Mif Antibody,FITC conjugated

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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
Typically, we can ship products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method or location. Please consult your local distributor for specific delivery time estimates.
Synonyms
MifMacrophage migration inhibitory factor antibody; MIF antibody; EC 5.3.2.1 antibody; Delayed early response protein 6 antibody; DER6 antibody; Glycosylation-inhibiting factor antibody; GIF antibody; L-dopachrome isomerase antibody; L-dopachrome tautomerase antibody; EC 5.3.3.12 antibody; Phenylpyruvate tautomerase antibody
Target Names
Mif
Uniprot No.

Target Background

Function
Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine that plays a critical role in the innate immune response to bacterial pathogens. Its expression at sites of inflammation suggests its involvement in regulating macrophage function during host defense. MIF counteracts the anti-inflammatory effects of glucocorticoids. While MIF exhibits phenylpyruvate tautomerase and dopachrome tautomerase activity in vitro, its physiological substrate remains unknown. The significance of its tautomerase activity in physiological processes, as well as its relationship to cytokine activity, requires further investigation.
Gene References Into Functions
  1. MIF mediates LPS-induced cardiac dysfunction in murine cardiomyocytes, which was attenuated by MIF knockout. PMID: 29350381
  2. MIF attenuates oxygen-glucose deprivation-induced cochlear cells injury. MIF enhances Nrf2 and inhibits oxidative stress in cochlear cells. Enhanced Akt-Nrf2-HO-1 pathway may mediate cochlear protection by MIF. PMID: 29908183
  3. Data indicate a regulatory role of macrophage migration inhibitory factor (MIF) in the NLR family pyrin domain containing 3 (NLRP3) inflammasome complex in macrophages. PMID: 29884801
  4. Research suggests that macrophage migration inhibitory factor directly engages in dengue NS1-induced glycocalyx degradation, indicating that targeting MIF may offer a potential therapeutic approach for preventing dengue-induced vascular leakage. PMID: 29702687
  5. Findings suggest a model where MIF expression in the primary tumor dampens the anti-tumor immune response, promoting tumor growth. PMID: 29864117
  6. MIF knockdown significantly accentuates hearing loss in young mice. PMID: 28990052
  7. Mif mediates PAR4-induced bladder pain through urothelial HMGB1. PMID: 29263120
  8. These results demonstrate that high systemic levels of MIF contribute to the development of type 2 diabetes mellitus pathology. PMID: 28780379
  9. High MIF expression is associated with progressive multiple sclerosis. PMID: 28923927
  10. The lack of MIF leads to disturbances in systemic and hippocampal insulin sensitivity, potentially contributing to memory deficits and anxiety, likely through decreased PSA-NCAM-mediated neuroplasticity rather than through neurotrophic factors. PMID: 28919555
  11. These data indicate the functional role of the MIF-COX-p53 axis in inflammation and cancer at the genomic and proteomic levels in COX-2-ablated cells. PMID: 29247872
  12. Our findings revealed that MIF regulates MCP-1 expression in hepatocytes of injured liver via CD74, CD44, and p38 MAPK in an autocrine manner. PMID: 27273604
  13. MIF is implicated in the pathogenesis of AF, likely by down-regulating the protein and gene expression of Cx43 via ERK1/2 kinase activation. PMID: 28429502
