SLC11A2 Antibody, Biotin conjugated

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Description

Introduction to SLC11A2 and Its Functional Role

SLC11A2 facilitates the transport of iron (Fe²⁺), manganese (Mn²⁺), cobalt (Co²⁺), cadmium (Cd²⁺), and other divalent metals across cellular membranes . Key roles include:

  • Iron homeostasis: Mediates apical iron uptake in duodenal enterocytes and iron release from endosomes in erythroid precursors .

  • Pathological implications: Mutations in SLC11A2 are linked to hypochromic microcytic anemia and systemic iron overload .

  • Cellular localization: Expressed in the intestine, liver, kidney, and erythroid cells .

Immunoassays

  • ELISA: Used for quantitative detection of SLC11A2 with a sensitivity limit of ~0.03 ng/ml .

  • Western Blot: Identifies SLC11A2 as a diffuse band between 45–100 kDa, reflecting glycosylation variants .

  • Immunohistochemistry: Localizes SLC11A2 in intestinal epithelial cells and hepatocytes .

Functional Studies

  • Iron transport mechanisms: Demonstrated in Slc11a2 knockout mice, which exhibit severe iron-deficiency anemia and defective erythropoiesis .

  • Disease models: Used to study iron overload disorders and genetic hemochromatosis .

Role in Intestinal Iron Absorption

  • Slc11a2⁻/⁻ mice show defective intestinal iron uptake postnatally, leading to lethal anemia .

  • Alternative iron transport pathways exist in placental and hepatic cells, independent of SLC11A2 .

Erythropoiesis and Iron Recycling

  • Erythroid precursors require SLC11A2 for iron acquisition from transferrin-cycle endosomes .

  • Impaired SLC11A2 function causes microcytic anemia with splenomegaly and extramedullary erythropoiesis .

Interaction with Genetic Modifiers

  • Hfe mutations (associated with hemochromatosis) exacerbate iron misdistribution in Slc11a2 mutants .

Cross-Reactivity

  • The antibody exhibits cross-reactivity with chicken, rat, and mouse SLC11A2 homologs .

  • No reactivity observed with GST tag alone in control assays .

Limitations

  • Requires optimization for tissue-specific applications (e.g., brain or kidney) .

  • Contains ProClin 300 preservative, necessitating careful handling .

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 order within 1-3 business days of receipt. Delivery timelines may vary depending on the order fulfillment method and destination. Please consult your local distributors for specific delivery time estimates.
Synonyms
DCT 1 antibody; dct-1 antibody; DCT1 antibody; Divalent cation transporter 1 antibody; Divalent metal transporter 1 antibody; DMT 1 antibody; DMT-1 antibody; DMT1 antibody; FLJ37416 antibody; Natural resistance associated macrophage protein 2 antibody; Natural resistance-associated macrophage protein 2 antibody; NRAM2_HUMAN antibody; NRAMP 2 antibody; NRAMP2 antibody; OK/SW-cl.20 antibody; Slc11a2 antibody; Solute carrier family 11 (proton coupled divalent metal ion transporters) member 2 antibody; Solute carrier family 11 member 2 antibody
Target Names
SLC11A2
Uniprot No.

