Lin7b Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
Lin7b antibody; Mals2 antibody; Veli1a antibody; Veli2Protein lin-7 homolog B antibody; Lin-7B antibody; Mammalian lin-seven protein 2 antibody; MALS-2 antibody; Vertebrate lin-7 homolog 2 antibody; Veli-2 antibody
Target Names
Lin7b
Uniprot No.

Target Background

Function
Lin7b plays a crucial role in the establishment and maintenance of the asymmetrical distribution of channels and receptors at the plasma membrane of polarized cells. It forms membrane-associated multiprotein complexes that regulate the delivery and recycling of proteins to specific membrane domains. The tripartite complex composed of LIN7 (LIN7A, LIN7B or LIN7C), CASK and APBA1 associates with the motor protein KIF17 to transport vesicles containing N-methyl-D-aspartate (NMDA) receptor subunit NR2B along microtubules. This complex potentially couples synaptic vesicle exocytosis to cell adhesion in the brain. Lin7b ensures the proper localization of GRIN2B (subunit 2B of the NMDA receptor) to neuronal postsynaptic density and may function in localizing synaptic vesicles at synapses, where it is recruited by beta-catenin and cadherin. It is required to localize Kir2 channels, GABA transporter (SLC6A12), and EGFR/ERBB1, ERBB2, ERBB3, and ERBB4 to the basolateral membrane of epithelial cells. Lin7b may increase the amplitude of ASIC3 acid-evoked currents by stabilizing the channel at the cell surface.
Gene References Into Functions
  1. Specific Veli isoforms participate in forming distinct protein complexes in the brain, where Veli-1 stably associates with CASK and SAP97, Veli-2 associates with CASK and Mint1, and Veli-3 associates with CASK, SAP97, and Mint1. PMID: 14960569
Database Links
Protein Families
Lin-7 family
Subcellular Location
Cell membrane; Peripheral membrane protein. Basolateral cell membrane; Peripheral membrane protein. Cell junction. Cell junction, synapse, postsynaptic density membrane; Peripheral membrane protein. Cell junction, tight junction.
Tissue Specificity
Expressed only in brain.

Q&A

What is LIN7B and what cellular functions does it serve in research models?

LIN7B (Lin-7 homolog B) is a scaffold protein that plays crucial roles in establishing and maintaining asymmetric distribution of channels and receptors at the plasma membrane of polarized cells. It forms membrane-associated multiprotein complexes that regulate delivery and recycling of proteins to correct membrane domains. In neuronal tissue, LIN7B participates in the tripartite complex with CASK and APBA1, potentially coupling synaptic vesicle exocytosis to cell adhesion in the brain . The protein ensures proper localization of GRIN2B (NMDA receptor subunit 2B) to neuronal postsynaptic density and may function in localizing synaptic vesicles at synapses. In epithelial cells, LIN7B is required for basolateral membrane localization of Kir2 channels, GABA transporter (SLC6A12), and EGFR/ERBB family members . Additionally, it may increase the amplitude of ACCN3 acid-evoked currents by stabilizing the channel at the cell surface.

What types of LIN7B antibodies are commercially available for research applications?

Current research on LIN7B utilizes several types of antibodies with distinct properties:

Antibody TypeHostClonalityConjugateApplicationsSource Reference
12732-1-APRabbitPolyclonalUnconjugatedWB, ELISA
NBP2-72131JF635 (OTI1C9)MouseMonoclonalJanelia Fluor 635CyTOF, FC, ICC/IF, IHC, WB
ABIN7115885RabbitPolyclonalUnconjugatedWB, ELISA
TA501462 (OTI1G1)MouseMonoclonalUnconjugatedFC, ICC, IF, WB

Each antibody offers specific advantages depending on experimental needs. Monoclonal antibodies provide high specificity for particular epitopes, while polyclonal antibodies offer broader epitope recognition. Conjugated antibodies like the Janelia Fluor 635-labeled variant enable direct fluorescence detection without secondary antibodies .

What species reactivity considerations are important when selecting a LIN7B antibody?

Species reactivity is a critical consideration when selecting LIN7B antibodies for cross-species research:

AntibodyTested ReactivityNotes on Reactivity
12732-1-APHuman, Mouse, RatSuccessfully tested in human heart tissue, A549 cells, human brain tissue, and K-562 cells
NBP2-72131JF635Human, Mouse, RatSpecial consideration needed when using mouse-derived antibody in mouse samples
ABIN7115885Human, Mouse, RatImmunogen derived from C. elegans LIN7B homolog
TA501462HumanLimited to human samples based on available data

When using mouse-derived antibodies (like OTI1C9) on mouse samples, researchers should note that Mouse-On-Mouse blocking reagents may be necessary for IHC and ICC experiments to reduce background signal . Always validate antibodies in your specific experimental system, as reactivity can vary based on sample preparation and experimental conditions.

What are optimal dilution ranges for LIN7B antibodies in Western blot applications?

