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miRNA predicted dysregulated targets at 6 hpi.
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2021-05-28
相关数据集
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
Affymetrix Human Exon 1.0 ST array assay of 15 human MLL-associated samples and 9 human normal bone marrow [HuEx-1_0-st]. Homo sapiens
To identify potential target genes of leukemia-related miRNAs such as miR-196b and miR-150 in human MLL-associated leukemia, we performed Affymetrix Human Exon 1.0 ST array assay of 15 human MLL-assoc
NIAID Data Ecosystem20
Proteins downregulated by miR-376c overexpression in HuCCT1 cells in proteomic analysis. *
*The protein spots that had significant differences in intensity between the control- and Pre-miR-376c-transfected HuCCT1 cells (down-regulation by more than 1.2-fold change, p≤0.011) are listed in pr
NIAID Data Ecosystem10
Total numbers of predicted targets and signal-to-noise (S∶N) ratios among human (RefSeq) mRNAs for the 181 human miRNAs with an ortholog in mouse, with and without requiring that the orthologous mouse miRNA have a target (under the same second-stage criterion) in the orthologous mouse mRNA.
Watson-Crick base pairs (WC bp) are at nucleotide positions 2–7 in every case. MS, mononucleotide shuffle; FOM, first-order Markov process; Lewis, control sequences from Lewis et al.[2] but based on o
NIAID Data Ecosystem20
Table_6_In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs.DOCX
The involvement of genes and miRNAs in the development of atherosclerosis is a challenging problem discussed in recent publications. It is necessary to establish which miRNAs affect the expression of
NIAID Data Ecosystem20
