APC Antibody

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Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide as a preservative.
Form
Liquid
Lead Time
Typically, we can ship your orders within 1-3 business days of receiving them. Delivery times may vary depending on the shipping method and destination. Please contact your local distributor for specific delivery times.
Synonyms
Adenomatous Polyposis Coli antibody; Adenomatous polyposis coli protein antibody; Apc antibody; APC_HUMAN antibody; CC1 antibody; Deleted in polyposis 2.5 antibody; DP2 antibody; DP2.5 antibody; DP3 antibody; FAP antibody; FPC antibody; GS antibody; Protein APC antibody
Target Names
APC
Uniprot No.

Target Background

Function
APC (Adenomatous Polyposis Coli) is a tumor suppressor protein that plays a crucial role in regulating cellular processes, including cell growth, proliferation, and migration. It acts as a negative regulator of the Wnt signaling pathway, promoting the rapid degradation of beta-catenin (CTNNB1). APC's activity is closely linked to its phosphorylation state. It also exhibits diverse functions, such as activating the guanine nucleotide exchange factor (GEF) activity of SPATA13 and ARHGEF4, participating in hepatocyte growth factor (HGF)-induced cell migration, mediating MMP9 up-regulation through the JNK signaling pathway in colorectal tumor cells, and facilitating the stabilization of microtubules at the cell cortex via ERBB2-dependent mechanisms. Notably, APC is required for the localization of MACF1 to the cell membrane, which is essential for MACF1's role in microtubule stabilization.
Gene References Into Functions
  1. Elevated expression of miR-494 promotes cell proliferation and tumorigenesis in colorectal cancer (CRC) by suppressing the expression of APC, an inhibitor of beta-catenin signaling. This discovery unveils a novel mechanism underlying the hyperactivation of the Wnt/beta-catenin signaling pathway in CRC. PMID: 29304823
  2. Research has revealed an unexpected role for APC in the directional spread of HIV-1. APC facilitates the directional assembly of viral components at virological synapses, thereby promoting cell-to-cell viral transmission. PMID: 28134256
  3. Due to low sensitivity, APC gene promoter methylation in serum is not suitable for breast cancer (BC) screening. However, its high specificity allows for its use as a tool to confirm BC diagnosis. PMID: 29297603
  4. Multivariate analyses have indicated that PIK3CA mutations and clinical T stage are independent favorable prognostic factors (hazard ratio 0.34, 95% confidence interval: 0.12-0.96, p = 0.042). Notably, PIK3CA mutations are significantly associated with APC alterations (p = 0.0007) and BRAF mutations (p = 0.0090). PMID: 30115035
  5. A novel APC frameshift mutation has been identified in a large Chinese family with familial adenomatous polyposis. PMID: 29901124
  6. Two novel alterations, a complex deletion of APC and a pathogenic mutation of LAMTOR2, were detected in the two wild-type (WT) cases. Focused on WT DT subtype, deep sequencing of CTNNB1, APC, and LAMTOR2 was conducted on a retrospective series of 11 WT DT using a targeted approach. PMID: 29901254
  7. This study demonstrates a prognostic role for APC. PMID: 27302369
  8. A certain correlation exists between the APC gene and ovarian tumors. The APC gene mediates the apoptosis of tumor cells through the MDR-1/CLCX-1 signaling pathway. PMID: 29921377
  9. Mutations in the APC gene have been identified in duodenal adenoma and are implicated in the development of duodenal cancers. PMID: 29525853
  10. Investigations have explored whether the initial source of intratumoral heterogeneity arises from multiple independent lineages derived from different crypts harboring distinct truncal APC and driver KRAS mutations, thus challenging the prevailing monoclonal monocryptal model. PMID: 28645942
  11. Methylation-dependent silencing of the APC gene promoter 1A is a mechanism contributing to the activation of the Wnt signaling pathway in cervical cancer cells infected by high-risk HPV16. PMID: 29115417
