PLS3 Antibody, FITC conjugated

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Description

Western Blotting (WB):

  • Dilution range: 1:100–1:1,000 for detection of PLS3 in lysates from breast cancer cells, fibroblasts, and microvilli .

  • Cancer research: PLS3 is overexpressed in triple-negative breast cancer (TNBC) and HER2-negative subtypes, correlating with poor prognosis .

Immunofluorescence (IF):

  • Cytoplasmic and nuclear localization observed in breast cancer cells and disseminated tumor cells (DTCs) .

  • FITC excitation/emission: 499/515 nm (488 nm laser line) .

Immunohistochemistry (IHC):

Research Findings

Biomarker Potential:

  • PLS3 mRNA levels in peripheral blood correlate with CTC presence in metastatic breast cancer, with 65.5% of patients testing positive .

  • Multivariate analysis shows PLS3 expression independently predicts poor DFS (HR = 2.67, P = 0.0013) and OS (HR = 4.34, P = 0.0023) .

Cancer Pathophysiology:

  • PLS3 stabilizes F-actin bundles, facilitating cancer cell migration and invasion .

  • Co-expression with epithelial-to-mesenchymal transition (EMT) markers highlights its role in metastasis .

  1. Avivasysbio. PLS3 Antibody : FITC (OABF01285-FITC).

  2. Abcam. Anti-T Plastin/PLS3 antibody (ab233104).

  3. Qtonics. PLS3 Antibody, FITC conjugated.

  4. PMC4453677. Circulating tumour cell-derived plastin3 is a novel marker for identifying groups at risk of recurrence or with a poor prognosis.

  5. PMC8257523. Plastin 3 in health and disease: a matter of balance.

  6. Abbexa. Plastin-3 (PLS3) Antibody (FITC).

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your orders within 1-3 business days of receipt. Delivery times may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery timeframes.
Synonyms
BMND18 antibody; Plastin 3 (T isoform) antibody; Plastin 3 antibody; Plastin-3 antibody; PLS3 antibody; PLST_HUMAN antibody; T fimbrin antibody; T-plastin antibody
Target Names
PLS3
Uniprot No.

