The top15 DEMs included 22 miRNAs.

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://figshare.com/articles/dataset/The_top15_DEMs_included_22_miRNAs_/29307906 数据链接链接失效反馈

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资源简介：

Sheet 1 shows the top 15 differentially expressed miRNAs in the three groups of M1vsM7, M7vsM13, and M13vsM1, including 22 miRNAs after deduplication. Sheet 2 shows the top 15 differentially expressed miRNAs in the three groups of M1vsM7, M7vsM13, and M13vsM1. (XLSX)

创建时间：

2025-06-12

Additional file 2 of Screening of differentially expressed microRNAs and target genes in two potato varieties under nitrogen stress

植物氮胁迫响应

差异表达miRNA分析

Additional file 2: Figure 1. Analysis of variability among groups of differential miRNAsHN: excessive N application; LN: no N application; Y: Yanshu4; D: Atlantic;S: seedling stage; A: budding stage (

Figshare2022-10-08 更新30

Effect of normalization methods on the number of differentially expressed miRNAs detected by AGL arrays.

差异表达miRNA分析

微阵列数据

Agilent - Intra-platform. Significant miRNAs The mean number of differentially expressed miRNAs which were identified in distinctively normalized human and mouse myoblast differenti

NIAID Data Ecosystem20

Transcriptomic profiling of mRNA and miRNA from nasopharyngeal carcinoma (NPC) and normal control samples. Transcriptomic profiling of mRNA and miRNA from nasopharyngeal carcinoma (NPC) and normal control samples

鼻咽癌转录组学

差异表达miRNA分析

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem10

MiRNA-seq in blood of myasthenia gravis (MG) patients responder and non-responder to immunosuppressive treatment. MiRNA-seq in blood of myasthenia gravis (MG) patients responder and non-responder to immunosuppressive treatment

重症肌无力治疗反应生物标志物

差异表达miRNA分析

Purpose: to identify specific miRNAs as biomarkers associated with immunosuppressive treatment response in MG patients. Methods: Blood miRNome profiles of 15 responder and 15 non-responder MG patients

NIAID Data Ecosystem30

High-throughput sequencing analyze the differentially expressed miRNA of HUVECs after lncRNA uc003pxg.1 knockdown by siRNA compared with NC group. High-throughput sequencing analyze the differentially expressed miRNA of HUVECs after lncRNA uc003pxg.1 knockdown by siRNA compared with NC group

差异表达miRNA分析

miRNA-lncRNA互作机制

Sequencing of relevant miRNAs was performed in si-uc003pxg.1-transfected HUVECs and control HUVECs. Fourteen upregulated and 5 downregulated miRNAs were selected based on P-values and fold change valu

NIAID Data Ecosystem20

The top15 DEMs included 22 miRNAs.

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