  12. miR-3607 contributes to lung cancer cell proliferation by inhibiting APC. PMID: 28866416
  13. USP7 depletion in APC-mutated colorectal cancer inhibits Wnt activation by restoring beta-catenin ubiquitination, driving differentiation, and suppressing xenograft tumor growth. PMID: 29045831
  14. Data suggest that concurrent mutations in the adenomatous polyposis coli protein (APC) and mutL protein homolog 1 (MLH1) genes likely underlie familial adenomatous polyposis (FAP) in the pedigree. PMID: 29419868
  15. The expression of APC-DeltaC in colon cells reduces the accumulation of mitotic cells upon PLK1 inhibition, accelerates mitotic exit, and increases the survival of cells with enhanced chromosomal abnormalities. PMID: 29549256
  16. Our findings suggest that the amount of APC expression is the rate-limiting factor for the constitution of beta-catenin destruction complexes. PMID: 28810742
  17. APC defines Treg differentiation and anti-inflammatory function through microtubule-mediated NFAT localization. PMID: 28978472
  18. Data show that tumor suppressor adenomatous polyposis coli (APC) loss results in up-regulation of IL-6 signal transducer (IL-6ST/gp130), thereby activating YAP (YY1-associated) protein (YAP) which are simultaneously up-regulated in the majority of colorectal cancer (CRC). PMID: 28130546
  19. The results indicate that APC promoter hypermethylation is an early event in CRC carcinogenesis and could be a valuable diagnostic marker for early-stage CRC. APC methylation is not significantly associated with overall survival in patients with CRC. PMID: 28515349
  20. The promoters of WIF1, NLK, and APC are highly methylated in nasopharyngeal cancers (NPC) and gastric carcinoma (GC) cell lines, and these three genes are also regulated by miR-BART19-3p expressed by Epstein-Barr virus (EBV); expression of the WIF1, APC, and NLK genes is strongly affected by hypermethylation, and in EBV-associated tumors, these three genes are also affected by miR-BART19-3p. PMID: 28543390
  21. The proposed model is a variation of the existing model and hypothesizes that, in a subgroup of colorectal carcinomas, K-ras mutation may precede APC inactivation, representing the earliest driving force and, likely, an early biomarker of colorectal carcinogenesis. PMID: 28652417
  22. We conclude that among multiple genomic alterations in CRC, the strongest associations with clinical outcome were observed for common mutations in APC. PMID: 27729614
  23. Studies have revealed that the proportion of APC promoter 1A methylation in non-small cell lung cancer (NSCLC) tissues was higher than in autologous controls, suggesting that promoter 1A methylation of the APC gene may play a significant role in NSCLC carcinogenesis. [meta-analysis] PMID: 28497891
  24. E-cadherin inhibits beta-catenin in the context of disruption of the APC-destruction complex, and this function is also EC1 domain dependent. Both binding functions of E-cadherin may be required for its tumor suppressor activity. PMID: 27566565
  25. Analysis of the largest deletion of the APC gene in the Chinese population associated with familial adenomatous polyposis in a five-generation family. PMID: 27391059
  26. APC promoter methylation was associated with breast cancer risk and could be a valuable biomarker for diagnosis, treatment, and prognosis of breast cancer (Meta-Analysis). PMID: 27191268
  27. A novel APC promoter 1B deletion is associated with familial adenomatous polyposis in generations of a large Italian family. PMID: 28791770
  28. This study is the first to demonstrate that EphB6 overexpression together with Apc gene mutations may enhance proliferation, invasion, and metastasis by colorectal epithelial cells. PMID: 27145271
  29. Promoter methylation was detected in 30.67% breast cancer tissues and was associated with low histological grade. PMID: 28164568
