GET4 (Gene ID: 51608) is a human protein encoded by the GET4 gene located on chromosome 7. It is a critical component of the transmembrane domain recognition complex (TRC), which facilitates the targeting and insertion of tail-anchored (TA) proteins into cellular membranes, particularly the endoplasmic reticulum (ER), Golgi, and mitochondria. Synonyms include C7ORF20, CGI-20, and TRC35. The protein interacts with GET5 and BAG6 to form a stable complex essential for TA protein biogenesis and membrane protein quality control .
GET4 operates in the TRC pathway, which:
Targets TA proteins: Recognizes hydrophobic transmembrane domains of TA proteins (e.g., syntaxin 5) and directs them to membrane insertion machinery .
Regulates protein stability: Forms a complex with GET5 and BAG6, stabilizing each other against proteasomal degradation .
Modulates organelle crosstalk: Interacts with mitochondrial-ER contact site (MERCS) components like IP3R1 and GRP75, influencing calcium signaling and organelle dynamics .
Mutations in GET4 have been linked to congenital disorders:
Mechanism: Defective TA protein targeting disrupts retrograde ER-to-Golgi transport. Proteasome inhibition (e.g., bortezomib) restores TRC protein levels and syntaxin 5 localization .
GET4 amplification and overexpression correlate with poor prognosis in CRC:
Loss of GET4 increases MERCS formation and mitochondrial calcium uptake, potentially impacting neurodegenerative diseases .
GET4 Human (Golgi to ER Traffic Protein 4 homolog) is a protein component of the BAT3 complex involved in post-translational delivery of tail-anchored (TA) membrane proteins to the endoplasmic reticulum membrane. The human recombinant form consists of a single polypeptide chain containing 350 amino acids (1-327) with a molecular mass of 38.9kDa. GET4 is typically produced with a 23 amino acid His-tag at the N-terminus for purification purposes .
The protein is also known by several synonyms including C7orf20, CEE, CGI-20, TRC35, Conserved edge-expressed protein, and Transmembrane domain recognition complex 35 kDa subunit. This variety of nomenclature reflects its identification across different research contexts and model systems .
GET4 functions primarily within the BAT3 complex to facilitate the targeting of tail-anchored (TA) membrane proteins to the endoplasmic reticulum. The mechanism involves a coordinated sequence where GET4 helps capture TA proteins that contain a single C-terminal transmembrane region. The complex specifically interacts with the transmembrane domain of newly released TA proteins and transfers them to ASNA1/TRC40 for appropriate cellular targeting .
This protein trafficking function is essential for proper cellular organization and function, as TA proteins comprise a significant subset of membrane proteins with critical roles in various cellular processes. The formulation capabilities of GET4 contribute to the precise molecular organization required for proper protein localization and function .
GET4 represents a specialized component in the sophisticated network of protein trafficking machinery that maintains cellular homeostasis. As part of the BAT3 complex, GET4 specifically addresses the challenge of post-translational membrane insertion for tail-anchored proteins, which cannot use the co-translational SRP-dependent pathway due to their C-terminal transmembrane domains only emerging from the ribosome after translation is complete .
This system demonstrates the logical formulation of cellular processes, where specialized mechanisms have evolved to handle proteins with specific structural characteristics. The GET pathway (Guided Entry of Tail-anchored proteins) provides a systematic solution to the trafficking challenge posed by TA proteins, with GET4 serving as a key mediator in this precisely formulated cellular mechanism .
For GET4 Human recombinant protein, stability is maximized under the following conditions:
Short-term storage (2-4 weeks): 4°C
Long-term storage: -20°C in a frozen state
For extended preservation, it is recommended to add a carrier protein (0.1% HSA or BSA)
Multiple freeze-thaw cycles should be avoided as they can compromise protein integrity
The standard formulation of the GET4 solution (0.5mg/ml) contains 20mM Tris-HCl buffer (pH 8.0), 10% glycerol, and 0.4M Urea. This specific buffer composition helps maintain protein stability and functionality. Researchers should note that any deviation from these storage parameters may result in diminished protein activity or precipitation .
