Transmembrane protein 33 (Tmem33), also known as SHINC-3, is a protein found in the endoplasmic reticulum (ER) that plays a role in the unfolded protein response (UPR) . The UPR is a cellular stress response that is activated when the ER is under stress, which can be caused by a variety of factors, including viral infection, nutrient deprivation, and toxins . During ER stress, Tmem33 modulates the PERK-eIE2α-ATF4 and IRE1-XBP1 axes of the UPR signaling pathways .
Tmem33 is an ER transmembrane molecule that binds to PERK (protein kinase RNA-like endoplasmic reticulum kinase) . It is expressed in various human tissues and cancer cell lines . Tmem33 appears to be localized to the ER, as demonstrated by immunofluorescence and biochemical fractionation analyses .
ER stress activates the UPR signaling cascade, potentially leading to apoptotic cell death, autophagy, oncogenesis, metastasis, or resistance to cancer therapies . Tmem33 influences the UPR by interacting with PERK and IRE1α (inositol-requiring enzyme 1 alpha) . Overexpression of Tmem33 increases the expression of p-eIF2α (phosphorylated eukaryotic translation initiation factor 2 alpha) and p-IRE1α (phosphorylated inositol-requiring enzyme 1 alpha), as well as their downstream effectors, ATF4-CHOP (activating transcription factor 4-CCAAT-enhancer-binding protein homologous protein) and XBP1-S (X-box binding protein 1 spliced), respectively, in breast cancer cells . Tmem33 overexpression also correlates with increased expression of apoptotic signals, such as cleaved caspase-7 and cleaved PARP (poly (ADP-ribose) polymerase), the autophagosome protein LC3II, and reduced expression of the autophagy marker p62 .
Tmem33 may function as a determinant of ER stress-responsive events in cancer cells . It also appears to be crucial for all life cycle stages of the malaria parasite, making it a potential antimalarial target .
TMEM33 primarily localizes to the endoplasmic reticulum (ER) membrane. Studies using C-terminal tagged TMEM33 have demonstrated consistent ER localization throughout blood and mosquito stages of parasite development . In mammalian cells, TMEM33-GFP shows clear co-localization with ER-specific markers such as ER tracker . Importantly, while TMEM33 is present at the ER, it is notably absent from the primary cilium in renal tubular epithelial cells, despite the presence of its interaction partner PC2 at this location . This distinct localization pattern suggests specialized functions of TMEM33 that are restricted to the ER compartment.
Mouse TMEM33 contains three conserved transmembrane domains which anchor it to the ER membrane. The protein's N and C termini are both predicted to face the cytosolic side , although alternative topologies have been proposed. Interaction studies reveal that:
The C-terminus of TMEM33 interacts with the N-terminus of PC2
The N-terminus of TMEM33 interacts with the C-terminus of PC2
TMEM33 forms a complex with RNF5 (an E3 ubiquitin ligase) and SCAP to regulate lipid homeostasis
Truncation experiments demonstrate that partial removal of the PC2 C-terminal domain reduces its interaction with TMEM33, indicating specific domain-domain interactions between these proteins .
TMEM33 is upregulated in 24 out of 33 cancer types compared to normal tissues
In cervical cancer specifically, TMEM33 shows:
TMEM33 is also a stress-inducible protein, with its expression increasing under ER stress conditions .
Based on commercially available recombinant mouse TMEM33 protein, researchers should consider the following specifications:
| Parameter | Specification |
|---|---|
| Source | Mammalian Cells |
| Tag | His |
| Form | Liquid or lyophilized powder |
| Endotoxin | < 1.0 EU per μg of protein (LAL method) |
| Purity | >80% |
| Storage | Short-term: +4°C; Long-term: -20°C to -80°C |
| Storage Buffer | PBS buffer |
For gene information reference:
Several successful approaches have been documented:
Knockout Strategies:
Double crossover homologous recombination has been effective for targeted deletion of TMEM33, replacing the coding sequence with eGFP and hDHFR drug selection marker cassettes
TMEM33 knockout in P. berghei resulted in severe reduction in asexual blood stage growth and abolished pathogenicity
Tagging Methods:
C-terminal mNeonGreen tagging through double crossover homologous recombination successfully generated fluorescently labeled TMEM33 without affecting function
Both N-terminal (HA-TMEM33) and C-terminal (TMEM33-HA) tagging approaches have been validated for immunoprecipitation studies
Expression Systems:
Conditional expression systems using doxycycline-inducible promoters allow controlled TMEM33 expression at physiological levels (TMEM33/TOP1 ratio of approximately 0.2)
Multiple complementary approaches have proven effective:
Co-immunoprecipitation:
Successfully demonstrated interactions between TMEM33 and PC2
Both overexpressed tagged versions and endogenous proteins can be co-immunoprecipitated
Yeast-2-hybrid:
LexA/B42 based Grow'n'Glow system confirmed interactions between:
Proximity Ligation Assay:
Mass Spectrometry:
