TMA10 Antibody

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Description

Lack of Direct Evidence for TMA10 Antibody

  • None of the indexed sources ( ) mention "TMA10 Antibody" in the context of structure, function, therapeutic use, or clinical trials.

  • The nomenclature "TMA10" does not align with standard antibody naming conventions (e.g., "mAb 1A9" in , "M8C10" in , or "nirsevimab" in ).

Potential Confusion with Named Antibodies

Several antibodies with similar naming patterns or functional roles were identified in the search results. These include:

Antibody NameTarget/ApplicationSourceKey Findings
M8C10Human metapneumovirus (hMPV) Neutralizes hMPV by targeting the prefusion trimerization interface of the F protein. Demonstrated 1,901 Ų binding surface and strong lung protection in cotton rats.
1A9SARS-CoV-2 spike protein Cross-reactive antibody against SARS-CoV-2 S2 subunit. Detects viral S protein in infected cells.
NirsevimabRespiratory syncytial virus (RSV) Reduces RSV hospitalization by 54 per 1,000 participants. Phase 3 trials completed.

Technical Considerations for Antibody Nomenclature

  • Antibodies are typically named based on target antigen, species origin, or developer-specific codes (e.g., "rTIA1/1353" in ).

  • Hypothetical explanations for "TMA10":

    • Typos: Potential misspellings of antibodies like "TIA1" ( ) or "TMA" (thyroid microsomal antibody).

    • Internal Codes: Proprietary identifiers from undisclosed preclinical studies.

Recommendations for Further Research

If "TMA10" is a novel or proprietary antibody, the following steps are advised:

  1. Verify nomenclature with public databases (e.g., WHO’s INN, ClinicalTrials.gov).

  2. Explore patent filings for unpublished preclinical data.

  3. Contact developers for technical documentation (e.g., Bio-Techne, Precision Antibody).

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
TMA10 antibody; YLR327C antibody; L8543.1 antibody; Translation machinery-associated protein 10 antibody
Target Names
TMA10
Uniprot No.

Target Background

Database Links

KEGG: sce:YLR327C

STRING: 4932.YLR327C

Protein Families
STF2 family
Subcellular Location
Mitochondrion.

Q&A

What is the mechanism of immunogenicity in therapeutic monoclonal antibodies?

Therapeutic monoclonal antibodies (TmAbs) can trigger immune responses that reduce their efficacy or induce adverse effects. The immunogenicity of antibodies has historically been underreported due to inadequate detection methods. Early assays were hampered by false-positive reactions caused by rheumatoid factors, natural antibodies to Fab or F(ab')2 fragments, and Fc interactions of IgG4. Recent advances in detection technology have revealed that antibody formation against TmAbs (HACA or HAHA) is more common than previously thought .

Mechanistically, immunogenicity stems from multiple factors including the presence of non-human sequences, aggregation, glycosylation patterns, and administration route. Even fully humanized antibodies can trigger immune responses due to idiotypic determinants or novel epitopes formed at the junction of variable regions.

How are antibody screening and isolation methods evolving in research settings?

Antibody screening methodologies have advanced significantly beyond traditional hybridoma technology. Contemporary approaches employ:

  • Direct B cell immortalization using Epstein-Barr virus or retroviral gene transfer

  • Single-cell PCR for cloning variable region-encoding genes

  • Single-cell culture screening procedures

  • In-vitro screening of recombinant antibody libraries

  • Yeast surface display (YSD) for discovery and engineering of antibodies

Of particular significance is the optimized yeast mating method, which generates large combinatorial antibody fragment libraries by cellular fusion between two haploid cells carrying different libraries. This approach enables increased diversity in screening target-specific fragment antigen-binding (Fab) antibodies and facilitates the development of heterodimeric Fc variants for bi-specific antibody generation .

What considerations are important when selecting human germlines for antibody humanization?

Antibody humanization requires careful selection of human germline sequences to maximize efficacy while minimizing immunogenicity. Analysis of the humanization process from a structural perspective reveals several critical considerations:

  • Specific "hot spots" in the framework region significantly impact antigen binding and should be carefully evaluated during human germline selection

  • Contrary to traditional beliefs, some positions in the Vernier zone (e.g., residue 71 in the heavy chain) can tolerate amino acid substitutions without affecting binding

  • The length of complementarity-determining region (CDR) H2 affects thermostability, with variants containing shorter CDR H2 demonstrating consistently higher thermostability

  • Some human germlines, such as ImMunoGeneTics information system® germline IGHV1-2*01, may contain potentially destabilizing mutations compared to other alleles and germlines

When selecting human frameworks, researchers should perform comprehensive structural analyses to identify critical residues that maintain the spatial orientation of CDRs rather than simply relying on sequence homology.

How can researchers optimize potency assays for bispecific antibodies?

Developing reliable potency assays for bispecific antibodies (BsAbs) requires careful consideration of cell line selection and assay methodology. Research by FDA scientists demonstrates that detection capabilities vary significantly depending on the cell types and assay formats employed .

For instance, when evaluating a bispecific antibody targeting both EGFR and VEGFR2 proteins:

Cell LineCell Viability AssayTrypan Blue Cell Proliferation Assay
MDA-MB-231Detected antitumor effectsDetected antitumor effects
BT-20Detected antitumor effectsFailed to detect antitumor effects

This differential sensitivity highlights the importance of employing multiple cell lines and assay formats during BsAb development. When establishing potency control methods for BsAbs, researchers should identify optimal cell line and assay combinations through systematic evaluation . Additionally, consideration should be given to assessing multiple functional aspects of the BsAb, including binding affinities to both targets and the resulting biological effects that emerge from dual targeting.