Verifying GET4 functionality requires multiple approaches. While no specific assays are detailed in the provided search results, standard methodological approaches would include:
Interaction assays to confirm binding with other BAT3 complex components
Protein trafficking assays to monitor the movement of tail-anchored proteins
Co-immunoprecipitation experiments to validate in vivo protein-protein interactions
Membrane insertion assays to assess functional outcomes of GET4 activity
When designing such verification experiments, researchers should incorporate appropriate controls and consider the specific experimental context. For instance, when studying the role of GET4 in protein trafficking, one might employ contradiction detection methodologies to identify inconsistencies in experimental outcomes that could reveal novel aspects of GET4 function .
The experimental design should include a well-written protocol detailing all aspects of the methodology to ensure reproducibility and validity of results .
Based on the available information, Escherichia coli is a proven expression host for producing functional recombinant GET4 Human protein. The resulting protein demonstrates greater than 90% purity as determined by SDS-PAGE analysis .
When developing expression protocols, researchers should consider:
Optimization of codon usage for the expression host
Selection of appropriate affinity tags (His-tag being common for GET4)
Development of efficient purification protocols (GET4 is typically purified using proprietary chromatographic techniques)
Quality control metrics including SDS-PAGE verification of size and purity
The successful expression in E. coli suggests that GET4 does not require extensive post-translational modifications or specialized folding machinery, making bacterial expression systems sufficient for most research applications .
The mechanistic role of GET4 in tail-anchored protein targeting involves a precisely coordinated sequence of molecular interactions. GET4 functions as part of the BAT3 complex in a handoff mechanism that ensures proper delivery of TA proteins to the ER membrane .
The process follows this general pathway:
Initial recognition and capture of newly synthesized TA proteins by components of the BAT3 complex
GET4 facilitates interaction with the hydrophobic transmembrane region of the TA protein
The complex orchestrates the transfer of the TA protein to ASNA1/TRC40
ASNA1/TRC40 then guides the TA protein to the ER membrane for insertion
This logical formulation of sequential steps ensures that TA proteins, which cannot use co-translational insertion mechanisms, are properly delivered to their target membranes post-translationally. The process represents a sophisticated example of cellular problem-solving through structured molecular interactions .
For investigating GET4 protein-protein interactions, researchers should employ multiple complementary analytical approaches:
Structural analysis techniques: X-ray crystallography or cryo-EM to determine the three-dimensional arrangement of GET4 within the BAT3 complex
Binding affinity measurements: Surface plasmon resonance or isothermal titration calorimetry to quantify interaction strengths
Interaction mapping: Mutation analyses coupled with binding assays to identify critical residues
In vivo validation: Proximity labeling or FRET-based approaches to confirm interactions in cellular contexts
These methods should be implemented within a well-structured research protocol that clearly defines the research question and methodology . When interpreting interaction data, researchers should be mindful of potential contradictions that may arise between different experimental approaches and develop systematic frameworks for reconciling such discrepancies .
To investigate GET4 dysfunction in disease models, researchers should design experiments that systematically explore both loss and gain of function scenarios. A comprehensive experimental design would include:
Generation of cellular models:
CRISPR/Cas9-mediated GET4 knockout cell lines
Overexpression systems with wild-type and mutant GET4 variants
Inducible expression systems for temporal control
Phenotypic analyses:
Assessment of TA protein localization using fluorescence microscopy
Quantification of membrane protein levels using proteomics approaches
Cell viability and stress response measurements
Mechanistic investigations:
Analysis of BAT3 complex formation and stability
Trafficking kinetics for model TA proteins
ER homeostasis and unfolded protein response activation
The experimental design should follow rigorous protocol guidelines that clearly state objectives, methodologies, and expected outcomes . Researchers should anticipate potential contradictions in their findings and develop analytical frameworks to distinguish between direct and indirect effects of GET4 dysfunction .
When faced with contradictory findings in GET4 functional studies, researchers should implement a systematic approach to data reconciliation:
Methodological evaluation: Assess experimental designs for potential differences in conditions, cell types, or assay sensitivities that might explain contradictory outcomes
Context-dependent function analysis: Consider whether GET4 might exhibit different functions in different cellular contexts or under different conditions
Technical validation: Perform additional experiments using alternative methodologies to verify controversial findings
Data integration frameworks: Employ computational approaches to integrate seemingly contradictory datasets and identify patterns that might reveal higher-order insights
Contradiction detection methodologies can be particularly valuable in this context, as they provide structured approaches for identifying semantic inconsistencies in research findings . By systematically categorizing contradictions (e.g., temporal mismatches, logical inconsistencies), researchers can develop more nuanced understanding of GET4 function.
