MED14 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.
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days after receiving it. Delivery time may vary depending on the method of purchase or location. Please consult your local distributor for specific delivery details.
Synonyms
Activator-recruited cofactor 150 kDa component antibody; ARC150 antibody; Cofactor required for Sp1 transcriptional activation subunit 2 antibody; CRSP complex subunit 2 antibody; DRIP150 antibody; EXLM1 antibody; hRGR1 antibody; MED14 antibody; MED14_HUMAN antibody; Mediator complex subunit 14 antibody; Mediator of RNA polymerase II transcription subunit 14 antibody; RGR1 antibody; RGR1 homolog antibody; Thyroid hormone receptor-associated protein complex 170 kDa component antibody; Transcriptional coactivator CRSP150 antibody; Trap170 antibody; Vitamin D3 receptor-interacting protein complex 150 kDa component antibody
Target Names
MED14
Uniprot No.

Target Background

Function
MED14 antibody targets a protein that is a component of the Mediator complex. This complex acts as a coactivator, playing a crucial role in the regulated transcription of a wide range of RNA polymerase II-dependent genes. Mediator acts as a bridge, transmitting information from gene-specific regulatory proteins to the basal RNA polymerase II transcription machinery. It is recruited to promoters through direct interactions with regulatory proteins, acting as a scaffold for the assembly of a functional preinitiation complex involving RNA polymerase II and the general transcription factors.
Gene References Into Functions
  1. Functional analysis implicates TNRC6A, NAT10, MED14, and WDR5 in RNA-mediated transcriptional activation. PMID: 28813667
  2. This result stems from a significantly enhanced ability of MED14-containing complexes to associate with Pol II. PMID: 25383669
  3. VitD-mediated stimulation of GC anti-inflammatory affects human monocytes in a process involving GM-CSF and MED14 PMID: 23572530
  4. DRIP150 binds to ISGF3 and regulates transcription PMID: 12509459
  5. CRSP2 gene is expressed in the retina and its exact genomic location is on Xp11.4 between DXS1368 and DXS993 PMID: 12825353
  6. Coactivation of ERalpha by DRIP150 in ZR-75 cells is NR box-independent and requires a novel sequence with putative alpha-helical structure. PMID: 15625066
  7. MED14 and MED1 are utilized by glucocorticoid receptor in a gene-specific manner, providing a mechanism for promoter selectivity by glucocorticoid receptor PMID: 16239257
  8. Coactivator that enhances estrogen receptor alpha- and specificity protein (SP)-1-mediated transactivation in breast cancer cells. PMID: 17306756

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Database Links

HGNC: 2370

OMIM: 300182

KEGG: hsa:9282

STRING: 9606.ENSP00000323720

UniGene: Hs.407604

Protein Families
Mediator complex subunit 14 family
Subcellular Location
Nucleus.
Tissue Specificity
Ubiquitous.

Q&A

What applications are MED14 antibodies validated for, and what species reactivity can researchers expect?

MED14 antibodies have been extensively validated for multiple applications with specific reactivity profiles. Commercial antibodies show consistent performance in Western blotting (WB), immunohistochemistry (IHC), immunoprecipitation (IP), and immunofluorescence/immunocytochemistry (IF/ICC) applications. According to validation data, most MED14 antibodies demonstrate strong reactivity with human samples, with many also cross-reacting with mouse and rat tissues .

The species reactivity profile varies slightly between manufacturers:

ManufacturerValidated ReactivityPredicted Reactivity
ProteintechHuman, Mouse, Rat-
AbcamHuman-
NovusHumanMouse (100%), Rat (100%)
BosterHuman, MousePig, Zebrafish, Bovine, Horse, Sheep, Rabbit, Dog, Chicken, Xenopus

For optimal experimental outcomes, researchers should select antibodies with validated reactivity for their specific species of interest and verify cross-reactivity when working with non-validated species .

Why do I observe multiple bands or unexpected molecular weights when using MED14 antibody in Western blotting?

The observation of multiple bands when working with MED14 antibodies is documented in literature and manufacturer validation data. While the calculated molecular weight of MED14 is approximately 161 kDa, researchers commonly observe additional bands at 120 kDa, 71 kDa, and occasionally other molecular weights .

These discrepancies may result from:

  • Post-translational modifications: Phosphorylation or other modifications can alter migration patterns

  • Alternative splicing: Different MED14 isoforms may be expressed in various tissues

  • Proteolytic processing: Cleavage products of the full-length protein

  • Sample preparation conditions: Incomplete denaturation or degradation during processing

For example, Abcam reports that their antibody (ab72141) detects bands at approximately 160 kDa (predicted size), 120 kDa, and 71 kDa in HeLa cell lysates . To determine which band represents the specific target:

  • Use positive and negative controls (knockdown/knockout samples)

  • Perform peptide competition assays (as demonstrated by Boster Bio with their MED14 antibody)

  • Compare results across multiple antibodies targeting different epitopes of MED14

  • Validate with recombinant expression systems

Researchers should document all observed bands and their relative intensities for comprehensive reporting .

