med12 antibody Search Results


91
Novus Biologicals med12
TET3 affects DNA methylation and histone modifications of the <t>MED12,</t> TGFBR2, and TSP1 promoters. a UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative TET3 enrichment over input. n = 3. Red numbers indicate nucleotide positions relative to the transcriptional start sites, with PCR products depicted as red-stripped bars. b Sequences of critical transcription regulatory regions (CTRR) of MED12 , TGFBR2 , and TSP1 . The differentially methylated cytosine residues are marked in red. The red numbers mark the positions of the indicated nucleotides relative to the transcriptional start sites. c UtLM cells were transfected with siCon or siTET3 for 48 h, followed by QMSP analysis. n = 3. d UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative enrichment over input. n = 3. All data are representative of at least two independent experiments and are presented as mean ± SEM. * p < 0.05, ** p < 0.01
Med12, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/med12+antibody/pmc06755985-149-29-30?v=Novus+Biologicals
Average 91 stars, based on 1 article reviews
med12 - by Bioz Stars, 2026-06
91/100 stars
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93
Bethyl anti med12 a300 774a antibody
TET3 affects DNA methylation and histone modifications of the <t>MED12,</t> TGFBR2, and TSP1 promoters. a UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative TET3 enrichment over input. n = 3. Red numbers indicate nucleotide positions relative to the transcriptional start sites, with PCR products depicted as red-stripped bars. b Sequences of critical transcription regulatory regions (CTRR) of MED12 , TGFBR2 , and TSP1 . The differentially methylated cytosine residues are marked in red. The red numbers mark the positions of the indicated nucleotides relative to the transcriptional start sites. c UtLM cells were transfected with siCon or siTET3 for 48 h, followed by QMSP analysis. n = 3. d UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative enrichment over input. n = 3. All data are representative of at least two independent experiments and are presented as mean ± SEM. * p < 0.05, ** p < 0.01
Anti Med12 A300 774a Antibody, supplied by Bethyl, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/med12+antibody/hu_yiren__2018__dissecting_enhancer_functions_in_signal_induced_transcription_programs-409-19-25?v=Bethyl
Average 93 stars, based on 1 article reviews
anti med12 a300 774a antibody - by Bioz Stars, 2026-06
93/100 stars
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93
Proteintech med12
A. Volcano plot of ssGSEA on genome-wide differential effect size of CORUM complexes comparing aRMS to other non-RMS tumor cell lines. Red indicates Mediator complex. B. Distribution of CDK8 gene effect score across different cancer cell lines from the Broad Institute’s CRISPR Dependency Map (24Q2). C. Dot plot of kinase dependencies in the Broad Institute’s CRISPR Dependency Map comparing fusion-positive RMS to all other cancer cell lines. CDK8 is highlighted in red. D. Violin plots showing distribution of CCNC , MED13 , and <t>MED12</t> gene effect score from the Broad Institute’s CRISPR Dependency Map (24Q2) comparing the fusion-positive aRMS and fusion-negative eRMS with all other indicated cancer cell lines. aRMS is highlighted in red and eRMS is highlighted in blue. E. shRNA-mediated suppression of CDK8 by two different shRNAs impairs Rh30 and Rh28 aRMS cell growth in vitro . Cell numbers were determined by trypan blue live cell counting. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). F. Line graph showing mean subcutaneous tumor volume (mm3) formed by Rh28 cells after treatment with inducible knock down of CDK8 using shRNA. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). G. CRISPR-mediated knockout of CDK8 by two different gRNAs impairs Rh30 and Rh4 aRMS cell growth in vitro . Relative growth was assessed by CellTiter-Glo after CRISPR knockout. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04).
Med12, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/med12+antibody/bio_rxiv__2025__07__14__663986-296-31-32?v=Proteintech
Average 93 stars, based on 1 article reviews
med12 - by Bioz Stars, 2026-06
93/100 stars
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90
Abnova mouse anti-med12
