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sirna  (MedChemExpress)


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    Structured Review

    MedChemExpress sirna
    Sirna, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 95/100, based on 27 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/sirnas/siRNA%2FmiRNA+Transfection+Reagent/pm42566995-81-21-30
    Average 95 stars, based on 27 article reviews
    sirna - by Bioz Stars, 2026-09
    95/100 stars

    Images

    Related Articles

    Negative Control:

    Article Title: Exosomes From Hepatitis B Virus-Infected Hepatocytes Induce Liver Fibrosis Through METTL3-Mediated m6A Modification of P2RX7 mRNA.
    Article Snippet: Exosomes derived from hepatitis B virus (HBV)‐infected hepatocytes (HBV‐Exo) promote liver fibrosis.. Emerging evidence implicates METTL3 and P2RX7 as critical drivers of liver fibrosis.. However, the molecular mechanisms by which HBV‐Exo drive hepatic fibrosis remain poorly understood.

    Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning
    Article Snippet: .. The sense and antisense sequences of the siRNAs (including the non-targeting negative control; MedChemExpress) are shown in . ..

    Control:

    Article Title: Exosomes From Hepatitis B Virus-Infected Hepatocytes Induce Liver Fibrosis Through METTL3-Mediated m6A Modification of P2RX7 mRNA.
    Article Snippet: Exosomes derived from hepatitis B virus (HBV)‐infected hepatocytes (HBV‐Exo) promote liver fibrosis.. Emerging evidence implicates METTL3 and P2RX7 as critical drivers of liver fibrosis.. However, the molecular mechanisms by which HBV‐Exo drive hepatic fibrosis remain poorly understood.

    Article Title: Graded Notch Signaling Functions as a Rheostat of Lineage Plasticity and Therapy Resistance in Prostate Cancer
    Article Snippet: .. A pool of siRNAs targeting human NOTCH1, NOTCH2, HES1, and a non-targeting control pool were used (MedChemExpress; HY-RS09445, HY-RS09448, HY-RS06134). ..

    Plasmid Preparation:

    Article Title: Exosomes From Hepatitis B Virus-Infected Hepatocytes Induce Liver Fibrosis Through METTL3-Mediated m6A Modification of P2RX7 mRNA.
    Article Snippet: Exosomes derived from hepatitis B virus (HBV)‐infected hepatocytes (HBV‐Exo) promote liver fibrosis.. Emerging evidence implicates METTL3 and P2RX7 as critical drivers of liver fibrosis.. However, the molecular mechanisms by which HBV‐Exo drive hepatic fibrosis remain poorly understood.

    Expressing:

    Article Title: Exosomes From Hepatitis B Virus-Infected Hepatocytes Induce Liver Fibrosis Through METTL3-Mediated m6A Modification of P2RX7 mRNA.
    Article Snippet: Exosomes derived from hepatitis B virus (HBV)‐infected hepatocytes (HBV‐Exo) promote liver fibrosis.. Emerging evidence implicates METTL3 and P2RX7 as critical drivers of liver fibrosis.. However, the molecular mechanisms by which HBV‐Exo drive hepatic fibrosis remain poorly understood.

    Sequencing:

    Article Title: Exosomes From Hepatitis B Virus-Infected Hepatocytes Induce Liver Fibrosis Through METTL3-Mediated m6A Modification of P2RX7 mRNA.
    Article Snippet: Exosomes derived from hepatitis B virus (HBV)‐infected hepatocytes (HBV‐Exo) promote liver fibrosis.. Emerging evidence implicates METTL3 and P2RX7 as critical drivers of liver fibrosis.. However, the molecular mechanisms by which HBV‐Exo drive hepatic fibrosis remain poorly understood.

    Viability Assay:

    Article Title: Histone acetyltransferase Kat2a regulates glioma stem cell differentiation via Hsp90aa1-dependent oxidative phosphorylation.
    Article Snippet: Glioblastoma (GBM) is mainly dependent on glioma stem cells (GSCs) and aberrant epigenetic modifications for its malignancy.. Lysine acetyltransferase 2A (KAT2A) is involved in histone acetylation and has been implicated in stem cell differentiation and metabolic plasticity; however, its precise role in GSC differentiation remains elusive.. In this study, we investigated the mechanisms of Kat2a regulates GSC differentiation and metabolic reprogramming.

    CCK-8 Assay:

    Article Title: Histone acetyltransferase Kat2a regulates glioma stem cell differentiation via Hsp90aa1-dependent oxidative phosphorylation.
    Article Snippet: Glioblastoma (GBM) is mainly dependent on glioma stem cells (GSCs) and aberrant epigenetic modifications for its malignancy.. Lysine acetyltransferase 2A (KAT2A) is involved in histone acetylation and has been implicated in stem cell differentiation and metabolic plasticity; however, its precise role in GSC differentiation remains elusive.. In this study, we investigated the mechanisms of Kat2a regulates GSC differentiation and metabolic reprogramming.

