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7 results for “SHAPE”

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  1. ARID5A RNA-binding coordinates microglial defense and ferroptosis in iPSC-derived models.

    Nature communications · 2026 · 17(1)

    RNA-binding proteins (RBPs) are key regulators of gene expression that shape cellular function in health and disease. However, the roles of RBPs in immune cells within the central nervous system (CNS) remain poorly understood. Here, we identify ARID5A as an …

    PMID 42717200 DOI ↗

  2. Decoding protein-RNA interactions using CLIP-based methodologies.

    Nature reviews. Genetics · 2024 · 25(12): 879-895

    Protein-RNA interactions are central to all RNA processing events, with pivotal roles in the regulation of gene expression and cellular functions. Dysregulation of these interactions has been increasingly linked to the pathogenesis of human diseases. High-throughput approaches to identify RNA-binding …

    PMID 38982239 DOI ↗

  3. fSHAPE, fSHAPE-eCLIP, and SHAPE-eCLIP probe transcript regions that interact with specific proteins.

    STAR protocols · 2021 · 2(3): 100762

    Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) structure probing techniques characterize the secondary structure of RNA molecules, which influence their functions and interactions. A variation of SHAPE, footprinting SHAPE (fSHAPE), probes RNA in the presence and absence of protein …

    PMID 34485935 DOI ↗

  4. Footprinting SHAPE-eCLIP Reveals Transcriptome-wide Hydrogen Bonds at RNA-Protein Interfaces.

    Molecular cell · 2020 · 80(5): 903-914.e8

    Discovering the interaction mechanism and location of RNA-binding proteins (RBPs) on RNA is critical for understanding gene expression regulation. Here, we apply selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) on in vivo transcripts compared to protein-absent transcripts in four …

    PMID 33242392 DOI ↗

  5. MicroRNA-101 Regulates Multiple Developmental Programs to Constrain Excitation in Adult Neural Networks.

    Neuron · 2016 · 92(6): 1337-1351

    A critical feature of neural networks is that they balance excitation and inhibition to prevent pathological dysfunction. How this is achieved is largely unknown, although deficits in the balance contribute to many neurological disorders. We show here that a microRNA …

    PMID 27939580 DOI ↗

  6. Differential L1 regulation in pluripotent stem cells of humans and apes.

    Nature · 2013 · 503(7477): 525-529

    Identifying cellular and molecular differences between human and non-human primates (NHPs) is essential to the basic understanding of the evolution and diversity of our own species. Until now, preserved tissues have been the main source for most comparative studies between …

    PMID 24153179 DOI ↗

  7. RNA sequence analysis defines Dicer's role in mouse embryonic stem cells.

    Proceedings of the National Academy of Sciences of the United States of America · 2007 · 104(46): 18097-102

    Short RNA expression was analyzed from Dicer-positive and Dicer-knockout mouse embryonic [corrected] stem (ES) cells, using high-throughput pyrosequencing. A correlation of miRNA quantification with sequencing frequency estimates that there are 110,000 miRNAs per ES cell, the majority of which can …

    PMID 17989215 DOI ↗

Datasets 12

GSE328331 GSE · GEO

Modulation of the DNA/RNA Binding Protein ARID5A Regulates Microglial Activation and Response [RIP-Seq]

Homo sapiens · Illumina

GSE290625 GSE · GEO

Modulation of the DNA/RNA Binding Protein ARID5A Regulates Microglial Activation and Response [eclip]

Homo sapiens · Illumina

GSE290765 GSE · GEO

Modulation of the DNA/RNA Binding Protein ARID5A Regulates Microglial Activation and Response [cutnrun]

Homo sapiens · Illumina

GSE290755 GSE · GEO

Modulation of the DNA/RNA Binding Protein ARID5A Regulates Microglial Activation and Response [rna-seq]

Homo sapiens · Illumina

GSE227455 GSE · GEO

RBP Footprint Grand Challenge: An evaluation of novel computational approaches to RNA-binding protein target prediction from structural data

Homo sapiens · GPL20301

GSE145805 GSE · GEO

RNA secondary structome of different cell lines

Homo sapiens, Mus musculus · GPL20795, GPL21273

GSE279065 GSE · GEO

LARP6 shapes the mRNA translation of fibrogenic genes

GPL24676

GSE279064 GSE · GEO

LARP6 shapes the mRNA translation of fibrogenic genes [RNA-seq]

GPL24676

GSE278725 GSE · GEO

LARP6 shapes the mRNA translation of fibrogenic genes [eCLIP]

GPL24676

GSE210437 GSE · GEO

Enhanced CLIP (eCLIP) identified differential UPF1 binding sites in mouse neural progenitor cells (NPCs) samples

Mus musculus · GPL24247

GSE149767 GSE · GEO

Footprinting SHAPE-eCLIP reveals transcriptome-wide hydrogen bonds at RNA-protein interfaces

Homo sapiens · GPL11154

GSE47626 GSE · GEO

Differential LINE-1 retrotransposition in induced pluripotent stem cells between humans and great apes

9598 · GPL11154

Analyses 5

GSE145805 SHAPE-seq Data Processing

GSE145805 · 7 steps · SHAPE-seq · geo_data_processing

Evaluation of novel computational methods to identify RNA-binding protein footprints from structural data. (2025)

GSE278725 eCLIP Data Processing

GSE278725 · 9 steps · eCLIP · geo_data_processing

LARP6 regulates the mRNA translation of fibrogenic genes in liver fibrosis. (2025)

GSE279064 eCLIP Data Processing

GSE279064 · 3 steps · eCLIP · geo_data_processing

LARP6 regulates the mRNA translation of fibrogenic genes in liver fibrosis. (2025)

GSE279065 eCLIP Data Processing

GSE279065 · 9 steps · eCLIP · geo_data_processing

LARP6 regulates the mRNA translation of fibrogenic genes in liver fibrosis. (2025)

GSE149767 Processing Pipeline

GSE149767 · 14 steps · OTHER · code_examples

Footprinting SHAPE-eCLIP Reveals Transcriptome-wide Hydrogen Bonds at RNA-Protein Interfaces. (2020)