Target Background

Function
SLC11A2, also known as DMT1, plays a crucial role in the transport of various divalent metal ions, particularly iron. It facilitates the uptake of iron from the intestinal lumen into duodenal enterocytes, and from acidified endosomes into the cytoplasm of erythroid precursor cells. DMT1 is involved in the distribution of iron within the body, including its accumulation in the liver and its transport into mitochondria. It has also been implicated in the transport of other metals such as manganese, cobalt, cadmium, nickel, vanadium, and lead.
Gene References Into Functions
  1. Elevated DMT1 levels have been observed in patients with myelodysplastic syndrome. PMID: 28714470
  2. Increased SLC11A2 expression in the intestines of patients with type 2 diabetes has been linked to iron stores and serum hepcidin levels. PMID: 29082606
  3. Research suggests a dysregulation of DMT1 and IRE in the testes of individuals with inflammatory azoospermia, potentially due to upregulation of IRP1 and HIF-1A. PMID: 28762519
  4. Celiac disease may contribute to the risk of anemia by unmasking the effects of the DMT1 IVS4+44C>A polymorphism. PMID: 29023457
  5. Studies indicate that increased DMT1 expression may induce iron overload, leading to osteoblast autophagy and apoptosis, which could contribute to the development of osteoporosis. Understanding the mechanisms underlying DMT1 effects could lead to new targets for osteoporosis prevention and treatment. PMID: 28367088
  6. DMT1, the cellular iron importer, is highly expressed in colorectal cancer cells due to hypoxia-inducible factor 2alpha-dependent transcription. PMID: 27546461
  7. Overexpression of DMT1 in the endometrium of endometriosis patients can increase iron influx, promoting oxidative stress-mediated proinflammatory signaling. This creates a vicious cycle where iron overload and inflammation enhance DMT1 expression, further exacerbating endometriosis-related conditions. PMID: 27117373
  8. X-ray crystallography has revealed a four-component complex involving the VPS26 and VPS35 subunits of retromer, sorting nexin SNX3, and a recycling signal from DMT1-II. This analysis identifies a binding site for canonical recycling signals and highlights cooperative interactions that link signal recognition to membrane recruitment. PMID: 27889239
  9. While silencing CTR1 or DMT1 alone did not affect copper accumulation in cells, deficiency in both transporters completely inhibited copper uptake. PMID: 26067577
  10. Iron uptake appears to induce the production of reactive oxygen species (ROS), which modify the endocytic cycling of DMT1, thereby altering iron transport activity at the apical membrane. PMID: 26289753
  11. DMT1 deficiency is believed to negatively impact metabolism and lifespan of mature erythrocytes, contributing to the pathology of iron-refractory iron deficiency anemia. PMID: 25562168
  12. The TT genotype and T allele of the 1254T>C polymorphism in DMT1 may be associated with an increased risk of Parkinson's disease. PMID: 25817364
  13. DMT1 is likely involved in the entry of Hg(II) into the intestinal epithelium. PMID: 25772431
  14. Six months after Roux-en-Y gastric bypass (RYGB) surgery, patients exhibit an increase in DMT1 expression in the enterocytes at the tips of the villi in the proximal jejunum. PMID: 24914374
  15. In Parkinson's disease, elevated iron levels are associated with increased Ndfip1 expression, which regulates DMT1. Abnormal Ndfip1 activation has been observed in non-neuronal cells like astrocytes. PMID: 24475238
  16. The DMT1 IVS4 C(+) allele is more frequent in individuals with WND (Wilson's neurodegenerative disease) compared to healthy controls. PMID: 24120082
  17. DMT1 not only exports iron from endosomes but also imports it into mitochondria. PMID: 24448823
  18. The manganese (Mn) transport carriers DMT1 and FPN1 mediate the apical uptake and basolateral exit of Mn in colonic epithelial Caco-2 cells. PMID: 23996061
  19. DMT1 is likely involved in endosomal iron transport in placental STB (syncytiotrophoblast) cells, and its expression is primarily regulated by the IRE/IRP mechanism. PMID: 21947861
  20. The first SLC11A2 isoform 1a mutation has been identified and characterized, causing a defect in the splicing process and a hypomorphic allele expression of the SLC11A2 gene. PMID: 23016933
  21. DMT1 in enterocytes is delocalized from the plasma membrane upon iron or zinc depletion, while its apical abundance increases with zinc supplementation. PMID: 22137264
  22. Sequencing of exons and exon-intron boundaries of SLC11A2 and TMPRSS6 in a family with iron-refractory iron deficiency anemia did not reveal causative rare mutations, suggesting a potential gene-gene interaction between these two genes. PMID: 22509377
