Recombinant Mycoplasma pneumoniae Uncharacterized lipoprotein MG439 homolog 4 (MPN_642)

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Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery time varies based on purchasing method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. Request dry ice shipping in advance for an extra fee.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C is recommended. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer ingredients, storage temperature, and protein stability. Liquid form typically lasts 6 months at -20°C/-80°C. Lyophilized form typically lasts 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize developing it.
Synonyms
MPN_642; E09_orf279; MP200; Uncharacterized lipoprotein MG439 homolog 4
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
20-279
Protein Length
Full Length of Mature Protein
Purity
>85% (SDS-PAGE)
Species
Mycoplasma pneumoniae (strain ATCC 29342 / M129)
Target Names
MPN_642
Target Protein Sequence
C SSTTSQVISS LSSAQKYFEA NKGELNKNNV INILKDGYNS DPNKTVNALL AGWKYTLMDQ KLLENNLDPS RFKNTFGPNK NKDDVTPNIS EKGLFLNETF TGLGSQIAEV FNVQKQIVSG FSYSWTSPKS FKVNIHIKME GMINEKSKET IKSFLSNKDS NGSNSVEESE YTGDKAKFTA DFIFSYTPPT GGTRSLTDKS FDVITNMINF PADVKIDVNT SHNKLNELLE KNDQVKRMKS RTFNGRNIDL LPFFYYALL
Uniprot No.

Target Background

Database Links

KEGG: mpn:MPN642

Protein Families
MG439/MG440 family
Subcellular Location
Cell membrane; Lipid-anchor.

Q&A

What is MPN_642 and how is it classified within the M. pneumoniae genome?

MPN_642 is an uncharacterized lipoprotein in Mycoplasma pneumoniae that shows homology to MG439, suggesting evolutionary conservation across Mycoplasma species. Based on structural predictions, it likely belongs to the bacterial lipoprotein family, containing characteristic features such as a signal peptide and a conserved lipobox sequence (typically [LVI][ASTVI][GAS]C) which serves as the site for lipid modification . As an uncharacterized protein, its precise functional classification remains to be fully elucidated, though genomic context analysis suggests potential involvement in membrane-associated processes typical of bacterial lipoproteins.

What experimental models are suitable for studying M. pneumoniae lipoproteins?

Syrian hamsters represent a well-established experimental model for studying M. pneumoniae infections and associated lipoproteins. These animals are readily infected with the microorganism, which multiplies throughout the respiratory tract with a remarkably low 50% infective dose of only 10 colony-forming units . This model consistently produces peribronchial pneumonitis, allowing researchers to study lipoprotein expression and function in vivo. For molecular characterization studies, transformed M. pneumoniae cultures maintain plasmids extrachromosomally through multiple passages, enabling sustained expression of recombinant proteins for functional analysis .

What bioinformatic approaches can identify conserved domains in MPN_642?

For identifying conserved domains in MPN_642, researchers should implement a multi-faceted bioinformatic approach. Begin with sequence alignment tools such as BLAST to identify homologs across bacterial species, particularly focusing on other Mycoplasma species where similar uncharacterized lipoproteins have been identified . Prediction algorithms specifically designed for lipoprotein identification should be employed to analyze the signal peptide and lipobox regions. The presence of the characteristic lipobox sequence (similar to the FVGC motif identified in other bacterial lipoproteins) should be carefully assessed . Additionally, structure prediction tools can help identify potential membrane-association domains that might suggest functional roles.

How does post-translational processing affect MPN_642 function and localization?

Post-translational processing of MPN_642 likely follows the canonical bacterial lipoprotein biosynthesis pathway, which involves three sequential enzymatic steps. Initially, after translation, the preprolipoprotein containing a signal peptide would be secreted through the inner membrane via Sec or Tat pathways . Subsequently, three key enzymes modify the protein: Lgt transfers diacylglyceryl from phosphatidylglycerol to the conserved cysteine in the lipobox; LspA cleaves the signal peptide; and Lnt adds a third acyl chain to the amino group of the N-terminal cysteine . In M. pneumoniae, the localization of lipoproteins may be determined by the amino acid immediately following the lipobox cysteine, similar to the Lol pathway in other bacteria, with serine residues potentially directing outer membrane targeting . Mutations in the signal peptide, as observed with LirL in other bacteria, could significantly alter processing efficiency and thereby affect localization and function .