  14. Endogenous MIF reduces the accumulation and toxicity of misfolded SOD1 in a mouse model of amyotrophic lateral sclerosis. PMID: 27551074
  15. Gene expression of MIF was 30-fold higher in the heart compared to skeletal muscle, and protein expression of MIF was 3-fold higher in the heart compared to skeletal muscle. PMID: 27364992
  16. Renal tubular MIF serves as an endogenous renoprotective factor in progressive kidney diseases. PMID: 28801314
  17. Locally produced MIF at the inflammatory bone lytic site is involved in the chemoattraction of circulating CXCR4+ osteoclast precursor cells. PMID: 27082509
  18. MIF expression was induced in chondrocytes of tissue-engineered cartilage, and could exert a significant effect on chondrocytes by promoting cartilage maturation. MIF could also regulate the phenotype of surrounding macrophages, impairing the maturation of transplanted tissues. PMID: 28574571
  19. Pretreatment of P. aeruginosa with rMIF is associated with reduced bacterial killing by tobramycin. PMID: 28768722
  20. Loss of autophagy, by pharmacological inhibition or siRNA silencing of Atg5, enhances MIF secretion by monocytes and macrophages. PMID: 27163877
  21. CHD7 is an important factor in the proliferation and stemness maintenance of neural stem/progenitor cells. PMID: 27955690
  22. MIF-deficient mice have reduced Nippostrongylus brasiliensis burden and mounted an enhanced type 2 immune response, including increased Gata3 expression and interleukin-13 production in the mesenteric lymph nodes. PMID: 27049059
  23. Sertoli cells produce MIF under normal conditions. MIFR is expressed in GFRalpha1 and Sertoli cells. MIF induced spermatogonial cell migration. PMID: 27925200
  24. MIF-transgenic cells exhibited substantially decreased levels of p53 after hyperthermia treatment compared with WT and MIF-knockout cells. PMID: 27528627
  25. This study revealed that loss of keratinocyte-derived MIF leads to a loss of control of epithelial skin tumor formation in chemical skin carcinogenesis, highlighting an unexpected tumor-suppressive activity of MIF in murine skin. PMID: 27825106
  26. This study investigated the potential role of Macrophage migration inhibitory factor in osteoarthritis in human joint tissues and in vivo in mice with age-related and surgically induced osteoarthritis. PMID: 27564840
  27. MIF (macrophage migrating inhibitory factor), a potential pathogenic molecule in African trypanosomosis, was found to promote erythrophagocytosis, block extramedullary erythropoiesis and RBC maturation, and trigger hemodilution. PMID: 27632207
  28. Findings suggest that macrophage migration inhibitory factor regulates extramedullary erythropoiesis by inhibiting an overexpansion of splenic immature erythroid cells during chronic stress and indicate a novel role for this cytokine under chronic stress conditions. PMID: 27129368
  29. Findings suggest that Mif plays a role in the molecular mechanisms of macrophage and dendritic cell activation and drives T cell responses involved in the pathology of type 1 diabetes mellitus. PMID: 27699180
  30. MIF has a potential role in pathological angiogenesis of proliferative retinopathy. PMID: 28070752
  31. Genetic Mif deletion reduces the incidence and severity of oral carcinogenesis, by inhibiting the expression of chronic pro-inflammatory immune mediators. Thus, targeting MIF is a promising strategy for the prevention or therapy of oral cancer. PMID: 27164411