  23. The substrate profile and metal-ion selectivity of human DMT1 have been characterized. PMID: 22736759
  24. DMT1 expression and intracellular iron influx are early downstream responses to NF-kappaB/RelA activation and acetylation during brain ischemia, potentially contributing to the pathogenesis of stroke-induced neuronal damage. PMID: 22666436
  25. DMT1 regulation can occur in an isoform-specific manner through ubiquitination, with implications for DMT1 function and disease processes. PMID: 22310887
  26. The VS4+44C>A polymorphism of the DMT1 gene may interact with factors like place of living and gender to influence the risk of age-related macular degeneration (AMD). PMID: 22371024
  27. Cells with silenced DMT1 or hCTR1 exhibited reduced apical Fe uptake, Cu uptake, and Zn content compared to control cells. PMID: 22068728
  28. Studies have focused on the synthesis and biological evaluation of substituted pyrazoles as potential blockers of DMT1. PMID: 22154351
  29. PAP7 interacts with DMT1 and regulates its expression in K562 cells by modulating DMT1 protein levels. PMID: 22383495
  30. The CC haplotype in the DMT1 gene may be a risk factor for Parkinson's disease in the Han Chinese population. PMID: 21777657
  31. Research confirms the major role of SLC11A2 in maintaining iron homeostasis in humans and demonstrates that mutations in this gene can contribute to the development of anemia and hepatic iron overload. PMID: 21871825
  32. Homology suggests that inverted structural symmetry facilitates Slc11 H(+)-driven Me(2+) import and provides a 3D framework for studying structure-activity relationships in macrophages and exploring the functional evolution of MntH/Nramp (Slc11) carriers. PMID: 21948377
  33. A peptide has been identified that binds to Mn2+ and Co2+ ions through negatively charged residues in a specific motif and the C-terminal part of DMT1-TMD1. PMID: 21074515
  34. Findings suggest a role for iron metabolism in amyotrophic lateral sclerosis (ALS) and indicate that SLC11A2 gene genotype may influence disease duration. PMID: 21276595
  35. Hepcidin, a hormone that regulates iron absorption, reduces intestinal iron absorption by promoting ubiquitin-dependent proteasome degradation of DMT1. PMID: 21199652
  36. DMT1 is a hypoxia-inducible gene. PMID: 20945371
  37. MicroRNA Let-7d appears to play a role in regulating iron metabolism by targeting the DMT1-IRE isoform in erythroid cells. PMID: 20410187
  38. Research has demonstrated that the retromer recognizes the recycling signal of DMT1-II and ensures its proper endosomal recycling. PMID: 20164305
  39. Calcium (Ca2+) acts as a low-affinity noncompetitive inhibitor, but not a transported substrate, of DMT1. This may partially explain the impact of high dietary calcium on iron bioavailability. PMID: 20152801
  40. A novel mechanism of regulation of intestinal iron absorption has been proposed based on inward and outward fluxes at both membrane domains and the repositioning of DMT1 and FPN between membrane and intracellular compartments depending on iron supply. PMID: 20007457
  41. DMT1 appears to play a crucial role in ion-mediated neuropathogenesis in Alzheimer's disease (AD), suggesting that pharmacological blockage of DMT1 could offer novel therapeutic strategies against AD. PMID: 19679638
  42. DMT1 has been observed on or near the cell surface, suggesting its potential involvement in surface membrane iron transport. PMID: 11891802
  43. Iron regulation of DMT1 involves the expression of a previously unrecognized upstream 5' exon (exon 1A) in both human and murine DMT1 genes. PMID: 11897618
  44. Airway epithelial cells increase mRNA and expression of Nramp2/DMT1/DCT1 without an IRE (iron responsive element) after exposure to iron. This leads to elevated iron transport and its probable detoxification by these cells. PMID: 11943663
  45. DMT1 is a transporter for lead. PMID: 12127992
  46. Using the Xenopus oocyte expression system, human Nramp2, an intestinal iron transporter, has been shown to function as a cadmium transporter. PMID: 12662899
  47. DMT1 has been shown to be a physiologically relevant Cu(1+) transporter in intestinal cells, highlighting the interconnected nature of intestinal copper and iron absorption. PMID: 12734107
  48. In iron deficiency, DMT1 and mobilferrin concentrate in the apical surface of duodenal villi. This increase is due to enhanced binding to mucin in vesicles near the surface, and is also localized in goblet cells and outside the cell in luminal mucin. PMID: 12949888
  49. DMT1 is thought to be critical for regulating metal ion homeostasis in organs involved in the absorption and excretion of ions. PMID: 12973678

