首页/数据集/Differentially expressed genes in window trials are influenced by the wound healing process: lessons learned from a pilot study with Anastrozole

Differentially expressed genes in window trials are influenced by the wound healing process: lessons learned from a pilot study with Anastrozole

ChEBI2011-07-01 更新2026-07-21 收录

药物机制研究

生物标志物发现

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-26544 数据链接链接失效反馈

官方服务：

资源简介：

Differentially expressed genes in window trials are influenced by the wound healing process: lessons learned from a pilot study with Anastrozole

应用场景：

创建时间：

2011-07-01

蛋白质质谱

生物标志物发现

We have included human samples including bladder tissue, Cervical tissue, Colorectal tissue, diffuse large B-cell lymphoma, Gastric tissue, glioblastoma multiforme, K562 cell, thyroid tissue, Plasma,

国家人口健康科学数据中心10

Supplementary Material for: Uncovering of Key Pathways and miRNAs for Intracranial Aneurysm Based on Weighted Gene Co-Expression Network Analysis

颅内动脉瘤

生物标志物发现

Background: Intracranial aneurysm (IA) is a serious cerebrovascular disease. The identification of key regulatory genes can provide research directions for early diagnosis and treatment of IA. Methods

NIAID Data Ecosystem10

Rapid Metabolic Profiling of 1 μL Crude Cerebrospinal Fluid by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Can Differentiate De Novo Parkinson’s Disease

帕金森病诊断

生物标志物发现

Parkinson’s disease (PD) is a highly prevalent neurodegenerative disorder affecting the motor system. However, the correct diagnosis of PD and atypical parkinsonism may be difficult with high clinical

NIAID Data Ecosystem00

DataSheet1_RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases.DOCX

生物标志物发现

T细胞分化时间序列分析

Profiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlation

NIAID Data Ecosystem10

Data Sheet 7_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.csv

肾病分子机制

生物标志物发现

BackgroundDiabetic nephropathy (DN) is a common complication of diabetes, characterized by damage to renal tubules and glomeruli, leading to progressive renal dysfunction. The aim of our study is to e

NIAID Data Ecosystem00

Differentially expressed genes in window trials are influenced by the wound healing process: lessons learned from a pilot study with Anastrozole

资源简介：

相关数据集