CRRSP30 Antibody

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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
CRRSP30 antibody; At3g22000 antibody; MZN24.18Cysteine-rich repeat secretory protein 30 antibody
Target Names
CRRSP30
Uniprot No.

Target Background

Database Links

KEGG: ath:AT3G22000

STRING: 3702.AT3G22000.1

UniGene: At.53430

Protein Families
Cysteine-rich repeat secretory protein family
Subcellular Location
Secreted.

Q&A

What is RMP1-30 and how does it function in immunological research?

RMP1-30 is a rat IgG2b monoclonal antibody that targets the programmed cell death protein 1 (PD-1) receptor. In immunological research, it serves as both a detection tool for PD-1 expression and as a functional antibody that can block PD-1 signaling. The antibody recognizes a specific epitope on PD-1 that allows researchers to investigate PD-1-mediated immunoregulatory pathways in various experimental systems .

RMP1-30 is particularly valuable for its ability to bind to PD-1 with intermediate intensity compared to other anti-PD-1 clones, making it suitable for detecting PD-1 expression across different cell types including activated T cells and tumor cells. Flow cytometry experiments have demonstrated that RMP1-30 provides reliable detection of PD-1-expressing cells like EL4 cells, which constitutively express high levels of PD-1 .

It's important to note that RMP1-30, being a rat IgG2b isotype, shares similarities with other depleting antibodies used in immunological research, such as YTS169.4 (anti-CD8α) and GK1.5 (anti-CD4), which are used to deplete CD8 and CD4 T cells in vivo, respectively . This characteristic has significant implications for experimental design and data interpretation.

How does RMP1-30 compare structurally and functionally to other PD-1 targeting antibodies?

RMP1-30 exhibits distinct binding characteristics when compared to other commonly used anti-PD-1 antibodies such as 29F.1A12, J43, G4, and RMP1-14. Cross-blocking experiments have revealed important differences in epitope recognition between these antibodies, which has practical implications for research applications .

The following table summarizes the key comparative properties of major anti-PD-1 antibodies based on experimental data:

Antibody CloneSpecies/IsotypeStaining IntensityBlocks PD-1/PD-L1 InteractionCross-blocks with other clonesNotable Characteristics
29F.1A12Rat IgG2aBrightestYesBlocks nearly all other clonesStrongest signal in flow cytometry
J43Hamster IgGIntermediateYesCompetes with most other clonesCommonly used for detection
G4Hamster IgGIntermediateYesCompetes with most other clonesGood for detection applications
RMP1-14Rat IgG2aWeakestYesDoes not interfere with other clonesCan be used alongside other detection antibodies
RMP1-30Rat IgG2bIntermediateYesPartial interferenceSimilar isotype to depleting antibodies

Cross-blocking studies have demonstrated that while 29F.1A12 completely prevents PD-1 detection with nearly all other clones, RMP1-14 does not interfere with detection by any other clone despite its ability to block PD-1/PD-L1 interactions . This makes RMP1-14 particularly useful for therapeutic applications in vivo while still allowing for detection with other antibody clones.

RMP1-30 occupies an intermediate position in this spectrum, making it versatile for various experimental applications where moderate binding interference is acceptable or even desirable.

What are appropriate concentration ranges for using RMP1-30 in different experimental settings?

Determining the optimal concentration of RMP1-30 is critical for experimental success across different applications. Based on established protocols, the following concentration ranges have proven effective:

For flow cytometry applications, RMP1-30 performs optimally at 1 μg/ml for staining when cells are incubated for 20-30 minutes at 4°C in PBS containing 2% FBS and 0.1% sodium azide . For blocking experiments, a higher concentration of 10 μg/ml is typically used for 30 minutes at 4°C before adding the staining antibody .

In in vivo experiments, a standard dosing regimen involves administering 200 μg of RMP1-30 via intraperitoneal (i.p.) injection, similar to the dosing used for other therapeutic antibodies such as anti-PD-1 (G4, RMP1-14) or anti-PD-L1 (10F.9G2) . This dosing approach has been validated in multiple experimental models including tumor studies and viral infection models.

When designing dose-response experiments, it is advisable to include a range of concentrations (e.g., 50 μg, 100 μg, 200 μg, and 400 μg) to determine the optimal dose for your specific experimental system. The effectiveness of the antibody at different concentrations should be assessed using appropriate readouts such as target cell depletion, functional blockade, or therapeutic efficacy.

How should cross-blocking experiments be designed with RMP1-30 to evaluate epitope specificity?

Cross-blocking experiments are essential for determining whether different antibodies recognize overlapping or distinct epitopes on PD-1. A methodologically sound cross-blocking experiment with RMP1-30 should follow these steps:

  • Cell preparation: Use cells with high expression of PD-1, such as EL4 cells, which constitutively express high levels of PD-1 and are therefore excellent for cross-blocking studies .

