Recombinant mouse Prdm11 is produced using mammalian or insect cell systems to ensure proper post-translational modifications. Common platforms include:
| Catalog No. | Host | Tag | Purity | Application |
|---|---|---|---|---|
| PRDM11-13311M | Mammalian Cells | His | >80% | Functional assays |
| Prdm11-015M | HEK293 | MYC/DDK | >80% | Protein interaction studies |
| PRDM11-7063M | HEK293 | Avi&Fc&His | >80% | Structural biology |
Sources: Creative BioMart , Antibodies-Online , Active Motif
HEK293 Cells: Preferred for high-yield soluble protein production with tags like Myc-DDK for affinity purification .
Baculovirus: Used for larger-scale production with FLAG tags .
Prdm11 Knockout Models: Accelerates MYC-driven B-cell lymphoma onset in Eµ-Myc mice, reducing survival .
Oncogene Regulation: Binds transcriptional start sites of FOS and JUN, repressing their expression (Figure 1) .
Apoptosis Induction: Overexpression triggers apoptosis in lymphoma cells .
Clinical Relevance: PRDM11-deficient diffuse large B-cell lymphomas (DLBCLs) correlate with poor prognosis .
Chromatin Interaction: Recruits histone-modifying enzymes (e.g., HDACs) to repress oncogenic pathways .
DNA Repair: Cooperates with mH2A1.2 to regulate double-strand break repair via BRCA1/53BP1 balance .
Prdm11 belongs to the PR-domain family of transcriptional regulators, several of which are deregulated in cancer. Research has established Prdm11 as a putative tumor suppressor that inhibits proliferation and induces apoptosis when overexpressed. Mechanistically, genome-wide mapping studies reveal that PRDM11 associates with transcriptional start sites of target genes and regulates important oncogenes such as FOS and JUN . The protein plays a critical role in controlling the expression of genes involved in cell proliferation and survival pathways.
Mouse Prdm11 contains the characteristic PR domain (PRDI-BF1 and RIZ homology domain), which is structurally related to the SET domain associated with histone methyltransferase activity. The complete open reading frame (ORF) of mouse Prdm11 consists of 1695 base pairs . The protein contains specific DNA-binding domains that facilitate its function as a transcriptional regulator.
| Domain | Position | Function |
|---|---|---|
| PR domain | N-terminal | Related to SET domain, potential histone methyltransferase activity |
| Zinc finger motifs | C-terminal | DNA binding and transcriptional regulation |
Several research tools have been developed for studying Prdm11, including expression plasmids such as the Myc-DDK-tagged Lenti ORF clone (pLenti-C-Myc-DDK-P2A-Puro vector), which enables effective transfection and expression in mammalian cells . Prdm11 knockout mouse models have been established and characterized, demonstrating that these mice are viable and suitable for investigating Prdm11 function in vivo . These knockout models provide valuable resources for studying the physiological and pathological roles of Prdm11.
Multiple lines of evidence support Prdm11's tumor suppressor function:
Research has demonstrated oncogenic collaboration between depletion of Prdm11 and overexpression of MYC. Specifically, loss of Prdm11 accelerates MYC-driven lymphomagenesis in the Eμ-Myc mouse model . This suggests that Prdm11 normally functions to counteract or suppress MYC-driven oncogenic programs. The interaction likely involves Prdm11's role in transcriptional regulation of genes involved in cell proliferation and apoptosis, creating a tumor-suppressive environment that is compromised when Prdm11 is lost or inactivated.
Effective methodological approaches include:
Genetic manipulation: Generating Prdm11 knockout or overexpression models in relevant cell lines using CRISPR-Cas9 or lentiviral expression systems .
Mouse models: Utilizing Prdm11 knockout mice crossed with cancer-prone models (such as Eμ-Myc) to study tumor progression and survival .
Transcriptome analysis: Performing RNA-seq to identify genes regulated by Prdm11 in normal and cancer cells.
ChIP-seq: Mapping genome-wide binding sites of Prdm11 to identify direct target genes .
Clinical correlation studies: Analyzing PRDM11 expression levels in patient samples and correlating with clinical outcomes .
Studies using Prdm11tm1.1ahl mutant mice demonstrate that Prdm11 plays a significant role in regulating airway inflammatory responses. When challenged with ovalbumin (OVA), these mice exhibit altered immune cell profiles compared to wild-type littermates .
Transcriptome analyses from lungs of challenged Prdm11tm1.1ahl mice revealed extensive changes in gene expression, with functional annotations primarily related to inflammation and airway smooth muscle (ASM) remodeling . This suggests that Prdm11 regulates multiple aspects of inflammatory responses, potentially through transcriptional control of key inflammatory mediators.
Based on published research, effective experimental designs include:
Challenge models: Using inflammatory stimuli (e.g., ovalbumin sensitization and challenge) in Prdm11 mutant and wild-type mice .
Cell profiling: Analyzing changes in immune cell populations in bronchoalveolar lavages and other relevant tissues .
Transcriptome analysis: Performing RNA-seq on inflamed tissues to identify Prdm11-regulated genes .
In vitro immune cell studies: Examining the effects of Prdm11 manipulation on immune cell function and cytokine production.
Adoptive transfer experiments: Transferring Prdm11-deficient immune cells to wild-type recipients to isolate cell-specific effects.