Target Background

Function
PLS3 Antibody, FITC conjugated is a protein that bundles actin filaments. It is found in various cellular structures including intestinal microvilli, hair cell stereocilia, and fibroblast filopodia. This protein may play a crucial role in regulating bone development.
Gene References Into Functions
  1. Deletions in the PLS3 gene have been linked to severe childhood-onset osteoporosis. This occurs due to defects in bone matrix mineralization. PMID: 28777485
  2. PLS3 sequencing in children with primary osteoporosis has identified two novel disease-causing variants. PMID: 28748388
  3. T-plastin, encoded by PLS3, mediates the trafficking of cellular components in response to low oxygen levels (hypoxia). PMID: 28218996
  4. Mutations in the PLS3 gene have been implicated in the pathogenesis of low turnover osteoporosis. PMID: 28379384
  5. Patients with osteoporosis due to PLS3 mutations have shown positive responses to teriparatide treatment. PMID: 27732335
  6. Research suggests that genes involved in the classic apoptosis pathway are implicated in neuronal death associated with a specific gene defect (smn-1). This phenotype can be reversed by expressing the human SMN1 gene, highlighting functional conservation between the two genes. Furthermore, studies have shown that Plastin3/plst-1 interacts genetically with smn-1 to prevent degeneration. Treatment with valproic acid can rescue the degenerative phenotype. PMID: 27260405
  7. The expression of PLS3 does not always modify the severity of a specific genetic disorder (SMA). PMID: 27279027
  8. These findings emphasize the role of genetic modifiers, PLS3 and CORO1C, in understanding the cellular mechanisms underlying spinal muscular atrophy (SMA). This research also highlights the potential for combination therapy that involves correcting splicing defects in a specific gene (SMN2) and improving endocytosis to effectively treat SMA. PMID: 27499521
  9. Further investigation is needed to clarify the role of PLS3 in diagnosing, predicting, treating, and monitoring the treatment of colorectal cancer. PMID: 26146096
  10. PLS3 has been identified as a genuine protective modifier in individuals with spinal muscular atrophy who lack a specific gene (SMN1). PMID: 26573968
  11. Measuring the levels of SMN and PLS3 transcripts and proteins in motor neurons derived from induced pluripotent stem cells has shown limited value as biomarkers for spinal muscular atrophy. PMID: 26114395
  12. High levels of recombinant hPLS3 mRNA were expressed in the motor neurons of SMA mice, and an increased level of PLS3 protein was observed in the spinal cord. However, neither survival nor fundamental electrophysiological aspects of the neuromuscular junction showed improvement. PMID: 26134627
  13. Research findings confirm the role of PLS3 mutations in early onset osteoporosis. While the precise mechanism by which PLS3 affects bone health remains unclear, it may be linked to the function of osteocyte dendrites and skeletal mechanosensing. PMID: 25209159
  14. Plastin 3 plays a regulatory role in the organization of actin microfilament bundles at a specific cellular structure (ES). It dictates the configuration of the filamentous actin network within this structure. PMID: 26048141
  15. PLS3 has been detected in circulating tumor cells undergoing a specific cellular process (epithelial-mesenchymal transition) in patients with breast cancer. This finding suggests its potential as a valuable biomarker for identifying individuals at risk of recurrence or with a poor prognosis. PMID: 25880010
  16. Overexpression of PLS3 has been associated with colorectal cancer. PMID: 24217791
  17. T-plastin expression, regulated by a specific signaling pathway (calcineurin/NFAT pathway), is involved in the migration of keratinocytes. PMID: 25226517
  18. Data suggest that specific genetic variations (SNPs) in the plastin genes PLS3 and LCP1 could serve as gender- and/or stage-specific molecular predictors of tumor recurrence in patients with colorectal cancer at stages II and III. These variations could also be potential therapeutic targets. PMID: 24170770
  19. Loss of PLS3 has been linked to spinal muscular atrophy. PMID: 24271012
  20. PLS3 gene expression and spinal muscular atrophy (SMA) phenotype: A commentary on the correlation of PLS3 expression with disease severity in children with SMA. PMID: 24284364
  21. The PLS3 gene may play an age-, gender-, and puberty-specific role in the severity of SMA in children. PMID: 24172247
  22. Plastin 3 (PLS3) appears to be important for human bone health, as evidenced by pathogenic variants in PLS3 identified in five families with X-linked osteoporosis and osteoporotic fractures. PMID: 24088043
  23. A study identified a common gene variant in PLS3 as an independent prognostic marker for female patients with stage II and III colon cancer. PMID: 23549633
  24. Overexpression of PLS3 has been observed to stabilize axons, which delays axon pruning and counteracts poor axonal connectivity in the neuromuscular junctions of individuals with spinal muscular atrophy. PMID: 23263861
  25. Overexpression of PLS3 has been associated with epithelial-mesenchymal transition and metastasis in colorectal cancer. PMID: 23378342
  26. The expression of PLS3, Twist, KIR3DL2, and NKp46 genes can be used to develop a robust molecular diagnostic model for Sezary syndrome. PMID: 23429988
  27. PLS3 is expressed in a majority of patients with Sezary syndrome, providing insights into the molecular regulation of PLS3 expression in a specific type of skin cancer (CTCL). PMID: 22495182
  28. T-plastin is a marker specifically found in malignant lymphocytes from patients with Sezary syndrome and plays a role in cell survival and migration. PMID: 22627769
  29. The PLS3 gene might be an age- and/or puberty-specific and sex-specific modifier of spinal muscular atrophy. PMID: 20937953
  30. The expression of T-plastin in the placenta may be associated with the increased replicative potential of placental trophoblasts. PMID: 14567899
  31. T-plastin has the potential to be a valuable marker specific to Sezary cells, aiding in the diagnosis and treatment of Sezary syndrome. PMID: 14612505
  32. T-plastin enhances actin-based movement mediated by a specific protein complex (Arp2/3). PMID: 15741236
  33. T-fimbrin, another protein involved in actin regulation, plays a role in the cellular response to DNA damage. PMID: 16142308
  34. Females who do not have a specific genetic disorder (SMN1-deleted) exhibit significantly higher expression of PLS3 compared to their affected counterparts with spinal muscular atrophy. PMID: 18440926
  35. Increased levels of T-plastin have been associated with a specific type of leukemia (leukemic cutaneous T-cell lymphoma). PMID: 18569641

