CBSX5 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
14-16 week lead time (made-to-order)
Synonyms
CBSX5 antibody; At4g27460 antibody; F27G19.60CBS domain-containing protein CBSX5 antibody
Target Names
CBSX5
Uniprot No.

Q&A

What is TBX5 and why are antibodies against it significant in research?

TBX5 is a member of a phylogenetically conserved family of genes that share a common DNA-binding domain called the T-box. The TBX5 protein functions as a transcription factor involved in heart development and limb pattern formation. TBX5 antibodies are crucial research tools because TBX5 plays a pivotal role in cardiac and upper limb development, with mutations associated with Holt-Oram syndrome, a developmental disorder affecting the heart and upper limbs . Antibodies targeting TBX5 enable researchers to study its expression patterns, localization, and interactions with other proteins in developmental biology, cardiology, and genetic disease research.

What applications are TBX5 antibodies most commonly used for in laboratory research?

TBX5 antibodies are widely employed across multiple experimental platforms:

  • Immunohistochemistry (IHC) and immunofluorescence for visualizing TBX5 expression in tissue sections, particularly in developing heart and limb tissues

  • Western blotting for detecting TBX5 protein expression and quantifying levels in various tissues and cell lines

  • Chromatin immunoprecipitation (ChIP) to identify TBX5 binding sites on DNA, as TBX5 binds to the core DNA motif of NPPA promoter

  • Co-immunoprecipitation (Co-IP) to investigate protein-protein interactions between TBX5 and other cardiac developmental factors

  • Flow cytometry for analyzing TBX5 expression in individual cells, particularly in stem cell differentiation studies

How should researchers validate a TBX5 antibody before experimental use?

Methodological validation of TBX5 antibodies should follow these essential steps:

  • Positive and negative controls: Use samples with known TBX5 expression (cardiac tissue) and without expression (negative control tissues) to verify specificity.

  • Epitope verification: Confirm which region of TBX5 the antibody recognizes (T-box domain, N-terminal, or C-terminal) and check for potential cross-reactivity with related T-box family members, particularly TBX4, an important paralog of TBX5 .

  • Multiple technique validation: Assess antibody performance across different applications (Western blot, IHC, ChIP) as antibodies may perform differently depending on whether the target protein is in native or denatured form.

  • Knockout/knockdown validation: Test in cells/tissues where TBX5 has been knocked out or knocked down to confirm specificity.

  • Literature cross-reference: Compare your validation results with published data using the same or similar antibodies to establish consensus on specificity and performance.

What are the critical considerations when selecting TBX5 antibodies for studying protein-DNA interactions?

When investigating TBX5's transcriptional regulatory functions through protein-DNA interaction studies like ChIP, researchers should consider:

  • Epitope accessibility: Select antibodies targeting epitopes that remain accessible when TBX5 is bound to DNA. Antibodies targeting the N-terminal or C-terminal regions are often more suitable for ChIP applications than those targeting the central T-box DNA-binding domain, which may be occluded when bound to DNA.

  • Crosslinking compatibility: Ensure the antibody can recognize its epitope after formaldehyde crosslinking, which can mask or alter epitopes.

  • Affinity considerations: Higher-affinity antibodies typically perform better in ChIP applications. Similar to strategies used in antibody development for other targets, computational approaches can optimize selection of TBX5 antibodies based on binding affinity characteristics .

  • Validation with known binding sites: Validate ChIP performance using established TBX5 binding sites, such as the NPPA promoter mentioned in the literature .

  • Sequential ChIP compatibility: If planning sequential ChIP to study TBX5 co-binding with other factors, ensure the antibody is compatible with such protocols.

How can researchers overcome challenges in detecting different TBX5 isoforms?

TBX5 exists in multiple isoforms, which presents challenges for comprehensive detection and analysis. To effectively detect multiple TBX5 isoforms:

  • Isoform-specific antibodies: When possible, use antibodies raised against specific isoforms or regions unique to particular isoforms.

  • Complementary approaches: Combine antibody-based detection with RT-PCR or RNA-seq to correlate protein detection with transcript expression patterns.

  • Epitope mapping: Carefully map antibody epitopes against known TBX5 isoforms to determine which isoforms will be detected. Several transcript variants encoding different isoforms have been described for the TBX5 gene .

  • Gradient gel electrophoresis: Use gradient gels with Western blotting to better resolve isoforms with small molecular weight differences.

  • Mass spectrometry validation: Utilize LC-MS/MS approaches to confirm the identity of detected isoforms. Modern antibody sequencing methods can help confirm specific isoform detection, similar to techniques used for identifying other antibodies .

What methodological approaches address TBX5 antibody specificity issues in developmental biology studies?

Developmental studies using TBX5 antibodies face challenges due to changing expression patterns and potential cross-reactivity with related proteins. To overcome these challenges:

  • Developmental stage-specific validation: Validate antibody specificity at each developmental stage under investigation, as protein complexes and modifications may differ.

  • Cross-reactivity assessment: Test for cross-reactivity with other T-box proteins expressed during development, particularly TBX4, which is a significant paralog of TBX5 .

  • Multiple antibody approach: Use multiple antibodies targeting different epitopes of TBX5 to corroborate findings.

  • Tissue-specific controls: Include regional negative controls from the same developmental stage where TBX5 is not expressed.