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Database Links

HGNC: 10908

OMIM: 206100

KEGG: hsa:4891

STRING: 9606.ENSP00000378364

UniGene: Hs.505545

Involvement In Disease
Anemia, hypochromic microcytic, with iron overload 1 (AHMIO1)
Protein Families
NRAMP family
Subcellular Location
[Isoform 2]: Cell membrane; Multi-pass membrane protein. Early endosome.; Endosome membrane; Multi-pass membrane protein. Mitochondrion outer membrane; Multi-pass membrane protein. Cell membrane; Multi-pass membrane protein.
Tissue Specificity
Ubiquitously expressed. Isoform 1 is highly expressed in brain. Isoform 2 is highly expressed in spleen, thymus and pancreas. Isoform 3 and isoform 4 are abundantly expressed in duodenum and kidney.

Q&A

What is SLC11A2 and why is it an important target for biotin-conjugated antibodies?

SLC11A2 (Solute Carrier Family 11 Member 2), also known as DMT1 (Divalent Metal Transporter 1) or NRAMP2, is a critical transmembrane iron transporter involved in cellular iron uptake. This protein plays essential roles in:

Research has demonstrated that SLC11A2 is required for intestinal iron absorption and erythropoiesis, as evidenced by studies showing that SLC11A2 knockout mice develop severe iron-deficiency anemia . Biotin-conjugated antibodies targeting this protein are particularly valuable in research settings because they allow for signal amplification through avidin/streptavidin systems, enabling enhanced sensitivity in detection methods compared to conventional antibodies, especially in tissues where SLC11A2 expression may be relatively low.

What epitope targets are available for biotin-conjugated SLC11A2 antibodies and why does this matter?

Commercially available biotin-conjugated SLC11A2 antibodies target different epitopes of the protein, which significantly impacts their research applications:

Antibody IDTarget EpitopeSpecies ReactivityApplications
ABIN7161094AA 1-69HumanELISA
ABIN701067AA 251-350Human, Mouse, Rat, ChickenELISA, WB, IHC (paraffin), IHC (frozen)

The epitope selection is critical because:

  • N-terminal epitopes (AA 1-69) may detect specific isoforms or cleaved versions of SLC11A2

  • Mid-region epitopes (AA 251-350) often detect a broader range of SLC11A2 variants

  • Different epitopes may be more or less accessible depending on protein conformation and experimental conditions

  • Epitope selection affects cross-reactivity with SLC11A2 homologs across species

Researchers should select antibodies targeting epitopes appropriate for their specific experimental design, considering factors such as protein folding, post-translational modifications, and species-specific sequence conservation in the target region.

What validated applications exist for biotin-conjugated SLC11A2 antibodies?

Based on product validation data, biotin-conjugated SLC11A2 antibodies have been validated for several applications:

ApplicationAntibody IDValidation StatusRecommended Dilution
ELISAABIN7161094, ABIN701067ValidatedVaries by product
Western Blotting (WB)ABIN701067Validated1:1000-1:2000
IHC (paraffin sections)ABIN701067Validated1:50-1:200
IHC (frozen sections)ABIN701067Validated1:50-1:500

While these are the specifically validated applications for biotin-conjugated antibodies, other SLC11A2 antibodies have demonstrated utility in additional applications such as:

  • Immunofluorescence (IF) on both tissue sections and cultured cells

  • Flow cytometry

  • Immunoprecipitation studies

When adapting biotin-conjugated SLC11A2 antibodies to applications beyond their validated uses, researchers should include appropriate controls and perform preliminary optimization experiments to ensure specificity and sensitivity.

What dilution ranges are optimal for biotin-conjugated SLC11A2 antibodies in different applications?

Optimal dilution ranges for biotin-conjugated SLC11A2 antibodies vary by application and specific antibody:

ApplicationRecommended Dilution RangeNotes
Western Blotting1:1000-1:2000Start with mid-range dilution (1:1500) and adjust as needed
IHC (paraffin)1:50-1:200Lower dilutions may be required for less abundant expression
IHC (frozen)1:50-1:500Typically requires less concentrated antibody than paraffin sections
ELISAVaries by productFollow manufacturer recommendations

Important methodological considerations:

  • Always perform a dilution series during initial optimization to determine the optimal concentration for your specific sample type

  • Higher antibody concentrations may be required for tissues with low SLC11A2 expression

  • When using biotin detection systems, remember that endogenous biotin in some tissues (especially liver, kidney, and brain) may contribute to background

  • Sample-dependent optimization is critical; the actual working concentration should be determined by the researcher

How can I validate the specificity of biotin-conjugated SLC11A2 antibodies in my experimental system?

