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accession-icon GSE2042
Apoptosis and differentiation commitment:novel insights revealed by gene profiling studies in mouse Embryonic Stem cells
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

Mouse embryonic stem (ES) cells remain pluripotent in vitro when grown in presence of Leukaemia Inhibitory Factor (LIF). LIF starvation leads to apoptosis of some of the ES-derived differentiated cells, together with p38a MAP kinase activation. Apoptosis, but not morphological cell differentiation, is blocked by a p38 inhibitor, PD 169316. To further understand the mechanism of action of this compound, we have identified its specific targets by microarray studies. We report on the global expression profiles of genes expressed at three days upon LIF withdrawal (d3) compared to pluripotent cells and of genes whose expression is modulated at d3 under anti-apoptotic conditions. We showed that at d3 without LIF cells express, earlier than anticipated, specialized cell markers and that when the apoptotic process was impaired, expression of differentiation markers was altered. In addition, functional tests revealed properties of anti-apoptotic proteins not to alter cell pluripotency and a novel role for metallothionein 1 gene which prevents apoptosis of early differentiated cells.

Publication Title

Apoptosis and differentiation commitment: novel insights revealed by gene profiling studies in mouse embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94380
Gene expression data of Peyer's patch conventional dendritic cells and macrophages at steady state and under TLR7 ligand stimulation
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The initiation of the mucosal immune response in Peyers patch (PP) relies on the sampling, processing and efficient presentation of foreign antigens by dendritic cells (DC). PP DC encompass five subsets, among which CD11b+ conventional DC (cDC) and LysoDC have distinct progenitors and functions but share many cell surface markers. This has previously led to confusion between these two subsets. In addition, another PP DC subset, termed double-negative (DN), remains poorly characterized. Here, we have studied the genetic relatedness of the different subsets of PP cDC at steady state and under TLR7 ligand stimulation. We also provide the transcriptional profiles of subepithelial TIM-4- and interfollicular TIM-4+ macrophages.

Publication Title

Distribution, location, and transcriptional profile of Peyer's patch conventional DC subsets at steady state and under TLR7 ligand stimulation.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE75793
Expression data from pulmonary arterial endothelial cells treated with siRNA control or siGLS in stiff or soft matrix
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Dysregulation of vascular stiffness and cellular metabolism occur early in pulmonary hypertension (PH). Yet, the mechanisms by which biophysical properties of extracellular matrix relate to metabolic processes and downstream PH phenotypes remain undefined. In cultured endothelial and smooth muscle cells and confirmed in PH-diseased human samples, we found that ECM stiffening activates the mechanosensitive factors YAP/TAZ to increase glycolysis and induce glutaminase (GLS) expression and glutaminolysis. Glutaminolysis replenishes aspartate for anabolic biosynthesis, thus sustaining proliferation and migration within stiff ECM. In vitro GLS inhibition blocks aspartate production, consequently reprogramming entire cellular proliferative pathways, while aspartate restores proliferation. In a rat model in vivo, GLS inhibition prevents hemodynamic and histologic manifestations of PH. Thus, mechanical ECM stiffening sustains vascular cell growth and migration through YAP/TAZ-dependent glutaminolysis a paradigm that advances our understanding of the connections of mechanical stimuli with dysregulated vascular metabolism and identifies new metabolic drug targets in PH.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon E-MTAB-991
Transcription profiling by array of human colon cancer xenografted in immunodeficient mice and rats to investigate clinical heterogeneity
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Patient-derived xenograft models are considered to represent the heterogeneity of human cancers and might be more relevant preclinical models to evaluate effective therapeutic agents. Our consortium joins efforts to extensively develop and characterize a new collection of patient-derived colorectal cancer models. From 86 unsupervised surgical colon sample collection, 54 tumors were successfully xenografted in immunodeficient mice and rats, representing 35 primary tumors, 5 peritoneal carcinosis and 14 metastases. Our histological and molecular characterization of patient tumors, first passage on mice and later passages includes the sequence of key genes involved in CRC (ie APC, KRAS, TP53), CGH array and transcriptomic analysis. This comprehensive characterization demonstrates that our collection recapitulates the clinical situation regarding the histopathological and molecular diversity of colorectal cancers. Moreover, patient tumors and corresponding models are clustering together which gives the opportunity to look for relevant signatures and comparison studies between clinical and preclinical data. Hence, we performed pharmacological monotherapy studies with standard of care for colon cancer (5-FU, oxaliplatin, irinotecan, cetuximab). Through this extensive in vivo analysis, we have compared the molecular profile with the drug sensitivity of each tumor models, and run an equivalent of a cetuximab phase II clinical trial in a preclinical setting. Our results confirm the key role of KRAS mutation in the cetuximab resistance and demonstrate that such collection could bring benefit to evaluate novel targeted therapeutic strategies and potentially help the stratification strategy for cancer patients according to molecular marker. This set correspond to 82 CGH profiles, with 7 samples from patient tumor and 75 samples from mouse xenograft at different passages P0 to P9. All hybridizations are performed with Human CGH 244K Agilent arrays (amadid 014693) in dual color with Human DNA Promega (sex matched) as reference. ID for biosources without an -Px suffix correspond to tumor patients. ID with a suffix correspond to xenograft with 0 for the first passage.