  30. Utilizing zebrafish to examine the genetic relationship between MPC1 and Adenomatous polyposis coli (APC), a key tumor suppressor in colorectal cancer, the authors found that apc controls the levels of mpc1 and that knock down of mpc1 recapitulates phenotypes of impaired apc function, including failed intestinal differentiation. PMID: 28397687
  31. Multiple pilomatrixomas in a survivor of WNT-activated medulloblastoma leading to the discovery of a germline APC mutation and the diagnosis of familial adenomatous polyposis. PMID: 28792655
  32. FZR1 inhibits BRAF oncogenic functions via both APC-dependent proteolysis and APC-independent disruption of BRAF dimers, whereas hyperactivated ERK and CDK4 reciprocally suppress APC(FZR1) E3 ligase activity. PMID: 28174173
  33. We present a clinical molecular study of a four-generation Chinese family with a novel splice-acceptor site mutation causing Familial adenomatous polyposis. PMID: 28423518
  34. Establishes a role for APC in coordinating microtubules and the actin cytoskeleton at focal adhesions to direct cell migration. PMID: 28663347
  35. Germline mutation in the APC gene is associated with familial adenomatous polyposis. PMID: 28010732
  36. Beta-catenin reactivity was noted in all familial adenomatous polyposis-associated Gardner fibromas and in 1/4 APC wild-type cases. PMID: 26840078
  37. The rs75612255 C allele and rs113017087 C allele in promoter 1A of APC as well as the rs138386816 T allele and rs115658307 T allele in promoter 1B of APC significantly increased luciferase activity in the human erythromyeloblastoid leukemia cell line K562. PMID: 28105931
  38. Functional redundancy between Apc and Apc2 regulates tissue homeostasis and prevents tumorigenesis in murine mammary epithelium. PMID: 27694902
  39. Finally, we observed that expression of miR-19a significantly correlates with beta-catenin levels in colorectal cancer specimens, and it is associated with the aggressive stage of tumor progression. Thus, our study reveals that the miR-17-92 cluster is directly regulated by the APC/b-catenin pathway and could be a potential therapeutic target in colon cancers with aberrant APC/b-catenin signaling. PMID: 26804172
  40. Findings show that colorectal Cancer patients-derived cells with short APC mutants were either sensitive or responsive to tankyrase inhibitors, corroborating the idea that APC with complete deletion of seven 20-AA repeats could be a predictive biomarker for the sensitivity to tankyrase inhibitors. PMID: 28179481
  41. Our study showed that mutations in the APC gene alter the protein expression and cell cycle regulation in diffuse type gastric adenocarcinoma. PMID: 28576136
  42. Gasdermin C is upregulated by inactivation of Tgfbr2 in the presence of mutated Apc, promoting colorectal cancer cell proliferation. PMID: 27835699
  43. Nine patients with 21- approximately 100 colorectal adenomas (50%) and the two positive controls, showed somatic mosaicism, with identical APC variants in adenomas tested. PMID: 27816598
  44. These results suggested that miR-590-3p can promote osteogenic differentiation via suppressing APC expression and stabilizing beta-catenin. PMID: 27586273
  45. The present findings indicate epigenetic silencing of APC in advanced gallbladder cancer (GBC). The methylation pattern, followed by expression analysis of APC, may be suggested for diagnostic, prognostic, and therapeutic purposes in GBC in the future. PMID: 27748282
  46. miR-106a-5p is involved in the invasive behavior of glioblastoma cells by targeting APC and activating the Wnt/beta-catenin pathway. PMID: 27815074
  47. Point Mutations in Exon 1B of APC Reveal Similar mutations in APC promoter 1B occur in rare families with familial adenomatous polyposis. PMID: 27087319
  48. Studies suggest that both loss of tumor suppressive function and gain of function of APC mutants play critical roles in colorectal cancers (CRC) tumorigenesis. PMID: 28423402
  49. Loss of heterozygosity of TP53, P16, SMAD4, and APC genes was observed in esophageal adenocarcinoma. PMID: 28376920
  50. miR-582-5P was upregulated in the colorectal cancer specimens and cell lines and targeted the 3' untranslated region of APC directly. PMID: 27595705

