Translation Initiation: EIF3I stabilizes the eIF3 complex, enabling ribosomal assembly and selective mRNA translation .
Selective mRNA Control: Promotes translation of pro-angiogenic factors (e.g., VEGFR2, ERK) in endothelial cells during tumor-induced angiogenesis .
TGF-β Signaling: Binds TGF-β type II receptor, modulating downstream SMAD activation .
PI3K-Akt Pathway: Enhances Akt1 activity, influencing cell survival and proliferation .
Oncogenic Role: Overexpression in tumors drives uncontrolled proliferation via ERK/VEGFR2 upregulation .
Angiogenesis: Hypoxia and tumor-derived signals elevate EIF3I in endothelial cells, promoting vascular growth .
Neurodevelopmental Defects: De novo missense variants in EIF3I correlate with intellectual disability, midline brain defects, and skeletal abnormalities .
VEGF/ERK Axis: eIF3i knockdown reduces polysome loading of VEGFR2/ERK mRNAs, impairing endothelial cell migration and tumor angiogenesis .
COX-2 Regulation: Modulates Wnt/β-catenin signaling via COX-2 synthesis, influencing tumor microenvironment dynamics .
EIF3I is one of the 12 subunits (a-m) comprising the eukaryotic translation initiation factor 3 (eIF3) complex in humans. As the most conserved subunit of eIF3, it serves as a protein scaffold for the formation of initiation complexes and supports basic functions of the whole eIF3 complex . The eIF3 complex orchestrates multiple stages of translation initiation, including binding to the 40S ribosomal subunit, stabilizing eIF2/Met-tRNA/GTP binding, facilitating mRNA recruitment, and preventing premature 60S subunit joining .
Methodologically, to study EIF3I's contribution to complex formation, researchers typically employ:
Reconstitution of human eIF3 using baculovirus or E. coli expression systems
Cryo-EM reconstructions to map subunit positions
Mutagenesis of specific domains followed by functional assays
Co-immunoprecipitation and protein interaction analyses
Determining EIF3I's structural position requires:
Tagging strategies: N-terminal MBP or GST tags can be used to map subunit locations through cryo-EM
Homology modeling: Based on comparisons with the proteasome lid architecture to identify core subunit arrangements
Cross-linking mass spectrometry: To identify proximity relationships between subunits
Mutagenesis of interaction interfaces: To validate structural predictions
The low-resolution (~15-20 Å) cryo-EM reconstruction of human eIF3 has revealed that despite its "blobology" level resolution, important RNA-binding motifs could be identified in various subunits, demonstrating how even limited structural data can yield mechanistic insights .
EIF3I contributes to specialized translation beyond its scaffolding role:
mRNA-specific regulation: EIF3I drives specialized translation of specific mRNAs through recognition of structured elements in their 5′-UTRs
RNA structure recognition: Similar to viral IRES elements, EIF3I may participate in binding specific RNA structures to modulate translation efficiency
Alternative initiation pathways: EIF3I likely participates in multiple molecular pathways of translation initiation beyond the canonical scanning mechanism
To investigate these specialized functions, researchers should employ:
Ribosome profiling comparing wild-type and EIF3I-mutant conditions
RNA immunoprecipitation followed by sequencing (RIP-seq)
Reporter assays with structured 5′-UTRs
CRISPR-based genetic screens to identify mRNAs dependent on EIF3I
EIF3I functions extend beyond translation to signaling pathway regulation:
PI3K-Akt signaling: EIF3I directly interacts with Akt1, modulating the PI3K-Akt signaling cascade
mTOR pathway: EIF3I intersects with the mTOR pathway, a central regulator of cell growth and protein synthesis
Potential MAPK/ERK pathway involvement: Some evidence suggests connections to MAPK/ERK signaling
For experimental investigation of these interactions, researchers should:
Perform co-immunoprecipitation assays with and without pathway stimulation
Conduct phosphorylation studies of downstream effectors
Employ proximity labeling approaches (BioID, APEX)
Use pharmacological inhibitors of specific pathways to dissect EIF3I's role
De novo missense variants in EIF3I have been identified in individuals with a novel neurodevelopmental disorder characterized by:
Researchers investigating these connections should:
Functional characterization: Study effects of patient variants on translation initiation and eIF3-driven specialized regulation
Signaling pathway analysis: Assess consequences on Akt activity modulation
Disease modeling: Generate patient-specific iPSCs or animal models expressing EIF3I variants
Structure-function analysis: Determine how mutations affect protein folding and complex assembly
The dysregulation of EIF3I expression may contribute to uncontrolled cell growth and cancer development . To investigate this connection:
Expression analysis: Compare EIF3I levels across tumor and normal tissues
Translation profiling: Identify cancer-related mRNAs whose translation depends on EIF3I
Signaling pathway assessment: Examine how EIF3I affects PI3K-Akt and mTOR pathways in cancer cells
Functional assays: Assess effects of EIF3I knockdown/overexpression on:
Cell proliferation
Migration
Invasion
Resistance to apoptosis
In vivo models: Evaluate tumor growth and metastasis in models with altered EIF3I expression
Cancer Type | EIF3I Expression Pattern | Associated Pathways | Potential Biomarker Value |
---|---|---|---|
Various cancers | Often upregulated | PI3K-Akt, mTOR | Potential therapeutic target |
This represents a significant challenge as EIF3I is integrated within the larger eIF3 complex. Recommended approaches include:
Structure-guided mutagenesis: Target specific domains without disrupting complex formation
Partial depletion studies: Titrate EIF3I levels to identify threshold effects
Comparison across species: Leverage differences in eIF3 composition between yeast and humans
Reconstitution experiments: Compare activities of eIF3 complexes with wild-type versus mutant EIF3I
Temporal control systems: Use inducible degradation to separate immediate from adaptive effects
The technical difficulty stems from EIF3I being among the most conserved subunits essential for basic eIF3 function , making complete separation challenging.