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Database Links

HGNC: 9091

OMIM: 166710

KEGG: hsa:5358

STRING: 9606.ENSP00000348163

UniGene: Hs.496622

Involvement In Disease
Osteoporosis (OSTEOP)
Subcellular Location
Cytoplasm.
Tissue Specificity
Expressed in a variety of organs, including muscle, brain, uterus and esophagus.

Q&A

What is PLS3 and why is it a significant research target?

PLS3 (Plastin 3, also known as T-plastin) is an actin-bundling protein found in intestinal microvilli, hair cell stereocilia, and fibroblast filopodia . The protein plays a crucial role in the regulation of bone development . As an important cytoskeletal protein involved in cellular structure and function, PLS3 has become a significant target for research in developmental biology, cellular mechanics, and disease pathology. PLS3 antibodies are essential tools for studying the expression patterns, localization, and interactions of this protein in various tissues and experimental models.

What are the key differences between polyclonal and monoclonal PLS3 antibodies for research applications?

While the search results primarily feature polyclonal PLS3 antibodies , understanding the distinction is critical for experimental design:

FeaturePolyclonal PLS3 AntibodiesMonoclonal PLS3 Antibodies
Epitope RecognitionMultiple epitopes across PLS3Single specific epitope
Signal StrengthGenerally stronger due to multiple binding sitesMay require signal amplification
Batch-to-Batch VariationHigher variabilityConsistent performance
BackgroundPotentially higher non-specific bindingGenerally cleaner background
ApplicationsExcellent for detection of low-abundance proteinsPreferred for highly specific applications
FITC Conjugation ImpactVariable effects on different epitope-binding populationsConsistent effect on binding capacity

For most research applications where signal detection is prioritized, polyclonal FITC-conjugated PLS3 antibodies offer robust detection, while applications requiring absolute epitope specificity might benefit from monoclonal alternatives.

How should I determine the optimal working dilution for FITC-conjugated PLS3 antibody in different applications?

Determining optimal working dilutions requires systematic titration rather than relying solely on manufacturer recommendations. While general guidelines suggest 0.5-2 μg/ml for Western blotting and 5-20 μg/ml for IHC and IF/ICC applications , these ranges should be validated in your specific experimental system.

Methodological approach:

  • Prepare serial dilutions spanning and extending beyond the recommended range

  • Test on positive control samples with known PLS3 expression

  • Include negative controls (samples without PLS3 expression)

  • Evaluate signal-to-noise ratio, not just signal intensity

  • Consider that FITC-labeling index affects both sensitivity and non-specific binding

Document the optimization process systematically in a table format recording dilution, exposure time, signal intensity, and background for each application to establish reproducible protocols for your specific experimental conditions.

What controls are essential when designing experiments with FITC-conjugated PLS3 antibodies?

A robust experimental design with FITC-conjugated PLS3 antibodies requires multiple controls to ensure reliable interpretation:

  • Positive tissue/cell controls: Samples with confirmed PLS3 expression (e.g., fibroblasts, specific intestinal cells)

  • Negative tissue/cell controls: Samples with confirmed absence of PLS3 expression

  • Isotype control: FITC-conjugated rabbit IgG at the same concentration to assess non-specific binding

  • Autofluorescence control: Untreated samples to establish baseline fluorescence

  • Cross-reactivity controls: Samples containing potential cross-reactive proteins

  • Absorption control: Pre-incubation of the antibody with recombinant PLS3 protein to confirm specificity

  • FITC quenching control: To assess photobleaching effects during imaging

These controls help distinguish between true positive staining and artifacts, particularly important given that FITC conjugation can impact both sensitivity and specificity of antibody binding .

How do I design multiplexing experiments incorporating FITC-conjugated PLS3 antibodies with other fluorescent markers?

