Recombinant Human Transmembrane Protein 88B (TMEM88B) is a synthetic version of the endogenous human TMEM88B protein, engineered for research and therapeutic applications. It belongs to the transmembrane protein family, with structural and functional characteristics distinct from its paralog TMEM88. TMEM88B is encoded by the TMEM88B gene (Gene ID: 643965) located on chromosome 1 (GRCh38.p14) and spans 1,214 nucleotides . The protein comprises 163 amino acids, with a predicted molecular weight of ~17.2 kDa .
The N-terminal and C-terminal regions of TMEM88B are extracellular, with transmembrane domains spanning the lipid bilayer . The recombinant protein is produced with a Tris-based buffer and 50% glycerol for stability .
TMEM88B is computationally predicted to regulate canonical Wnt/β-catenin signaling, though experimental validation is lacking . Unlike TMEM88, which binds Dishevelled (Dvl) proteins to modulate Wnt pathways , TMEM88B’s mechanism remains uncharacterized.
| Interacting Partners | Predicted Role | Source |
|---|---|---|
| TMEM179 | Membrane trafficking or signaling | STRING |
| TMEM145 | Cellular membrane organization | STRING |
| FAM189A1 | Modulation of cellular processes | STRING |
The recombinant protein is expressed in a human system, with the full-length sequence (1–163 aa) retained . Key specifications include:
| Parameter | Value |
|---|---|
| Product Size | 50 µg (custom sizes available) |
| Tag Information | Determined during production (e.g., His-tag, GST-tag) |
| Storage Buffer | Tris-based buffer, 50% glycerol |
| Storage | -20°C or -80°C (avoid repeated freeze-thaw cycles) |
While not explicitly studied, TMEM88B may be used in:
Signaling Pathway Studies: Investigating its role in Wnt regulation.
Cancer Research: Exploring its potential as a biomarker or therapeutic target.
Protein Interaction Assays: Identifying binding partners.
| Gap | Potential Focus Area |
|---|---|
| Functional Validation | Experimental confirmation of Wnt pathway regulation |
| Subcellular Localization | Localization studies in cancer vs. normal tissues |
| Disease Association | Correlation with cancer prognosis or drug resistance |
TMEM88B (Transmembrane protein 88B) is a human transmembrane protein that belongs to the TMEM88 family. Unlike TMEM88, which is a two-transmembrane-type protein containing a conserved C-terminal valine-tryptophan-valine (VWV) motif, TMEM88B lacks this conserved VWV motif . This structural difference is significant because the VWV motif in TMEM88 enables binding to the PDZ domain of Dishevelled (Dvl), a key component in Wnt signaling pathways . Phylogenetic analysis places TMEM88B in a separate cluster from TMEM88, suggesting functional divergence between these proteins .
Detection of TMEM88B in tissue samples can be accomplished through several complementary techniques:
Immunohistochemistry (IHC): Using specific antibodies against TMEM88B for tissue staining. While the search results don't specify TMEM88B antibodies, similar approaches to TMEM88 detection using polyclonal antibodies would apply .
Western Blotting: For quantitative protein detection, though researchers should note that the observed molecular weight may differ from calculated weight due to post-translational modifications (as seen with TMEM88) .
RT-qPCR: For quantifying TMEM88B mRNA expression levels in tissues.
RNA-seq: For comprehensive transcriptome analysis, similar to the approach used to identify TMEM88 induction during cardiac differentiation .
While the search results don't provide specific TMEM88B expression data, researchers should investigate expression patterns across tissues using techniques similar to those employed for TMEM88. The related protein TMEM88 shows specific expression in cardiac progenitor cells and cardiogenic ventro-lateral mesoderm during development . Expression analysis through in situ hybridization in model organisms like zebrafish, as was done for TMEM88, would be valuable for understanding TMEM88B's spatial and temporal expression patterns .
Based on approaches used for TMEM88 research, the following models would be suitable for TMEM88B studies:
Zebrafish models: Particularly valuable for developmental studies, as demonstrated with tmem88a research. TALEN mutagenesis can be employed to generate gene knockouts .
Xenopus models: Useful for studying developmental processes and signaling pathway interactions .
Cell culture models: HEK293 cells have been successfully used for TMEM88 functional studies and would likely be appropriate for TMEM88B research as well .
The choice of model should align with the specific research question, considering that TMEM88B may have species-specific functions given the phylogenetic differences observed between orthologs .