A. Volcano plot of ssGSEA on genome-wide differential effect size of CORUM complexes comparing aRMS to other non-RMS tumor cell lines. Red indicates Mediator complex. B. Distribution of CDK8 gene effect score across different cancer cell lines from the Broad Institute’s CRISPR Dependency Map (24Q2). C. Dot plot of kinase dependencies in the Broad Institute’s CRISPR Dependency Map comparing fusion-positive RMS to all other cancer cell lines. CDK8 is highlighted in red. D. Violin plots showing distribution of CCNC , MED13 , and <t>MED12</t> gene effect score from the Broad Institute’s CRISPR Dependency Map (24Q2) comparing the fusion-positive aRMS and fusion-negative eRMS with all other indicated cancer cell lines. aRMS is highlighted in red and eRMS is highlighted in blue. E. shRNA-mediated suppression of CDK8 by two different shRNAs impairs Rh30 and Rh28 aRMS cell growth in vitro . Cell numbers were determined by trypan blue live cell counting. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). F. Line graph showing mean subcutaneous tumor volume (mm3) formed by Rh28 cells after treatment with inducible knock down of CDK8 using shRNA. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). G. CRISPR-mediated knockout of CDK8 by two different gRNAs impairs Rh30 and Rh4 aRMS cell growth in vitro . Relative growth was assessed by CellTiter-Glo after CRISPR knockout. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04).
Mouse Anti Med12, supplied by Abnova, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/med12+antibody/pmc05063716-649-49-52?v=Abnova
Average 90 stars, based on 1 article reviews
mouse anti-med12 - by Bioz Stars, 2026-06
90/100 stars
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90
Cosmo Bio USA med12
A. Volcano plot of ssGSEA on genome-wide differential effect size of CORUM complexes comparing aRMS to other non-RMS tumor cell lines. Red indicates Mediator complex. B. Distribution of CDK8 gene effect score across different cancer cell lines from the Broad Institute’s CRISPR Dependency Map (24Q2). C. Dot plot of kinase dependencies in the Broad Institute’s CRISPR Dependency Map comparing fusion-positive RMS to all other cancer cell lines. CDK8 is highlighted in red. D. Violin plots showing distribution of CCNC , MED13 , and <t>MED12</t> gene effect score from the Broad Institute’s CRISPR Dependency Map (24Q2) comparing the fusion-positive aRMS and fusion-negative eRMS with all other indicated cancer cell lines. aRMS is highlighted in red and eRMS is highlighted in blue. E. shRNA-mediated suppression of CDK8 by two different shRNAs impairs Rh30 and Rh28 aRMS cell growth in vitro . Cell numbers were determined by trypan blue live cell counting. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). F. Line graph showing mean subcutaneous tumor volume (mm3) formed by Rh28 cells after treatment with inducible knock down of CDK8 using shRNA. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). G. CRISPR-mediated knockout of CDK8 by two different gRNAs impairs Rh30 and Rh4 aRMS cell growth in vitro . Relative growth was assessed by CellTiter-Glo after CRISPR knockout. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04).
Med12, supplied by Cosmo Bio USA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/med12+antibody/pm37157807-43-55-58?v=Cosmo+Bio+USA
Average 90 stars, based on 1 article reviews
med12 - by Bioz Stars, 2026-06
90/100 stars
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Component of the Mediator complex, a coactivator involved in the regulated transcription of nearly all RNA polymerase II-dependent genes. Mediator functions as a bridge to convey information from gene-specific regulatory proteins to the basal RNA
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Component of the Mediator complex, a coactivator involved in the regulated transcription of nearly all RNA polymerase II-dependent genes. Mediator functions as a bridge to convey information from gene-specific regulatory proteins to the basal RNA
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N/A
Component of the Mediator complex, a coactivator involved in the regulated transcription of nearly all RNA polymerase II-dependent genes. Mediator functions as a bridge to convey information from gene-specific regulatory proteins to the basal RNA
  Buy from Supplier