Successful multiplexing with FITC-conjugated PLS3 antibodies requires careful consideration of spectral properties and staining protocols:

  • Spectral separation planning:

    • FITC (excitation/emission: 499/515 nm) should be paired with fluorophores having minimal spectral overlap

    • Recommended compatible fluorophores: DAPI (nuclear), Cy5/Alexa 647 (far-red), TRITC/Cy3 (red)

  • Sequential vs. simultaneous staining:

    • If antibodies are from different host species: simultaneous staining possible

    • If antibodies are from the same host: sequential staining with blocking steps required

  • Cross-talk prevention:

    • Include single-color controls for each fluorophore

    • Apply spectral unmixing during image acquisition if available

    • Consider photobleaching properties of FITC when designing imaging sequence

  • Optimization strategy:

    • Test antibodies individually before combining

    • Adjust concentrations to achieve comparable signal intensities

    • Validate that co-staining doesn't alter individual staining patterns

Remember that FITC is more prone to photobleaching than some newer fluorophores, so consider this limitation when designing time-intensive imaging experiments or when repeated imaging of the same field is required.

What are the optimal storage and handling conditions to maintain FITC-conjugated PLS3 antibody functionality?

FITC-conjugated antibodies require specific handling practices to maintain their fluorescent properties and binding capacity:

  • Storage temperature: Store aliquoted antibody at -20°C for long-term storage . Some suppliers recommend -80°C for extended periods .

  • Light protection: FITC is highly photosensitive; always store and handle in amber tubes or wrapped in aluminum foil to prevent photobleaching.

  • Aliquoting strategy: Upon receipt, prepare small single-use aliquots to avoid repeated freeze-thaw cycles .

  • Buffer considerations: The antibody is typically supplied in PBS (pH 7.4) with glycerol (50%) and preservatives like Proclin-300 (0.03-0.05%) . Maintain these conditions when diluting.

  • Working solution stability: Freshly prepared dilutions should ideally be used within 24 hours. If necessary, working dilutions can be stored at 4°C protected from light for up to one week, but sensitivity may decrease.

  • Transportation: Always transport on ice and protected from light.

  • Quality control: Before each important experiment, verify fluorescence activity using a small sample under fluorescent microscopy.

These practices will significantly extend the functional lifespan of your FITC-conjugated PLS3 antibody and ensure consistent experimental results.

How do I optimize immunohistochemistry protocols for FITC-conjugated PLS3 antibodies in different tissue types?

Optimizing IHC protocols for FITC-conjugated PLS3 antibodies requires tissue-specific adaptations:

  • Fixation considerations:

    • Formalin-fixed tissues: Ensure optimal antigen retrieval (typically heat-induced epitope retrieval at pH 6.0 or 9.0)

    • Fresh frozen tissues: Test both acetone and 4% paraformaldehyde fixation to determine optimal preservation of both antigen and tissue morphology

  • Blocking optimization:

    • Include both protein blocking (3-5% BSA or serum) and permeabilization steps

    • For tissues with high autofluorescence (like liver), add an autofluorescence quenching step

    • For tissues with endogenous biotin, include a biotin/avidin blocking step

  • Antibody concentration ranges:

    • Starting concentration of 5-20 μg/ml recommended for IHC applications

    • Bone and calcified tissues may require higher concentrations due to matrix interference

    • Soft tissues with high PLS3 expression may require lower concentrations to avoid saturation

  • Incubation parameters:

    • Test both overnight incubation at 4°C and 2-hour incubation at room temperature

    • Always incubate in humidified chambers and protected from light

  • Signal detection optimization:

    • Avoid embedding media containing fluorescence preservatives that might interfere with FITC spectra

    • Use mounting media containing anti-fade agents specifically compatible with FITC

Remember that FITC-labeling can affect binding characteristics , so validation against unconjugated primary plus FITC-secondary approach may help distinguish between true and artificial staining patterns.

What methods should be used to quantify PLS3 expression levels using FITC-conjugated antibodies in flow cytometry?