What is the functional role of MED14 in transcriptional regulation, and how can antibodies help elucidate its mechanism?

MED14 serves as a critical architectural component of the Mediator complex, which bridges transcription factors with RNA polymerase II. According to functional studies, MED14 plays a particularly important role in PPARγ-mediated transcriptional activation .

Research findings demonstrate that:

  • MED14 directly interacts with the N-terminal domain of PPARγ in a ligand-independent manner

  • MED14 knockdown impairs PPARγ-dependent activation of genes involved in fatty acid storage

  • MED14 is essential for proper recruitment of other Mediator components (MED6, MED8) to target gene promoters

  • MED14 knockdown inhibits adipogenesis in 3T3-L1 cells

To investigate MED14's role in transcriptional regulation, researchers can employ antibodies in several methodological approaches:

  • Chromatin Immunoprecipitation (ChIP): To determine genomic binding sites of MED14 and co-occupancy with other transcription factors

  • Co-immunoprecipitation (Co-IP): To identify protein interaction partners

  • Immunofluorescence: To visualize nuclear localization and co-localization with transcriptional machinery

  • Proximity ligation assays: To detect protein-protein interactions in situ

When designing such experiments, researchers should consider appropriate controls, including IgG controls for ChIP/IP experiments and validation of antibody specificity through knockdown approaches .

What are the optimal sample preparation methods for detecting MED14 in different experimental applications?

Optimal detection of MED14 requires application-specific sample preparation protocols. Based on published methodologies and manufacturer recommendations:

For Western Blotting:

  • Use hypotonic SDS sample buffer for cell lysis as described in published protocols

  • Separate proteins on 7-10% SDS-PAGE gels due to the large molecular weight of MED14 (161 kDa)

  • Transfer to PVDF membranes using low-methanol transfer buffers to enhance transfer of high molecular weight proteins

  • Blocking with 5% non-fat milk or BSA in TBST is generally effective

For Immunohistochemistry:

  • Paraffin-embedded tissues: Use heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)

  • Recommended dilutions range from 1:20-1:300 depending on the specific antibody

  • Include appropriate positive tissue controls (MED14 is ubiquitously expressed but levels vary by tissue)

For Immunofluorescence/ICC:

  • Fixation with 4% paraformaldehyde for 15-20 minutes at room temperature

  • Permeabilization with 0.1-0.5% Triton X-100

  • Recommended dilutions typically range from 1:200-1:1000

  • Nuclear counterstaining with DAPI aids in visualizing the predominantly nuclear localization of MED14

For Immunoprecipitation:

  • Lysis in non-denaturing buffers containing protease inhibitors

  • Pre-clearing with protein A/G beads before antibody addition

  • Use 3-5 μg antibody per mg of whole cell lysate

Researchers should optimize these conditions for their specific cellular/tissue context and validate detection specificity using appropriate controls .

How can I validate the specificity of MED14 antibodies and ensure reliable experimental results?

Rigorous validation of MED14 antibody specificity is essential for generating reliable data. Multiple complementary approaches should be employed:

1. Genetic Validation:

  • siRNA/shRNA knockdown of MED14 should reduce or eliminate the specific signal

  • CRISPR/Cas9 knockout samples provide the gold standard for specificity validation

  • Overexpression of tagged MED14 should show corresponding signal increase and co-localization

2. Peptide Competition Assays:

  • Pre-incubating the antibody with the immunizing peptide should abolish specific binding

  • Boster Bio demonstrates this approach with their MED14 antibody (A04799-1) in both IHC and IF applications, showing complete signal elimination when using the blocking peptide

3. Multiple Antibody Validation:

  • Compare results using antibodies targeting different epitopes of MED14

  • Consistent results across different antibodies increase confidence in specificity

4. Correlation with mRNA Expression:

  • Tissue or cell types with known high/low MED14 expression at the mRNA level should show corresponding protein levels

5. Expected Localization Pattern:

  • MED14 should exhibit predominantly nuclear localization as demonstrated in validated immunofluorescence images

6. Predicted Molecular Weight:

  • The primary band should appear at approximately 161 kDa, though additional bands may represent post-translational modifications or processing

Researchers should document validation methods in publications and be transparent about limitations of antibody specificity .

How do I optimize ChIP assays using MED14 antibodies to study genomic binding sites?

