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accession-icon GSE179445
Integrative multi-omics approach for mechanism of humidifier disinfectant-associated lung injury [human]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Inhalation of toxic chemicals, including recent e-cigarettes, often cause life-threatening lung injury. Although exposure to polyhexamethylene guanidine (PHMG)-containing humidifier disinfectant (HD) has been identified as a cause of fatal lung injury, the mechanism underlying HD-associated lung injury (HDLI) is unknown. The present study evaluated global changes in gene expression in lung tissues from patients with PHMG-induced HDLI, and compared gene expression changes in PHMG-induced rat lung tissues. Significantly different expressions in lung tissues between patients with HDLI and unaffected controls were observed. Furthermore, several fibrosis-associated overlapping genes (such as MMP2 and COL1A2) shared between humans with HDLI and rats exposed to PHMG were identified. Interactome network analysis predicted different pathways between children and adults with HDLI: the TGFβ/SMAD signaling pathway was central in adults, whereas other pathways, including integrin signaling, were associated with HDLI in children. Further interactome network analysis revealed that Rap1 and CCKR signaling pathways were significantly enriched in HDLI compared with idiopathic pulmonary fibrosis as well as their recapitulation in the lung tissues of rats exposed to PHMG. Our results suggest that MMP2-mediated different mechanisms between children and adults may be associated with PHMG-induced HDLI development, and Rap1 and CCKR pathways appear to be crucial.

Publication Title

Integrative multi-omics approach for mechanism of humidifier disinfectant-associated lung injury.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE13861
Gene expression signature-based novel prognostic risk score in gastric cancer
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Despite continual efforts to establish pre-operative prognostic model of gastric cancer by using clinical and pathological parameters, a staging system that reliably separates patients with early and advanced gastric cancer into homogeneous groups with respect to prognosis does not exist. With use of microarray and quantitative RT-PCR technologies, we exploited series of experiments in combination with complementary data analyses on tumor specimens from 161 gastric cancer patients. Various statistical analyses were applied to gene expression data to uncover subgroups of gastric cancer, to identify potential biomarkers associated with prognosis, and to construct molecular predictor of risk from identified prognostic biomarkers.Two subgroups of gastric cancer with strong association with prognosis were uncovered. The robustness of prognostic gene expression signature was validated in independent patient cohort with use of support vector machines prediction model. For easy translation of our finding to clinics, we develop scoring system based on expression of six genes that can predict the likelihood of recurrence after curative resection of tumors. In multivariate analysis, our novel risk score was an independent predictor of recurrence (P=0.004) in cohort of 96 patients, and its robustness was validated in two other independent cohorts. We identified novel prognostic subgroups of gastric cancer that are distinctive in gene expression patterns. Six-gene signature and risk score derived from them has been validated for predicting the likelihood of survival at diagnosis.

Publication Title

Gene expression signature-based prognostic risk score in gastric cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77545
Expression data from small intestinal eosinophils and dendritic cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Under steady-state conditions, eosinophils are abundantly found in the small intestinal lamina propria, but their physiological function is largely unexplored. We performed a global gene expression analysis to examine which genes are highly expressed by small intestinal eosinophils (CD11b+CD11c(int)MHCII-SiglecF+) compared with dendritic cells (CD11c+MHCII+).

Publication Title

Small intestinal eosinophils regulate Th17 cells by producing IL-1 receptor antagonist.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE4107
Expression profiling in early onset colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Causative genes for autosomal dominantly inherited familial adenomatous polyposis (FAP) and hereditary non-polyposis colorectal cancer (HNPCC) have been well characterized. There is, however, another 10-15 % early onset colorectal cancer (CRC) whose genetic components are currently unknown. In this study, we used DNA chip technology to systematically search for genes differentially expressed in early onset CRC.

Publication Title

A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE36118
Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Reconstructed mutants of yeast by inverse metabolic engineering were characterized by fermentation physiology and tools from systems biology.

Publication Title

Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.

Sample Metadata Fields

Time

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accession-icon GSE75900
Expression data on salivary glands tissues of 3rd instar larvae from w[1118] wildtype and dTCTP mutants.
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Drosophila translationally controled tumor protein (dTCTP) is important to repair double stranded DNA breaks in cell nucleus. However, besides damaged DNA loci, dTCTP is also located in interbands region of polytene chromsomes of salivary gland tissues.

Publication Title

Antagonistic roles of Drosophila Tctp and Brahma in chromatin remodelling and stabilizing repeated sequences.