While specific protocols for TMEM88B aren't detailed in the search results, researchers can adapt approaches used for TMEM88:
Expression vector selection: For mammalian expression, CMV promoter-driven vectors have been successfully used for TMEM88 .
Protein purification: For structural studies, purification methods would need to account for the transmembrane domains.
Protein tagging strategies: Consider C-terminal tagging to avoid interfering with the N-terminal domain or transmembrane regions.
Quality control: Use western blotting with specific antibodies to confirm expression and size. For TMEM88, there was a discrepancy between calculated (17.2 kDa) and observed (68 kDa) molecular weights, suggesting post-translational modifications that should be investigated for TMEM88B as well .
Based on successful approaches with TMEM88, researchers can employ:
RNAi-mediated knockdown: Short hairpin RNA (shRNA) or siRNA targeting TMEM88B transcripts, similar to the approach used for TMEM88 .
CRISPR-Cas9 genome editing: For generating knockout cell lines or animal models.
TALEN mutagenesis: Particularly effective in zebrafish models as demonstrated for tmem88a .
Morpholino knockdown: Especially useful for developmental studies in zebrafish or Xenopus models .
When designing target sequences, researchers should ensure specificity for TMEM88B to avoid off-target effects on TMEM88 or other related genes. For example, the study of tmem88a in zebrafish showed a 9 bp mismatch between tmem88a and tmem88b sequences, which prevented cross-targeting .
Research approaches to investigate TMEM88B's role in Wnt signaling should include:
Luciferase reporter assays: Using Lef-1 luciferase reporters to assess effects on Wnt/β-catenin signaling, as done with TMEM88 .
Co-immunoprecipitation studies: To identify protein interaction partners.
Subcellular localization analysis: To determine if TMEM88B localizes to cellular compartments relevant to Wnt signaling.
Functional rescue experiments: Expressing TMEM88B in TMEM88-deficient systems to test for functional redundancy.
To investigate TMEM88B's potential regulatory role in signaling pathways:
Overexpression studies: Similar to TMEM88 studies that showed dose-dependent attenuation of Wnt signaling .
Knockdown experiments: Using RNAi to reduce TMEM88B expression and observe effects on pathway activity .
Pathway-specific reporter assays: To quantitatively measure effects on different signaling pathways.
Epistasis experiments: Determining where in a signaling cascade TMEM88B acts by activating the pathway at different levels and observing if TMEM88B can still exert its effects.
For TMEM88, studies showed that it inhibits Wnt signaling induced by Dishevelled but not β-catenin, placing its activity upstream of β-catenin in the pathway . Similar approaches could determine TMEM88B's position in signaling cascades.
To investigate functional redundancy or compensation:
Double knockdown/knockout studies: Simultaneously targeting both TMEM88 and TMEM88B to detect enhanced phenotypes.
Rescue experiments: Testing if TMEM88B expression can rescue TMEM88 deficiency phenotypes, and vice versa.
Expression correlation analysis: Examining if upregulation of one gene occurs when the other is downregulated.
Domain swapping experiments: Creating chimeric proteins by exchanging domains between TMEM88 and TMEM88B to identify functionally important regions.
The tmem88a zebrafish mutant study provides an instructive example: despite predicted loss of protein function, mutants were viable with minimal phenotypes, suggesting possible compensatory mechanisms .
While TMEM88 has been identified as a critical regulator of cardiac development through inhibition of Wnt/β-catenin signaling in cardiac progenitor cells , the role of TMEM88B in cardiac development remains to be fully characterized.
To investigate TMEM88B's potential role:
Expression analysis: Determine if TMEM88B is expressed in cardiac progenitors or developing heart tissues.
Loss-of-function studies: Generate TMEM88B knockouts or knockdowns in model organisms and examine cardiac phenotypes.
Lineage-specific conditional knockouts: Target TMEM88B deletion to specific cardiac cell populations.
Epigenetic profiling: Analyze histone modifications at the TMEM88B locus during cardiac differentiation, similar to the approach that revealed dynamic regulation of TMEM88 during mesoderm and cardiac progenitor specification .
Morphological analysis: Examining gross developmental abnormalities in TMEM88B-deficient embryos.
Lineage marker expression: Analyzing expression of tissue-specific markers through in situ hybridization, as done for myeloid and erythrocyte markers in tmem88a mutants .
Functional assays: Testing physiological functions of potentially affected tissues, similar to the Sudan Black B staining used to assess neutrophil development in tmem88a mutants .