Optimizing ChIP assays for MED14 requires careful attention to several experimental parameters. Based on published methodologies for MED14 and other Mediator complex components:

1. Chromatin Preparation:

  • Cross-link cells with 1% formaldehyde for 10 minutes at room temperature

  • Quench with 125 mM glycine for 5 minutes

  • Sonicate chromatin to achieve fragments of 200-500 bp (verify fragment size by agarose gel electrophoresis)

  • Optimal sonication conditions must be empirically determined for each cell type

2. Antibody Selection and Validation:

  • Verify that your MED14 antibody is validated for ChIP applications

  • The antibody should recognize the native, cross-linked form of MED14

  • Perform preliminary IP experiments to confirm antibody efficiency

3. Immunoprecipitation Conditions:

  • Use 3-5 μg of MED14 antibody per ChIP reaction

  • Include appropriate controls:

    • IgG negative control (same species as MED14 antibody)

    • Input chromatin (typically 1-5% of starting material)

    • Positive control antibody (e.g., histone H3)

4. Target Selection:

  • Based on published data, PPARγ target genes like Fabp4 are appropriate positive controls for MED14 binding

  • Include negative control regions (gene deserts or unexpressed genes)

5. Data Analysis and Normalization:

  • Calculate percent input enrichment

  • Compare enrichment at target sites versus control regions

  • Consider dual cross-linking approaches if standard formaldehyde fixation gives poor results

Studies have shown that MED14 knockdown affects recruitment of PPARγ, MED6, MED8, and RNA polymerase II to the Fabp4 promoter, suggesting these could be meaningful targets to examine in MED14 ChIP experiments .

How do I interpret variations in MED14 expression patterns across different cell types and tissues?

When analyzing MED14 expression patterns across different tissues and cell types, researchers should consider both quantitative differences in expression levels and qualitative differences in subcellular localization or molecular weight. Interpretation should account for:

1. Expression Level Variations:

  • MED14 is ubiquitously expressed but with tissue-specific variation

  • Higher expression is typically observed in metabolically active tissues

  • Quantification should use appropriate housekeeping genes for normalization

  • When comparing across tissues, consider using multiple normalization strategies

2. Subcellular Localization:

  • MED14 predominantly localizes to the nucleoplasm as demonstrated in immunofluorescence studies of human cell lines like SiHa

  • Cytoplasmic detection may indicate:

    • Potential antibody cross-reactivity

    • Altered cellular function in disease states

    • Specific cellular conditions affecting Mediator complex assembly

3. Molecular Weight Variations:

  • The predicted molecular weight is 161 kDa

  • Multiple bands are commonly observed (120 kDa, 71 kDa)

  • Tissue-specific differences in banding patterns may indicate:

    • Alternative splicing

    • Post-translational modifications

    • Tissue-specific processing

4. Correlation with Functional Data:

  • Interpret expression patterns in the context of known functions:

    • MED14's role in adipogenesis suggests potential importance in adipose tissue

    • Functions in transcriptional regulation indicate correlation with transcriptionally active cells

5. Pathological Considerations:

  • Changes in MED14 expression or localization in disease states may have functional significance

  • Compare with normal tissue controls when analyzing pathological samples

For comprehensive analysis, researchers should combine multiple detection methods (WB, IHC, IF) and correlate protein expression with mRNA data when possible .

What are the most effective approaches for MED14 knockdown studies, and how can I validate knockdown efficiency?

Designing effective MED14 knockdown experiments requires careful consideration of knockdown methods, validation approaches, and functional readouts:

1. RNA Interference Methods:

  • siRNA transfection:

    • Effective for short-term knockdown (3-5 days)

    • Multiple siRNAs targeting different regions of MED14 mRNA should be tested

    • Published studies have successfully used siRNA for MED14 knockdown in functional studies

  • shRNA expression:

    • Suitable for stable, long-term knockdown

    • Viral delivery systems (lentivirus/retrovirus) increase efficiency in hard-to-transfect cells

    • Selection markers enable establishment of stable knockdown cell lines

2. CRISPR/Cas9 Approaches:

  • For complete knockout or specific domain deletions

  • Multiple guide RNAs should be designed and validated

  • Consider inducible systems if MED14 knockout affects cell viability

3. Validation of Knockdown Efficiency:

  • Protein level validation:

    • Western blot using validated MED14 antibodies

    • Quantify band intensity relative to loading controls (TFIIB has been used as control in published studies)

    • Immunofluorescence to confirm reduced nuclear staining

  • mRNA level validation:

    • RT-qPCR with validated primer sets

    • Multiple primer pairs targeting different exons recommended

4. Functional Validation:

  • Adipogenesis assays:

    • MED14 knockdown impairs adipogenesis in 3T3-L1 cells

    • Oil Red O staining can quantify lipid accumulation

  • Transcriptional reporter assays:

    • Luciferase reporters driven by PPARγ-responsive elements

    • Studies have shown MED14 is required for PPARγ-dependent transactivation

5. Rescue Experiments:

  • Re-expression of siRNA-resistant MED14 should rescue phenotypes

  • Domain deletion constructs can identify critical regions for function

When interpreting results, consider the possibility of incomplete knockdown and compensatory mechanisms through other Mediator complex components .