  • Blocking step: Plate the cells (approximately 10^5 cells per well) in 96-well plates. Add unconjugated RMP1-30 at a saturating concentration (10 μg/ml is recommended) and incubate for 30 minutes at 4°C in PBS containing 2% FBS and 0.1% sodium azide .

  • Staining step: Without removing the blocking antibody, add fluorescently labeled antibodies of interest (e.g., PE-labeled 29F.1A12, J43, G4, RMP1-14, or other PD-1 antibodies) at 1 μg/ml. Incubate for an additional 20 minutes at 4°C .

  • Analysis: Wash cells three times and analyze by flow cytometry. Calculate percent inhibition on a log scale using the formula: 1 - ((blocked - unstained) / (unblocked - unstained)), where all values are converted to log scale first .

  • Controls: Include unstained cells, cells stained with each antibody alone (without blocking), and cells blocked with isotype control antibodies to account for non-specific binding.

This approach allows for a comprehensive assessment of epitope sharing between RMP1-30 and other anti-PD-1 antibodies, providing valuable information for designing experiments where multiple antibodies may be used simultaneously.

What flow cytometry protocols are recommended for optimal detection of PD-1 using RMP1-30?

For optimal detection of PD-1 using RMP1-30 in flow cytometry, the following protocol has been validated in multiple experimental systems:

  • Sample preparation: Harvest cells from the tissue of interest (e.g., spleen, tumor, peripheral blood). For tissues, prepare single-cell suspensions by mechanical disruption through a 70 μm cell strainer.

  • Viability staining: Incubate cells with a fixable viability dye (e.g., e506) for 20 minutes on ice to discriminate live from dead cells .

  • Fc receptor blocking: Add Fc block during the viability staining step to prevent non-specific antibody binding .

  • Surface staining: Stain cells with fluorescently labeled RMP1-30 at 1 μg/ml, along with other surface markers of interest (e.g., TCRβ, CD8, CD44) for 20 minutes on ice .

  • Washing and analysis: Wash cells thoroughly and analyze using a flow cytometer such as an LSR II or Fortessa .

For antigen-specific T cell analysis, incorporate MHC tetramers or dextramers in your staining panel. These reagents should be added before other surface antibodies and incubated for 30 minutes on ice in the presence of Fc block .

When analyzing PD-1 expression on activated T cells, consider including additional activation markers such as CD69, CD25, or Ki-67 to correlate PD-1 expression with activation status.

For consistent results across experiments, standardize your gating strategy by first gating on live cells (viability dye-negative), then on TCRβ+ cells (for T cell analysis), followed by subsetting based on additional markers before analyzing PD-1 expression .

How can RMP1-30 be effectively used in tumor immunotherapy research models?

In tumor immunotherapy research, RMP1-30 can be employed in several methodologically rigorous approaches:

  • Tumor challenge models: For syngeneic tumor models such as MCA-205 sarcoma, inject tumor cells subcutaneously and allow tumors to reach approximately 50-70 mm² before initiating antibody treatment . Administer 200 μg of RMP1-30 intraperitoneally, typically twice weekly for the duration of the experiment .

  • Tumor-infiltrating lymphocyte (TIL) analysis: After tumor harvest, process tumors into single-cell suspensions and analyze PD-1 expression on TILs using flow cytometry. Gate on live, TCRβ+ cells and assess PD-1 expression in conjunction with other relevant markers such as CD8, CD4, and exhaustion markers .

  • Antigen-specific T cell responses: For models with defined tumor antigens (e.g., MCA-205-OVA), use MHC class I tetramers (e.g., H-2Kb:OVAp) to identify antigen-specific T cells . Similarly, for other tumor models like d42m1-T3, relevant tetramers (H2Kb:mLama4 and H2Kb:mAlg8) can be used to evaluate tumor-specific T cell responses .

  • Comparative studies: Design experiments with appropriate controls, including isotype control antibodies (rat IgG) and comparative PD-1 pathway blockers like anti-PD-1 (G4, RMP1-14) or anti-PD-L1 (10F.9G2) .

  • Combination approaches: Investigate RMP1-30 in combination with other immunotherapeutic strategies, such as adoptive T cell transfer, cancer vaccines, or additional checkpoint inhibitors.

When interpreting results, consider the potential depleting activity of RMP1-30 due to its rat IgG2b isotype, which is shared with antibodies known to deplete T cell populations in vivo, such as YTS169.4 (anti-CD8α) and GK1.5 (anti-CD4) .

How does RMP1-30 compare to other antibodies in cross-reactivity experiments with different coronavirus strains?