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Database Links

HGNC: 583

OMIM: 114550

KEGG: hsa:324

STRING: 9606.ENSP00000257430

UniGene: Hs.158932

Involvement In Disease
Familial adenomatous polyposis (FAP); Hereditary desmoid disease (HDD); Medulloblastoma (MDB); Gastric cancer (GASC); Hepatocellular carcinoma (HCC)
Protein Families
Adenomatous polyposis coli (APC) family
Subcellular Location
Cell junction, adherens junction. Cytoplasm, cytoskeleton. Cell projection, lamellipodium. Cell projection, ruffle membrane. Cytoplasm. Cell membrane.
Tissue Specificity
Expressed in a variety of tissues: brain, small intestine, colon, thymus, skeletal muscle, heart, prostate, lung, spleen, ovary, testis kidney, placenta, blood and liver. Isoform 1A: Very strongly expressed in brain but has relatively low expression level

Q&A

What is an APC-conjugated antibody and how does it work in flow cytometry?

APC-conjugated antibodies consist of allophycocyanin fluorophores chemically linked to antibodies that target specific proteins. In flow cytometry, when the antibody binds to its target antigen on a cell, the APC fluorophore is excited by a red laser (typically 633-647nm) and emits fluorescence at approximately 660nm. This signal is detected by the cytometer's photomultiplier tubes, allowing for identification and quantification of cells expressing the target protein. The bright fluorescence and minimal spectral overlap with other common fluorophores make APC-conjugated antibodies valuable for multicolor flow cytometry panels .

What factors should be considered when incorporating an APC antibody into a multicolor flow cytometry panel?

When designing a flow cytometry panel that includes an APC-conjugated antibody, researchers should consider:

  • Spectral overlap: Although APC has relatively clean emission, potential spillover into other channels should be addressed through proper compensation controls

  • Target abundance: APC is a bright fluorophore suitable for detecting low-abundance antigens

  • Panel balance: Pair high-expression markers with dim fluorophores and low-expression markers with bright fluorophores like APC

  • Tandem dye stability: If using APC-tandem dyes (e.g., APC-Cy7), be aware of potential tandem breakdown causing false APC signal

  • Antibody titration: Optimal concentration should be determined for each application to maximize signal-to-noise ratio

How should APC-conjugated antibodies be stored to maintain optimal performance?

APC-conjugated antibodies require specific storage conditions to maintain fluorophore integrity and antibody functionality:

  • Temperature: Store at 2-8°C (refrigerated), never freeze as this can damage the protein structure

  • Light protection: APC is light-sensitive, so antibodies should be stored in amber vials or wrapped in aluminum foil to protect from light exposure

  • Stock concentration: Maintain antibodies at vendor-recommended concentrations unless specific dilution is required

  • Stability period: Most APC-conjugated antibodies remain stable for 12 months from date of receipt when properly stored at 2-8°C

  • Avoid repeated freeze-thaw cycles: These can degrade both the antibody and the fluorophore

What are the essential validation steps for APC antibodies before using them in critical experiments?

Comprehensive validation of APC-conjugated antibodies should include:

  • Specificity testing: Use knockout/knockdown cells or genetic models lacking the target protein as negative controls

  • Positive control testing: Confirm signal in cells known to express the target antigen at detectable levels

  • Isotype control comparison: Use matched isotype control antibodies to assess non-specific binding

  • Titration experiments: Determine optimal antibody concentration by testing serial dilutions

  • Multi-platform validation: When possible, confirm target specificity using orthogonal methods such as Western blotting, immunoprecipitation, or mass spectrometry

  • Lot-to-lot verification: Test new lots against previously validated lots, as significant variation can occur

How can researchers address the "antibody characterization crisis" when using APC antibodies?