How might MPN_642 contribute to M. pneumoniae pathogenesis and host immune responses?

As a lipoprotein, MPN_642 may play significant roles in M. pneumoniae pathogenesis through several potential mechanisms. Based on studies of other bacterial lipoproteins, it could contribute to adhesion, antibiotic resistance, virulence, invasion, and immune evasion . In experimental infections, M. pneumoniae has been visualized in a superficial location in the mucosa of involved bronchi using fluorescent antibody staining techniques , suggesting lipoproteins like MPN_642 might facilitate host-pathogen interactions at this interface. The lipid modifications on MPN_642 potentially serve as pathogen-associated molecular patterns (PAMPs) recognized by pattern recognition receptors of the innate immune system, triggering inflammatory responses that contribute to the peribronchial pneumonitis observed in infection models . Further research using Syrian hamster models could elucidate the specific contributions of MPN_642 to pathogenesis, as this model has demonstrated sensitivity and reproducibility for studying M. pneumoniae infections .

What transformation techniques are most effective for generating recombinant M. pneumoniae expressing modified MPN_642?

For generating recombinant M. pneumoniae expressing modified MPN_642, researchers should consider two main approaches: mini-transposon vectors and self-replicating plasmids. Mini-transposon vectors like mini-Tn4001 can integrate into the host genome and carry resistance markers such as gentamycin, enabling selection of transformed strains . Alternatively, self-replicating plasmids carrying Mycoplasma-specific origins of replication (particularly those designated as Ori 1 through Ori 5) have demonstrated successful extrachromosomal maintenance through multiple passages . For optimal expression of MPN_642, construct design should incorporate strong Mycoplasma promoters and consider potential fusion strategies to enhance translation efficiency. When evaluating transformation success, researchers should perform growth curve analysis, microscopy with appropriate fluorescent markers, and Western blot verification using tag-specific antibodies (His-tag, Myc-tag) to confirm expression of the recombinant protein .

What analytical techniques best characterize MPN_642 membrane localization and topology?

Characterizing MPN_642 membrane localization and topology requires a multi-technique approach. Indirect fluorescent antibody staining, similar to methods used to visualize M. pneumoniae in bronchial mucosa, can provide initial insights into cellular localization . For more detailed topological analysis, researchers should employ a modified Brown and Brenn technique, which has successfully visualized Mycoplasma organisms in tissue sections . Western blot analysis of membrane fractions can confirm the presence of MPN_642 in specific cellular compartments, with particular attention to distinguishing between inner and outer membrane localization . The amino acid immediately following the conserved cysteine in the lipobox (e.g., serine) may predict outer membrane targeting, similar to mechanisms observed in other bacterial systems . Additionally, protease accessibility assays can determine which protein domains are exposed on different sides of the membrane, providing crucial information about protein orientation and potential functional interactions.

How can researchers assess the functional impact of signal peptide mutations in MPN_642?

To assess the functional impact of signal peptide mutations in MPN_642, researchers should implement a systematic approach similar to studies on other bacterial lipoproteins. First, generate a series of mutations in the signal peptide region, including insertions, deletions, and amino acid substitutions upstream of the lipobox . Transform M. pneumoniae with these constructs using either mini-transposon vectors or self-replicating plasmids . Monitor the efficiency of lipoprotein processing by Western blot analysis, looking specifically for accumulation of unprocessed prolipoprotein forms that would indicate impaired signal peptide cleavage by LspA . Assess membrane localization changes through fractionation and immunoblotting techniques. Additionally, evaluate phenotypic consequences of these mutations, including growth characteristics, colony morphology, and potentially virulence in the Syrian hamster model . This comprehensive analysis will reveal how signal peptide mutations affect MPN_642 processing, localization, and function, potentially providing insights into protein-specific mechanisms of lipoprotein biosynthesis in M. pneumoniae.

