fam155b Antibody

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Description

Antibody Characterization and Validation

FAM155B antibodies are primarily polyclonal, developed for applications such as immunohistochemistry (IHC), Western blot (WB), and immunofluorescence. Key features include:

2.1. Expression in Normal and Neoplastic Tissues

  • Normal Tissues: High expression in neuronal/neuroendocrine tissues (e.g., brain cortex, pancreatic islets) and syncytiotrophoblasts of the placenta .

  • Cancer:

    • Breast Cancer: Overexpressed in MCF7 cell lines; reduced expression upon estrogen receptor silencing .

    • Thyroid Cancer: Differentially expressed in BRAF-mutant papillary thyroid carcinoma .

    • Other Cancers: Elevated in medullary thyroid carcinoma, small-cell lung cancer, and neuroendocrine tumors .

2.2. Functional Insights

  • Immune Interaction: Binds complement system proteins (C3, C1R) and SH2B3, linking T-cell receptor signaling .

  • Cancer Pathways: Potential role in β-cell exocytosis regulation and tumor progression via metallocarboxypeptidase interactions (AGBL4/5) .

Clinical Significance

  • Biomarker Potential:

    • Differential expression in breast and thyroid cancers suggests utility in diagnostics .

    • Associated with chemotherapy response in neuroendocrine tumors .

  • Therapeutic Target:

    • siRNA-mediated knockdown reduces exocytotic activity in β-cells, implicating FAM155B in metabolic disorders .

Challenges and Future Directions

  • Limitations: Lack of monoclonal antibodies and incomplete functional annotation hinder mechanistic studies.

  • Priorities:

    • Development of isoform-specific antibodies (two isoforms: 340 vs. 292 amino acids) .

    • Large-scale proteomic studies to map interaction networks in cancer subtypes .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
fam155b; si:dkey-48f17.1; zgc:158322; Transmembrane protein FAM155B
Target Names
fam155b
Uniprot No.

Target Background

Database Links
Protein Families
FAM155 family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is FAM155B and why is it studied in research?

FAM155B (Family with sequence similarity 155, member B) encodes a product belonging to a family of proteins with largely unknown function. Also known as TMEM28, CXorf63, and TED, this protein is characterized by the presence of two transmembrane domains, suggesting it functions as a multi-pass membrane protein . Recent research has implicated FAM155B in endometrial receptivity, with evidence that it may play a role in embryo implantation processes. Specifically, studies indicate that altered expression of FAM155B may affect endometrial epithelial cell proliferation and the ability of trophoblasts to adhere to the endometrium . These emerging functions make FAM155B an important target for antibody-based detection in reproductive biology and potentially other fields.

What are the key applications of FAM155B antibodies in research?

FAM155B antibodies serve multiple research applications, primarily:

  • Immunohistochemistry (IHC): Used to detect and localize FAM155B in tissue sections, with recommended dilutions typically between 1:50-1:200 .

  • Western Blotting (WB): Employed for protein expression and molecular weight determination, with typical dilutions ranging from 1:100-1:2000 .

  • ELISA: Utilized for quantitative detection in solution, with recommended dilutions of approximately 1:1000 .

  • Cellular localization studies: Helps determine the subcellular distribution of FAM155B, particularly its association with the plasma membrane .

These applications enable researchers to investigate FAM155B expression patterns, protein interactions, and potential roles in cellular processes, particularly in reproductive biology where recent evidence suggests important functional roles .

How do I choose between different FAM155B antibodies for my experiment?

When selecting a FAM155B antibody, researchers should consider:

Selection CriteriaConsiderationsExamples from Available Antibodies
Target epitopeAntibodies targeting different regions may yield different resultsC-terminal region (AA 358-384) vs. SFSSNQGGGGLGLETLPALEEGLTREE sequence
Species reactivityEnsure compatibility with your experimental modelHuman-specific vs. Mouse/Rat reactive
Application validationVerify the antibody has been tested for your applicationIHC (HPA036093) , WB (E-AB-91868, ABIN2601260)
ClonalityPolyclonal (broader epitope recognition) vs. monoclonal (higher specificity)All examples are polyclonal
Detection methodDirect vs. indirect detection requirementsAll examples are unconjugated, requiring secondary antibodies

For reproductive biology studies investigating endometrial receptivity, antibodies validated in human endometrial tissue would be most appropriate. When studying potential post-translational modifications, ensure the antibody does not target regions that may be modified under your experimental conditions .