Determining optimal antibody dilutions is essential for successful Western blot experiments with LIN7B:

AntibodyRecommended WB DilutionNotes
12732-1-AP1:1000-1:4000Sample-dependent; verification recommended for each testing system
NBP2-72131JF635Experimentally determinedShould be optimized for each experimental setup
ABIN71158851:500-1:2000May require optimization based on protein expression level
TA501462Not specified in search resultsGeneral starting dilution of 1:1000 suggested

For all antibodies, researchers should perform dilution series experiments to determine optimal concentration for their specific sample types. When detecting endogenous LIN7B (observed at approximately 23 kDa ), higher antibody concentrations may be needed compared to overexpression systems. Secondary antibody selection should be compatible with the primary antibody host species (rabbit or mouse).

What sample preparation techniques optimize LIN7B detection in neuronal and epithelial tissues?

Sample preparation is crucial for successful LIN7B detection, particularly given its function in polarized cells:

For neuronal tissues:

  • Preserve synaptic structures using gentle homogenization methods in cold buffer containing protease inhibitors.

  • Consider tissue fixation with 4% paraformaldehyde for immunohistochemistry applications to maintain spatial organization.

  • For subcellular fractionation studies, use established protocols for isolating postsynaptic densities where LIN7B localizes.

For epithelial cells:

  • Maintain cell polarity during sample preparation to preserve basolateral localization patterns.

  • Use extraction buffers containing mild detergents (0.5-1% Triton X-100) to preserve protein-protein interactions.

  • For co-immunoprecipitation studies examining LIN7B complexes, consider crosslinking approaches to stabilize transient interactions.

The observed molecular weight of LIN7B is 23 kDa , consistent with its calculated molecular weight from the 207 amino acid sequence. When preparing samples, ensure complete denaturation for SDS-PAGE by heating at 95°C for 5 minutes in sample buffer containing SDS and reducing agents.

What are the optimal storage conditions for maintaining LIN7B antibody stability and performance?

Proper storage is critical for maintaining antibody functionality over time:

AntibodyStorage BufferStorage TemperatureStability PeriodAdditional Notes
12732-1-APPBS with 0.02% sodium azide and 50% glycerol, pH 7.3-20°COne year after shipmentAliquoting unnecessary for -20°C storage; 20μl sizes contain 0.1% BSA
NBP2-72131JF63550mM Sodium Borate with 0.05% Sodium Azide4°C in the darkNot specifiedLight-sensitive due to fluorophore conjugation
ABIN7115885PBS with 0.02% sodium azide and 50% glycerol, pH 7.3Not specifiedNot specifiedContains sodium azide (hazardous)
TA501462PBS with 1% BSA, 50% glycerol and 0.02% sodium azideNot specifiedNot specifiedContains BSA for improved stability

General recommendations for all LIN7B antibodies:

  • Avoid repeated freeze-thaw cycles by preparing working aliquots upon first thaw

  • Store in the dark, especially for fluorophore-conjugated antibodies

  • Centrifuge briefly before opening vials to collect liquid at the bottom

  • Monitor for signs of microbial contamination or precipitation

How can LIN7B antibodies be optimized for multi-color immunofluorescence studies of synaptic proteins?

Multi-color immunofluorescence studies examining LIN7B and its binding partners at synapses require careful experimental design:

For co-localization with synaptic markers:

  • Select LIN7B antibodies raised in different host species than other target antibodies to avoid cross-reactivity

  • For studies using NBP2-72131JF635 (Janelia Fluor 635 conjugate), design your panel with fluorophores having minimal spectral overlap with JF635 emission

  • When examining postsynaptic density, consider co-staining with PSD-95, GRIN2B, or other known LIN7B-interacting proteins

  • Use confocal microscopy with appropriate controls for bleed-through and cross-talk

Protocol considerations:

  • Implement sequential staining approaches for multiple monoclonal antibodies

  • For mouse-derived antibodies like OTI1C9 or OTI1G1 on mouse tissue, use Mouse-on-Mouse blocking reagents as recommended to minimize background

  • Optimize fixation protocols (4% PFA for 10-15 minutes) to preserve LIN7B localization while maintaining epitope accessibility

  • Consider tissue clearing techniques for thicker sections to improve signal-to-noise ratio when examining synaptic structures

What approaches can be used to study LIN7B-mediated protein transport in polarized cells?

LIN7B's role in establishing and maintaining asymmetric protein distribution can be studied through several sophisticated approaches:

  • Live-cell imaging techniques:

    • Combine LIN7B antibodies with fluorescently-tagged membrane proteins known to be regulated by LIN7B (e.g., EGFR family members)

    • Use pulse-chase experiments with antibodies against extracellular domains of transmembrane proteins to track their movement in polarized cells

  • Biochemical fractionation:

    • Separate apical and basolateral membrane fractions from polarized epithelial cells

    • Use LIN7B antibodies in Western blot analysis to correlate LIN7B localization with its cargo proteins

  • Proximity ligation assays:

    • Employ LIN7B antibodies in conjunction with antibodies against potential interacting partners

    • Quantify protein-protein interactions in different cellular compartments and under various experimental conditions

  • CRISPR-based approaches:

    • Generate LIN7B knockout or tagged cell lines

    • Use LIN7B antibodies to validate editing and track resulting changes in protein localization

These approaches can help elucidate how LIN7B contributes to protein sorting and membrane domain organization in polarized cells, with particular relevance to neuronal and epithelial cell biology.