While RMP1-30 is a PD-1-targeting antibody unrelated to coronavirus research, we can draw important methodological lessons from cross-reactivity studies of other antibodies with different coronavirus strains. These principles can be applied to RMP1-30 experimental design in immune checkpoint research.

For instance, studies with CR3022, a SARS-CoV neutralizing antibody, have demonstrated that antibody cross-reactivity between related viral strains can be significantly influenced by single amino acid mutations. In the case of CR3022, a single mutation (P384A) fully determines the affinity difference between SARS-CoV and SARS-CoV-2 . This highlights the importance of considering epitope conservation when working with antibodies across related biological systems.

When designing experiments to evaluate potential cross-reactivity of RMP1-30 with different species' PD-1 proteins, researchers should:

  • Perform sequence alignments of the target epitope regions across species

  • Conduct binding affinity measurements using techniques like surface plasmon resonance

  • Validate functional activity across species using cell-based assays

This methodological approach ensures that any observed differences in antibody performance across species or systems can be attributed to specific molecular differences rather than technical variables.

What are the implications of antibody-mediated T cell depletion when using RMP1-30 in vivo?

A critical consideration when using RMP1-30 in vivo is its potential to deplete PD-1-expressing cells rather than simply blocking PD-1 signaling. This has profound implications for experimental design and data interpretation in immunotherapy research.

RMP1-30 is a rat IgG2b isotype antibody, sharing the same species and isotype as YTS169.4 (anti-CD8α) and GK1.5 (anti-CD4), which are known to deplete CD8 and CD4 T cells in vivo, respectively . This similarity suggests that RMP1-30 may not only block PD-1 signaling but also deplete PD-1-expressing cells through Fc-mediated mechanisms.

Several studies have demonstrated that the depleting activity of antibodies is largely determined by their isotype, which influences their interaction with Fc receptors on effector cells. For example, when an unspecified anti-PD-1 clone was expressed recombinantly with a mouse IgG2a backbone (which has high activating-to-inhibitory FcγR binding activity), it resulted in depletion of CD8 tumor-infiltrating lymphocytes (TILs) .

To properly account for potential depletion effects in your experiments:

  • Include appropriate controls: Use isotype-matched control antibodies and, when possible, Fc-mutated versions of RMP1-30 that retain binding but lack effector functions.

  • Monitor cellular populations: Quantify changes in the number of PD-1-expressing cells before and after antibody treatment using flow cytometry.

  • Consider alternative approaches: For experiments where depletion would confound interpretation, consider using Fab or F(ab')2 fragments that lack the Fc portion.

  • Investigate mechanisms: Determine whether observed therapeutic effects are due to PD-1 blockade, depletion of PD-1+ cells, or a combination of both mechanisms.

Understanding these implications is essential for correctly interpreting experimental results and translating findings to potential clinical applications.

How can researchers distinguish between blocking versus depleting effects of RMP1-30 in experimental systems?

Distinguishing between the blocking and depleting effects of RMP1-30 requires carefully designed experiments that can separate these distinct mechanisms. Here is a methodical approach to address this research question:

  • Comparative isotype analysis: Compare the effects of RMP1-30 (rat IgG2b) with other anti-PD-1 antibodies of different isotypes, such as RMP1-14 (rat IgG2a) . Different isotypes have varying abilities to engage Fc receptors and mediate effector functions like antibody-dependent cellular cytotoxicity (ADCC).

  • Time-course experiments: Blocking effects typically occur rapidly (within hours), while depletion requires more time (1-2 days). Monitor PD-1+ cell populations at multiple time points after antibody administration to distinguish these temporal patterns.

  • Mechanistic studies with Fc receptor knockout models: Utilize mice lacking specific Fc receptors to determine which receptors are involved in any observed depletion effects. This approach can help establish whether depletion is mediated through FcγRs.

  • Engineered antibody variants: Compare the effects of wild-type RMP1-30 with engineered versions containing mutations in the Fc region that disable interaction with Fc receptors but preserve antigen binding.

  • In vitro vs. in vivo comparisons: Assess RMP1-30 activity in in vitro systems where depletion mechanisms are absent or controlled, and compare with in vivo effects to separate direct blocking from depletion.

  • Flow cytometric analysis of cell populations: Implement comprehensive phenotyping of immune cell populations before and after antibody treatment using markers like TCRβ, CD8, CD4, and PD-1, along with viability dyes .

The table below summarizes experimental approaches to distinguish blocking from depleting effects:

Experimental ApproachMeasures Blocking EffectMeasures Depleting EffectControl/Comparison
In vitro signaling assaysYesNoIsotype control
In vivo cell enumerationNoYesPre-treatment baseline
Fc-mutant antibody comparisonYesNoWild-type antibody
FcγR knockout modelsNoYesWild-type mice
Time-course analysisYes (early)Yes (late)Multiple time points
Competitive binding assaysYesNoNon-competing antibodies

What strategies can resolve inconsistent staining results with RMP1-30 in flow cytometry?

