Target genes of the up- and downregulated selective miRNAs.
收藏NIAID Data Ecosystem2026-03-13 收录
数据链接：
官方服务：
资源简介：
(XLSX)
应用场景：
创建时间：
2021-11-04
相关数据集
Transcriptomes of miR-290-295 KO mESCs treated with siPOOLs against the transcription factor Tfap4
In order to identify direct microRNA targets in mouse embryonic stem cells (mESCs), we knocked out microRNA effector genes, profiled their transcriptomes and integrated the data with additional publis
NIAID Data Ecosystem40
Robust partitioning of microRNA targets from downstream regulatory changes [AGO-eCLIP-seq]
The biological impact of microRNAs is determined by their targets, and robustly identifying direct miRNA targets remains challenging. Existing methods suffer from high false-positive rates and are una
NIAID Data Ecosystem30
Identification of mRNAs Recruited to Argonaute 2 by Specific microRNAs and Corresponding Changes in Transcript Abundance
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem20
MiR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction [IV]. Homo sapiens
Identifying the interaction partners of non-coding RNAs is essential for elucidating their functions. We have developed an approach, termed microRNA-cross-linking and immunoprecipitation (miR-CLIP), u
NIAID Data Ecosystem40
Additional file 3: of RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets
Summary of enriched and underrepresented genes. Summary of enriched and underrepresented genes in AGO2 and GW182-IP vs FT comparisons performed by SAMR (column 2–3). The enrichment results obtained wi
Figshare2019-10-24 更新30
