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accession-icon GSE20188
Expression data in response to neonicotinoid insecticides
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Neonicotinoid insecticides control crop pests based on their action as agonists at the insect nicotinic acetylcholine receptor which accepts chloropyridinyl- and chlorothiazolyl- analogs almost equally well. In some cases, these compounds have also been reported to enhance plant vigor and (a)biotic stress tolerance, independent of their insecticidal function. However, this mode of action has not been specifically defined. Using Arabidopsis thaliana, we show that the neonicotinoid compounds, imidacloprid (IMI) and clothianidin (CLO), via their 6-chloropyridinyl-3-carboxylic acid and 2-chlorothiazolyl-5-carboxylic acid metabolites, respectively, induce salicylic acid (SA) associated plant responses. SA is a phytohormone best known for its role in plant defense against pathogens and as an inducer of systemic acquired resistance; however, it can also modulate abiotic stress responses. These neonicotinoids effect a similar global transcriptional response to that of SA including genes involved in (a)biotic stress response. Furthermore, similar to SA, IMI and CLO induce systemic acquired resistance resulting in reduced growth of a powdery mildew pathogen. The action of CLO induces the endogenous synthesis of SA via the SA biosynthetic enzyme ICS1, with ICS1 required for CLO-induced accumulation of SA, expression of the SA marker PR1, and fully enhanced resistance to powdery mildew. In contrast, the action of IMI does not induce endogenous synthesis of SA. Instead, IMI is further bioactivated to 6-chloro-2-hydroxypyridinyl-3-carboxylic acid, which is shown here to be a potent inducer of PR1 and inhibitor of SA-sensitive enzymes. Thus, via different mechanisms, these chloropyridinyl- and chlorothiazolyl- neonicotinoids induce SA responses associated with enhanced stress tolerance.

Publication Title

Neonicotinoid insecticides induce salicylate-associated plant defense responses.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE45773
Expression data from GPR15+CD4+ and GPR15-CD4+ T cells in LILP
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

GPR15 is an orphan G-protein coupled receptor and its expression is abundant among T cells in the large intestine lamina propria.

Publication Title

GPR15-mediated homing controls immune homeostasis in the large intestine mucosa.

Sample Metadata Fields

Specimen part

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accession-icon SRP079913
Effects of the expression of a samble mutant of Kif1-Binding Protein (KBP) on the transcriptome of self-renewing ES cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Mouse ES cells were stably transduced with a lentivirus expressing either wild-type KBP or the stable mutant KBP(KK/RR) and maintained in self-renewing growth conditions. RNA-seq was performed to assess mRNA expression differences caused by the stabilization of KBP. Overall design: 6 samples [a triplicate set for ES cells expressing wild-type KBP and a triplicate set expressing KBP(KK/RR)] were analyzed.

Publication Title

The TDH-GCN5L1-Fbxo15-KBP axis limits mitochondrial biogenesis in mouse embryonic stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP090923
Next-gen RNA sequencing of mouse osteosarcoma tumors
  • organism-icon Mus musculus
  • sample-icon 175 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Trascriptome analysis of osteosarcoma samples were performed Overall design: Tumor samples were obtained from a previously published Sleeping Beauty forward genetic screen, cell lines were derived from previous primary tumors and sequenced using Illumina HiSeq 2000

Publication Title

Comparative Transcriptome Analysis Quantifies Immune Cell Transcript Levels, Metastatic Progression, and Survival in Osteosarcoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP111653
CD95L derived si- and shRNAs kill cancer cells through an RNAi mechanism by targeting survival genes [shL3.shR6.RNAseq.lg]
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The death receptor CD95/Fas can be activated by immune cells to kill cancer cells. However, most siRNAs or shRNAs targeting either CD95 or CD95L induce DICE (Death Induced by CD95/CD95L Elimination), a form of cell death in which a combination of different cell death pathways are activated, that is selective for transformed cells, and that preferentially affects cancer stem cells. We now provide evidence that both CD95 and CD95L are part of a network of genes that contain sequences that when expressed as either siRNAs or shRNAs are toxic to cancer cells. They act through canonical RNAi by targeting the 3''UTRs of critical survival genes. We propose that these embedded toxic sequences are part of a conserved mechanism that regulates cell death, and we predict the existence of endogenous siRNAs, that when produced, induce cell death to regulate genome fidelity. Our data have implications for cancer therapy and the use of RNAi. Overall design: 293T (shL3 site deleted) cells were infected with either pTIP-shScr or pTIP-shL3 and following puromycin selection large RNAs were analyzed by deep sequencing 50 or 100hrs after addition of doxycycline/HeyA8 (shR6 site deleted) cells were infected with either pLKO-shScr or pLKO-shR6 and following puromycin selection large RNAs were analyzed by deep sequencing 50 or 100hrs after addition of selection.