What experimental controls should I include when using FAM155B antibodies?

A methodologically sound experiment with FAM155B antibodies should include:

  • Positive control: Tissue or cell line known to express FAM155B (based on available data from Human Protein Atlas).

  • Negative control:

    • Primary antibody omission control

    • Tissue or cell line with confirmed absence of FAM155B expression

    • Preincubation of antibody with immunizing peptide (if available)

  • Loading control: For western blots, include housekeeping proteins (β-actin, GAPDH, etc.)

  • Knockdown/knockout validation: When possible, include FAM155B knockdown or knockout samples to confirm specificity.

For Western blotting, note that the observed molecular weight of FAM155B may not always match the expected size due to post-translational modifications or other factors affecting mobility . One antibody reports an observed MW of approximately 53 kDa, which may differ from theoretical predictions .

How can I optimize Western blotting protocols for FAM155B detection?

When optimizing Western blotting for FAM155B detection:

  • Sample preparation:

    • Use appropriate lysis buffers that efficiently extract membrane proteins

    • Consider including protease inhibitors to prevent degradation

    • Heat samples appropriately (typically 95°C for 5 min)

  • Dilution optimization:

    • Start with the manufacturer's recommended range (e.g., 1:500-1:2000)

    • Perform a dilution series to determine optimal signal-to-noise ratio

  • Blocking optimization:

    • Test different blocking agents (BSA vs. non-fat milk)

    • Optimize blocking time (typically 1-2 hours at room temperature)

  • Detection considerations:

    • Note that observed molecular weight may differ from expected (~53 kDa has been reported)

    • Extended exposure times may be necessary for low-abundance proteins

  • Membrane selection:

    • PVDF membranes may provide better results for transmembrane proteins

If bands are not observed at expected molecular weights, consider that FAM155B may undergo post-translational modifications, proteolytic processing, or exhibit tissue-specific variants that affect electrophoretic mobility .

What are the key considerations for optimizing immunohistochemistry with FAM155B antibodies?

For optimal immunohistochemistry results with FAM155B antibodies:

  • Fixation and antigen retrieval:

    • Test multiple antigen retrieval methods (heat-induced vs. enzymatic)

    • Optimize retrieval buffer pH (citrate pH 6.0 vs. EDTA pH 9.0)

    • Consider tissue-specific fixation requirements

  • Antibody incubation:

    • Begin with recommended dilutions (1:50-1:200)

    • Test both overnight incubation at 4°C and shorter incubations at room temperature

    • Optimize washing steps to reduce background

  • Detection systems:

    • Consider signal amplification for low-abundance targets

    • Select appropriate chromogens based on colocalization studies

  • Counterstaining:

    • Adjust hematoxylin intensity to provide context without obscuring specific staining

  • Validation approaches:

    • Compare patterns with published data from the Human Protein Atlas

    • Consider dual labeling with markers of suspected subcellular localization

Given FAM155B's membrane localization, ensure that membrane permeabilization steps are adequate but not excessive, as over-permeabilization can disrupt membrane protein epitopes.

How can I investigate FAM155B's role in endometrial receptivity using available antibodies?

Recent research has implicated FAM155B in endometrial receptivity . To investigate this role:

  • Expression profiling:

    • Use IHC to compare FAM155B expression between receptive and non-receptive endometrium

    • Examine temporal expression changes throughout the menstrual cycle

    • Compare expression in patients with recurrent implantation failure (RIF) versus controls

  • Functional studies:

    • Combine antibody detection with knockdown/overexpression studies

    • Monitor downstream effects on markers like LIF and DKK1, which have been associated with FAM155B function

  • Mechanism investigation:

    • Use co-immunoprecipitation with FAM155B antibodies to identify interaction partners

    • Investigate potential relationships with METTL3 and CircABCC1, which have been implicated in FAM155B regulation

    • Examine m6A modification of FAM155B mRNA using MeRIP-qPCR techniques

  • Adhesion assays:

    • Develop in vitro models to assess trophoblast adhesion to endometrial epithelial cells

    • Correlate adhesion with FAM155B expression levels

The research indicates that CircABCC1 binds to METTL3 to regulate FAM155B mRNA modification, promoting FAM155B expression, which in turn inhibits endometrial epithelial cell proliferation and reduces endometrial receptivity . These pathways provide multiple points for antibody-based investigation.

