Genome-wide mapping of eIF3-RNA interactions in Jurkat cells using PAR-CLIP
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE191306 | GEO | 2021/12/23
REPOSITORIES: GEO
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Project description:Regulation of protein synthesis is fundamental for all aspects of eukaryotic biology by controlling development, homeostasis, and stress responses. The 13-subunit, 800-kDa eukaryotic initiation factor 3 (eIF3) organizes initiation factor and ribosome interactions required for productive translation. However, current understanding of eIF3 function does not explain genetic evidence correlating eIF3 deregulation with tissue-specific cancers and developmental defects. Here we report the genome-wide discovery of human transcripts that interact with eIF3 using photo-activatable crosslinking and immunoprecipitation (PAR-CLIP). eIF3 binds to a highly specific programme of messenger RNAs (mRNAs) involved in cell growth control processes, including cell cycling, differentiation, and apoptosis, via the mRNA 5' untranslated region (5' UTR). Surprisingly, functional analysis of the interaction between eIF3 and two mRNAs encoding cell proliferation regulators, c-Jun and BTG1, reveals that eIF3 employs different modes of RNA stem loop binding to exert either translational activation or repression. Our findings illuminate a new role for eIF3 in governing a specialized repertoire of gene expression and suggest that binding of eIF3 to specific mRNAs could be targeted to control carcinogenesis. 293T cells were treated with 4-thiouridine and protein-RNA complexes were crosslinked, and eIF3-RNA complexes were immunoprecipitated.
2015-04-06 | E-GEOD-65004 | biostudies-arrayexpress
Project description:Regulation of protein synthesis is fundamental for all aspects of eukaryotic biology by controlling development, homeostasis, and stress responses. The 13-subunit, 800-kDa eukaryotic initiation factor 3 (eIF3) organizes initiation factor and ribosome interactions required for productive translation. However, current understanding of eIF3 function does not explain genetic evidence correlating eIF3 deregulation with tissue-specific cancers and developmental defects. Here we report the genome-wide discovery of human transcripts that interact with eIF3 using photo-activatable crosslinking and immunoprecipitation (PAR-CLIP). eIF3 binds to a highly specific programme of messenger RNAs (mRNAs) involved in cell growth control processes, including cell cycling, differentiation, and apoptosis, via the mRNA 5' untranslated region (5' UTR). Surprisingly, functional analysis of the interaction between eIF3 and two mRNAs encoding cell proliferation regulators, c-Jun and BTG1, reveals that eIF3 employs different modes of RNA stem loop binding to exert either translational activation or repression. Our findings illuminate a new role for eIF3 in governing a specialized repertoire of gene expression and suggest that binding of eIF3 to specific mRNAs could be targeted to control carcinogenesis.
2015-04-06 | GSE65004 | GEO
Project description:Genome-wide mapping of eIF3-RNA interactions in Jurkat cells using PAR-CLIP
| PRJNA790960 | ENA
Project description:Stem cell differentiation involves a global increase in protein synthesis to meet the demands of specialized cell types. However, the molecular mechanisms underlying this translational burst and the involvement of initiation factors remains largely unknown. Here, we investigate the roles of eukaryotic initiation factor 3 (eIF3) in early differentiation of human pluripotent stem cell (hPSC)-derived neural progenitor cells (NPCs). Using Quick-irCLIP and alternative polyadenylation (APA)-Seq, we show eIF3 crosslinks to many neurologically relevant mRNAs in NPCs. Our data reveal eIF3 predominantly interacts with 3’ untranslated region (3’-UTR) termini of multiple mRNA isoforms, adjacent to the poly(A) tail. High eIF3 crosslinking at 3’-UTR termini of mRNAs correlates with high translational activity, as determined by ribosome profiling. We identify the transcriptional regulator inhibitor of DNA binding 2 (ID2) mRNA as a case in which active translation levels and eIF3 crosslinking are dramatically increased upon early NPC differentiation. Furthermore, we find that eIF3 engagement at 3’-UTR ends is dependent on polyadenylation. The results presented here show that eIF3 engages with 3’-UTR termini in highly translated mRNAs, supporting a role of mRNA circularization in the mechanisms governing mRNA translation in NPCs.
2023-12-08 | GSE246786 | GEO
Project description:Stem cell differentiation involves a global increase in protein synthesis to meet the demands of specialized cell types. However, the molecular mechanisms underlying this translational burst and the involvement of initiation factors remains largely unknown. Here, we investigate the roles of eukaryotic initiation factor 3 (eIF3) in early differentiation of human pluripotent stem cell (hPSC)-derived neural progenitor cells (NPCs). Using Quick-irCLIP and alternative polyadenylation (APA)-Seq, we show eIF3 crosslinks to many neurologically relevant mRNAs in NPCs. Our data reveal eIF3 predominantly interacts with 3’ untranslated region (3’-UTR) termini of multiple mRNA isoforms, adjacent to the poly(A) tail. High eIF3 crosslinking at 3’-UTR termini of mRNAs correlates with high translational activity, as determined by ribosome profiling. We identify the transcriptional regulator inhibitor of DNA binding 2 (ID2) mRNA as a case in which active translation levels and eIF3 crosslinking are dramatically increased upon early NPC differentiation. Furthermore, we find that eIF3 engagement at 3’-UTR ends is dependent on polyadenylation. The results presented here show that eIF3 engages with 3’-UTR termini in highly translated mRNAs, supporting a role of mRNA circularization in the mechanisms governing mRNA translation in NPCs.