The antibody characterization crisis refers to widespread reproducibility issues stemming from poorly characterized antibodies. Researchers can implement these practices to address this issue:

  • Use Research Resource Identifiers (RRIDs): Include complete RRID numbers in publications to ensure reagent traceability

  • Document detailed protocols: Record exact antibody concentrations (not just dilutions), incubation times, buffers, and washing steps

  • Validate across applications: Do not assume an antibody validated for one application will work in another

  • Consult independent validation resources: Utilize data from initiatives like YCharOS and Only Good Antibodies (OGA)

  • Include comprehensive controls: Document all positive and negative controls used to validate specificity

  • Maintain detailed records: Track lot numbers, dates of purchase, and experimental validation data

What controls are essential when using APC antibodies in flow cytometry experiments?

Robust flow cytometry experiments with APC antibodies require these controls:

  • Unstained controls: Cells processed identically but without any antibody to establish autofluorescence

  • Single-color controls: Samples stained with only one fluorophore-conjugated antibody for compensation setup

  • Fluorescence-minus-one (FMO) controls: Include all fluorophores except APC to determine gating boundaries

  • Isotype controls: Irrelevant antibodies of the same isotype and fluorophore to assess non-specific binding

  • Biological controls: Known positive and negative samples (e.g., cell lines with/without target expression)

  • Viability dye: To exclude dead cells that can bind antibodies non-specifically

  • Blocking controls: Samples pre-incubated with unconjugated antibody before adding APC-conjugated version to confirm specific binding

How can APC antibodies be effectively used in multiparameter flow cytometry for rare cell population analysis?

For identifying and analyzing rare cell populations (<0.1% of total):

  • Sample enrichment: Consider magnetic pre-enrichment of target populations before APC antibody staining

  • High event acquisition: Collect sufficient events (typically >1 million) to capture statistically meaningful numbers of rare cells

  • Hierarchical gating strategy: Implement precise sequential gating to eliminate non-target populations

  • Index sorting: When combined with single-cell RNA-seq, use APC antibodies for index sorting to correlate protein expression with transcriptomic profiles

  • Signal amplification: For very low abundance targets, consider using primary antibody followed by APC-conjugated secondary antibody for signal enhancement

  • Dump channels: Use lineage markers conjugated to the same fluorophore to exclude irrelevant cell populations

  • Coefficient of variation: Monitor and report CV values for APC signal as a quality control metric

What methodological considerations are important when using APC antibodies in clinical research applications?

Clinical research using APC antibodies requires additional rigor:

  • Standardization protocols: Implement consistent sample preparation, antibody concentration, and instrument settings across multiple timepoints and operators

  • Reference materials: Use stabilized control cells or calibration beads to normalize fluorescence intensity

  • Clinical validation: Validate antibody performance specifically in relevant clinical samples (e.g., patient biopsies, blood samples)

  • Batch effects monitoring: Include control samples across multiple experimental runs to detect and correct for batch variation

  • Regulatory compliance: Document all validation steps according to applicable clinical laboratory requirements

  • Inter-laboratory standardization: If multi-center studies are involved, implement cross-laboratory standardization procedures

  • Sample stability assessment: Validate antibody performance on fresh versus stored/shipped samples

How can researchers troubleshoot unexpected APC signal loss or variability in flow cytometry experiments?

When encountering signal problems with APC antibodies:

  • Fluorophore degradation assessment: Check for exposure to excessive light or improper storage conditions

  • Buffer compatibility: Some buffers containing high concentrations of certain detergents may affect APC fluorescence

  • Fixation effects: Certain fixatives can reduce APC signal intensity; optimize fixation protocols if needed

  • Quenching phenomena: Cell types with high autofluorescence or endogenous peroxidase activity may quench APC signal

  • Instrument alignment: Verify cytometer laser alignment and detector sensitivity with standardized beads

  • Internalization kinetics: Some antigens rapidly internalize upon antibody binding, potentially reducing surface signal

  • Epitope masking: Check if sample processing steps might mask the epitope recognized by the antibody

What are the best practices for optimizing APC antibody staining protocols for different cell types?

