The biochemical basis of microRNA targeting efficacy [3]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE140216 | GEO | 2019/11/27
REPOSITORIES: GEO
Similar Datasets
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140214 | GEO
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140215 | GEO
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140218 | GEO
Project description:MicroRNAs (miRNAs) act within Argonaute proteins to guide repression of mRNA targets. Although various approaches have provided insight into target recognition, the sparsity of miRNA–target affinity measurements has limited understanding and prediction of targeting efficacy. Here, we adapted RNA bind-n-seq to enable measurement of relative binding affinities between Argonaute–miRNA complexes and all ≤12-nucleotide sequences. This approach revealed noncanonical target sites unique to each miRNA, miRNA-specific differences in canonical target-site affinities, and a 100-fold impact of dinucleotides flanking each site. These data enabled construction of a biochemical model of miRNA-mediated repression, which was extended to all miRNA sequences using a convolutional neural network. This model substantially improved prediction of cellular repression, thereby providing a biochemical basis for quantitatively integrating miRNAs into gene-regulatory networks.
2019-11-27 | GSE140217 | GEO
Project description:MicroRNAs (miRNAs), in association with Argonaute (AGO) proteins, direct repression by pairing to sites within mRNAs. Compared to pairing preferences of the miRNA seed region (nucleotides 2–8), preferences of the miRNA 3′ region are poorly understood, due to the sparsity of measured affinities for the many pairing possibilities. We used RNA bind-n-seq with purified AGO2–miRNA complexes to measure relative affinities of >1,000 3′-pairing architectures for each miRNA. In some cases, optimal 3′ pairing increased affinity by >500-fold. Some miRNAs had two high-affinity 3′-pairing modes—one of which included additional nucleotides bridging seed and 3′ pairing to enable high-affinity pairing to miRNA nucleotide 11. The affinity of binding and the position of optimal pairing both tracked with the occurrence of G or oligo(G/C) nucleotides within the miRNA. These and other results advance understanding of miRNA targeting, providing insight into how optimal 3′ pairing is determined for each miRNA.
2022-03-31 | GSE174715 | GEO
Project description:MicroRNAs (miRNAs), in association with Argonaute (AGO) proteins, direct repression by pairing to sites within mRNAs. Compared to pairing preferences of the miRNA seed region (nucleotides 2–8), preferences of the miRNA 3′ region are poorly understood, due to the sparsity of measured affinities for the many pairing possibilities. We used RNA bind-n-seq with purified AGO2–miRNA complexes to measure relative affinities of >1,000 3′-pairing architectures for each miRNA. In some cases, optimal 3′ pairing increased affinity by >500-fold. Some miRNAs had two high-affinity 3′-pairing modes—one of which included additional nucleotides bridging seed and 3′ pairing to enable high-affinity pairing to miRNA nucleotide 11. The affinity of binding and the position of optimal pairing both tracked with the occurrence of G or oligo(G/C) nucleotides within the miRNA. These and other results advance understanding of miRNA targeting, providing insight into how optimal 3′ pairing is determined for each miRNA.
2022-03-31 | GSE196457 | GEO
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000530.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000530 | BioModels
Project description:MicroRNAs (miRNA) associate with Argonaute proteins and negatively regulate gene expression by base pairing with complementary sequences in the 3’ UTRs of target genes. De novo coding variants in the human Argonaute gene AGO1 were reported to cause neurodevelopmental disorder (NDD) with intellectual disability (ID). Most of the altered amino acids are conserved between the miRNA associated Argonautes in H. sapiens and C. elegans, suggesting that the human AGO1 mutations could disrupt evolutionarily conserved functions in miRNA biogenesis or target repression. We genetically modeled four human AGO1 mutations in C. elegans by introducing identical mutations into the C. elegans AGO1 homolog, ALG-1. These alg-1 NDD mutations caused phenotypes in C. elegans indicative of disrupted miRNA processing, miRISC formation, and/or target repression. We show that the alg-1 NDD mutations are antimorphic as they cause developmental and molecular phenotypes stronger than those exhibited by the alg-1 null mutants, likely by sequestrating functional miRNA silencing complex (miRISC) components into non-functional complexes that fail to confer robust gene repression. The alg-1 NDD mutations cause allele-specific disruptions in mature miRNA profiles, both in overall abundances and ALG-1 NDD association, accompanied by perturbation of downstream gene expression, including altered translational efficiency and/or mRNA abundance. The perturbed genes include those with human orthologs whose dysfunction is associated with NDD. These cross-clade genetic studies illuminate fundamental Argonaute functions and provide insights into the conservation of miRNA-mediated post-transcriptional regulatory mechanisms.
