E-GEOD-22278
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-22278 | ExpressionAtlas | 2015-09-15
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:A Novel Model of Common TLR4- and Injury induced transcriptional themes in Human Leukocytes (supported by NIH grant GM34695)
| PRJNA128705 | ENA
Project description:Drug-induced kidney injury, largely caused by proximal tubular intoxicants, limits development and clinical use of new and approved drugs. Assessing preclinical nephrotoxicity relies on animal models that are frequently insensitive, and thus, novel techniques, including human microphysiological systems, or “organs on chips,” are proposed to accelerate drug development and predict safety. Polymyxins are potent antibiotics against multidrug-resistant microorganisms; yet clinical use remains restricted because of high risk of nephrotoxicity and limited understanding of toxicological mechanisms. To mitigate risks, structural analogs of polymyxins (NAB739 and NAB741) are currently in clinical development. Using a microphysiological system to model human kidney proximal tubule, we exposed cells to polymyxin B (PMB) and observed significant increases of injury signals, including kidney injury molecule-1 KIM-1and a panel of injury-associated miRNAs (each P < 0.001). Surprisingly, transcriptional profiling identified cholesterol biosynthesis as the primary cellular pathway induced by PMB (P = 1.2 ×10–16), and effluent cholesterol concentrations were significantly increased after exposure (P < 0.01). Additionally, we observed no upregulation of the nuclear factor (erythroid derived-2)–like 2 pathway despite this being a common pathway upregulated in response to proximal tubule toxicants. In contrast with PMB exposure, minimal changes in gene expression, injury biomarkers, and cholesterol concentrations were observed in response to NAB739 and NAB741. Our findings demonstrate the preclinical safety of NAB739 and NAB741 and reveal cholesterol biosynthesis as the novel (to our knowledge) pathway for PMB- induced injury. To our knowledge, this is the first demonstration of a human-on-chip platform used for simultaneous safety testing of new chemical entities and defining unique toxicological pathway responses of an FDA-approved molecule.
2019-01-23 | GSE123264 | GEO
Project description:Our team has constructed a prediction model based on the expression level of lncRNA (lncRNA-UCID、NEAT1、ciRS-7) to predict the chronicization of radiation-induced acute intestinal injury (RAII) and verified the predictive efficacy of the system in retrospective studies. This clinical study intends to further prospectively verify the accuracy of this prediction model in rectal cancer patients. In this study, we plan to enroll 200 patients diagnosed with locally advanced rectal cancer by pathology and MRI, who undergo neoadjuvant chemoradiotherapy (NCRT) and total mesorectal excision (TME) and develop RAII during NCRT or within 1 month. We will follow up the occurrence and progression of radiation-induced intestinal injury within 1 year after TME. Expression levels of lncRNA will be detected in pathological tissue after TME and applied to the prediction model to predict the chronicization of RAII. Based on the clinical diagnosis of chronic radiation-induced intestinal injury, the area under curve (AUC), accuracy, precision, specificity, and sensitivity of this prediction model in predicting the chronicization of RAII will be evaluated. The main outcome hypothesis is that the AUC of chronicization of RAII predicted by the prediction model based on the expression level of lncRNA is more than 0.8.
| 9986 | ecrin-mdr-crc
Project description:Our team has constructed a prediction model based on the expression level of immune factors (PD-L1, PD-1, CTLA4, Siglec15) to predict the chronicization of radiation-induced acute intestinal injury (RAII) and verified the predictive efficacy of the system in retrospective studies. This clinical study intends to further prospectively verify the accuracy of this prediction model in rectal cancer patients. In this study, we plan to enroll 200 patients diagnosed with locally advanced rectal cancer by pathology and MRI, who undergo neoadjuvant chemoradiotherapy (NCRT) and total mesorectal excision (TME) and develop RAII during NCRT or within 1 month. We will follow up the occurrence and progression of radiation-induced intestinal injury within 1 year after TME. Expression levels of immune factors will be detected in pathological tissue after TME and applied to the prediction model to predict the chronicization of RAII. Based on the clinical diagnosis of chronic radiation-induced intestinal injury, the area under curve (AUC), accuracy, precision, specificity, and sensitivity of this prediction model in predicting the chronicization of RAII will be evaluated. The main outcome hypothesis is that the AUC of chronicization of RAII predicted by the prediction model based on the expression level of immune factors is more than 0.8.
| 9985 | ecrin-mdr-crc
Project description:The purpose of this study is to investigate the potential for visualizing radiofrequency-induced (RFA) and microwave-induced (MWA) hepatic thermal ablation lesions using a novel, high resolution, and freehand ultrasound elasticity imaging method in human subjects.
| 2075384 | ecrin-mdr-crc
Project description:To investigate whether axolotl could serve as a novel model organism for the study of kidney regeneration after severe renal injury. We established tubular injury model by intraperitoneal injection of gentamicin. We then performed gene expression profiling analysis using data obtained from RNA-seq of 5 different samples from Control or gentamicin-induced injury groups.
2023-10-10 | GSE228583 | GEO
Project description:Using snRNA-seq combined with spatial profiling of healthy and ALF explant human livers, we uncover a novel migratory hepatocyte subpopulation. We discover a corollary subpopulation in a mouse model of APAP-induced liver regeration, and demonstrate that this subpopulation meidates wound closure following liver injury.
2023-02-01 | GSE223581 | GEO
Project description:Using snRNA-seq combined with spatial profiling of healthy and ALF explant human livers, we uncover a novel migratory hepatocyte subpopulation. We discover a corollary subpopulation in a mouse model of APAP-induced liver regeration, and demonstrate that this subpopulation meidates wound closure following liver injury.
2023-02-01 | GSE223560 | GEO
Project description:Using snRNA-seq combined with spatial profiling of healthy and ALF explant human livers, we uncover a novel migratory hepatocyte subpopulation. We discover a corollary subpopulation in a mouse model of APAP-induced liver regeration, and demonstrate that this subpopulation meidates wound closure following liver injury.
2023-02-01 | GSE223559 | GEO
Project description:Using snRNA-seq combined with spatial profiling of healthy and ALF explant human livers, we uncover a novel migratory hepatocyte subpopulation. We discover a corollary subpopulation in a mouse model of APAP-induced liver regeration, and demonstrate that this subpopulation meidates wound closure following liver injury.
2023-02-01 | GSE223558 | GEO