles and the circadian clock were carried out as two four-day time courses. Four-day time courses were divided into two days under diurnal conditions, and two days under circadian conditions of continuous light and temperature. Thermocycles of 12 hours at 22C (hot) and 12 hours at 12C (cold) were used in this study. The two time courses interrogating photoperiod were conducted under short days (8 hrs light and 16 hrs dark) or long days (16 hrs light and 8 hrs dark) under constant temperature. In addition, the photoperiod time courses were in the Landsberg erecta (ler) accession, in contrast to the other time courses that are in the Columbia (col) background. The final time course interrogated circadian rhythmicity in seedlings grown completely in the dark (etiolated). Dark grown seedlings were synchronized with thermocycles, and plants were sampled under the circadian conditions of continuous dark and temperature.

Publication Title

Network discovery pipeline elucidates conserved time-of-day-specific cis-regulatory modules.

Sample Metadata Fields

Age, Time

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accession-icon SRP075376
MCF10A H-Ras RNA-Seq
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Paired-end sequencing of Vector and H-Ras expressing cell lines: p53-del and WT-p53 We found that activated forms of H-Ras and PIK3CA oncogene lead to repression of p63, a p53 family member. They also lead to induction of EMT, a cancer-related process. Our results suggest that, through Ras regulation of p63, this oncogene can drive mammary epithelial cells towards greater invasive ability. Overall design: 4 samples analyzed with 3 replicates each, control samples for each H-Ras line are the Vector cell line created at the same time

Publication Title

Repression of p63 and induction of EMT by mutant Ras in mammary epithelial cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP045867
RNA-seq of young and quiescent MRC-5 human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, IlluminaHiSeq2000

Description

Quiescent MRC-5 fibroblasts were compared to young fibroblasts Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de) Overall design: 6 samples: 3 biological replicates for each age group: young and quiescent MRC-5 cells. 50bp, single-end reads, no strand-specific reads

Publication Title

Long-term quiescent fibroblast cells transit into senescence.

Sample Metadata Fields

No sample metadata fields

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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