Publication Title

Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP111526
CD95L derived si- and shRNAs kill cancer cells through an RNAi mechanism by targeting survival genes [shL1.RNAseq.lg]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We provide evidence that shRNAs and siRNAs derived from CD95 and CD95L preferentially target the 3'' UTRs of survival genes culminating in a very robust mode of cell death we call DISE (Death Induced by Survival gene Elimination) Overall design: 293T cells were infected with either pTIP-shScr or pTIP-shL1 and following puromycin selection RNA was analyzed by deep sequencing 100hrs after addition of doxycycline

Publication Title

Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon E-MTAB-3558
Transcription profiling by array of Arabidopsis swp73b-1 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

SWP73 subunits of SWI/SNF chromatin remodeling complexes (CRCs) are involved in key developmental pathways in Arabidopsis. We found, using microarray that inactivation of SWP73B caused altered expression of genes belonging to various regulatory pathways, including leaf and flower development. On the basis of this experiment and our other data we concluded that SWP73B modulates major developmental pathways.

Publication Title

SWP73 Subunits of Arabidopsis SWI/SNF Chromatin Remodeling Complexes Play Distinct Roles in Leaf and Flower Development.

Sample Metadata Fields

Specimen part

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accession-icon GSE79681
Global transcriptional analysis reveals unique and shared responses in Arabidopsis thaliana exposed to combined drought and pathogen stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

With frequent fluctuations in global climate, plants often experience co-occurring dry-wet cycles and pathogen infection and this combination adversely affects plant survival. In the past, some studies indicated that morpho-physiological responses of plants to the combined stress are different from the individual stressed plants. However, interaction of drought stressed or drought recovered plants with pathogen has not been widely studied at molecular level. Such studies are important to understand the defense pathways that operate as part of combined stress tolerance mechanism. In this study, Arabidopsis plants were exposed to individual drought stress (soil drying at 40% FC, D), Pseudomonas syringae pv tomato DC3000 (PStDC3000), infection and their combination. Plants recovered from drought stress were also exposed to PStDC3000. Beside we have also infiltrated P. syringae pv tabaci (PSta, non-host pathogen) individually or in combination with drought stress. Using Affymetrix WT gene 1.0 ST array, global transcriptome profiling of plants leaves under individual drought stress and pathogen infection was compared with their combination. Results implicate that plants exposed to combined drought and pathogen stress experience a new state of stress where each combination of stressor and their timing defines the plant responses and thus should be studied explicitly.

Publication Title

Global Transcriptional Analysis Reveals Unique and Shared Responses in Arabidopsis thaliana Exposed to Combined Drought and Pathogen Stress.

Sample Metadata Fields

Specimen part

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accession-icon GSE37165
Gene expression data from time course of fin regeneration in Danio rerio
  • organism-icon Danio rerio
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Impaired tissue regeneration corresponds with altered expression of developmental genes that persists in the metabolic memory state of diabetic zebrafish.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE37164
Gene expression data from time course of fin regeneration in Danio rerio (part 2)
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Olsen et al (2010) have shown that induced Diabetes mellitus (DM) in adult Zebrafish results in an impairment of tissue regeneration as monitored by caudal fin regeneration. In those studies, streptozocin was used to induce hyperglycemia in adult zebrafish, and then, following streptozocin withdrawal, a recovery phase was allowed to re-establish euglycemia, due to pancreatic b-cell regeneration. DM-associated impaired fin regeneration continued indefinitely in the metabolic memory state (MM); allowing for subsequent molecular analysis of the underlying mechanisms of MM. This study focuses on elucidating the molecular basis explaining DM-associated impaired fin regeneration and why it persists into the MM state. The analysis of microarray data indicated that of the 14,900 transcripts analyzed, aberrant expression of 71 genes relating to tissue developmental and regeneration processes were identified in DM fish and the aberrant expression of these 71 genes persisted into the MM state. Key regulatory genes of major signal transduction pathways were identified among this group of 71; and therefore, these findings provide a possible explanation for how hyperglycemia induces impaired fin regeneration and why it continues into the MM state.

Publication Title

Impaired tissue regeneration corresponds with altered expression of developmental genes that persists in the metabolic memory state of diabetic zebrafish.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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