2023-12-30 | GSE252063 | GEO
Project description:MicroRNAs (miRNA) associate with Argonaute proteins and negatively regulate gene expression by base pairing with complementary sequences in the 3’ UTRs of target genes. De novo coding variants in the human Argonaute gene AGO1 were reported to cause neurodevelopmental disorder (NDD) with intellectual disability (ID). Most of the altered amino acids are conserved between the miRNA associated Argonautes in H. sapiens and C. elegans, suggesting that the human AGO1 mutations could disrupt evolutionarily conserved functions in miRNA biogenesis or target repression. We genetically modeled four human AGO1 mutations in C. elegans by introducing identical mutations into the C. elegans AGO1 homolog, ALG-1. These alg-1 NDD mutations caused phenotypes in C. elegans indicative of disrupted miRNA processing, miRISC formation, and/or target repression. We show that the alg-1 NDD mutations are antimorphic as they cause developmental and molecular phenotypes stronger than those exhibited by the alg-1 null mutants, likely by sequestrating functional miRNA silencing complex (miRISC) components into non-functional complexes that fail to confer robust gene repression. The alg-1 NDD mutations cause allele-specific disruptions in mature miRNA profiles, both in overall abundances and ALG-1 NDD association, accompanied by perturbation of downstream gene expression, including altered translational efficiency and/or mRNA abundance. The perturbed genes include those with human orthologs whose dysfunction is associated with NDD. These cross-clade genetic studies illuminate fundamental Argonaute functions and provide insights into the conservation of miRNA-mediated post-transcriptional regulatory mechanisms.
2023-12-30 | GSE252065 | GEO
Project description:MicroRNAs (miRNA) associate with Argonaute proteins and negatively regulate gene expression by base pairing with complementary sequences in the 3’ UTRs of target genes. De novo coding variants in the human Argonaute gene AGO1 were reported to cause neurodevelopmental disorder (NDD) with intellectual disability (ID). Most of the altered amino acids are conserved between the miRNA associated Argonautes in H. sapiens and C. elegans, suggesting that the human AGO1 mutations could disrupt evolutionarily conserved functions in miRNA biogenesis or target repression. We genetically modeled four human AGO1 mutations in C. elegans by introducing identical mutations into the C. elegans AGO1 homolog, ALG-1. These alg-1 NDD mutations caused phenotypes in C. elegans indicative of disrupted miRNA processing, miRISC formation, and/or target repression. We show that the alg-1 NDD mutations are antimorphic as they cause developmental and molecular phenotypes stronger than those exhibited by the alg-1 null mutants, likely by sequestrating functional miRNA silencing complex (miRISC) components into non-functional complexes that fail to confer robust gene repression. The alg-1 NDD mutations cause allele-specific disruptions in mature miRNA profiles, both in overall abundances and ALG-1 NDD association, accompanied by perturbation of downstream gene expression, including altered translational efficiency and/or mRNA abundance. The perturbed genes include those with human orthologs whose dysfunction is associated with NDD. These cross-clade genetic studies illuminate fundamental Argonaute functions and provide insights into the conservation of miRNA-mediated post-transcriptional regulatory mechanisms.
2023-12-30 | GSE252064 | GEO