N/A
Component of the Mediator complex, a coactivator involved in the regulated transcription of nearly all RNA polymerase II-dependent genes. Mediator functions as a bridge to convey information from gene-specific regulatory proteins to the basal RNA
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N/A
The initiation of transcription is controlled in part by a large protein assembly known as the preinitiation complex. A component of this preinitiation complex is a 1.2 MDa protein aggregate called Mediator. This Mediator component
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Image Search Results


TET3 affects DNA methylation and histone modifications of the MED12, TGFBR2, and TSP1 promoters. a UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative TET3 enrichment over input. n = 3. Red numbers indicate nucleotide positions relative to the transcriptional start sites, with PCR products depicted as red-stripped bars. b Sequences of critical transcription regulatory regions (CTRR) of MED12 , TGFBR2 , and TSP1 . The differentially methylated cytosine residues are marked in red. The red numbers mark the positions of the indicated nucleotides relative to the transcriptional start sites. c UtLM cells were transfected with siCon or siTET3 for 48 h, followed by QMSP analysis. n = 3. d UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative enrichment over input. n = 3. All data are representative of at least two independent experiments and are presented as mean ± SEM. * p < 0.05, ** p < 0.01

Journal: Oncogene

Article Title: H19 lncRNA identified as a master regulator of genes that drive uterine leiomyomas

doi: 10.1038/s41388-019-0808-4

Figure Lengend Snippet: TET3 affects DNA methylation and histone modifications of the MED12, TGFBR2, and TSP1 promoters. a UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative TET3 enrichment over input. n = 3. Red numbers indicate nucleotide positions relative to the transcriptional start sites, with PCR products depicted as red-stripped bars. b Sequences of critical transcription regulatory regions (CTRR) of MED12 , TGFBR2 , and TSP1 . The differentially methylated cytosine residues are marked in red. The red numbers mark the positions of the indicated nucleotides relative to the transcriptional start sites. c UtLM cells were transfected with siCon or siTET3 for 48 h, followed by QMSP analysis. n = 3. d UtLM cells were transfected with siCon or siTET3 for 48 h, followed by ChIP-qPCR analysis. Data are presented as mean relative enrichment over input. n = 3. All data are representative of at least two independent experiments and are presented as mean ± SEM. * p < 0.05, ** p < 0.01

Article Snippet: Antibodies for TET3 (GeneTex, GTX121453; used at a dilution of 1/500), TGFBR2 (Abcam, ab184948; used at a dilution of 1/1000), TSP1 (Abcam, ab85762; used at a dilution of 1/500), MED12 (Novus Biological, NB100–2357; used at a dilution of 1/500), HMGA2 (Proteintech, 20795–1-AP; used at a dilution of 1/500), GRAF1 (Cell Signaling, 8802; used at a dilution of 1/500), SPARC (Cell Signaling, 8725; used at a dilution of 1/500), COL3A1 (LS-Bio, LS-C159386; used at a dilution of 1/1000), COL4A1 (LS-Bio, LS-C100552; used at a dilution of 1/500), COL5A2 (Origene, TA809611; used at a dilution of 1/500), and GAPDH (Abcam, ab128915; used at a dilution of 1/10000) were purchased.

Techniques: DNA Methylation Assay, Transfection, ChIP-qPCR, Methylation

H19 and TET3 co-express with fibroid-promoting genes in vivo. a , c RT-qPCR analyses were performed on RNAs extracted from human fibroids and matched myometrium tissues. Spearman’s correlation showed positive correlations between expression of H19 and TET3 ( a , left panel), as well as TET3 and its target genes MED12 , TGFBR2 , and TSP1 ( c ) in a statistically significant manner. No correlation between expression of H19 and HMGA2 at the RNA level was detected ( a , right panel). Spearman’s correlation coefficient, p -values, and sample numbers are presented. b Results of western blotting analysis of HMGA2 in human fibroids and matched myometrium. n = 3. Data are representative of two independent experiments and are presented as mean ± SEM

Journal: Oncogene

Article Title: H19 lncRNA identified as a master regulator of genes that drive uterine leiomyomas

doi: 10.1038/s41388-019-0808-4

Figure Lengend Snippet: H19 and TET3 co-express with fibroid-promoting genes in vivo. a , c RT-qPCR analyses were performed on RNAs extracted from human fibroids and matched myometrium tissues. Spearman’s correlation showed positive correlations between expression of H19 and TET3 ( a , left panel), as well as TET3 and its target genes MED12 , TGFBR2 , and TSP1 ( c ) in a statistically significant manner. No correlation between expression of H19 and HMGA2 at the RNA level was detected ( a , right panel). Spearman’s correlation coefficient, p -values, and sample numbers are presented. b Results of western blotting analysis of HMGA2 in human fibroids and matched myometrium. n = 3. Data are representative of two independent experiments and are presented as mean ± SEM