Rigorous validation of antibody specificity is crucial for reliable results. The following approaches are recommended:

  • Knockout/Knockdown Controls:

    • Use tissue or cells from SLC11A2 knockout mice (Slc11a2−/−) as negative controls

    • Employ siRNA knockdown of SLC11A2 in cell culture systems using validated siRNA sequences (see Table 1 for effective siRNA target sequences) :

    siRNA Target Sequences for mouse Slc11a2
    siRNA1: AGACAGGUGAAUCGGGCCA
    siRNA2: ACAAAUAUGGCUUGCGGAA
    siRNA3: GGACCUUUCUGACGAUGAA
    siRNA4: GGUUUAAAGUGUAUCGAUA
  • Conditional Knockout Models:

    • NG2-DMT1 KO or Sox10-DMT1 KO mice with tamoxifen-inducible Cre systems allow for tissue-specific and temporal control of SLC11A2 deletion

    • These models provide valuable negative control tissues for antibody validation

  • Peptide Competition Assays:

    • Pre-incubating the antibody with its specific immunogen peptide should abolish specific staining

    • Some manufacturers offer blocking peptides specific to their antibodies

  • Multiple Antibody Validation:

    • Compare staining patterns using antibodies targeting different epitopes of SLC11A2

    • Consistent patterns across antibodies increase confidence in specificity

What molecular weight should I expect when detecting SLC11A2 with biotin-conjugated antibodies?

The expected molecular weight for SLC11A2 detection varies slightly between sources and may depend on post-translational modifications:

SourceCalculated MWObserved MWNotes
Boster Bio (A02622)62,266 DaNot specifiedCalculated from amino acid sequence
Proteintech (20507-1-AP)62 kDa60-70 kDaRange accounts for glycosylation and other modifications
ABIN7161094Not specifiedNot specifiedTargets AA 1-69 of human SLC11A2
ABIN701067Not specifiedNot specifiedTargets AA 251-350 of human SLC11A2

When interpreting Western blot results:

  • Expect the main SLC11A2 band between 60-70 kDa

  • Multiple bands may represent different isoforms or post-translational modifications

  • Truncated versions of SLC11A2 have been observed in some experimental systems

  • Glycosylation patterns may vary across tissue types, potentially affecting apparent molecular weight

  • Denaturation conditions can affect observed molecular weight due to the protein's highly hydrophobic nature with multiple transmembrane domains

What sample preparation techniques optimize detection with biotin-conjugated SLC11A2 antibodies?

Optimal sample preparation is critical for successful detection of SLC11A2 using biotin-conjugated antibodies:

  • For Western Blotting:

    • Use fresh tissue/cells when possible

    • Include protease inhibitors in lysis buffers to prevent degradation

    • Standard RIPA or NP-40 buffers are typically effective for membrane protein extraction

    • Consider membrane fractionation to enrich for SLC11A2, as it is a transmembrane protein

    • For difficult samples, gentle non-ionic detergents help maintain protein integrity

  • For Immunohistochemistry:

    • Paraffin sections: Antigen retrieval is critical; use TE buffer pH 9.0 or alternatively citrate buffer pH 6.0

    • Frozen sections: Fix briefly (10 min) with cold 4% paraformaldehyde

    • Block endogenous biotin using commercial blocking kits to reduce background

    • Quench endogenous peroxidase activity if using HRP-based detection systems

  • For Immunofluorescence:

    • Gentle fixation (4% PFA, 10-15 minutes) preserves epitope accessibility

    • Permeabilization with 0.1% Triton X-100 enhances antibody penetration

    • Extended blocking (1-2 hours) with serum matching the secondary antibody host reduces background

  • For ELISA:

    • Standardize protein concentration across samples

    • Pre-clear lysates by centrifugation to remove debris

    • Consider detergent compatibility with coating procedures

How can biotin-conjugated SLC11A2 antibodies be used to investigate iron transport mechanisms in disease models?

