Identification and characteristics of microRNAs in rat abdominal aortic aneurysms

ChEBI2010-09-18 更新2026-07-21 收录

主动脉瘤分子机制

RNA生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-24194 数据链接链接失效反馈

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资源简介：

Identification and characteristics of microRNAs in rat abdominal aortic aneurysms

创建时间：

2010-09-18

CTE RNASeq association with APOE and TMEM. CTE RNASeq association with APOE and TMEM

神经退行性疾病基因

RNA生物标志物

CTE RNASeq association with APOE and TMEM. It is known that APOE is a risk factor of CTE. This study will look at differences between CTE stages - mild and severe, including associations with age, APO

NIAID Data Ecosystem110

Machine learning-assisted classification of responders and non-responders to bortezomib treatment regimens PAD and VCD using new experimental dataset of 58 multiple myeloma RNA sequencing profiles

多发性骨髓瘤药物响应与抗性

RNA生物标志物

Multiple myeloma (MM) is a hematological cancer which arises from abnormal antibody producing white blood plasma cells. MM affected approximately 500 000 people and results in ~100 000 deaths annually

NIAID Data Ecosystem100

tsRNAs Are Potential Biomarkers of Acute Rejection in Vascularized Composite Allotransplantation

器官移植急性排斥

RNA生物标志物

Purpose: to explore the function and mechanism of acute rejection in vascularized composite allotransplantation Method: tRF & tiRNA profiles of acute rejection in vascularized composite allotransplant

NIAID Data Ecosystem40

Table2_RNA Sequencing of Cardiac in a Rat Model Uncovers Potential Target LncRNA of Diabetic Cardiomyopathy.XLSX

糖尿病心肌病机制研究

RNA生物标志物

Background: Diabetic cardiomyopathy (DCM) is one of the major causes of heart failure in diabetic patients; however, its pathogenesis remains unclear. Long non-coding RNAs (lncRNAs) are involved in th

NIAID Data Ecosystem110

Additional file 4: of Expression levels of long non-coding RNAs are prognostic for AML outcome

急性髓系白血病预后

RNA生物标志物

List of genes. Description of data: A list of differentially expressed genes in lncRNA subtypes. (XLSX 2264 kb)

NIAID Data Ecosystem70