Sample Metadata Fields

Specimen part

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accession-icon GSE6162
Transcriptome analysis of Arabidopsis microgametogenesis
  • organism-icon Arabidopsis thaliana
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Aims We aim to use transcriptome analysis to establish on a genome-wide scale the identity and regulatory clusters of genes that specify microgametogenesis from the haploid microspore to mature functional pollen in Arabidopsis. Background Pollen as the haploid male gametophyte plays a vital role in plant fertility and crop production through the ability to deliver the male gametes in fertilisation. Despite the obvious importance for plant fertility and crop production we have a very limited understanding of the regulatory mechanisms that have evolved to specify male gametophyte development and functions and less than 150 genes have been identified that are gametophytically expressed in the anther.The availability of functional genomic resources now provides the opportunity to undertake a comprehensive approach to describing cellular development in terms of the transcriptome. This approach is particularly powerful where the complete transcriptome of a single developing cell can be analysed. The male gametophyte is a uniquely accessible cell type for such studies, enabling RNA analysis from distinct purified cell populations during development.The proposed experiments are designed to support a current application (P19208, Twell) to investigate the gametophytic transcriptome and transcription factor networks. The results obtained will extend our knowledge of the contribution of haploid gene expression to anther development and will be used directly to extend BBSRC funded work (P15086, Wilson) to investigate the role and targets the MALE STERILE 1 gene (MS1). In particular the data will be used in collaboration to extract haploid gene expression from datasets of transcriptome analysis of staged flower buds of wild type (Ler) and ms1. This work will also complement BBSRC funded work on sporogenesis (G13338, Dickinson and Scott) and meiosis (G15941, Franklin and Jones) that are focussed on earlier steps in anther development. Biological material and methods. Isolated microspores and pollen at 4 different developmental stages will be analysed. We will isolate spores from developmentally staged buds of Ler grown under defined growth conditions. Buds from several batches of 100 plants will be rapidly sorted into 4 groups according to developmental age, uninucleate microspores (UM), bicellular pollen (BP) tricellular pollen (TP) and mature pollen. Spores will be released by gentle mechanical tissue disruption and purified by filtration and purification of spores. We are confident that our spore isolation procedures are rigorous since we could not detect even trace expression of highly abundant sporophytic transcripts such RbcS and Cab transcripts in microarray data from pollen RNA.

Publication Title

Transcriptome analysis of haploid male gametophyte development in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon GSE39065
Adaptively evolved yeast mutants on galactose shows trade-offs in carbon utilization on glucose.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Exploring molecular details of carbon utilization trade-offs in galactose-evolved yeast

Publication Title

Adaptively evolved yeast mutants on galactose show trade-offs in carbon utilization on glucose.

Sample Metadata Fields

Time

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accession-icon SRP044651
mRNA expression in human DAOY cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We generate ZNF423 knockdown and control DAOY cells with lentivirus that co-expressed the fluorescent protein mCherry. We performed whole genome RNA sequencing (RNA-seq) of three batched of cultured ZNF423 KD or control KD cells. The sequence reads were analyzed by Homer followed by edgeR. The analyzed RNA-seq results showed differential expression profile including 12 known cilia genes, and 3 of these were validated with qRT-PCR on mouse granule cell precursors. This study proved data how ZNF423 linked to cilia complexes. Overall design: RNA-seq in three batched of control and ZNF423 KD cells(generated by lentivirus delivered shRNA targeting ZNF423 sequence).

Publication Title

Zfp423 Regulates Sonic Hedgehog Signaling via Primary Cilium Function.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP007668
MicroRNA expression during cell cycle arrest
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The miR-16 family, which targets genes important for the G1-S transition, is a known modulator of the cell cycle, and members of this family are often deleted or down-regulated in many types of cancers. Here we report the reciprocal relationship - that of the cell cycle controlling the miR-16 family. Levels of this family increase rapidly as cells are arrested in G0. Conversely, as cells are released from G0 arrest, levels of the miR-16 family rapidly decrease. Such rapid changes are made possible by the unusual instabilities of several family members. The repression mediated by the miR-16 family is sensitive to these cell cycle changes, which suggests that the rapid up-regulation of the miR-16 family reinforces cell cycle arrest in G0. Upon cell cycle re-entry, the rapid decay of several members allows levels of the family to decrease, alleviating repression of target genes and allowing proper resumption of the cell cycle. Overall design: Small RNAs were profiled by high-throughput sequencing either during synchronous release after serum starvation or during cell-cycle arrest by contact inhibition.

Publication Title

MicroRNA destabilization enables dynamic regulation of the miR-16 family in response to cell-cycle changes.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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