Biotin-conjugated SLC11A2 antibodies offer powerful tools for studying iron transport in various disease models:

  • Iron Deficiency Anemia:

    • Track upregulation of SLC11A2 in duodenal enterocytes during iron deficiency

    • Compare SLC11A2 expression and localization between normal and iron-deficient animals

    • Correlate SLC11A2 protein levels with hematological parameters

  • Hemochromatosis Models:

    • Investigate SLC11A2 expression changes in Hfe knockout mice, which model hereditary hemochromatosis

    • Evidence shows that Hfe deficiency can partially rescue the phenotype of SLC11A2-deficient mice, suggesting compensatory mechanisms

    • Study compound mutants (Slc11a2−/−Hfe−/−) to understand transporter interactions

  • Neurodegeneration:

    • Examine SLC11A2 expression in brain regions affected by Parkinson's or Alzheimer's disease

    • Use conditional knockout models (such as Sox10-DMT1 KO) to study the role of SLC11A2 in oligodendrocyte function and myelination

    • Investigate iron accumulation patterns in relation to SLC11A2 distribution in neuronal tissues

  • Cancer Models:

    • Compare SLC11A2 expression in normal vs. cancer cell lines (HuH-7, COLO 320, Caco-2, SH-SY5Y)

    • Study how altered iron metabolism affects cancer cell proliferation and metastasis

    • Investigate potential correlations between SLC11A2 expression and response to iron chelation therapies

Methodology for such studies typically combines:

  • Western blotting to quantify total protein expression

  • Immunohistochemistry to determine cellular and subcellular localization

  • Co-localization studies with other iron metabolism proteins

  • Functional assays of iron uptake correlated with SLC11A2 expression

What are the experimental considerations for studying SLC11A2 in different tissue types?

Different tissues require specific considerations when studying SLC11A2 with biotin-conjugated antibodies:

Tissue TypeSLC11A2 ExpressionSpecial Considerations
DuodenumHigh (apical membrane of enterocytes)- High endogenous biotin may increase background
- Compare with other iron transporters (ferroportin)
- Consider fixation effects on membrane proteins
BrainRegion-specific- Blood-brain barrier considerations for in vivo studies
- Use Sox10-CreER or NG2-CreER systems for cell-specific deletion
- Higher antibody concentrations often needed
LiverModerate- High endogenous biotin requires stringent blocking
- Hepatocyte heterogeneity based on zone location
- Iron loading affects expression patterns
KidneyVariable- Segment-specific expression patterns
- Compare with other metal transporters
Bone Marrow/Erythroid CellsHigh- Comparison with transferrin receptor expression
- Special fixation for marrow samples

Methodological recommendations:

  • For tissues with high endogenous biotin (liver, kidney, brain), use commercial avidin/biotin blocking kits before applying biotin-conjugated antibodies

  • For duodenal sections, orientation is critical to distinguish apical vs. basolateral staining

  • For brain sections, use thin sections (5-7μm) and extended antibody incubation times

  • For bone marrow, specialized fixatives (such as Bouin's solution) may better preserve morphology

How can I effectively combine biotin-conjugated SLC11A2 antibodies with other iron metabolism markers?

Multiplex analysis combining SLC11A2 with other iron metabolism markers provides comprehensive insights:

  • Methodological Approaches:

    • Double immunofluorescence using different detection systems (biotin-streptavidin for SLC11A2 and direct fluorophore conjugates for other markers)

    • Sequential immunostaining with careful antibody stripping between rounds

    • Parallel staining of adjacent sections for markers requiring incompatible protocols

  • Recommended Marker Combinations:

    • SLC11A2 + Ferroportin (FPN/SLC40A1): Compare iron importer vs. exporter

    • SLC11A2 + Transferrin Receptor 1 (TfR1): Analyze different iron uptake pathways

    • SLC11A2 + Ferritin: Correlate iron transport with storage

    • SLC11A2 + IRP1/IRP2: Examine post-transcriptional regulation (especially using biotinylated-IRE probe methods)

  • Technical Considerations:

    • Choose primary antibodies from different host species to avoid cross-reactivity

    • When using biotin-conjugated SLC11A2 antibodies, other markers should use non-biotin detection systems

    • Control for spectral overlap when using multiple fluorophores

    • Include single-stained controls to verify specificity

  • Analysis Approaches:

    • Colocalization quantification using specialized software

    • Correlation of staining intensities across cell populations

    • Subcellular distribution comparison using confocal microscopy

What controls are essential when working with biotin-conjugated SLC11A2 antibodies?

