Quantification of gene and miRNA expression and novel miRNA sequences

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/Quantification_of_gene_and_miRNA_expression_and_novel_miRNA_sequences/24182268 数据链接链接失效反馈

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Quantification of gene and miRNA expression and predicted novel miRNA sequences.

创建时间：

2023-09-22

The number of predicted miRNA targets, which include the functional one being examined, in different databases.

miRNA靶标预测

生物信息学比较

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

MLL白血病基因表达

miRNA靶标预测

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. *

差异蛋白质组学

miRNA靶标预测

*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.

miRNA靶标预测

比较基因组学

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

miRNA靶标预测

动脉粥样硬化

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

Quantification of gene and miRNA expression and novel miRNA sequences

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