When studying pathogenic EIF3I variants:
Wild-type controls: Always compare to normal EIF3I function
Variant spectrum analysis: Include both known pathogenic and benign variants
Specificity controls: Compare to mutations in other eIF3 subunits
Rescue experiments: Test whether wild-type EIF3I can rescue mutant phenotypes
Cell type considerations: Test in multiple cellular contexts relevant to disease manifestation
Physiological expression levels: Avoid artifacts from overexpression systems
Emerging evidence suggests EIF3I may participate in alternative initiation pathways:
Cap-independent translation: EIF3I may facilitate translation of specific mRNAs through IRES-like mechanisms
Specialized ribosomes: EIF3I could contribute to the formation of specialized ribosomes with distinct translational properties
Stress response: EIF3I likely plays roles in stress-responsive translation reprogramming
Development-specific translation: EIF3I may regulate stage-specific translation during development, explaining neurodevelopmental phenotypes
Researchers should employ:
SHAPE-MaP RNA structure analysis of EIF3I-dependent mRNAs
Ribosome profiling under various stress conditions
Developmental stage-specific translation analysis
Proximity-specific ribosome profiling
Future research will benefit from:
High-resolution structural studies: Cryo-EM of EIF3I within initiation complexes beyond current "blobology" level (15-20 Å)
Single-molecule approaches: Track EIF3I dynamics during translation initiation in real-time
Protein-RNA interaction mapping: CLIP-seq and related technologies to identify EIF3I binding sites
Spatial transcriptomics and translation: Map cell type-specific EIF3I functions in tissues
Systems biology approaches: Integrate transcriptomic, proteomic, and translatomic data to build models of EIF3I function
Combining these approaches will help elucidate the dozens of different molecular pathways through which human translation initiation likely proceeds, with EIF3I playing key roles in many of them .
Eukaryotic Translation Initiation Factor 3 (eIF3) is a multiprotein complex essential for the initiation phase of eukaryotic translation. It plays a crucial role in the formation of the preinitiation complex (PIC) and the recruitment of mRNA to the ribosome. Among its subunits, eIF3I is a significant component that contributes to the overall function of the eIF3 complex.
The eIF3 complex in humans consists of 13 nonidentical subunits (eIF3a-m) with a combined molecular weight of approximately 800 kDa, making it the largest translation initiation factor . The eIF3I subunit is a single, non-glycosylated polypeptide chain containing 348 amino acids and has a molecular mass of 38.9 kDa . It is often produced recombinantly in E. coli or Sf9 Baculovirus cells for research purposes .
eIF3I, along with other subunits of the eIF3 complex, is involved in various steps of translation initiation. The eIF3 complex binds to the small ribosomal subunit (40S) and serves as a scaffold for several other initiation factors, including eIF1, eIF1A, eIF2, and eIF5 . This binding facilitates the formation of the 43S preinitiation complex (PIC), which is essential for the recruitment of mRNA and the scanning of the mRNA leader sequence for the start codon .
The eIF3 complex, including eIF3I, plays a pivotal role in the initiation of translation by:
Recombinant eIF3I is widely used in research to study the mechanisms of translation initiation and the role of individual subunits in this process. Structural studies, such as cryo-electron microscopy (cryo-EM), have provided insights into the interactions between eIF3I and other components of the translation machinery . Additionally, recombinant eIF3I is used to investigate its potential role in various diseases and to develop therapeutic interventions targeting translation initiation.