Rigorous experimental controls are crucial for reliable results with biotin-conjugated SLC11A2 antibodies:

  • Negative Controls:

    • Primary antibody omission (detection reagents only)

    • Isotype control (non-specific IgG of same isotype and concentration)

    • Tissue from SLC11A2 knockout models (Slc11a2−/−)

    • Cells treated with validated siRNA against SLC11A2

  • Positive Controls:

    • Tissues known to express SLC11A2 (duodenum, specific brain regions)

    • Cell lines with verified SLC11A2 expression (HuH-7, COLO 320, Caco-2, SH-SY5Y, HepG2)

    • Overexpression systems with tagged SLC11A2 constructs

  • Technical Controls:

    • Endogenous biotin blocking control (especially for liver, kidney, brain samples)

    • Autofluorescence control (unstained sample) for fluorescence applications

    • Absorption controls (pre-incubation with immunizing peptide)

    • Iron manipulation controls (cells/tissues treated with iron chelators or iron loading)

  • Validation Approaches:

    • Compare results with multiple antibodies targeting different SLC11A2 epitopes

    • Correlate protein detection with mRNA expression data

    • Verify that manipulations known to alter SLC11A2 (iron deficiency/overload) produce expected changes

How do I troubleshoot common issues with biotin-conjugated SLC11A2 antibodies?

IssuePossible CausesTroubleshooting Approaches
High Background- Endogenous biotin
- Insufficient blocking
- Excessive antibody concentration
- Use commercial avidin/biotin blocking kits
- Increase blocking time/concentration
- Titrate antibody to optimal concentration
- Include detergent in wash buffers
No Signal- Degraded epitope
- Ineffective antigen retrieval
- Antibody denaturation
- Optimize fixation protocols
- Try alternative antigen retrieval methods
- Verify antibody activity with dot blot
- Check detection system with positive control
Multiple Bands (WB)- Isoforms/splice variants
- Degradation products
- Post-translational modifications
- Include protease inhibitors in lysates
- Compare with mRNA expression data
- Use isoform-specific antibodies if available
- Verify with knockout/knockdown controls
Inconsistent Results- Sample variability
- Antibody lot variation
- Protocol inconsistency
- Standardize sample preparation
- Use consistent antibody concentration
- Implement detailed protocol documentation
- Include internal controls in each experiment

For specific troubleshooting example:

  • When detecting SLC11A2 in brain tissue, endogenous biotin often causes high background. Solution: Implement a sequential blocking approach - first block endogenous biotin using an avidin/biotin blocking kit, then perform standard protein blocking, followed by overnight primary antibody incubation at 4°C with extended washing steps.

How can I study SLC11A2 isoforms using biotin-conjugated antibodies?

SLC11A2/DMT1 exists in multiple isoforms that differ in their N-terminal and C-terminal regions. To study these isoforms using biotin-conjugated antibodies:

  • Isoform Identification Strategy:

    • Select antibodies targeting different epitopes to distinguish isoforms

    • ABIN7161094 (targeting AA 1-69) may detect N-terminal variants

    • ABIN701067 (targeting AA 251-350) likely detects all major isoforms

    • Combine with RT-PCR to confirm isoform expression at mRNA level

  • Technical Approaches:

    • Western blotting with high-resolution gels (8-10% acrylamide) to separate closely sized isoforms

    • 2D electrophoresis to separate isoforms based on both size and charge

    • Immunoprecipitation followed by mass spectrometry for definitive isoform identification

    • Isoform-specific knockdown to confirm antibody specificity

  • Functional Studies:

    • Compare isoform expression across tissues with different iron requirements

    • Assess isoform regulation under iron deficiency vs. iron overload conditions

    • Correlate isoform expression with iron regulatory protein (IRP) activity

  • Analytical Considerations:

    • Document all observed molecular weights precisely

    • Consider that post-translational modifications may cause shifts in apparent molecular weight

    • Use positive controls with known isoform expression patterns

What are the best practices for storing and handling biotin-conjugated SLC11A2 antibodies?

