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821 significant genes from time series analysis using maSeqPro.

NIAID Data Ecosystem2026-03-13 收录

数据链接：

https://figshare.com/articles/dataset/821_significant_genes_from_time_series_analysis_using_maSeqPro_/17943735 数据链接链接失效反馈

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资源简介：

Clusters, p-values, and counts per million (CPM) are provided. (TXT)

应用场景：

创建时间：

2022-01-06

心肌细胞去分化机制

时序基因表达分析

Cellular dedifferentiation signifies the withdrawal of cells from a specific differentiated state into a ‘stem cell’-like undifferentiated state. However, the mechanism of dedifferentiation remains ob

NIAID Data Ecosystem30

Significant GO Biological Process Terms Illustrating Sequential Adaptation of N202 Cells to Brain Tissue.

肿瘤微环境适应性

时序基因表达分析

Several functions important in tumor development are prominently represented in genes grouped by their expression behavior over time. The group designation (KMG) references the groups in Fig. 2, such

Figshare2015-12-02 更新20

Temporal pattern of skeletal muscle gene expression following endurance exercise in Alaskan sled dogs

运动生理学

时序基因表达分析

Background: Muscle responses to exercise are complex, and potentially include acute responses to exercise-induced injury as well as longer-term adaptive training responses. Using Alaskan sled dogs as

NIAID Data Ecosystem10

E-GEOD-92302

水稻穗发育

时序基因表达分析

Temporal analysis of mRNA from panicle tissue from field grown rice

NIAID Data Ecosystem30

Retinoic acid-induced neuroblastoma cells. Mus musculus

神经母细胞瘤药物诱导

时序基因表达分析

TESS_Neuro2A series Set of microarray expreriments used to identify genes of TESS library differentially expressed in Murine Neuroblastomas cells Neuro2A induced with Retinoic Acid treatment for 24 h,

NIAID Data Ecosystem20

821 significant genes from time series analysis using maSeqPro.

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