  32. MIF inhibits the myoblast differentiation by affecting the cell cycle progression, but does not affect proliferation. PMID: 26927414
  33. This paper demonstrates that the detrimental effect of MIF knockout was associated with accentuated loss in cardiac autophagy with aging. PMID: 26940544
  34. Our results suggest that MIF promotes mCSC survival, proliferation and endothelial differentiation through the activation of the PI3K/Akt/mTOR and AMPK signaling pathways. PMID: 27035848
  35. Posttranslational modification of MIF by S-nitrosation results in intracellular accumulation and protection from myocardial ischemia reperfusion injury. PMID: 26310191
  36. Data show that the siRNA-induced macrophage migration inhibitory factor (MIF) reduction in murine mammary cancer line 4T1 and human breast cancer line MDA-MB-231 resulted in significant reduction of cell proliferation and increase of apoptosis. PMID: 26403072
  37. High expression levels of macrophage migration inhibitory factor sustain the innate immune responses of neonates. PMID: 26858459
  38. The deletion of the MIF gene led to reduced behavioral despair in mice of both sexes and IFN-gamma mRNA levels were reduced in the hippocampus of the MIF KO mice. PMID: 26338025
  39. In D-galactosamine-sensitized mice CP+Cu(II) increased the LPS-induced lethality from 54 to 100%, while administration of antibodies against MIF prevented the lethal effect. The enhancement by CP+Cu(II) of the pro-inflammatory signal of MIF is discussed. PMID: 26091949
  40. data suggest that the MIF-Notch axis may play a significant role in the pathogenesis of experimental autoimmune uveitis. PMID: 26400205
  41. The functional role of MIF in cell recruitment was investigated by a chemotaxis assay and by flow cytometry of labeled macrophages that were injected into Mif-/-and wildtype mice. PMID: 26348853
  42. These results implicate MIF in the pathogenesis of esophageal inflammation and suggest that targeting MIF might represent a novel therapeutic approach for EoE. PMID: 25712805
  43. Data suggest that macrophage migration inhibitory factor (MIF) inhibition could be a promising strategy for the treatment of diabetes mellitus (DM)-associated atherosclerosis (AS). PMID: 25661015
  44. Bladder PAR activation elicits urothelial MIF release and urothelial MIF receptor signaling at least partly through CXCR4 to result in abdominal hypersensitivity without overt bladder inflammation. PMID: 26020638
  45. Transcription factor MEF2 and Zac1 mediate MIF-induced GLUT4 expression through CD74-dependent AMPK activation in cardiomyocytes. PMID: 26455966
  46. Blockade of CXCR7 suppressed MIF-mediated ERK- and zeta-chain-associated protein kinase (ZAP)-70 activation. PMID: 26139098
  47. Macrophage migration inhibitory factor is detrimental for survival and is associated with lung pathology, inflammatory cellular infiltration, and bacterial replication in a mouse model of pneumococcal pneumonia. PMID: 25943202
  48. Macrophage migration inhibitory factor may play a significant role in recovery from acoustic trauma. PMID: 25853607
  49. data indicate that MIF and CD74 facilitate RANKL-induced osteoclastogenesis, suggesting that MIF contributes directly to bone erosion, as well as inflammation, in rheumatoid arthritis. PMID: 25647268
  50. MIF was found to be a major platelet-derived chemotactic recruitment factor with clot-modulating properties and therefore might be relevant in inflammatory diseases such as atherosclerosis. PMID: 25561410