Identified 73 peptides of PC2 co-purified with TMEM33 (versus 0 in control conditions)
Revealed proteome-wide changes induced by TMEM33 overexpression
TMEM33 shows strong associations with cancer progression and patient outcomes:
Expression Pattern:
Significantly upregulated in 24 of 33 cancer types compared to normal tissues
Higher expression in adenosquamous compared with squamous cell carcinoma of cervical cancer
Prognostic Value:
Multivariate Analysis:
| Variable | Hazard Ratio (95% CI) | p Value |
|---|---|---|
| TMEM33 (High vs Low) | 3.739 (1.189-11.758) | 0.024* |
| T4 stage | 84.580 (7.056-1013.898) | <0.001*** |
| N1 stage | 2.760 (1.023-7.442) | 0.045* |
Functional Studies:
Knockdown of TMEM33 in cervical cancer cells significantly decreased proliferation in both HeLa and SiHa cells
TMEM33 expression correlates with tumorigenesis-related genes RNF4, OCIAD1, TMED5, DHX15, MED28, and LETM1
TMEM33 is a novel regulator of ER stress and UPR signaling:
UPR Pathway Regulation:
Overexpression of TMEM33 leads to increased phosphorylation of:
Downstream Effects:
TMEM33 overexpression increases expression of:
Autophagy Modulation:
TMEM33 stimulates autophagic flux under basal conditions
During tunicamycin-mediated ER stress, TMEM33 attenuates autolysosome degradation
TMEM33 plays a crucial role in regulating lipid metabolism through a novel mechanism:
Complex Formation:
TMEM33 forms a triple complex with:
Mechanism of Action:
Overexpression of TMEM33 triggers polyubiquitination of SCAP
This leads to decreased SCAP protein levels
TMEM33 recruits RNF5 to promote SCAP degradation
Knockdown of RNF5, abrogates TMEM33-induced SCAP polyubiquitination
Interaction Domains:
The sterol-sensing domain (aa 280-445) of SCAP is the main region that interacts with TMEM33
TMEM33 expression inversely correlates with SCAP protein levels, but positively correlates with RNF5 levels
Downstream Effects:
TMEM33 overexpression decreases proteins related to cholesterol and fatty acid synthesis
This effect on lipid metabolism may contribute to cancer cell growth regulation
TMEM33 plays a sophisticated role in calcium regulation:
Interaction with PC2:
TMEM33 forms a complex with Polycystin-2 (PC2), a calcium-permeable non-selective cation channel
This interaction occurs at the ER membrane but is absent at the primary cilium
Calcium Signaling Modulation:
TMEM33 reduces intracellular calcium content in a PC2-dependent manner
It impairs lysosomal calcium refilling
This alteration leads to translocation of cathepsins and NAG from lysosomes to the cytosol
Functional Consequences:
The decrease in IP3 signaling mediated by TMEM33 impacts:
TMEM33 plays critical roles in parasite development:
Localization and Expression:
In Plasmodium berghei, TMEM33 localizes to the ER throughout blood and mosquito stages of development
Knockout Effects:
Targeted deletion of TMEM33 demonstrates its importance for:
Molecular Mechanism:
Development Impact:
Deletion of TMEM33 caused severe reduction in:
Researchers encountering conflicting data should consider:
Context-Dependent Functions:
TMEM33 exhibits tissue-specific and condition-specific effects:
Methodological Considerations:
Expression Level Control:
Interaction Partner Analysis:
Pathway Assessment:
Simultaneously evaluate multiple pathways affected by TMEM33:
ER stress markers (p-eIF2α, p-IRE1α, ATF4, XBP1-S)
Autophagy markers (LC3II, p62)
Lipid metabolism indicators (SREBP activation, SCAP levels)
Calcium homeostasis (IP3 signaling, lysosomal calcium)
Timing Considerations:
Assess immediate versus long-term effects of TMEM33 manipulation
Evaluate effects under both basal and stress-induced conditions
Based on current understanding, several therapeutic approaches warrant investigation:
Cancer Therapeutics:
TMEM33 inhibitors could potentially slow cancer progression given:
ROC curve analysis (AUC: 0.881) supports development of TMEM33 as a diagnostic biomarker for cervical cancer
Anti-parasitic Strategies:
TMEM33 represents a potential drug target for malaria treatment:
Lipid Metabolism Disorders:
Modulating the TMEM33-RNF5-SCAP axis could provide therapeutic benefits for:
ER Stress-Related Conditions:
Targeting TMEM33's role in ER stress response could benefit conditions where UPR dysregulation contributes to pathology
Several methodological approaches could advance TMEM33 research:
Structural Biology:
Cryogenic electron microscopy of TMEM33 complexes with interaction partners
Structure-based drug design targeting specific TMEM33 domains
Real-Time Imaging:
Live-cell calcium imaging to monitor TMEM33 effects on calcium dynamics
FRET-based sensors to detect TMEM33 conformational changes or interactions
Multi-omics Integration:
Combined proteomics, lipidomics, and transcriptomics to comprehensively map TMEM33-dependent pathways
Single-cell analyses to resolve heterogeneous responses in complex tissues
In Vivo Models:
Tissue-specific and inducible TMEM33 knockout mouse models
Humanized mouse models expressing patient-derived TMEM33 variants
Chemical Biology:
Development of small molecule modulators of TMEM33 function
Photocrosslinking approaches to map transient interaction surfaces