Long-term viability studies: Determining if TMEM88B deficiency affects survival to adulthood, as tmem88a mutants proved viable despite some marker expression changes .
Studies of tmem88a mutant zebrafish showed reduced expression of myeloid markers (spi1b, lyz) and erythrocyte markers (gata1a, hbbe1), although functional analyses with Sudan Black B staining and o-Dianisidine staining revealed no significant effects on neutrophil numbers or erythropoiesis .
To investigate TMEM88B's potential role in hematopoiesis:
Expression analysis: Determine TMEM88B expression in hematopoietic stem cells and differentiated blood cell lineages.
Colony formation assays: Test if TMEM88B manipulation affects hematopoietic progenitor differentiation in vitro.
Flow cytometry analysis: Quantify blood cell populations in TMEM88B-deficient models.
Transplantation experiments: Test cell-autonomous functions by transplanting TMEM88B-deficient hematopoietic stem cells.
Compare results with TMEM88 studies to identify unique versus overlapping functions in hematopoiesis.
For structural characterization of TMEM88B:
NMR spectroscopy: Similar to techniques used to confirm the interaction between Dvl's PDZ domain and TMEM88's C-terminal tail .
Fluorescence spectroscopy: To study protein-protein interactions, as demonstrated with TMEM88 and Dvl .
Cryo-electron microscopy: For high-resolution structural analysis of the transmembrane domains.
Circular dichroism: To analyze secondary structure elements.
When designing constructs for structural studies, researchers should consider the predicted transmembrane domains and ensure proper folding in the chosen expression system.
For comprehensive analysis of TMEM88B isoform expression:
RNA-seq analysis: To identify alternative splice variants in different tissues and developmental stages.
Isoform-specific PCR: Using primers that distinguish between isoforms.
Western blotting: To detect protein isoforms of different sizes.
Mass spectrometry: For proteomic identification of isoform-specific peptides.
For TMEM88, at least two isoforms are known to exist , suggesting TMEM88B may also have multiple isoforms that could have distinct functions.
To predict and analyze TMEM88B interactions:
Sequence-based prediction: Identifying conserved motifs or domains that mediate protein-protein interactions.
Structural modeling: Using comparative modeling based on related proteins with known structures.
Protein-protein docking simulations: To predict potential binding interfaces.
Network analysis: Examining protein interaction networks of related proteins like TMEM88.
Experimental validation of predicted interactions using techniques such as co-immunoprecipitation, proximity ligation assays, or yeast two-hybrid screens would be essential to confirm computational predictions.
The search results don't provide specific information about TMEM88B in disease contexts. To investigate potential disease associations:
Analysis of public gene expression databases: Search for altered TMEM88B expression in disease tissues compared to normal tissues.
Genome-wide association studies (GWAS): Examine if TMEM88B locus variants are associated with disease risk.
Mutation screening: Analyze patient cohorts for pathogenic variants in TMEM88B.
Functional studies: Test the effects of disease-associated variants on TMEM88B function.
Given TMEM88's role in Wnt signaling regulation , which is implicated in various diseases including cancer, researchers may want to investigate if TMEM88B has similar disease associations.
To investigate TMEM88B's potential role in cancer:
Expression analysis in tumor samples: Compare TMEM88B levels in tumors versus normal tissues.
Functional studies in cancer cell lines: Examine effects of TMEM88B manipulation on proliferation, migration, invasion, and drug resistance.
Pathway analysis: Determine if TMEM88B affects cancer-relevant signaling pathways, particularly Wnt signaling which is frequently dysregulated in cancer.
In vivo tumor models: Test if TMEM88B modulation affects tumor growth or metastasis.
The divergence between TMEM88 and TMEM88B in the VWV motif suggests they may have distinct roles in cancer biology, potentially affecting different aspects of Wnt signaling or other pathways.
For identifying compounds that modulate TMEM88B:
High-throughput screening: Using reporter assays to identify compounds that mimic or inhibit TMEM88B function.
Structure-based drug design: If structural data becomes available.
Phenotypic screening: Testing compound libraries for effects on TMEM88B-dependent cellular processes.
Target validation: Confirming that identified compounds specifically act through TMEM88B using genetic approaches (knockdown/overexpression).
When developing screening strategies, researchers should consider assays that can distinguish between direct TMEM88B binding and indirect effects on pathways regulated by TMEM88B.