Optimizing APC antibody protocols across diverse cell types requires:

  • Cell-specific titration: Optimal antibody concentration may differ between cell types due to varying target expression levels

  • Blocking strategy adjustment: Primary cells may require different blocking approaches than cell lines to reduce non-specific binding

  • Incubation temperature optimization: Some epitopes show better binding at room temperature, while others at 4°C

  • Permeabilization protocol customization: For intracellular targets, permeabilization conditions may need adjustment based on cell type

  • Dissociation method consideration: Enzymatic dissociation of adherent cells may cleave certain epitopes

  • Viability dye selection: Different cell types may require specific viability dyes that don't interfere with APC channel

  • Fc receptor blocking: Primary immune cells often require specific Fc receptor blocking to prevent non-specific antibody binding

How should researchers approach antibody titration experiments for APC-conjugated antibodies?

A systematic approach to APC antibody titration includes:

  • Serial dilution preparation: Create 5-7 dilutions (typically 2-fold) spanning recommended concentration range

  • Signal-to-noise calculation: Plot staining index (median positive - median negative/2 × SD of negative) versus antibody concentration

  • Optimal concentration identification: Select concentration at peak staining index or slightly higher

  • Separation assessment: Evaluate separation between positive and negative populations at each concentration

  • Background evaluation: Monitor non-specific binding at each concentration

  • Cost-benefit analysis: Balance optimal performance with reagent costs for high-throughput applications

  • Documentation: Record titration results, including lot numbers and experimental conditions, for future reference

What considerations are important when using APC antibodies for detecting low-abundance antigens?

For low-abundance target detection:

  • Signal amplification strategies: Consider indirect staining using biotinylated primary antibody followed by APC-streptavidin

  • High-sensitivity cytometer settings: Optimize PMT voltage to maximize resolution in the APC channel

  • Noise reduction approaches: Implement rigorous washing protocols to minimize background fluorescence

  • Sample enrichment: Use magnetic separation or other enrichment methods prior to staining

  • Alternative fixation methods: Test mild fixation protocols that may better preserve low-abundance epitopes

  • Multiple epitope targeting: Use cocktails of APC antibodies targeting different epitopes of the same protein

  • Kinetic analysis: Extend incubation times to allow more complete binding for rare targets

How can researchers identify and address antibody cross-reactivity issues when using APC-conjugated antibodies?

To manage potential cross-reactivity:

  • Experimental verification: Test antibody on cell populations known to lack the target protein

  • Epitope mapping: Review antibody epitope information to predict potential cross-reactive proteins

  • Competitive blocking: Use unconjugated antibody or recombinant antigens to confirm binding specificity

  • Literature cross-checking: Review published data for reported cross-reactivity with similar antigens

  • Multi-parameter confirmation: Use additional markers to confirm cell population identity

  • Western blot validation: When possible, confirm presence of single band at expected molecular weight

  • Genetic manipulation: Use CRISPR-modified cells lacking the target as negative controls

What factors can affect APC fluorescence stability and how can researchers minimize signal degradation?

To maintain APC signal integrity:

  • Light exposure limitation: Minimize exposure during sample preparation and store in dark conditions

  • Temperature control: Process samples at consistent temperatures, typically 4°C for most applications

  • Buffer composition optimization: Avoid high concentrations of detergents or extreme pH conditions

  • Fixative selection: Choose fixatives that preserve APC fluorescence (e.g., 1-2% paraformaldehyde)

  • Timely analysis: Schedule flow cytometry analysis as soon as possible after staining

  • Anti-photobleaching agents: Consider adding anti-fade reagents for imaging applications

  • Storage container materials: Use amber tubes or aluminum foil wrapping for short-term storage

How can researchers distinguish between true positive signals and autofluorescence when using APC antibodies?

To accurately differentiate specific signal from autofluorescence:

  • Spectral overlap analysis: Understand the autofluorescence profile of your cells in all channels

  • Parallel channel monitoring: Check for proportional increases in adjacent channels that may indicate autofluorescence

  • Unstained and FMO controls: Use these to establish baseline fluorescence levels

  • Algorithmic approaches: Implement autofluorescence subtraction algorithms in analysis software

  • Alternative fluorophore comparison: Test parallel samples with antibodies conjugated to spectrally distinct fluorophores

  • Cell treatment effects: Be aware that certain treatments may alter cellular autofluorescence

  • Fluorescence microscopy verification: When possible, visually confirm antibody localization patterns

What are best practices for reporting APC antibody usage in scientific publications to enhance reproducibility?

