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MetabolomicsGeographic variation of mutagenic exposures in kidney cancer genomes

International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not been identified by conventional epidemiology yet potentially make a substantial contribution to cancer burden1. This pertains to clear cell renal cell carcinoma (ccRCC), fo...

2024-03-26 | MTBLS9394 | MetaboLights
MetabolomicsMetabolic Footprinting of a Clear Cell Renal Cell Carcinoma in vitro Model for Human Kidney Cancer Detection
A protocol for harvesting and extracting extracellular metabolites from an in vitro model of human renal cell lines was developed to profile the exometabolome by means of a discovery-based metabolomics approach using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass sp...
2018-11-14 | MTBLS737 | MetaboLights
TranscriptomicsAssessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypes
Molecular phenotyping of biopsies affords opportunities for increased precision and improved disease classification to address the limitations of conventional histologic diagnostic systems. We applied archetypal analysis, an unsupervised method similar to cluster analysis, to microarray data from 12...
ORGANISM(S): Homo sapiens 
2017-07-10 | E-GEOD-98320 | biostudies-arrayexpress
MetabolomicsFatal COVID-19 pulmonary disease involves ferroptosis.

SARS-CoV-2 infection causes severe pulmonary manifestations, with poorly understood mechanisms and limited treatment options. Hyperferritinemia and disrupted lung iron homeostasis in COVID-19 patients imply that ferroptosis, an iron-dependent cell death, may occur. Immunostaining and lipidomic an...

2024-07-11 | MTBLS3107 | MetaboLights
ProteomicsSerum integrative omics reveals the landscape of human diabetic kidney disease
Diabetic kidney disease (DKD) is the most common microvascular complication of type 2 diabetes mellitus (2-DM). Currently, urine and kidney biopsy specimens are the major clinical resources for DKD diagnosis. The diagnostic values of blood in monitoring the onset and progression of DKD have not been...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2021-05-22 | MSV000087487 | MassIVE
ProteomicsUrinary Proteomic Spectra Analysis Based on Machine Learning for Classification of Kidney Diseases
To extract urinary proteome spectral features based on advanced mass spectrometer and machine learning algorithms, it could get more accurate reporting results for disease classification. We tried to establish a novel diagnosis model of kidney diseases by combining machine learning XGBoost algorithm...
ORGANISM(S): Homo sapiens (Human) 
2022-09-13 | PXD018996 | Pride
Kidney disease classification  urinary proteomics  machine learning algorithm  diagnosis 
TranscriptomicsTranscriptional profiling of human kidney samples to discover gene signatures of progression and metastasis in renal cell cancer
In order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene exp...
ORGANISM(S): Homo sapiens 
2009-04-28 | E-GEOD-15641 | biostudies-arrayexpress
UnknownExpanded Imaging Classification of Autosomal Dominant Polycystic Kidney Disease.
Not available
S-EPMC7350997 | biostudies-literature
TranscriptomicsBIOMARGIN study: Gene expression profiling in patients with a kidney transplantation
Microarrays were used to analyze the gene expression in peripheral blood and kidney allograft biopsies from patients with a kidney transplantation to get more insight in the molecular mechanisms underlying the different clinical phenotypes of kidney transplant rejection. 117 peripheral blood samples...
ORGANISM(S): Homo sapiens 
2019-08-15 | E-GEOD-129166 | biostudies-arrayexpress
UnknownPhysicians' Recognition and Management of Kidney Disease: A Randomized Vignette Study Evaluating the Impact of the KDIGO 2012 CKD Classification System.
Not available
S-EPMC7380357 | biostudies-literature
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