2023-12-08 | GSE246727 | GEO
Project description:Translation initiation in eukaryotes is multi-step pathway and the most regulated phase of translation. Eukaryotic initiation factor 3 is the largest and most complex of the translation initiation factors, and it contributes to events throughout the initiation pathway. In particular, eIF3 appears to play critical roles in mRNA recruitment. More recently, eIF3 has been implicated in driving the selective translation of specific classes of mRNAs. However, unraveling the mechanism of these diverse contributions — and disentangling the roles of the individual subunits of the eIF3 complex — remains challenging. We employed ribosome profiling of budding yeast cells expressing two distinct mutations targeting the eIF3 complex. These mutations either disrupt the entire complex or subunits positioned near the mRNA-entry channel of the ribosome which appear to relocate during or in response to mRNA binding and start-codon recognition. Disruption of either the entire eIF3 complex or specific targeting of these subunits affects mRNAs with long 5’-untranslated regions and whose translation is more dependent on eIF4A, eIF4B, and Ded1 but less dependent on eIF4G, eIF4E, and PABP. Disruption of the entire eIF3 complex further affects mRNAs involved in mitochondrial processes and with structured 5’-untranslated regions. Comparison of the suite of mRNAs most sensitive to both mutations with those uniquely sensitive to disruption of the entire complex sheds new light on the specific roles of individual subunits of the eIF3 complex.
2022-01-11 | GSE190601 | GEO
Project description:Luteibacter flocculans strain:EIF3 Genome sequencing
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Project description:BACKGROUND: MicroRNAs (miRNAs) play a critical role in down-regulating gene expression. By coupling with Argonaute family proteins, miRNAs bind to target sites on mRNAs and employ translational repression. A large amount of miRNA-target interactions (MTIs) have been identified by the crosslinking and immunoprecipitation (CLIP) and the photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) along with the next-generation sequencing (NGS). PAR-CLIP shows high efficiency of RNA co-immunoprecipitation, but it also lead to T to C conversion in miRNA-RNA-protein crosslinking regions. This artificial error obviously reduces the mappability of reads. However, a specific tool to analyze CLIP and PAR-CLIP data that takes T to C conversion into account is still in need. RESULTS: We herein propose the first CLIP and PAR-CLIP sequencing analysis platform specifically for miRNA target analysis, namely miRTarCLIP. From scratch, it automatically removes adaptor sequences from raw reads, filters low quality reads, reverts C to T, aligns reads to 3'UTRs, scans for read clusters, identifies high confidence miRNA target sites, and provides annotations from external databases. With multi-threading techniques and our novel C to T reversion procedure, miRTarCLIP greatly reduces the running time comparing to conventional approaches. In addition, miRTarCLIP serves with a web-based interface to provide better user experiences in browsing and searching targets of interested miRNAs. To demonstrate the superior functionality of miRTarCLIP, we applied miRTarCLIP to two public available CLIP and PAR-CLIP sequencing datasets. miRTarCLIP not only shows comparable results to that of other existing tools in a much faster speed, but also reveals interesting features among these putative target sites. Specifically, we used miRTarCLIP to disclose that T to C conversion within position 1-7 and that within position 8-14 of miRNA target sites are significantly different (p value = 0.02), and even more significant when focusing on sites targeted by top 102 highly expressed miRNAs only (p value = 0.01). These results comply with previous findings and further suggest that combining miRNA expression and PAR-CLIP data can improve accuracy of the miRNA target prediction. CONCLUSION: To sum up, we devised a systematic approach for mining miRNA-target sites from CLIP-seq and PAR-CLIP sequencing data, and integrated the workflow with a graphical web-based browser, which provides a user friendly interface and detailed annotations of MTIs. We also showed through real-life examples that miRTarCLIP is a powerful tool for understanding miRNAs. Our integrated tool can be accessed online freely at http://miRTarCLIP.mbc.nctu.edu.tw.
| S-EPMC3549799 | biostudies-literature
Project description:Systematic analysis of the RNA-protein interactome requires robust and scalable methods. We here show the combination of two completely orthogonal, generic techniques to identify RNA-protein interactions: PAR-CLIP reveals a collection of RNAs bound to a protein whereas SILAC-based RNA pull-downs identify a group of proteins bound to an RNA. We investigated binding sites for five different proteins (IGF2BP1-3, QKI and PUM2) exhibiting different binding patterns. We report near perfect agreement between the two approaches. Nevertheless, they are non-redundant, and ideally complement each other to map the RNA-protein interaction network.
| S-EPMC3479200 | biostudies-literature
Project description:We utilized a large-scale proteomic profiling strategy to quantitatively measure ADP-riboxanation (and classical ADP-ribosylation) levels of host proteins upon introduction of bacterial effectors. Notably, we identified the eukaryotic translation initiation factor 3 (eIF3) complex as a novel target of the OspC family proteins. ADP-riboxanation of eIF3 resulted in inhibition of bulk protein synthesis and SG assembly in infected host cells, which promoted intracellular bacterial proliferation.
2024-01-18 | PXD048666 |