To ensure research reproducibility:

  • Complete reagent identification: Include manufacturer, clone number, catalog number, lot number, and RRID

  • Protocol specification: Detail exact staining concentration (μg/ml), buffer composition, incubation time and temperature

  • Validation documentation: Describe all controls used to confirm specificity and performance

  • Instrument settings documentation: Report cytometer configuration, laser power, and PMT voltage settings

  • Analysis pipeline transparency: Provide detailed description of gating strategy with representative plots

  • Standardization approach: Describe any calibration or normalization methods applied

  • Data sharing: Consider depositing raw data files in public repositories

How should researchers approach compensation when using APC in multicolor flow cytometry panels?

For proper compensation with APC-containing panels:

  • Single-color controls preparation: Use the same cells and antibody concentration as experimental samples

  • Brightness matching: Ensure compensation controls have signal intensity similar to experimental samples

  • Tandem dye considerations: If panel includes APC-tandem dyes, prepare fresh compensation controls for each experiment

  • Manual vs. automated compensation: Verify automated compensation algorithms with manual adjustment if needed

  • Spillover spreading matrix analysis: Evaluate the impact of compensation on population spread

  • Over-compensation monitoring: Check for characteristic population inversions indicating over-compensation

  • Universal negative population requirement: Ensure all compensation controls contain a clear negative population

What emerging technologies are enhancing the utility of APC antibodies in advanced research applications?

Cutting-edge approaches incorporating APC antibodies include:

  • Mass cytometry adaptation: Conjugation of antibodies to metal isotopes for CyTOF applications with minimal spectral overlap

  • Spectral cytometry integration: Utilization of full emission spectra to resolve more parameters

  • Imaging flow cytometry applications: Combining spatial information with quantitative analysis

  • Single-cell multi-omics: Pairing APC antibody staining with transcriptomic or proteomic analysis

  • Multiplexed imaging techniques: Implementation in CODEX or other highly multiplexed imaging platforms

  • Microfluidic applications: Incorporation into droplet-based single-cell analysis systems

  • Machine learning analysis: Application of advanced algorithms to extract complex patterns from APC antibody data

How can researchers stay updated on best practices for APC antibody usage and characterization?

To remain current with evolving standards:

  • Scientific society engagement: Participate in organizations like The Antibody Society and International Society for Advancement of Cytometry

  • Database utilization: Regularly consult antibody validation databases like YCharOS, CiteAb, and the Antibody Registry

  • Literature monitoring: Follow journals dedicated to antibody technology and cytometry methods

  • Workshop participation: Attend specialized workshops on antibody validation and flow cytometry

  • Cross-discipline collaboration: Engage with experts in your protein/target of interest

  • Open science contribution: Share validation data through repositories and collaborative platforms

  • Vendor communication: Maintain dialogue with antibody manufacturers regarding updates and optimizations

What are the most common pitfalls in APC antibody research and how can they be avoided?

Key challenges and their solutions:

PitfallPrevention Strategy
Inadequate validationImplement multi-parameter validation using knockout controls
Poor experimental designInclude all necessary controls (isotype, FMO, biological)
Lot-to-lot variationTest new lots against reference samples
Improper storageAdhere strictly to manufacturer's storage recommendations
Insufficient documentationMaintain detailed records of all experimental parameters
Cross-reactivity misinterpretationVerify specificity with multiple approaches
Over-dilutionPerform thorough titration experiments
Incorrect compensationUse appropriate single-color controls for each experiment
Publication without verificationRepeat critical experiments with different antibody clones
Incomplete reportingFollow comprehensive reporting guidelines in publications

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