Article Snippet: Antibodies for TET3 (GeneTex, GTX121453; used at a dilution of 1/500), TGFBR2 (Abcam, ab184948; used at a dilution of 1/1000), TSP1 (Abcam, ab85762; used at a dilution of 1/500), MED12 (Novus Biological, NB100–2357; used at a dilution of 1/500), HMGA2 (Proteintech, 20795–1-AP; used at a dilution of 1/500), GRAF1 (Cell Signaling, 8802; used at a dilution of 1/500), SPARC (Cell Signaling, 8725; used at a dilution of 1/500), COL3A1 (LS-Bio, LS-C159386; used at a dilution of 1/1000), COL4A1 (LS-Bio, LS-C100552; used at a dilution of 1/500), COL5A2 (Origene, TA809611; used at a dilution of 1/500), and GAPDH (Abcam, ab128915; used at a dilution of 1/10000) were purchased.

Techniques: In Vivo, Quantitative RT-PCR, Expressing, Western Blot

A. Volcano plot of ssGSEA on genome-wide differential effect size of CORUM complexes comparing aRMS to other non-RMS tumor cell lines. Red indicates Mediator complex. B. Distribution of CDK8 gene effect score across different cancer cell lines from the Broad Institute’s CRISPR Dependency Map (24Q2). C. Dot plot of kinase dependencies in the Broad Institute’s CRISPR Dependency Map comparing fusion-positive RMS to all other cancer cell lines. CDK8 is highlighted in red. D. Violin plots showing distribution of CCNC , MED13 , and MED12 gene effect score from the Broad Institute’s CRISPR Dependency Map (24Q2) comparing the fusion-positive aRMS and fusion-negative eRMS with all other indicated cancer cell lines. aRMS is highlighted in red and eRMS is highlighted in blue. E. shRNA-mediated suppression of CDK8 by two different shRNAs impairs Rh30 and Rh28 aRMS cell growth in vitro . Cell numbers were determined by trypan blue live cell counting. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). F. Line graph showing mean subcutaneous tumor volume (mm3) formed by Rh28 cells after treatment with inducible knock down of CDK8 using shRNA. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). G. CRISPR-mediated knockout of CDK8 by two different gRNAs impairs Rh30 and Rh4 aRMS cell growth in vitro . Relative growth was assessed by CellTiter-Glo after CRISPR knockout. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04).

Journal: bioRxiv

Article Title: CDK8 Inhibition Releases the Muscle Differentiation Block in Fusion-driven Alveolar Rhabdomyosarcoma

doi: 10.1101/2025.07.14.663986

Figure Lengend Snippet: A. Volcano plot of ssGSEA on genome-wide differential effect size of CORUM complexes comparing aRMS to other non-RMS tumor cell lines. Red indicates Mediator complex. B. Distribution of CDK8 gene effect score across different cancer cell lines from the Broad Institute’s CRISPR Dependency Map (24Q2). C. Dot plot of kinase dependencies in the Broad Institute’s CRISPR Dependency Map comparing fusion-positive RMS to all other cancer cell lines. CDK8 is highlighted in red. D. Violin plots showing distribution of CCNC , MED13 , and MED12 gene effect score from the Broad Institute’s CRISPR Dependency Map (24Q2) comparing the fusion-positive aRMS and fusion-negative eRMS with all other indicated cancer cell lines. aRMS is highlighted in red and eRMS is highlighted in blue. E. shRNA-mediated suppression of CDK8 by two different shRNAs impairs Rh30 and Rh28 aRMS cell growth in vitro . Cell numbers were determined by trypan blue live cell counting. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). F. Line graph showing mean subcutaneous tumor volume (mm3) formed by Rh28 cells after treatment with inducible knock down of CDK8 using shRNA. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04). G. CRISPR-mediated knockout of CDK8 by two different gRNAs impairs Rh30 and Rh4 aRMS cell growth in vitro . Relative growth was assessed by CellTiter-Glo after CRISPR knockout. Data are presented as mean ± SEM (*: p <=5.0e-02, **: p <=1.0e-02, ***: p <= 1.0e-03, ****: p <=1.0e-04).

Article Snippet: Primary antibodies used for CUT7RUN in this study includes: CDK8 (ProteinTech, #22067), SIX4 (Santa Cruz Biotechnology, #SC-390779), HA (Cell Signaling Technology, #C29F4-3724), TADA2B (ProteinTech, #17367), CCNC (ProteinTech, #26464), MED13 (ProteinTech, #26464), MED12 (ProteinTech, #20028), H3K4me3 (EpiCypher, #13-0041), H3K27ac (Cell Signaling Technology, #8173S).