How does MPN_642 compare structurally and functionally to characterized lipoproteins in other bacterial species?

When comparing MPN_642 to characterized lipoproteins in other bacterial species, researchers should focus on both sequence and structural similarities. Unlike some bacterial lipoproteins that have homologs across diverse species, MPN_642 appears to have a more restricted distribution pattern similar to LirL, which lacks homologs in Enterobacteriaceae but is conserved across Acinetobacter baumannii isolates and select other bacterial groups . Structurally, MPN_642 likely shares the characteristic features of bacterial lipoproteins, including a signal peptide and lipobox sequence that serves as the site for lipid modification. For functional comparison, researchers should examine the post-translational modification pathway, which in M. pneumoniae would involve Lgt, LspA, and potentially Lnt, though the necessity of Lnt may vary as it is dispensable for growth in some bacteria like A. baumannii . Unlike E. coli, M. pneumoniae lacks an Lpp homolog, which impacts how lipoprotein biosynthesis inhibitors affect the organism, suggesting potentially unique functional aspects of M. pneumoniae lipoproteins including MPN_642 .

What gene editing approaches could best advance understanding of MPN_642 function?

To advance understanding of MPN_642 function, researchers should employ a multi-faceted gene editing strategy. CRISPR-Cas-based systems, adapted for use in Mycoplasma, could enable precise gene knockouts or targeted mutations. Alternatively, mini-transposon vectors carrying gentamycin resistance markers could facilitate insertional mutagenesis of MPN_642 . For complementation studies, self-replicating plasmids that maintain extrachromosomal persistence through multiple passages provide a reliable expression platform . When designing expression constructs, researchers should carefully consider optimizing translation efficiency by evaluating the accessibility of the start codon (avoiding secondary structures in the 5' region) and potentially using fusion strategies with highly expressed Mycoplasma proteins like GroEL . The Syrian hamster model offers an appropriate system for evaluating the phenotypic consequences of MPN_642 modifications in vivo, as it has demonstrated sensitivity to M. pneumoniae infection with consistent development of peribronchial pneumonitis .

How can high-throughput proteomics advance the characterization of MPN_642 interaction networks?

High-throughput proteomics approaches can significantly advance characterization of MPN_642 interaction networks through several complementary strategies. Affinity purification coupled with mass spectrometry (AP-MS) using tagged versions of MPN_642 can identify direct protein-protein interactions within the Mycoplasma cellular environment. Crosslinking mass spectrometry (XL-MS) can provide additional structural information about these interactions. For membrane-associated interaction studies, proximity-based labeling techniques such as BioID or APEX2 may be particularly valuable, as they can identify proximal proteins in the native cellular context. Integration of these proteomic data with transcriptomic analyses of M. pneumoniae under various growth conditions or following experimental infection in the Syrian hamster model can reveal condition-specific interaction networks. Comparative analysis with other bacterial lipoproteins, particularly those with established roles in pathogenesis, antibiotic resistance, or membrane homeostasis , would place MPN_642 interactions in broader biological context. These approaches collectively would construct a comprehensive interaction map to guide functional hypotheses and targeted validation experiments.

What integrated research approach would most efficiently characterize MPN_642's role in M. pneumoniae biology?

The most efficient integrated approach to characterize MPN_642's role would combine molecular, cellular, and in vivo techniques in a strategic research pipeline. Initially, bioinformatic analysis should establish evolutionary relationships and predict structural features of MPN_642. Gene expression systems utilizing self-replicating plasmids in M. pneumoniae should then be employed to create tagged versions and strategic mutations, particularly in the signal peptide region which has proven critical for lipoprotein function in other bacteria . Cellular localization studies using fluorescent antibody techniques combined with proteomic interaction mapping would establish MPN_642's position within cellular networks. Functional characterization should include assessment of lipoprotein processing through the Lgt-LspA-Lnt pathway and phenotypic analysis of mutants. Finally, in vivo studies using the Syrian hamster model would evaluate contributions to pathogenesis, with particular attention to bacterial colonization, inflammatory responses, and disease progression. This integrated approach bridges molecular mechanisms to organismal phenotypes, efficiently elucidating MPN_642's biological significance.

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