When designing research protocols for GET4 studies, researchers should pay particular attention to:
Clear objective definition: Specific, simple, and predetermined research questions should guide the study design
Comprehensive methodology: Detailed procedures for protein handling, experimental conditions, and analytical approaches
Quality control measures: Validation steps to ensure protein activity and specificity of observed effects
Appropriate controls: Both positive and negative controls to contextualize experimental findings
Data analysis plan: Predetermined analytical approaches and statistical methods
The protocol should be written down in full detail before beginning the research, as this forces investigators to clarify their thoughts about all aspects of the study. Once approved, the protocol should be strictly adhered to, with any deviations potentially compromising the validity of the findings .
An operations manual might also be developed for complex studies, providing detailed instructions to ensure uniform and standardized approaches with good quality control .
Differentiating between direct GET4 effects and secondary consequences requires thoughtful experimental design and rigorous analysis:
Temporal resolution studies: Time-course experiments to establish the sequence of events following GET4 manipulation
Dose-response relationships: Titration of GET4 levels to identify proportional responses indicative of direct effects
Interaction requirement testing: Use of GET4 mutants with selective disruption of specific protein-protein interactions
Rescue experiments: Complementation studies with wild-type GET4 after knockdown/knockout to confirm specificity
Immediate early response analysis: Identification of the first molecular changes following acute GET4 manipulation
These approaches should be implemented within a well-structured research protocol that clearly defines hypotheses, methods, and analytical strategies . When integrating data from multiple approaches, researchers should be mindful of potential contradictions and develop systematic frameworks for their resolution .
The formulation of clear hypotheses about direct GET4 effects versus secondary consequences represents an application of logical reasoning to complex biological questions—a process that mirrors the formulation capabilities associated with Gate 4 in other contexts .
Several promising research directions for GET4 remain underexplored and warrant further investigation:
Tissue-specific functions: Investigation of GET4 roles in different cell types and tissues, potentially revealing specialized functions beyond the established TA protein targeting
Regulatory mechanisms: Exploration of how GET4 activity is itself regulated through post-translational modifications or protein-protein interactions
Disease associations: Systematic analysis of GET4 expression and function in various disease states, particularly those involving ER stress or protein trafficking defects
Structural biology: Detailed structural characterization of GET4 interactions with other BAT3 complex components and client proteins
Evolutionary analysis: Comparative studies of GET4 across species to identify conserved and divergent features that might illuminate core functional properties
Research in these areas should be guided by well-designed protocols with clear objectives and methodology , while remaining attentive to potential contradictions that might emerge between different experimental approaches .
GET4 is involved in the guided entry of tail-anchored proteins into the ER membrane. Tail-anchored proteins are characterized by a single C-terminal transmembrane region. The BAT3 complex, which includes GET4, helps maintain these proteins in a soluble state and ensures their proper delivery to the ER. This process is essential for the correct insertion of these proteins into the ER membrane .
The BAT3 complex interacts with newly synthesized tail-anchored proteins at the ribosome. Together with other proteins such as SGTA and ASNA1, GET4 mediates the delivery of these proteins to the ER. This complex also plays a role in the quality control of misfolded proteins, directing them either to the ER for proper folding or to the proteasome for degradation .
GET4 is involved in several critical cellular processes, including:
Mutations or dysregulation of the GET4 gene can lead to several disorders. For instance, GET4 is associated with Congenital Disorder of Glycosylation, Type Iiy and Congenital Disorder of Glycosylation, Type In. These are genetic disorders that affect the glycosylation process, leading to a wide range of symptoms and developmental issues .
Recombinant GET4 protein is used in various research applications to study its function and role in cellular processes. Understanding the mechanisms involving GET4 can provide insights into the development of therapeutic strategies for diseases related to protein misfolding and ER-associated degradation .