How does MED14 interact with other Mediator complex components, and what methods can elucidate these relationships?

Understanding the interplay between MED14 and other Mediator components is critical for elucidating transcriptional regulation mechanisms. Current research provides insights into these interactions and methodologies for their investigation:

1. Structural and Functional Relationships:

  • MED14 serves as a structural backbone in the Mediator complex

  • It interacts with components of both the middle and tail modules

  • Studies show MED14 knockdown affects recruitment of MED6 and MED8 to certain promoters

  • MED14 tethers the Mediator complex to the N-terminal domain of PPARγ

2. Co-Immunoprecipitation Approaches:

  • Using MED14 antibodies to pull down associated Mediator components

  • Reciprocal IPs with antibodies against other Mediator components (MED1, MED6, etc.)

  • Analysis by Western blot or mass spectrometry to identify interacting partners

  • Crosslinking techniques can capture transient interactions

3. Chromatin Co-occupancy Analysis:

  • Sequential ChIP (Re-ChIP) can determine co-occupancy of MED14 with other factors

  • Published data shows MED14 knockdown does not affect PPARγ, MED6, and MED8 recruitment to the Fabp4 enhancer but reduces their occupancy at the proximal promoter

  • This suggests differential roles in enhancer versus promoter regions

4. Proximity-Based Approaches:

  • Proximity ligation assays (PLA) for in situ detection of protein interactions

  • BioID or APEX2 proximity labeling using MED14 fusions

  • FRET/BRET approaches with fluorescently tagged Mediator components

5. Functional Interdependence:

  • Knockdown/knockout of individual components followed by functional assays

  • Rescue experiments with mutant constructs lacking specific interaction domains

6. Comparative Analysis Across Different Transcription Factors:

  • While MED14 is required for PPARγ-mediated transcription, its role may differ for other transcription factors

  • Experimental design should include multiple transcription factor pathways for comparison

Understanding these interactions has significant implications for transcriptional regulation mechanisms and potential therapeutic targeting of specific Mediator-transcription factor interactions .

What are the optimal storage and handling conditions for MED14 antibodies to ensure long-term stability and reproducible results?

Proper storage and handling of MED14 antibodies is critical for maintaining reactivity and ensuring experimental reproducibility. Based on manufacturer recommendations and scientific best practices:

1. Storage Temperature:

  • Long-term storage: -20°C is recommended by most manufacturers

  • Aliquoting upon receipt minimizes freeze-thaw cycles

  • For antibodies in glycerol formulations (e.g., 50% glycerol), aliquoting may be unnecessary for -20°C storage

  • Working stocks can be kept at 4°C for up to one month

2. Formulation Considerations:

  • Many MED14 antibodies are supplied in PBS containing:

    • 50% glycerol as cryoprotectant

    • 0.02-0.05% sodium azide as preservative

    • Some contain BSA (0.1-0.5%) as stabilizer

  • BSA-free formulations are available upon request from some manufacturers for specific applications

3. Freeze-Thaw Cycles:

  • Minimize freeze-thaw cycles to prevent antibody degradation

  • Typical stability data indicates antibodies remain stable for at least 1 year when properly stored

  • Document date of thawing and number of freeze-thaw cycles

4. Diluted Antibody Handling:

  • Working dilutions should be prepared fresh when possible

  • If storage is necessary, keep at 4°C with preservative (0.02% sodium azide)

  • Use within 1-2 weeks for optimal performance

5. Application-Specific Considerations:

  • Western blotting: Many MED14 antibodies perform optimally at 0.04-1 μg/mL

  • Immunoprecipitation: Typically requires 3-5 μg antibody per mg of lysate

  • IHC: Dilutions ranging from 1:20-1:300 depending on specific antibody and protocol

  • IF/ICC: Optimal dilutions typically fall between 1:200-1:1000

6. Quality Control Measures:

  • Include positive controls in each experiment to verify antibody performance

  • Consider running a standard sample across experiments for normalization

  • Document lot numbers and dates to track potential batch variations

Following these guidelines will help ensure consistent and reliable results when working with MED14 antibodies across different experimental applications .

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