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Database Links

KEGG: mmu:17319

STRING: 10090.ENSMUSP00000041149

UniGene: Mm.2326

Protein Families
MIF family
Subcellular Location
Secreted. Cytoplasm.

Q&A

What is MIF and why is it important in immunological research?

Macrophage Migration Inhibitory Factor (MIF) is a 12.5 kDa, 115 amino acid, non-glycosylated polypeptide expressed by multiple cell types, including activated T cells, macrophages, eosinophils, epithelial cells, and endothelial cells. It plays crucial roles in biological processes such as catalytic activity, immunity, endocrine regulation, signal modulation, and inflammation. MIF has been established as a central mediator in delayed-type hypersensitivity (DTH) responses and endotoxic shock, serving as a counter-regulator of glucocorticoid action . Additionally, MIF is expressed in various malignant cells including lung, liver, breast, colon, and prostate tumors, suggesting it may serve as a molecular link between chronic inflammation and cancer . These diverse functions make MIF antibodies valuable tools for studying inflammatory conditions, immune regulation, and potentially, cancer biology.

What are the primary applications for MIF antibody, FITC conjugated?

MIF antibodies conjugated with FITC are primarily used in fluorescence-based detection methods. Based on manufacturer specifications, these applications include:

ApplicationDescriptionDetection Method
Flow Cytometry (FACS)Analysis of MIF expression in cellsFluorescence detection
Immunofluorescence (IF)Visualization of MIF in tissue sections or cellsFluorescence microscopy
Immunocytochemistry (ICC)Detection of MIF in cultured cellsFluorescence microscopy
Immunohistochemistry (IHC)Localization of MIF in tissue sectionsFluorescence microscopy

The FITC conjugation enables direct visualization without requiring secondary antibodies, streamlining protocols and reducing background in multicolor applications . When designing experiments, researchers should optimize antibody concentration for each specific application, as recommended dilutions may vary between techniques and experimental conditions.

How should MIF antibody, FITC conjugated be stored and handled to maintain functionality?

Proper storage and handling are crucial for maintaining antibody activity. MIF antibody, FITC conjugated should be stored at 2-8°C and should not be frozen, as indicated in product specifications . The antibody is typically presented lyophilized from PBS pH 7.4 with 20 mg/ml BSA, 0.02% sodium azide, and 4% trehalose for stability . Light sensitivity is a critical consideration for FITC-conjugated antibodies; therefore, they should be protected from light during storage and handling to prevent photobleaching of the fluorophore. Working aliquots should be prepared to minimize freeze-thaw cycles. Prior to use, centrifuge the antibody solution briefly to collect any material from the sides of the tube, and maintain sterile conditions when handling to prevent contamination.

What are the optimal fixation and permeabilization methods when using MIF antibody, FITC conjugated?

The choice of fixation and permeabilization methods can significantly impact antibody binding and fluorescence signal. For intracellular staining of MIF, which may be present in various cellular compartments:

  • Fixation options:

    • 4% paraformaldehyde (10-15 minutes) preserves cellular morphology while maintaining protein antigenicity

    • Methanol fixation (5 minutes at -20°C) may be suitable for nuclear or cytoplasmic targets but can denature some epitopes

  • Permeabilization approaches:

    • 0.1-0.5% Triton X-100 (5-10 minutes) for good nuclear access

    • 0.1-0.5% saponin for gentler membrane permeabilization, especially useful for transmembrane proteins

For flow cytometry applications, commercial fixation/permeabilization kits designed for intracellular cytokine staining often work well with MIF detection. The optimal protocol should be determined empirically for each experimental system, as fixation can affect the conformation of MIF and potentially impact antibody recognition, particularly when studying MIF's tautomerase activity or oligomeric states .

What controls should be implemented when using MIF antibody, FITC conjugated in experimental protocols?

Implementing appropriate controls is essential for accurate interpretation of results:

Control TypePurposeImplementation
Isotype ControlAssess non-specific bindingUse FITC-conjugated IgG matching the host species and isotype of anti-MIF antibody (e.g., FITC-conjugated rabbit IgG for polyclonal antibodies or mouse IgG1 for monoclonal antibodies)
Unstained ControlEstablish autofluorescence baselineInclude samples without any fluorophore
Blocking ControlVerify antibody specificityPre-incubate antibody with recombinant MIF protein before staining
Positive ControlConfirm assay functionalityInclude samples known to express MIF (e.g., activated macrophages or T cells)
Negative ControlEstablish background/thresholdInclude cells known not to express MIF or use siRNA knockdown

For multicolor flow cytometry applications, fluorescence minus one (FMO) controls should be used to set accurate gating boundaries. When studying MIF in tissues with high autofluorescence (e.g., liver), additional controls to distinguish specific staining from background are crucial .

How can MIF antibody, FITC conjugated be used to investigate CD74 signaling pathways?