What are common causes of non-specific binding with LIN7B antibodies and how can they be minimized?

Non-specific binding can complicate interpretation of LIN7B antibody experiments. Here are strategies to improve specificity:

IssuePotential CausesMitigation Strategies
High background in Western blotsInsufficient blocking, excessive antibody concentrationOptimize blocking (5% non-fat milk or BSA); titrate antibody to lower concentrations; increase washing duration/frequency with 0.1% TBST
Multiple bands in WBCross-reactivity with related proteins (LIN7A, LIN7C)Use monoclonal antibodies targeting unique regions; verify with knockout controls; perform peptide competition assays
Non-specific staining in IHC/ICCEndogenous peroxidase activity; insufficient blockingBlock with appropriate serum; quench endogenous peroxidases with H₂O₂; for mouse antibodies on mouse tissue, use specialized blocking reagents
False positives in immunoprecipitationNon-specific binding to beads/protein A/GPre-clear lysates; include IgG controls; use more stringent washing conditions

For particularly challenging applications, consider using alternative detection methods or multiple antibodies recognizing different LIN7B epitopes to confirm findings.

How can researchers validate the specificity of LIN7B antibodies in their experimental systems?

  • Genetic approach validations:

    • Test antibodies on samples from LIN7B knockout/knockdown models

    • Compare staining patterns in cells overexpressing tagged LIN7B

    • Use siRNA to reduce LIN7B expression and confirm corresponding reduction in signal

  • Biochemical validations:

    • Perform peptide competition assays using the immunizing peptide

    • Compare results from multiple antibodies targeting different epitopes

    • Confirm expected molecular weight (23 kDa for LIN7B )

  • Functional validations:

    • Verify expected subcellular localization patterns (e.g., enrichment at postsynaptic densities in neurons)

    • Confirm co-immunoprecipitation with known binding partners

    • Validate expression patterns across tissues known to express LIN7B (brain, heart )

What analytical approaches help resolve conflicting results between different LIN7B antibodies?

When different LIN7B antibodies produce inconsistent results, systematic troubleshooting is required:

  • Technical considerations:

    • Compare epitope regions recognized by each antibody (N-terminal vs. C-terminal)

    • Assess different fixation/extraction methods that may affect epitope accessibility

    • Evaluate potential post-translational modifications affecting antibody recognition

    • Consider antibody class differences (polyclonal vs. monoclonal)

  • Analytical approaches:

    • Perform side-by-side comparisons under identical conditions

    • Use orthogonal methods to confirm findings (mass spectrometry, RNA expression)

    • Quantify relative sensitivity using purified recombinant LIN7B standards

    • Employ tissue from LIN7B knockout models as negative controls

  • Resolution strategies:

    • For critical experiments, use multiple antibodies and report all results

    • Consider additional validation through genetic approaches

    • Be transparent about limitations and discrepancies when reporting findings

    • Contact antibody manufacturers for technical support regarding specific applications

Methodological conflicts between antibodies often reveal important biological insights about protein isoforms, modifications, or complex formation, and should be thoroughly investigated rather than dismissed.

What emerging techniques are advancing LIN7B research beyond traditional antibody applications?

While antibodies remain foundational tools, emerging technologies are expanding LIN7B research capabilities:

  • Proximity labeling approaches:

    • BioID or APEX2 fusion proteins to identify LIN7B-proximal proteins in living cells

    • TurboID for rapid labeling of transient interactions in the LIN7B interactome

  • Advanced imaging techniques:

    • Super-resolution microscopy (STORM, PALM) to visualize LIN7B nanoscale organization

    • Expansion microscopy for improved spatial resolution of synaptic LIN7B localization

    • Live-cell single-molecule tracking to monitor LIN7B dynamics

  • Functional genomics:

    • CRISPR screens to identify factors affecting LIN7B localization and function

    • Domain-specific mutations to dissect functional regions of LIN7B

  • Structural biology:

    • Cryo-EM studies of LIN7B within multiprotein complexes

    • Integrative structural approaches combining crystallography, NMR, and computational modeling

These technologies complement antibody-based methods and promise to provide deeper insights into LIN7B's role in cellular organization, particularly at neuronal synapses and epithelial cell junctions where its scaffolding functions are critical.

How can researchers effectively integrate LIN7B antibody data with other protein interaction data?

  • Data integration strategies:

    • Compare immunoprecipitation results with published interactome databases

    • Correlate LIN7B localization patterns with functional readouts of membrane protein activity

    • Connect antibody-based findings with genetic interaction data from model organisms

  • Computational approaches:

    • Network analysis to position LIN7B within broader signaling pathways

    • Correlative analysis between LIN7B expression and its binding partners across tissues

    • Predictive modeling of scaffold protein assemblies based on experimental constraints

  • Functional validation:

    • Test predictions from integrated datasets through targeted experiments

    • Design mutation studies informed by structural and interaction data

    • Use systems biology approaches to understand LIN7B in broader cellular contexts

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