Proper storage and handling of biotin-conjugated SLC11A2 antibodies are essential for maintaining their activity:

Storage ConditionRecommendationNotes
Long-term Storage-20°CStable for one year at this temperature
Working Storage4°CSuitable for up to one month
Freeze-Thaw CyclesAvoidAliquot upon receipt to minimize freeze-thaw cycles
Buffer CompositionPBS with 0.02% sodium azide, 50% glycerol, pH 7.2-7.3Typical formulation for stability

Handling recommendations:

  • Centrifuge briefly before opening to collect solution at the bottom of the vial

  • Use sterile technique when handling to prevent contamination

  • Return to appropriate storage temperature immediately after use

  • For diluted working solutions, prepare fresh or store at 4°C for maximum 7 days

  • Some preparations contain BSA (0.1%) for additional stability

  • Do not heat antibodies during thawing; allow to thaw naturally at 4°C

How can biotin-conjugated SLC11A2 antibodies be used in the study of neurodegenerative diseases?

SLC11A2/DMT1 plays crucial roles in brain iron homeostasis, making it relevant to neurodegenerative disease research:

  • Methodological Approaches:

    • Immunohistochemistry to map SLC11A2 distribution in brain regions affected by neurodegeneration

    • Double-labeling with cell type-specific markers (neurons, astrocytes, oligodendrocytes, microglia)

    • Quantitative Western blotting to compare expression levels in disease vs. control samples

    • Correlative studies with iron staining methods (Perls' Prussian blue)

  • Specific Applications:

    • Conditional knockout models (NG2-DMT1 KO, Sox10-DMT1 KO) to study oligodendrocyte-specific iron transport

    • Analysis of myelin deficits associated with SLC11A2 deficiency in oligodendrocytes

    • Comparison of SLC11A2 expression in regions with iron accumulation in Parkinson's disease

    • Investigation of blood-brain barrier iron transport mechanisms

  • Experimental Design Considerations:

    • Use tamoxifen-inducible Cre systems for temporal control of SLC11A2 deletion

    • Include age-matched controls due to age-related changes in brain iron

    • Consider regional variations in SLC11A2 expression within the CNS

    • Correlate with behavioral or functional measures in animal models

  • Technical Recommendations:

    • Extended primary antibody incubation times (24-48h at 4°C) for optimal penetration in brain tissue

    • Thinner sections (5-7μm) for better resolution of subcellular localization

    • Use tyramide signal amplification for detection of low abundance expression

How can I quantify SLC11A2 expression levels using biotin-conjugated antibodies?

Accurate quantification of SLC11A2 expression requires careful methodological considerations:

  • Western Blot Quantification:

    • Include recombinant protein standards for absolute quantification

    • Use housekeeping proteins appropriate for the specific tissue type as loading controls

    • Employ digital imaging systems with linear dynamic range

    • Perform densitometric analysis with background subtraction

    • Report results as ratio to housekeeping protein or total protein (Ponceau S staining)

  • Immunohistochemistry Quantification:

    • Use standardized staining protocols with consistent reagent lots

    • Include calibration slides in each batch

    • Employ digital image analysis with defined intensity thresholds

    • Measure both staining intensity and percent positive area

    • Report results as H-score or quantitative immunohistochemistry (qIHC) values

  • ELISA Approaches:

    • Develop sandwich ELISA using biotin-conjugated SLC11A2 antibody as detection antibody

    • Include recombinant SLC11A2 protein standards

    • Validate with knockout/knockdown samples

    • Determine optimal sample dilution to ensure measurements within linear range

  • Flow Cytometry:

    • Use streptavidin-fluorophore conjugates for detection

    • Include compensation controls when multiplexing

    • Report as median fluorescence intensity (MFI)

    • Validate with isotype controls and knockdown samples

The choice of quantification method should align with the specific research question, considering factors such as need for spatial information, sensitivity requirements, and availability of appropriate controls.

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