Quantitative analysis of PLS3 expression by flow cytometry requires careful standardization:

  • Standardization approach:

    • Use calibration beads with defined FITC fluorescence intensities to create a standard curve

    • Convert arbitrary fluorescence units to Molecules of Equivalent Soluble Fluorochrome (MESF)

    • Include standardized cells with known PLS3 expression levels as internal references

  • Controls for accurate quantification:

    • Unstained cells to establish autofluorescence baseline

    • Isotype control (FITC-conjugated rabbit IgG) at identical concentration

    • Compensation controls if performing multicolor analysis

    • Blocking controls to confirm specificity

  • Gating strategy:

    • First gate on viable cells (using viability dye)

    • Apply consistent FSC/SSC gates across samples

    • Use fluorescence minus one (FMO) controls to set positive/negative boundaries

  • Analysis metrics:

    • Mean or median fluorescence intensity (MFI) rather than percentage positive

    • Relative expression index: Sample MFI divided by isotype control MFI

    • Consider using resolution index: (Sample mean - control mean) / (2 × √(sample SD² + control SD²))

  • Normalization approaches:

    • Normalize to housekeeping protein if performing permeabilized cell staining

    • Consider using Quantitative Flow Cytometry (QFCM) with beads of known antibody binding capacity

This methodological approach provides more reliable quantitative data than simple positive/negative classification, especially important for PLS3 which may show varying expression levels in different cell populations.

How can I distinguish between specific PLS3 binding and non-specific background in FITC-conjugated antibody applications?

Distinguishing specific from non-specific signals requires systematic analysis:

  • Control-based approach:

    • Compare to FITC-conjugated isotype control at the same concentration

    • Evaluate pre-absorption controls where antibody is pre-incubated with recombinant PLS3

    • Test in tissues/cells known to be negative for PLS3 expression

    • Validate with alternative PLS3 antibodies targeting different epitopes

  • Signal pattern analysis:

    • Specific PLS3 staining should follow its known subcellular localization patterns

    • Diffuse cytoplasmic signal without anatomical correlation suggests non-specific binding

    • Membranous staining for PLS3 would be suspicious as it's primarily cytoplasmic/cytoskeletal

  • FITC-specific considerations:

    • FITC with higher labeling indices tends to show increased non-specific binding

    • Tissue autofluorescence in the FITC spectrum can be distinguished by its presence in unstained controls

    • Photobleaching affects specific and non-specific binding differently during repeated imaging

  • Technical validation:

    • Compare results from multiple applications (IF, IHC, WB) for consistency

    • Correlate with mRNA expression data where available

    • Consider secondary validation with mass spectrometry or other protein detection methods

Remember that the relationship between FITC labeling index and both sensitivity and non-specificity is critical, as higher labeling can increase detection but may compromise specificity .

What approaches help troubleshoot weak or absent signals when using FITC-conjugated PLS3 antibodies?

When facing weak or absent signals, consider this systematic troubleshooting approach:

  • Antibody functionality assessment:

    • Verify FITC fluorescence activity using a fluorometer or microscope

    • Check antibody storage conditions (improper storage can reduce activity)

    • Test antibody on positive control samples with known high PLS3 expression

    • Consider the impact of FITC labeling on binding affinity

  • Protocol optimization:

    • Increase antibody concentration (up to 2-3× recommended concentration)

    • Extend incubation time (overnight at 4°C instead of 1-2 hours)

    • Optimize antigen retrieval methods (test multiple pH buffers and retrieval times)

    • Increase permeabilization for intracellular staining

  • Sample-specific factors:

    • Check tissue fixation (overfixation can mask epitopes)

    • Ensure sample freshness (degraded samples may lose antigenicity)

    • Verify sample preparation (processing artifacts can impact antibody access)

    • Consider biological variation in PLS3 expression levels

  • Detection system enhancement:

    • Use anti-FITC amplification systems if available

    • Optimize microscope settings (exposure, gain, etc.)

    • Switch to more sensitive detection systems

    • Consider alternative conjugated fluorophores with greater photostability

  • Experimental design revision:

    • Try unconjugated primary PLS3 antibody with FITC-conjugated secondary

    • Test alternative PLS3 antibodies recognizing different epitopes

    • Consider RNA-level validation via in situ hybridization

Document all troubleshooting steps methodically to establish an optimized protocol for future experiments.