Techniques: Genome Wide, CRISPR, shRNA, In Vitro, Cell Counting, Knockdown, Knock-Out

A. Box plots showing construct-level Z-score averages for individual genes in the Mediator complex from a genome-wide CRISPR-Cas9 screen in Rh30 cells treated with DMSO (gray/black) or BI-1347 (blue/red) for 14 days (gray and blue) or 21 days (black and red). Genes are grouped by Mediator functional modules. B. Live cell proliferation assessed by Incucyte for BI-1347+/-sgCDK8 (red) and BI-1347+/-sgCCNC (blue). C. MA plot showing changes of CDK8 binding site assessed by CUT&RUN after 24 hrs of BI-1347 treatment. Significantly increased CDK8 peaks are highlighted in red; significantly decreased CDK8 peaks are highlighted in blue (padj<0.05, fold change>1.5 or <-1.5). D. Motif analysis of the regions with increased CDK8 DNA binding peaks from CUT&RUN analysis in Rh30 cells. E. Heatmaps showing chromatin occupancy of CDK8, CCNC, MED12, and MED13 at regions with upregulated SIX4 binding at 24 hrs of DMSO or BI-1347 treatment. F. IGV gene tracks showing the PRO-seq, CDK8, CCNC, MED12, and MED13 binding at the RUNX1 gene body and enhancer loci at indicated time points after BI-1347 treatment. G. Heatmaps of CDK8, CCNC, MED12, and MED13 CUT&RUN signal around PAX3::FOXO1-regulated enhancers before and after 24 hrs of BI-1347 treatment. H. IGV gene tracks showing the binding of CDK8, CCNC, MED12, and MED13 at a RUNX2 super enhancer cluster at indicated time points after BI-1347 treatment.

Journal: bioRxiv

Article Title: CDK8 Inhibition Releases the Muscle Differentiation Block in Fusion-driven Alveolar Rhabdomyosarcoma

doi: 10.1101/2025.07.14.663986

Figure Lengend Snippet: A. Box plots showing construct-level Z-score averages for individual genes in the Mediator complex from a genome-wide CRISPR-Cas9 screen in Rh30 cells treated with DMSO (gray/black) or BI-1347 (blue/red) for 14 days (gray and blue) or 21 days (black and red). Genes are grouped by Mediator functional modules. B. Live cell proliferation assessed by Incucyte for BI-1347+/-sgCDK8 (red) and BI-1347+/-sgCCNC (blue). C. MA plot showing changes of CDK8 binding site assessed by CUT&RUN after 24 hrs of BI-1347 treatment. Significantly increased CDK8 peaks are highlighted in red; significantly decreased CDK8 peaks are highlighted in blue (padj<0.05, fold change>1.5 or <-1.5). D. Motif analysis of the regions with increased CDK8 DNA binding peaks from CUT&RUN analysis in Rh30 cells. E. Heatmaps showing chromatin occupancy of CDK8, CCNC, MED12, and MED13 at regions with upregulated SIX4 binding at 24 hrs of DMSO or BI-1347 treatment. F. IGV gene tracks showing the PRO-seq, CDK8, CCNC, MED12, and MED13 binding at the RUNX1 gene body and enhancer loci at indicated time points after BI-1347 treatment. G. Heatmaps of CDK8, CCNC, MED12, and MED13 CUT&RUN signal around PAX3::FOXO1-regulated enhancers before and after 24 hrs of BI-1347 treatment. H. IGV gene tracks showing the binding of CDK8, CCNC, MED12, and MED13 at a RUNX2 super enhancer cluster at indicated time points after BI-1347 treatment.

Article Snippet: Primary antibodies used for CUT7RUN in this study includes: CDK8 (ProteinTech, #22067), SIX4 (Santa Cruz Biotechnology, #SC-390779), HA (Cell Signaling Technology, #C29F4-3724), TADA2B (ProteinTech, #17367), CCNC (ProteinTech, #26464), MED13 (ProteinTech, #26464), MED12 (ProteinTech, #20028), H3K4me3 (EpiCypher, #13-0041), H3K27ac (Cell Signaling Technology, #8173S).

Techniques: Construct, Genome Wide, CRISPR, Functional Assay, Binding Assay