MIF binds to CD74:CD44 complexes on macrophages and B cells, initiating downstream signaling pathways. To investigate these interactions:

  • Co-immunoprecipitation studies: Use MIF antibody to pull down protein complexes and analyze CD74 associations

  • Flow cytometry co-staining: Combine FITC-conjugated MIF antibody with differentially labeled CD74 and CD44 antibodies to analyze co-expression patterns

  • FRET (Fluorescence Resonance Energy Transfer): Pair FITC-conjugated MIF antibody with acceptor fluorophore-labeled CD74 antibodies to detect molecular proximity

  • Signaling pathway analysis: Use FITC-conjugated MIF antibody to sort MIF-positive cells, followed by Western blot analysis for phosphorylated signaling molecules (e.g., AMPK)

These approaches can help elucidate how MIF interactions with CD74:CD44 complexes on monocytes promote TNF-alpha production and IFN-gamma-stimulated NO production, or how binding to CD74:CXCR2 and CD74:CXCR4 heterodimers initiates T cell and monocyte migration .

How does the oligomeric state of MIF affect antibody binding and detection sensitivity?

Recombinant MIF exists as a mixture of monomers, dimers, and trimers, with the physiologically active forms believed to be predominantly dimeric and trimeric . This structural complexity presents challenges for antibody detection:

  • Epitope accessibility: Some epitopes may be masked in oligomeric forms

  • Conformational changes: Oligomerization can alter protein conformation, affecting antibody recognition

  • Detection sensitivity: Different oligomeric states may bind antibodies with varying affinities

To address these challenges, researchers should:

  • Use denaturing vs. non-denaturing conditions when appropriate to analyze different oligomeric states

  • Consider using antibodies validated for detection of specific oligomeric forms

  • Implement size exclusion chromatography or native PAGE before antibody detection to separate oligomeric species

  • Validate results using complementary techniques such as ELISA with capture antibodies known to recognize different epitopes

Understanding whether your experimental system involves monomeric, dimeric, or trimeric MIF is crucial for accurate interpretation of antibody-based detection results.

What are the key considerations when using MIF antibody, FITC conjugated in studies of fibrotic conditions?

Recent research has revealed an unexpected antifibrotic role of MIF in hepatic fibrogenesis through the CD74/AMPK signaling pathway in hepatic stellate cells (HSCs) . When investigating MIF in fibrotic conditions:

  • Cell-type specificity: Use FITC-conjugated MIF antibody in multi-parameter flow cytometry to distinguish MIF expression in different cell populations (e.g., HSCs vs. immune cells)

  • Downstream signaling: Combine MIF staining with analysis of phosphorylated AMPK to correlate MIF levels with AMPK activation

  • Functional readouts: Correlate MIF antibody staining intensity with functional assays of fibrosis (e.g., collagen production, α-SMA expression)

  • Model-specific considerations: Different fibrosis models may show different MIF expression patterns and functions:

    • In inflammatory fibrosis models, MIF may have dual pro-inflammatory and anti-fibrotic roles

    • In non-inflammatory fibrosis, focus on direct effects on fibroblasts/stellate cells

When using MIF antibodies in fibrosis research, it's important to note that Mif−/− mice unexpectedly exhibited increased severity of liver fibrosis in both models tested, contrary to what might be expected given MIF's pro-inflammatory properties . This highlights the complex dual nature of MIF in inflammation versus fibrosis, which researchers should consider when designing experiments.

What are common issues with FITC-conjugated antibodies and how can they be addressed?

Several technical challenges can arise when working with FITC-conjugated MIF antibodies:

IssuePossible CausesSolutions
PhotobleachingExtended light exposureMinimize light exposure; use anti-fade mounting media; consider more photostable fluorophores like Alexa Fluor 488
pH sensitivityFITC fluorescence decreases at pH < 7Ensure buffers are at pH 7.2-8.0; avoid acidic fixatives
Low signalSuboptimal antibody concentration; epitope maskingTitrate antibody; optimize antigen retrieval; use amplification systems
High backgroundNon-specific binding; autofluorescenceIncrease blocking; reduce antibody concentration; use tissues from Mif−/− mice as controls
Spectral overlapInterference from other fluorophoresUse appropriate compensation controls; consider spectral unmixing

For flow cytometry applications specifically, proper compensation is essential when combining FITC-conjugated MIF antibody with other fluorophores, as FITC has significant spectral overlap with PE and other green-yellow fluorophores .