How do I normalize and quantify FITC-conjugated PLS3 antibody signals in fluorescence microscopy?

Quantitative analysis of fluorescence microscopy data requires rigorous normalization procedures:

  • Image acquisition standardization:

    • Use identical exposure settings, gain, and offset across all experimental groups

    • Avoid saturation in brightest samples by setting exposure below maximal pixel values

    • Acquire calibration images using standardized FITC beads in each session

    • Include flat-field correction to account for illumination heterogeneity

  • Background subtraction methods:

    • Apply rolling ball algorithm for uniform background

    • Use region of interest (ROI) from negative tissue areas for local background

    • Subtract mean fluorescence of isotype control samples

  • Normalization strategies:

    • Normalize to reference fluorophore (nuclear dye or constitutive marker)

    • Use relative fluorescence units (RFU) compared to standard sample

    • Calculate corrected total cell fluorescence (CTCF) = Integrated Density - (Area × Mean background fluorescence)

  • Quantification approaches:

    • Mean fluorescence intensity within defined ROIs

    • Integrated density measurements for total signal

    • Colocalization coefficients if performing double staining (Pearson's, Mander's)

    • Distribution analysis (cytoplasmic vs. membrane vs. nuclear)

  • Statistical analysis considerations:

    • Account for autofluorescence variation between tissues/samples

    • Apply appropriate statistical tests based on data distribution

    • Use sufficient biological and technical replicates (minimum n=3)

    • Consider potential photobleaching effects during quantification

These methodological approaches ensure reliable and reproducible quantification that can be compared across experiments and between research groups.

How does FITC conjugation affect the binding kinetics and epitope recognition of PLS3 antibodies?

FITC conjugation can significantly impact antibody performance characteristics:

  • Binding kinetics alterations:

    • FITC labeling typically reduces association rates (kon) due to steric hindrance

    • Higher FITC-labeling indices correlate negatively with binding affinity

    • The dissociation constant (KD) may increase 2-5 fold depending on labeling density

    • Equilibrium binding time may need extension compared to unconjugated antibodies

  • Epitope accessibility effects:

    • FITC molecules (389 Da) add substantial mass to lysine residues

    • Lysines near the antigen-binding site experience greater impact on recognition

    • Conformational epitopes are typically more affected than linear epitopes

    • Multiple FITC molecules can alter antibody folding and flexibility

  • Methodological approaches to characterize impact:

    • Surface Plasmon Resonance (SPR) comparing labeled vs. unlabeled antibodies

    • Competitive binding assays with labeled vs. unlabeled antibody

    • Epitope mapping before and after conjugation

    • Dose-response curves to calculate EC50 shifts after conjugation

  • Experimental compensation strategies:

    • Select antibodies with optimal FITC-labeling indices (moderate labeling)

    • Extend incubation times to reach binding equilibrium

    • Increase antibody concentration to compensate for reduced affinity

    • Consider site-specific conjugation methods that avoid antigen-binding regions

Understanding these molecular interactions helps researchers select appropriately labeled antibodies and design experiments that account for altered binding properties.

What methodological approaches enable simultaneous detection of PLS3 protein interactions and localization using FITC-conjugated antibodies?

Advanced protein interaction studies require sophisticated methodological approaches:

  • Proximity Ligation Assay (PLA) with FITC readout:

    • Adapt standard PLA protocols to use FITC-conjugated PLS3 antibody as one of the detection antibodies

    • Optimize oligonucleotide-conjugated secondary antibody concentration

    • Use rolling circle amplification with complementary FITC-labeled oligonucleotides

    • Validate specificity with appropriate controls (single antibody, non-interacting protein pairs)

  • Combined Immunoprecipitation and Fluorescence Detection:

    • Use FITC-conjugated PLS3 antibody for immunoprecipitation

    • Analyze precipitated complexes by fluorescence scanning after SDS-PAGE

    • Quantify co-precipitated proteins using fluorescence intensity ratios

    • Validate with reverse immunoprecipitation using antibodies against putative interacting partners

