Ontology highlight
ABSTRACT:
PROVIDER: PRJNA773192 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16508143.fastq.gz | Fastqsanger.gz | |||
| SRR16508144_1.fastq.gz | Fastqsanger.gz | |||
| SRR16508144_2.fastq.gz | Fastqsanger.gz | |||
| SRR16508145_1.fastq.gz | Fastqsanger.gz | |||
| SRR16508145_2.fastq.gz | Fastqsanger.gz |
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Project description:Background Congenital anomalies of the kidney and urinary tract (CAKUT) refer to a diverse group of developmental malformations, which are the leading cause of chronic kidney disease and end-stage renal disease in children. The etiology and pathogenesis of CAKUT are complex. In recent years, the relationship between long noncoding RNAs and renal development and disease has attracted much attention. Our previous study established a long noncoding RNA 4933425B07Rik (Rik) overexpression mouse model by inserting the PB transposon and found that overexpression of Rik led to renal hypoplasia. This study aimed to explore the molecular mechanism of renal hypoplasia induced by Rik overexpression in vitro. Results In this study, by constructing Rik overexpression cell models and a Rik knockout cell model to accompany previously developed RikPB/PB;Hoxb7 mice and by applying RNA-seq, RT‒PCR and other experimental methods, it was found that when Rik was highly expressed, the expression of Wnt10b, Fzd8 and β-catenin decreased, while Rik was knock down, the expression of these genes increased. Conclusions The findings suggest that overexpression of Rik leads to renal hypoplasia by inactivating the Wnt/β-catenin signaling pathway. This research perspective may provide a basis for exploring new causes and mechanisms of CAKUT and provide new targets for the prevention and treatment of CAKUT.
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Project description:An experiment looking OATs (organic anion transporters) as the main microbiome pathway for renal elimination of many gut microbiome metabolites of clinical importance in children, pregnant mothers and other adults. Data was acquired using a Thermo Q-Exative and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
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Project description:An experiment looking OATs (organic anion transporters) as the main microbiome pathway for renal elimination of many gut microbiome metabolites of clinical importance in children, pregnant mothers and other adults. Data was acquired using a Thermo Q-Exative and C18 RP-UHPLC. Negative polarity acquisition of LC-MS/MS.
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Project description:Wilms tumor (WT) is the most common renal malignancy in children. So we aim to investigate the transcriptomic map of Wilms tumor.
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Project description:Vesicoureteral reflux (VUR) is a common pediatric condition that predisposes children to renal damage after urinary tract infection (UTI). We profiled the urinary proteome of VUR patients with recurrent UTI and renal scarring to identify potential biomarkers characterizing this condition. Urine was obtained from 22 age-matched controls and 22 patients with low grade VUR (1-3 out of 5), renal scarring, and history of recurrent UTI. Proteins extracted from these samples were analyzed by mass spectrometry for protein identification and quantitation for comparison.
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Project description:Renal obstruction is a common cause of renal failure in adults and children and is suspected when hydronephrosis is detected on imaging. Since not all cases of hydronephrosis are associated with renal damage, biomarkers are needed to guide intervention to relieve obstruction. We performed gene expression profiling on the kidneys from adult mice over a detailed time course after obstruction and compared these data to a neonatal model of bilateral high grade obstruction induced by conditional deletion of the calcineurin ß1 (Cnb1) gene. Using a model of short term (non-damaging) and long term (damaging) temporary obstruction, we identified which of the transcripts common to the adult and neonatal models were induced early and associated with renal damage. Using QPCR, elevated levels of several candidate RNA biomarkers of renal damage were detected in urine from obstructed mice and children undergoing surgery for ureteropelvic junction obstruction (UPJO). This SuperSeries is composed of the SubSeries listed below.
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Project description:Molecular Characterization of Clinical Renal Tumors
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Project description:Molecular Characterization of Clinical Renal Tumors
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Project description:Glioma study (gene expression and CGH): Brain tumours are the most common solid tumors in children and have the highest mortality rate of all solid pediatric tumours. Despite advances in multimodality therapy, children with high-grade gliomas invariably have an Overall Survival (OS) around 20% at 5 years. There is growing evidence that the biological knowledge and the histo-prognostic classifications used for the management of adult HGG may not fully apply to children. Interobserver variability and specificity of pediatric tumors with respect to the World Health Organization (WHO) classification have lead to a high rate of misclassification in multi-institutional studies. From 90 biopsies of children with HGG (High Grade Glioma), comprising 37 DIPG (Diffuse Infiltrating Pontine Glioma), 73 extracted RNA have been hybrized on Agilent 4x44K GE arrays and 71 extracted DNA have been hybrized on Agilent 44K and 4x44K CGH arrays. The dataset contains raw data files from Feature Extraction. Genomic data were jointly analysed with clinical and histological data comprising: date_of_diagnosis, date_of_last_news, WHO_grade, deceased_at_median_survival_time, deceased_at_2years, localization of the tumour in brain, gadolinium_T1_inf_T2. A specific analysis was performed on DIPG.
2012-02-22 | E-TABM-1107 | biostudies-arrayexpress
Project description:Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining “molecular Banff” signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set here comprises a small validation batch of renal allograft biopsies for clinical indications plus control normal kidney samples from patients at Hôpital Tenon, Paris (second batch) that complements the first batch of 60 samples. We used microarrays to identify different gene expression signatures of renal allograft biopsies that can classify them according to different types of allograft rejection or CAN. Keywords: disease state analysis 4 renal allograft core biopsies for clinical indications with different histopathological diagnoses according to Banff'97 criteria and 2 normal kidney samples.
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