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Hepatic gene expression changes following antisense oligonucleotide-based inhibition of miR-29a
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2015-09-30
相关数据集
Additional file 5: of A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes
Table S3. The calculated values for all miRNAs expressed in Me45, K562, HCT116+/+ and HCT116â /â cells together with other characteristics of the miRNAs studied. (XLSX 345 kb)
Figshare2019-02-07 更新50
Expression data from mouse spleens after experimental stroke
Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular c
NIAID Data Ecosystem20
total RNA-seq from T-cell (ENCSR377UPT)
MouseF1 of C57BL/6 (f) x CAST Eij (m)_m.CD3_spleen_M_66days For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_
Alliance of Genome Resources10
Gene expression profile in livers from control or Wy-14643 treated MycF/F or MycF/F,ERT2-Cre mice
Genes responsible for the effects of PPARalpha agonist Wy-14643 on liver 4 groups were included, MycF/F+ con, MycF/F+ Wy, MycF/F, ERT2-Cre+ Con, MycF/F,ERT2-Cre+Wy
NIAID Data Ecosystem20
Growth-Promoting Role of the miR-106a∼363 Cluster in Ewing Sarcoma
MicroRNAs (miRs) have been identified as potent regulators of both normal development and the hallmarks of cancer. Targeting of microRNAs has been shown to have preclinical promise, and select miR-bas
Figshare2016-01-18 更新20