Genome-wide mapping of PRDM11 binding sites coupled with transcriptome sequencing in human DLBCL cells has revealed that PRDM11 associates with transcriptional start sites of target genes. Specifically, PRDM11 has been shown to regulate important oncogenes such as FOS and JUN . As a transcriptional regulator, Prdm11 likely influences the expression of numerous genes involved in cell proliferation, apoptosis, and inflammatory responses.
To distinguish between direct and indirect effects, researchers should employ a multi-faceted approach:
ChIP-seq analysis: Identify genome-wide Prdm11 binding sites to determine direct targets .
Motif analysis: Characterize DNA-binding motifs recognized by Prdm11.
Reporter assays: Test the effect of Prdm11 on the transcriptional activity of putative target promoters.
Rapid transcriptional inhibition experiments: Use transcriptional inhibitors in conjunction with Prdm11 manipulation to separate immediate-early from secondary responses.
Time-course experiments: Analyze the temporal pattern of gene expression changes following Prdm11 modulation.
Optimal experimental systems include:
Genetically modified mouse models: Prdm11 knockout mice have been established and are viable, making them valuable for in vivo studies .
Cell line models: Human and mouse cell lines with Prdm11 manipulation (knockdown, knockout, or overexpression) using the available expression constructs .
Primary cell cultures: Isolated from Prdm11 mutant mice to study cell-type-specific functions.
Ex vivo tissue analysis: Examining tissues from Prdm11 mutant mice for molecular and cellular changes.
Disease-specific models: Such as the Eμ-Myc lymphoma model crossed with Prdm11 knockout mice .
For optimal recombinant Prdm11 expression:
Use expression-ready lentiviral systems such as the pLenti-C-Myc-DDK-P2A-Puro vector, which includes protein tags for detection and purification .
Consider codon optimization for the expression system of choice.
Include purification tags that do not interfere with protein function.
Verify protein expression and localization using the included Myc and DDK (FLAG) tags .
Optimize transfection conditions based on the specific cell type being used.
To address contradictory findings:
Context specificity: Consider cell type, tissue context, and developmental stage differences that might explain divergent results.
Methodological variation: Standardize experimental protocols and validate key reagents.
Genetic background effects: Control for genetic background differences in mouse models.
Protein isoform analysis: Investigate whether different Prdm11 isoforms have distinct functions.
Interaction networks: Map Prdm11 protein interactions in different contexts to identify context-specific binding partners.
Several critical questions remain unexplored:
What is the complete spectrum of genes directly regulated by Prdm11 in different cell types?
Does Prdm11 possess intrinsic enzymatic activity, and if so, what are its substrates?
How does Prdm11 collaborate with or antagonize other transcription factors?
What are the post-translational modifications of Prdm11 and how do they affect its function?
Can Prdm11 be therapeutically targeted in cancer or inflammatory diseases?
Emerging technologies with potential to advance Prdm11 research include:
Single-cell multiomics: To understand cell-type-specific functions and heterogeneity.
CRISPR-based epigenome editing: To manipulate Prdm11 binding and activity at specific genomic loci.
Protein structure determination: Using cryo-EM or X-ray crystallography to understand Prdm11's structural properties.
Proximity labeling proteomics: To identify context-specific Prdm11 interaction partners.
In vivo imaging techniques: To visualize Prdm11 activity in live tissues or organisms.
Potential clinical applications of Prdm11 research include:
Common pitfalls and solutions include:
Non-specific antibody binding: Validate antibodies using Prdm11 knockout controls.
Incomplete knockout effects: Verify knockout efficiency at protein level, not just genomic DNA.
Overexpression artifacts: Use inducible or physiological expression systems.
Background strain effects: Use appropriate littermate controls and consider backcrossing.
Neglecting cell-type specificity: Employ cell-type-specific conditional knockout approaches.
Effective integration strategies include:
Sequential analysis: Start with transcriptomics to identify regulated genes, follow with ChIP-seq to determine direct targets, and proteomics to identify interaction partners.
Pathway enrichment: Analyze regulated genes for pathway enrichment across datasets.
Network analysis: Construct gene regulatory networks centered on Prdm11.
Time-course studies: Examine temporal dynamics of molecular changes following Prdm11 manipulation.
Computational modeling: Develop predictive models of Prdm11 function based on integrated datasets.
Essential controls include:
Genetic controls: Use of multiple independent Prdm11 knockout or knockdown lines.
Rescue experiments: Reintroduction of wild-type Prdm11 to confirm specificity of observed phenotypes.
Domain mutants: Testing the contribution of specific Prdm11 domains using targeted mutations.
Tissue-specific controls: Analysis of Prdm11 effects in multiple tissue contexts.
Temporal controls: Examination of acute versus chronic Prdm11 loss effects.
While the search results don't provide comprehensive information on evolutionary conservation, as a member of the PRDM family, Prdm11 likely shows some degree of functional conservation across species. Studies in human DLBCL cells and mouse models suggest similar tumor suppressor functions . Understanding conservation patterns could provide insights into fundamental versus species-specific functions of Prdm11.
Comparative analysis of PRDM family members can reveal:
Shared mechanisms: Common regulatory principles among PRDM proteins.
Unique functions: Specific roles of Prdm11 compared to other family members.
Evolutionary insights: How PRDM proteins have diversified to serve distinct functions.
Disease associations: Patterns of disease involvement across the PRDM family.
Structural determinants: How structural differences contribute to functional specificity.