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.
Integrative multi-omics approach for mechanism of humidifier disinfectant-associated lung injury.
Age, Specimen part
View SamplesDespite 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.
Gene expression signature-based prognostic risk score in gastric cancer.
No sample metadata fields
View SamplesUnder 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+).
Small intestinal eosinophils regulate Th17 cells by producing IL-1 receptor antagonist.
Age, Specimen part
View SamplesBackground: 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.
A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis.
Sex, Age, Specimen part
View SamplesReconstructed mutants of yeast by inverse metabolic engineering were characterized by fermentation physiology and tools from systems biology.
Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.
Time
View SamplesDrosophila 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.
Antagonistic roles of Drosophila Tctp and Brahma in chromatin remodelling and stabilizing repeated sequences.
Specimen part
View SamplesExploring molecular details of carbon utilization trade-offs in galactose-evolved yeast
Adaptively evolved yeast mutants on galactose show trade-offs in carbon utilization on glucose.
Time
View SamplesWe 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).
Zfp423 Regulates Sonic Hedgehog Signaling via Primary Cilium Function.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Stress signaling in breast cancer cells induces matrix components that promote chemoresistant metastasis.
Specimen part, Cell line, Treatment
View SamplesIn advanced malignancies, cancer cells have acquired capabilities to resist a variety of stress-inducing insults. We show that c-Jun N-terminal kinase (JNK) stress signaling is highly active in cancer cells from patients with late stage breast cancer and promotes tumor growth and metastasis in mouse models. Transcriptomic analysis revealed that JNK activity induces genes associated with extracellular matrix (ECM), wound healing and mammary stem cells. The ECM proteins and niche components osteopontin (SPP1) and tenascin C (TNC) are induced by JNK signaling and promote metastatic colonization of the lungs. Notably, treatment with chemotherapeutic drugs induces JNK activity in breast cancer cells, reinforcing the production of SPP1 and TNC. Inhibition of JNK or reduction of SPP1 or TNC expression sensitizes primary tumors and metastases in mice to chemotherapy.
Stress signaling in breast cancer cells induces matrix components that promote chemoresistant metastasis.
Specimen part, Cell line, Treatment
View Samples