  • Combined in situ hybridization: Correlate antibody staining patterns with mRNA expression via in situ hybridization to validate specificity.

How should researchers optimize TBX5 antibody-based chromatin immunoprecipitation protocols?

Optimizing ChIP protocols for TBX5 requires careful consideration of several factors:

  • Crosslinking optimization: Adjust formaldehyde concentration (typically 1-1.5%) and time (8-15 minutes) based on tissue type and developmental stage.

  • Sonication parameters: Optimize sonication conditions to generate chromatin fragments of 200-600bp, suitable for high-resolution TBX5 binding site analysis.

  • Antibody titration: Perform antibody titration experiments to determine the optimal antibody concentration that maximizes signal-to-noise ratio.

  • Pre-clearing strategy: Implement effective pre-clearing steps to minimize non-specific binding, particularly important when working with tissues expressing low levels of TBX5.

  • Washing stringency: Adjust washing buffer stringency based on antibody affinity to balance between reducing background and maintaining specific signals.

Similar to methodology employed in structural antibody design studies, computational prediction tools can assist in optimizing conditions based on antibody-epitope interactions .

What are the best practices for using TBX5 antibodies in co-immunoprecipitation studies of cardiac transcriptional complexes?

TBX5 functions within multi-protein transcriptional complexes in cardiac development. For effective co-IP studies:

  • Cell lysis conditions: Optimize lysis buffers to preserve physiologically relevant protein-protein interactions while effectively extracting nuclear proteins. Typically, mild non-ionic detergents (0.1-0.5% NP-40 or Triton X-100) are preferred.

  • Salt concentration adjustment: Test various salt concentrations (typically 100-150mM NaCl) to maintain specific interactions while reducing non-specific binding.

  • DNase/RNase treatment: Consider nuclease treatment to determine if interactions are DNA/RNA-dependent or direct protein-protein interactions.

  • Reciprocal co-IP: Confirm interactions by performing reciprocal co-IP with antibodies against the putative interacting partners.

  • Mass spectrometry validation: Use mass spectrometry to identify novel interaction partners from co-IP samples, similar to antibody sequencing methods that employ LC-MS/MS for protein identification .

What validation strategies ensure TBX5 antibody specificity in immunohistochemistry applications?

To ensure specificity in IHC applications:

Validation ApproachMethodologyExpected Outcome
Peptide competitionPre-incubate antibody with excess immunizing peptide before IHCSignificant reduction in signal intensity
Knockout/knockdown tissuesCompare staining between wild-type and TBX5-deficient tissuesAbsence of specific staining in knockout/knockdown samples
Multiple antibody comparisonUse antibodies targeting different TBX5 epitopesConsistent staining pattern across antibodies
Isotype controlUse matched isotype control antibodyNo specific staining
Signal correlationCompare IHC signal with in situ hybridizationSpatial correlation between protein and mRNA signals

How can researchers troubleshoot inconsistent results when using TBX5 antibodies across different experimental platforms?

When encountering inconsistent results:

  • Protein conformation assessment: Determine if your application requires detection of native (e.g., IP, IHC) or denatured (e.g., Western blot) protein, and select antibodies accordingly.

  • Fixation optimization: Test multiple fixation methods (paraformaldehyde, methanol, acetone) as fixation can significantly affect epitope accessibility, especially for nuclear transcription factors like TBX5.

  • Antigen retrieval methods: Compare different antigen retrieval approaches (heat-induced, enzyme-based) to optimize epitope exposure in fixed tissues.

  • Buffer composition adjustment: Modify blocking and washing buffers to reduce background while maintaining specific signal.

  • Secondary detection system evaluation: Test alternative secondary antibodies or detection systems to improve signal-to-noise ratio.

Using computational approaches similar to those used in antibody structure prediction can help optimize experimental conditions based on epitope characteristics .

How can TBX5 antibodies be effectively utilized in single-cell protein analysis techniques?

Single-cell protein analysis requires special considerations:

  • Sensitivity enhancement: Implement signal amplification methods (tyramide signal amplification, quantum dots) to detect low-abundance TBX5 in individual cells.

  • Multiplexing strategies: Develop protocols for simultaneous detection of TBX5 and other cardiac transcription factors using spectrally distinct fluorophores or iterative labeling approaches.

  • Flow cytometry optimization: Adjust permeabilization conditions to ensure antibody access to nuclear TBX5 while maintaining cell integrity.

  • Mass cytometry applications: Consider metal-conjugated TBX5 antibodies for CyTOF analysis to profile TBX5 expression alongside dozens of other markers.

  • Imaging mass cytometry: Apply TBX5 antibodies in imaging mass cytometry to maintain spatial context while achieving single-cell resolution.

What approaches should researchers use when developing new TBX5 antibodies for specialized applications?

When developing specialized TBX5 antibodies:

  • Epitope selection: Target unique regions of TBX5 to minimize cross-reactivity with other T-box family members, particularly TBX4 .

  • Isoform consideration: Design immunogens that either distinguish between or recognize all TBX5 isoforms, depending on research needs.

  • Post-translational modification specificity: Develop antibodies recognizing specific post-translational modifications of TBX5 (phosphorylation, SUMOylation) that affect its function.

  • Application-optimized generation: Tailor antibody development processes to the intended application (native vs. denatured recognition).

  • Computational design assistance: Utilize computational approaches for structural bioinformatics studies of antibody CDRs to optimize binding characteristics .

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