Inconsistent staining with RMP1-30 in flow cytometry can arise from multiple technical factors. Here are methodological approaches to troubleshoot and resolve these issues:

  • Antibody titration: RMP1-30 staining intensity can vary significantly depending on concentration. Conduct a thorough titration experiment using concentrations ranging from 0.1-10 μg/ml to determine the optimal concentration for your specific cell type. The standard recommended concentration of 1 μg/ml may need adjustment based on your experimental system .

  • Buffer composition optimization: The staining buffer composition can significantly impact antibody binding. Ensure your buffer contains:

    • 2% FBS (or BSA) to reduce non-specific binding

    • 0.1% sodium azide to prevent internalization of surface molecules

    • Appropriate pH (7.2-7.4) for optimal antibody-antigen interaction

  • Fc receptor blocking: Inadequate blocking of Fc receptors can lead to high background and inconsistent staining. Increase the concentration or incubation time of your Fc blocking reagent. Importantly, add the Fc block before antibody staining and maintain its presence throughout the staining procedure .

  • Sample handling considerations: PD-1 expression can be sensitive to processing conditions. Minimize the time between sample collection and staining, and maintain consistent temperature conditions (keep cells at 4°C during processing) to preserve PD-1 epitopes.

  • Fluorophore selection: If RMP1-30 is conjugated to different fluorophores, be aware that some conjugates may perform better than others. PE-conjugated RMP1-30 tends to provide optimal signal-to-noise ratio for PD-1 detection .

  • Compensation and instrument setup: Proper compensation is critical, especially when using multiple fluorochromes. Use single-stained controls for each fluorochrome and ensure your instrument settings are optimized and consistent between experiments.

  • Positive and negative controls: Always include both positive controls (cells known to express high levels of PD-1, such as EL4 cells ) and negative controls (cells known not to express PD-1 or isotype control antibodies) to establish proper gating strategies.

By systematically addressing these factors, researchers can significantly improve the consistency and reliability of RMP1-30 staining in flow cytometry applications.

How can researchers optimize RMP1-30 antibody for use in viral infection models?

Optimizing RMP1-30 for viral infection models requires careful consideration of several experimental parameters. Based on established protocols with mouse cytomegalovirus (MCMV) infection models, the following optimization strategy is recommended:

By systematically optimizing these parameters, researchers can develop robust protocols for using RMP1-30 in viral infection models, enabling more reliable and reproducible investigation of PD-1 pathway modulation during antiviral immune responses.

What validation steps are essential before using RMP1-30 in a new experimental system?

Before employing RMP1-30 in a new experimental system, comprehensive validation is essential to ensure reliable and interpretable results. The following systematic validation approach is recommended:

  • Antibody specificity confirmation: Verify that RMP1-30 specifically binds to PD-1 in your experimental system by:

    • Comparing staining patterns between wild-type and PD-1 knockout cells/tissues

    • Performing competitive binding assays with known PD-1 ligands or antibodies

    • Conducting western blot analysis to confirm detection of a protein of the appropriate molecular weight

  • Cross-reactivity assessment: If working with a species other than mouse, determine whether RMP1-30 cross-reacts with PD-1 from that species through:

    • Direct binding assays using cells expressing the target species' PD-1

    • Sequence alignment analysis of the putative epitope regions between species

    • Functional studies to confirm biological activity across species

  • Binding characteristics determination: Establish the binding properties of RMP1-30 in your specific system:

    • Perform titration experiments to determine optimal concentration ranges (typically starting with 1 μg/ml for flow cytometry and 10 μg/ml for blocking experiments)

    • Measure binding affinity using techniques like surface plasmon resonance

    • Assess epitope accessibility through cross-blocking studies with other PD-1 antibodies

  • Functional validation: Confirm that RMP1-30 produces the expected biological effects:

    • In vitro blocking assays to assess inhibition of PD-1/PD-L1 interaction

    • T cell activation assays to evaluate functional consequences of PD-1 blockade

    • For in vivo use, pilot studies examining both target engagement and biological outcomes

  • Batch consistency verification: Establish lot-to-lot consistency by:

    • Testing multiple batches of antibody side-by-side

    • Maintaining reference samples for comparative analysis

    • Documenting key performance characteristics for future reference

  • Storage and handling validation: Determine optimal storage conditions and assess stability:

    • Evaluate performance after multiple freeze-thaw cycles

    • Confirm activity retention after storage at different temperatures

    • Establish working solution stability time frames

Methodical validation following these steps ensures that RMP1-30 will perform reliably in your specific experimental system, providing a solid foundation for subsequent research applications.

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