E-GEOD-46298

NIAID Data Ecosystem2026-03-08 收录

神经退行性疾病基因

疾病生物标志物

数据链接：

https://www.omicsdi.org/dataset/atlas-experiments/E-GEOD-46298 数据链接链接失效反馈

官方服务：

资源简介：

Whole genome transcriptome analysis identifies indices of fast and slow disease progression in two ALS mouse models

创建时间：

2015-07-16

Molecular mapping of urinary complement peptides in kidney diseases

疾病生物标志物

补体肽组学分析

Abstract: Defective complement activation has been associated with various types of kidney disease. This led to the hypothesis that specific urine complement fragments may be associated with kidney di

NIAID Data Ecosystem90

Additional file 4 of Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning

腰椎间盘退变分类

疾病生物标志物

Additional file 4. Clinical data of the individual cohort included 10 NP tissues for flow cytometry sorting.

Figshare2025-08-29 更新50

Transcriptional dysregulation in a primary cortical neuron model of Huntington''s disease

亨廷顿病转录失调

神经退行性疾病基因

Transcriptional dysregulation in a primary cortical neuron model of Huntington''s disease Overall design: RNA-seq of primary cortical neurons transduced with control vector, wildtype Htt or Mutant Htt

NIAID Data Ecosystem20

Development of gene expression signatures for liver cirrhosis. Development of gene expression signatures for liver cirrhosis

疾病生物标志物

肝硬化

We sought to identify sensitive and noninvasive biomarkers for development and progression of post HBV infection liver cirrhosis. Overall design: To explore the different expression of lncRNAs in whol

NIAID Data Ecosystem70

Demographic characteristics and ccf-mtDNA in patients and controls.

疾病生物标志物

游离DNA分析

Demographic characteristics and ccf-mtDNA in patients and controls.

NIAID Data Ecosystem50