  • Live-cell FRET microscopy approaches:

    • Combine FITC-conjugated PLS3 antibody microinjection with cells expressing potential interacting partners tagged with compatible FRET acceptors

    • Calculate energy transfer efficiency using acceptor photobleaching or sensitized emission

    • Perform controls with non-interacting proteins and spectral bleed-through corrections

    • Map interaction domains through deletion construct experiments

  • FITC-based FLIM (Fluorescence Lifetime Imaging Microscopy):

    • Measure FITC fluorescence lifetime changes when bound to target vs. when in proximity to interaction partners

    • Distinguish specific interactions from co-localization based on lifetime shifts

    • Create lifetime maps to visualize interaction microdomains within cells

    • Correlate with functional cellular assays to determine biological significance

These advanced methodologies provide multidimensional data on both PLS3 localization and its physical interactions with other cellular components.

How can FITC-conjugated PLS3 antibodies be utilized in therapeutic epitope grafting studies for cancer research?

Building on emerging research in pH-dependent epitope grafting , FITC-conjugated PLS3 antibodies offer unique opportunities for therapeutic development:

  • pH-Dependent FITC-pHLIP Conjugate Design:

    • Adapt the pHLIP (pH Low Insertion Peptide) system for PLS3-expressing cancer targeting

    • Engineer FITC-conjugated antibodies with pH-sensitive linkers that expose epitopes selectively in acidic tumor microenvironments

    • Optimize FITC:antibody ratio to balance detection sensitivity with binding specificity

    • Develop dual-function constructs where FITC serves as both imaging reporter and immune engager

  • Experimental validation methodology:

    • Test pH-dependent binding in gradient systems mimicking tumor microenvironment

    • Quantify antibody recruitment to cancer cells using fluorescence-based assays

    • Compare binding profiles of differently labeled antibodies across pH ranges

    • Validate specificity using PLS3-knockdown cancer cell models

  • Translational research applications:

    • Design therapeutic monitoring systems using FITC fluorescence as biomarker

    • Develop theranostic approaches combining PLS3-targeting with FITC-based readouts

    • Establish image-guided surgical applications using FITC fluorescence for tumor margin detection

    • Create companion diagnostic protocols using FITC signal intensity for patient stratification

  • Advanced antibody engineering considerations:

    • Integrate site-specific FITC conjugation to preserve critical binding domains

    • Combine with complementary epitopes for enhanced immune recognition

    • Develop bispecific formats targeting both PLS3 and immune effector cells

    • Engineer antibody fragments with optimized tissue penetration while maintaining FITC signal

This frontier research area represents the intersection of basic PLS3 biology, antibody technology, and translational cancer therapeutics with significant potential for clinical development.

What are the key considerations for validating FITC-conjugated PLS3 antibodies in multi-omics research frameworks?

Integrating FITC-conjugated PLS3 antibody data with other omics platforms requires careful methodological alignment:

  • Validation against transcriptomics:

    • Correlate protein detection levels with PLS3 mRNA expression

    • Account for potential post-transcriptional regulation

    • Design validation experiments using cells with manipulated PLS3 expression

    • Consider temporal dynamics of RNA vs. protein expression

  • Integration with proteomics data:

    • Compare antibody-based detection with mass spectrometry quantification

    • Validate isoform specificity against proteomics datasets

    • Develop normalization strategies to align antibody-based and MS-based quantification

    • Cross-validate modification-specific detection between platforms

  • Correlation with functional genomics:

    • Design parallel experiments using CRISPR-modified PLS3 models

    • Validate antibody specificity in knockout/knockdown systems

    • Quantify dose-dependent relationships between gene expression and protein detection

    • Establish calibration curves for meaningful cross-platform comparison

  • Future methodology development needs:

    • Standardized reporting formats for antibody validation across platforms

    • Development of universal calibration standards for cross-laboratory comparability

    • Integration of machine learning approaches for pattern recognition across multi-omics datasets

    • Automated analysis pipelines connecting imaging data with molecular profiling results

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