Identification of active microRNA/transcription factor feed-forward loops during human adipogenesis

ChEBI2011-12-20 更新2026-07-21 收录

脂肪细胞分化

调控网络分析

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https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-29186 数据链接链接失效反馈

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Identification of active microRNA/transcription factor feed-forward loops during human adipogenesis

创建时间：

2011-12-20

Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]. Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]

神经元细胞命运编程

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Technologies to reprogram cell-type specification have revolutionized the fields of regenerative medicine and disease modeling. Currently, the selection of fate-determining factors for cell reprogramm

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Human adipose stem and progenitor cells across brown and white depots split into Adipogenic and SWAT cells during early differentiation

脂肪细胞分化

单细胞RNA测序

Human adipose stem and progenitor cells (ASPCs) develop into heterogenous cultures of adipogenic and Structural Wnt-regulated Adipose Tissue resident (SWAT) cells upon induction of adipogenic differen

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Downregulated miR-29a/b/c during Contact Inhibition Stage Promote 3T3-L1 Adipogenesis by Targeting DNMT3A

脂肪细胞分化

表观遗传调控

Differentiation of 3T3-L1 cells into adipocytes involves a highly-orchestrated series of events including contact inhibition (CI), clonal expansion, growth arrest, and terminal differentiation. Recent

NIAID Data Ecosystem30

Punica granatum Transcriptome. Punica granatum

果实发育转录组

调控网络分析

Fruits of 'Taishanhong' pomegranate at developmental stages S1, S2 and S3 were collected, of which mRNA from peels was sequenced by Illumina HiSeq 4000, respectively. Transcriptomes were used to eluci

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Data_Sheet_3_Dynamic TF-lncRNA Regulatory Networks Revealed Prognostic Signatures in the Development of Ovarian Cancer.PDF

卵巢癌生物标志物

调控网络分析

The pathological development of ovarian cancer (OC) is a complex progression that depends on multiple alterations of coding and non-coding genes. Therefore, it is important to capture the transcriptio

NIAID Data Ecosystem30

Identification of active microRNA/transcription factor feed-forward loops during human adipogenesis

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