Publication Title

Characterization of a large panel of patient-derived tumor xenografts representing the clinical heterogeneity of human colorectal cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Time

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accession-icon GSE71737
Response of Arabidopsis roots to combinations of nitrogen and hormonal signals
  • organism-icon Arabidopsis thaliana
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Living organisms have to cope with multiple and combined fluctuations in their environment. According to their sessile mode of life, plants are even more subjected to such fluctuations impacting their physiology and development. In particular, nutrient availability is known to tune plant development through modulating hormonal signaling, and conversely, hormonal signals are key to control nutrient related signaling pathways (Krouk et al., 2011a). However, very few is known about molecular mechanisms leading to plant adaptation to such combined signals. Here we deployed an unprecedented combinatorial treatment matrix to reveal plant adaptation in response to nitrate (NO3-), ammonium (NH4+), auxin (IAA), cytokinins (CK) and abscisic acid (ABA) and their exhaustive binary combinations.

Publication Title

Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE141821
Transcriptomic analysis of CLL4-induced liver injury in WT and DPT KO mice
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

C57Bl6J mice were injected CCL4 for 8 weeks to induce liver injury and livers were used to prepare RNA.

Publication Title

Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE20044
High resolution NO3 response of Arabidopsis Roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions.

Publication Title

Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE94006
Analysis of the common and respective roles of CBP and p300 co-activators in human primary myoblast differentiation.
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

We used Affymetrix microarrays to detail the global programme of gene expression regulated by CBP and/or p300 during human primary myoblast differentiation.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE51649
The Fragile X Mental Retardation Protein (FMRP) controls diacylglycerol kinase in neurons
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In this study, we sought to identify the mRNAs associated to FMRP protein in mouse cortical neuron using a cross linking immunoprecipitation and microarray (CLIP-microarray).

Publication Title

Fragile X Mental Retardation Protein (FMRP) controls diacylglycerol kinase activity in neurons.

Sample Metadata Fields

Specimen part

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accession-icon GSE49437
Impact of NRT1.1 point mutants on gene expression under high NH4NO3 supply
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

NRT1.1 is a nitrate transceptor involved in many nitrate responses including the regulation of gene expression through (i) the Primary Nitrate Response (PNR) and (ii) the regulation the NRT2.1 gene under continuous high NH4NO3 conditions. Phosphorylation of NRT1.1s T101 residue is involved in the modulation of the PNR whereas nitrate transport by NRT1.1 is not. Here we used various NRT1.1 point mutants to study the impact of NRT1.1 on the whole transcriptome under high NH4NO3 supply. Col is the WT control, chl1-5 and chl1-12 are KO mutants, chl1-9 is defective in nitrate transport but not in PNR induction, T101D and T101A mimick the phosphorylated and not phosphorylated forms of NRT1.1 respectively.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
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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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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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