How can researchers validate the specificity of MIF antibody, FITC conjugated in their experimental system?

Validating antibody specificity is crucial for reliable research findings. Several approaches can be used:

  • Genetic validation:

    • Compare staining in wild-type versus Mif−/− cells/tissues

    • Use siRNA or shRNA knockdown followed by antibody staining

  • Peptide competition:

    • Pre-incubate antibody with recombinant MIF protein before staining

    • Dose-dependent reduction in signal indicates specificity

  • Orthogonal methods:

    • Confirm results using multiple detection methods (flow cytometry, Western blot, immunofluorescence)

    • Use antibodies recognizing different MIF epitopes

  • Functional correlation:

    • Correlate antibody staining with functional readouts (e.g., AMPK phosphorylation)

    • Assess whether intervention with recombinant MIF affects both antibody staining and functional outcomes

  • Cross-reactivity assessment:

    • Test antibody against closely related proteins or in species with known sequence homology

    • For example, when using human MIF antibodies, note the sequence homology with mouse (90%) and rat (90%) MIF

Implementing these validation approaches ensures confident interpretation of experimental results and addresses potential concerns about antibody specificity when publishing or presenting research findings.

How can MIF antibody, FITC conjugated be utilized in studying the connection between inflammation and cancer?

MIF is expressed in various malignant cells including lung, liver, breast, colon, and prostate tumors, suggesting a role in connecting chronic inflammation with cancer development . FITC-conjugated MIF antibodies can facilitate research in this area through:

  • Tumor microenvironment analysis:

    • Multi-parameter flow cytometry combining MIF-FITC with markers for cancer cells, immune cells, and fibroblasts

    • Spatial analysis of MIF expression relative to inflammatory and cancer cells in tissue sections

  • Prognostic biomarker studies:

    • Analysis of MIF expression levels in patient samples correlated with clinical outcomes

    • Identification of MIF-positive circulating tumor cells

  • Therapeutic targeting assessment:

    • Monitoring changes in MIF expression following anti-inflammatory or anti-cancer therapies

    • Screening for compounds that modulate MIF expression or activity

  • Mechanistic studies:

    • Investigation of how MIF-mediated signaling affects cancer cell proliferation, migration, and invasion

    • Analysis of MIF's role in immune evasion mechanisms

These applications can help elucidate MIF's role at the interface of inflammation and cancer, potentially identifying new therapeutic targets or prognostic markers .

What considerations are important when using MIF antibody, FITC conjugated in multiplex imaging or flow cytometry?

Multiplex approaches require careful planning to maximize data quality:

  • Fluorophore selection:

    • FITC has relatively broad emission spectrum (peak ~520nm)

    • Avoid fluorophores with significant spectral overlap (e.g., PE, CFSE)

    • Consider brightness hierarchy (place FITC on abundant targets)

  • Panel design:

    • Include MIF-FITC in panels with far-red (APC) and violet (BV421) fluorophores to minimize compensation needs

    • When studying MIF in relation to its receptors (CD74, CD44, CXCR2, CXCR4), carefully select compatible fluorophores

  • Controls for multiplex approaches:

    • Single-stained controls for each fluorophore

    • FMO (Fluorescence Minus One) controls

    • Biological controls (stimulated vs. unstimulated cells)

  • Data analysis considerations:

    • Use dimensionality reduction techniques (tSNE, UMAP) for high-parameter data

    • Employ clustering algorithms to identify cell populations based on MIF and other markers

    • Correlate MIF expression with functional markers (cytokines, activation markers)

  • Special considerations for tissue imaging:

    • Implement spectral unmixing for multiplex immunofluorescence

    • Address autofluorescence, especially in tissues like liver where MIF plays important roles in fibrosis

These considerations ensure optimal results when incorporating FITC-conjugated MIF antibodies into complex multiparameter experiments .

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