    Concentration Assay:

    Article Title: FAXC depletion contributes to tumor progression via the c-MET pathway in renal cell carcinoma.
    Article Snippet: Renal cell carcinoma (RCC), the most common types of kidney cancer, still requires novel therapeutic targets to improve patients’ outcome.. In this study, we focus on Failed Axon Connections Homolog (FAXC) gene, a newly identified and potentially important cancer target, and investigated its detailed role in RCC.. In RCC cells, FAXC knockdown resulted in increased cell proliferation, and elevated c-MET expression and phosphorylation.

    Crystal Violet Assay:

    Article Title: SIRT5-mediated BCAT1 desuccinylation and stabilization leads to ferroptosis insensitivity and promotes cell proliferation in glioma
    Article Snippet: Plasmids were transfected using MegaTran 2.0 plasmid DNA transfection reagent (Origene, #TT210003), respectively. .. In the Crystal violet assay, cells were initially seeded into a 24-well plate (NEST Biotechnology, Wuxi, China; #702001) and subjected to transfection with the specified plasmids or siRNAs, or treated with various concentrations of MC3482 (MedChemExpress, #HY-112587). ..

    Article Title: SIRT5-mediated BCAT1 desuccinylation and stabilization leads to ferroptosis insensitivity and promotes cell proliferation in glioma.
    Article Snippet: Plasmids were transfected using MegaTran 2.0 plasmid DNA transfection reagent (Origene, #TT210003), respectively. .. In the Crystal violet assay, cells were initially seeded into a 24-well plate (NEST Biotechnology, Wuxi, China; #702001) and subjected to transfection with the specified plasmids or siRNAs, or treated with various concentrations of MC3482 (MedChemExpress, #HY-112587). ..

    Transfection:

    Article Title: SIRT5-mediated BCAT1 desuccinylation and stabilization leads to ferroptosis insensitivity and promotes cell proliferation in glioma
    Article Snippet: Plasmids were transfected using MegaTran 2.0 plasmid DNA transfection reagent (Origene, #TT210003), respectively. .. In the Crystal violet assay, cells were initially seeded into a 24-well plate (NEST Biotechnology, Wuxi, China; #702001) and subjected to transfection with the specified plasmids or siRNAs, or treated with various concentrations of MC3482 (MedChemExpress, #HY-112587). ..

    Article Title: TRIM26-mediated NKRF degradation drives Osimertinib resistance through SNRPD2-dependent stress granule formation in lung adenocarcinoma.
    Article Snippet: .. Briefly, cells were transfected with the indicated plasmids or siRNAs, and subsequently exposed to 50 μg/mL CHX (#HY-12320, MedChemExpress) to inhibit de novo protein synthesis. ..

    Article Title: SIRT5-mediated BCAT1 desuccinylation and stabilization leads to ferroptosis insensitivity and promotes cell proliferation in glioma.
    Article Snippet: Plasmids were transfected using MegaTran 2.0 plasmid DNA transfection reagent (Origene, #TT210003), respectively. .. In the Crystal violet assay, cells were initially seeded into a 24-well plate (NEST Biotechnology, Wuxi, China; #702001) and subjected to transfection with the specified plasmids or siRNAs, or treated with various concentrations of MC3482 (MedChemExpress, #HY-112587). ..



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    ICA II attenuates radiation-induced cellular damage by disrupting FN1–Itgαvβ6 binding and regulating the PI3K-AKT signaling pathway in bladder cells. (A) Representative surface plasmon resonance (SPR) sensorgrams and kinetic fitting curves showing the binding of ICA II to Itgαvβ6. (B) SPR sensorgrams and kinetic fitting curves for the interaction between FN1 and Itgαvβ6. (C) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 10 μM ICA II. (D) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 100 μM ICA II. (E) Effects of different radiation doses on SV-HUC-1 cell proliferation. (F) Effects of different ICA II concentrations on SV-HUC-1 cell proliferation. (G) Effects of different radiation doses on human bladder fibroblast (HBF) cell proliferation. (H) Effects of different ICA II concentrations on HBF cell proliferation. (I) Effect of ICA II on the repair of radiation-induced damage in SV-HUC-1 cells, as shown by proliferation and morphological changes after treatment. (J) Inhibitory effect of ICA II on the proliferation of HBF cells caused by radiation damage, indicating reduced fibroblast proliferation after ICA II treatment. (K and L) Western blot analysis of the effect of ICA II on the protein expression of Itgαvβ6 in SV-HUC-1 cells; the results revealed a dose-dependent decrease in expression following ICA II treatment. (M and N) Western blot analysis of the effect of ICA II on the protein expression of FN1 in HBF cells, which revealed a significant reduction in FN1 expression after ICA II treatment. (O) Enzyme-Linked Immunosorbent Assay detection of FN1 expression levels in the culture supernatant of HBF cells, confirming the suppression of FN1 secretion in response to ICA II treatment. (P) RT‒qPCR analysis was used to determine the silencing efficiency of FN1-targeted <t>siRNA</t> (siFN1), which successfully knocked down FN1 expression at both the mRNA and protein levels. (Q) Co-immunoprecipitation showing the interaction between FN1 and Itgαv/Itgβ6 in SV-HUC-1 cells treated with fibroblast-conditioned media. (R and S) ICA II treatment reduced EMT and fibrosis-related protein expression and inhibited PI3K-AKT pathway activation in radiation-damaged cells, suggesting that ICA II plays a protective role through regulating FN1 and Itgαvβ6 interactions. Statistical significance is indicated using standard notation.
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    Image Search Results


