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Output of miR-21 Target Prediction using TargetScan
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Additional file 5: of Genome-wide analysis of long non-coding RNAs affecting roots development at an early stage in the rice response to cadmium stress
Table S7. Pathways and proportions after KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis of differentially expressed target genes in trans in the root. KEGG pathways significantly enriched in
NIAID Data Ecosystem130
Neisseria meningitidis NM3683
tRNAs decoding standard 20 AA 61 Selenocysteine tRNAs (TCA) 0 Possible suppressor tRNAs (CTA,TTA,TCA) 0 tRNAs with undetermined or unknown isotypes 0 Predicted pseudogenes 1 Total tRNAs 62
Genomic tRNA Database40
miRNA analysis to identify common targets for GSK3. Mus musculus
common targets with different GSK3 inhibition approaches Overall design: mice were treated with siRNA forGSK3b or GSK3 inhibitors, and sacrificed 24 h later, RNA were extracted from hippocampus and se
NIAID Data Ecosystem10
The number of predicted miRNA targets, which include the functional one being examined, in different databases.
The number of predicted miRNA targets, which include the functional one being examined, in different databases.
NIAID Data Ecosystem50
Additional file 12 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study
Additional file 12: Table S12. Putative target genes of differential miRNAs.
Figshare2021-01-09 更新10