How can I address discrepancies in FAM155B antibody results between different experimental systems?

When encountering discrepancies in FAM155B antibody results:

  • Antibody epitope considerations:

    • Different antibodies target different regions of FAM155B

    • Compare epitope sequences for potential interference from post-translational modifications

    • Consider isoform-specific recognition patterns

  • Expression level variations:

    • Quantify relative expression levels across systems using qPCR

    • Validate protein expression using multiple antibodies targeting different epitopes

    • Consider threshold detection limits of different techniques

  • Technical validation approach:

    • Cross-validate with orthogonal methods (e.g., mass spectrometry)

    • Perform genetic manipulation (siRNA, CRISPR) to confirm specificity

    • Use recombinant protein controls at known concentrations

  • Species-specific considerations:

    • Note that antibodies have different species reactivity profiles (human vs. mouse/rat)

    • Consider sequence homology when interpreting cross-species results

    • Validate species-specific expression patterns independently

  • Contextual biology:

    • Consider cell-type specific post-translational modifications

    • Examine potential degradation or processing differences between systems

    • Investigate regulatory mechanisms that might differ between experimental contexts

How might FAM155B antibodies be used to investigate its potential roles beyond reproductive biology?

While current research focuses on FAM155B in endometrial receptivity, its membrane localization suggests broader potential functions:

  • Signaling pathway investigation:

    • Use antibodies to identify potential co-localization with known signaling complexes

    • Perform phospho-specific antibody analysis to detect activation states

    • Investigate potential roles in ion channel regulation (given membrane localization)

  • Tissue distribution profiling:

    • Comprehensive IHC mapping across human tissues to identify high-expression sites

    • Correlate expression with tissue-specific functions

    • Examine developmental expression patterns

  • Disease association studies:

    • Compare expression in normal versus pathological tissues

    • Investigate potential correlations with membrane transport disorders

    • Examine relationships to X-chromosome linked conditions (given its CXorf63 designation)

  • Structural biology applications:

    • Use antibodies for protein purification prior to structural studies

    • Investigate transmembrane domain topology using domain-specific antibodies

    • Explore protein-protein interactions through co-immunoprecipitation

The largely unknown function of FAM155B presents opportunities for hypothesis-generating research using available antibodies as primary investigative tools.

What methodological considerations are important when interpreting FAM155B antibody results in multi-omics studies?

When integrating FAM155B antibody data with other -omics approaches:

  • Transcriptome correlation:

    • Compare protein detection with mRNA levels to identify post-transcriptional regulation

    • Consider the impact of m6A modification on mRNA stability and translation efficiency

    • Investigate potential circRNA interactions that might influence FAM155B expression

  • Proteome integration:

    • Validate mass spectrometry-based detection with antibody-based methods

    • Consider detection biases for membrane proteins in different proteomic approaches

    • Look for post-translational modifications that might affect antibody binding

  • Epigenomic considerations:

    • Correlate chromatin accessibility at the FAM155B locus with protein expression

    • Investigate potential regulatory mechanisms suggested by epigenetic marks

    • Examine m6A modifications in the context of epigenetic regulation

  • Single-cell analysis:

    • Compare bulk tissue antibody results with single-cell resolution data

    • Consider heterogeneous expression patterns that might be masked in whole-tissue analysis

    • Validate cell type-specific expression using co-staining approaches

  • Data integration challenges:

    • Address normalization issues when comparing across platforms

    • Develop statistical approaches to handle technical variability

    • Consider temporal dynamics when integrating datasets collected at different timepoints

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