What are the latest approaches for engineering antibodies against evolving viral epitopes?

The COVID-19 pandemic highlighted the challenges of viral mutation and escape from neutralizing antibodies. Researchers have developed innovative approaches to address this challenge through bispecific antibody engineering.

Rather than targeting a single epitope (which may mutate), scientists now focus on developing BsAbs that simultaneously target two epitopes on viral proteins, such as the SARS-CoV-2 spike protein . This dual-epitope targeting strategy:

  • Increases the probability of maintaining binding and neutralization activities against diverse virus strains

  • Provides broader neutralization against emerging variants

  • Creates a higher barrier to viral escape through mutation

Researchers have developed specialized potency assays to evaluate these products, finding that antibodies with strong binding properties generally demonstrate superior neutralization capacity. Comprehensive evaluation requires both binding assays and functional neutralization assays to fully characterize the antibody's potential efficacy against existing and emerging viral variants .

How can yeast surface display be adapted for full-length IgG antibody engineering?

Traditional yeast surface display relies on genetic fusion of recombinant antibodies to abundant cell wall proteins, which presents challenges for displaying full-length immunoglobulins. Recent innovations have developed a non-covalent binding approach that improves the efficiency of yeast display for full-length IgG antibodies .

This "secretion-and-capture" strategy employs:

  • Cell surface display of an epitope tag (such as Staphylococcal protein A)

  • Non-covalent capture of secreted antibodies via their Fc regions

  • Switchable display that allows dynamic manipulation of the displayed antibodies

The methodology involves:

  • Engineering yeast to display Staphylococcal protein A on the cell surface using vectors like pICAS1 and pCAS1

  • Creating fusion constructs where antibodies or target proteins are fused to Fc regions

  • Co-culture systems where the secreted Fc-fusion proteins are captured by the surface-displayed protein A

This approach offers significant advantages for antibody engineering, including improved display efficiency for full-length IgGs, flexibility in antibody formatting, and the ability to rapidly switch displayed antibodies without additional genetic manipulation .

What methods can detect and quantify antibody responses to therapeutic antibodies with adequate sensitivity?

Detecting anti-drug antibodies presents significant analytical challenges due to interference from target antigens, rheumatoid factors, and complement components. Recent methodological advances have substantially improved sensitivity and specificity:

  • Acid dissociation steps to separate antibody-drug complexes

  • Solid-phase extraction to remove interfering substances

  • Bridging assay formats with labeled drug molecules

  • Surface plasmon resonance techniques for real-time detection

These improved methods have revealed that antibody responses to therapeutic monoclonal antibodies are more common than previously recognized . The large population of treated patients, combined with these new assays, presents a unique opportunity to study the anti-antibody immune response in humans, potentially enabling immunogenicity manipulation in the future .

How does guided selection enhance antibody screening efficiency?

Guided selection represents an advanced approach to antibody screening that significantly improves efficiency. This method systematically narrows the search space by first isolating optimal heavy chains, then pairing them with light chain libraries.

As demonstrated in research isolating antibodies against the oncogenic KRas G12D-GTP mutant, this two-step process involves:

  • Sequential isolation of heavy chains first, selecting those with favorable binding properties

  • Combining selected heavy chains with either:

    • A fixed functional light chain (e.g., with cytosol penetrating ability)

    • A diverse light chain library through yeast mating

This strategy enables more efficient exploration of sequence space with fixed diversity, increasing the probability of isolating human antibodies with high specificity and affinity . The approach is particularly valuable when targeting challenging antigens that require specialized antibody properties beyond simple binding.

What experimental techniques are used to analyze the structural basis of antibody-antigen interactions?

Understanding the structural basis of antibody-antigen interactions requires sophisticated experimental approaches:

  • X-ray crystallography to determine 3D structures of antibody-antigen complexes

  • Cryo-electron microscopy for visualizing larger complexes

  • Hydrogen-deuterium exchange mass spectrometry to map binding interfaces

  • Surface plasmon resonance and bio-layer interferometry for kinetic analyses

  • Molecular dynamics simulations to model conformational changes

Structural analysis reveals critical insights, as demonstrated in humanization studies where comparison of humanized antibody variants with parental mouse antibodies identified key framework residues affecting antigen binding . These approaches enable researchers to understand the molecular basis of antibody specificity and affinity, thereby informing rational design of improved therapeutic antibodies.

How can researchers address immunogenicity challenges in therapeutic antibody development?

Mitigating immunogenicity remains a significant challenge in therapeutic antibody development. Based on current understanding, researchers can employ several strategies:

  • De-immunization through removal of T-cell epitopes identified by in silico prediction and in vitro validation

  • Incorporation of Tregitopes (T regulatory cell epitopes) to induce tolerance

  • Optimization of glycosylation patterns to reduce immunogenic potential

  • Careful selection of human germline frameworks with consideration of structural hot spots beyond traditional Vernier zones

  • Implementation of improved detection methods to better characterize immunogenic responses in pre-clinical studies

These approaches must be applied systematically throughout the development process, from initial antibody discovery through clinical evaluation. Monitoring anti-drug antibody responses using recently developed sensitive methods provides crucial feedback to refine antibody design and dosing strategies .

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