    NRDC is a direct target of miR-136-3p in human myotubes. Skeletal muscle NRDC mRNA is responsive to training and inactivity. (A) Tissue mRNA expression of NRDC from the Human Protein Atlas database showing enriched expression of NRDC in human skeletal muscle. (B) The miR-136-3p target site in the NRDC gene is highly conserved in mammals. (C) Luciferase activity in HEK293 cells co-transfected the NRDC 3’UTR and miR-136-3p with or without anti-miR136-3p inhibitors. miR-136-3p transfection downregulates NRDC (D) mRNA and (E) representative image of protein abundance in human myotubes. (F) Publicly available data ( GSE14413 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 6 weeks of endurance training ( n = 8). (G) Publicly available data ( GSE120862 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 2 months of aerobic training ( n = 10). (H) Publicly available data ( GSE14901 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 14 days of immobilization ( n = 24). * p < 0.05, ** p < 0.005. GSE = gene set enrichment; HEK293 = human embryonic kidney; miR = microRNA; NC = negative control; NRDC = nardilysin convertase; nTPM = normalized transcripts per million; si NRDC = small interfering RNA of NRDC ; UTR = untranslated region.

    Journal: Journal of Sport and Health Science

    Article Title: Exercise training-induced extracellular miR-136-3p modulates glucose uptake and myogenesis through targeting of NRDC in human skeletal muscle

    doi: 10.1016/j.jshs.2025.101091

    Figure Lengend Snippet: NRDC is a direct target of miR-136-3p in human myotubes. Skeletal muscle NRDC mRNA is responsive to training and inactivity. (A) Tissue mRNA expression of NRDC from the Human Protein Atlas database showing enriched expression of NRDC in human skeletal muscle. (B) The miR-136-3p target site in the NRDC gene is highly conserved in mammals. (C) Luciferase activity in HEK293 cells co-transfected the NRDC 3’UTR and miR-136-3p with or without anti-miR136-3p inhibitors. miR-136-3p transfection downregulates NRDC (D) mRNA and (E) representative image of protein abundance in human myotubes. (F) Publicly available data ( GSE14413 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 6 weeks of endurance training ( n = 8). (G) Publicly available data ( GSE120862 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 2 months of aerobic training ( n = 10). (H) Publicly available data ( GSE14901 ) showing NRDC mRNA expression in human skeletal muscle of healthy young participants after 14 days of immobilization ( n = 24). * p < 0.05, ** p < 0.005. GSE = gene set enrichment; HEK293 = human embryonic kidney; miR = microRNA; NC = negative control; NRDC = nardilysin convertase; nTPM = normalized transcripts per million; si NRDC = small interfering RNA of NRDC ; UTR = untranslated region.

    Article Snippet: MiR-136-3p was labeled with Cy3 using Silencer small interfering RNA (siRNA) Labeling Kit with Cy3 Dye (Thermo Fisher Scientific) and loaded into exosome-enriched EVs with Exo-Fect siRNA/miRNA Transfection Reagent (System Biosciences, Palo Alto, CA, USA).

    Techniques: Expressing, Luciferase, Activity Assay, Transfection, Quantitative Proteomics, Negative Control, Small Interfering RNA

    Cellular metabolism in human myotubes after miR-136-3p transfection or NRDC silencing. Mitochondrial respiration in miR-136-3p-transfected or NRDC- silenced human myotubes was monitored using the Mitochondrial Stress Test. (A) OCR and (B) ECAR were measured using the Seahorse XFe24 Extracellular Flux Analyzer. The trace shows representative data. (C) Quantification of the mitochondrial respiration data for basal respiration, maximal respiration, ATP production, and spare respiratory capacity obtained from 3 independent experiments. Human myotubes were transfected with miR-136-3p or siRNA against NRDC before determination of (D) uptake of radiolabeled glucose, (E) rates of radiolabeled glucose oxidation, (F) conversion of radiolabeled glucose into glycogen, (G) rate of radiolabeled palmitic acid oxidation, (H) protein synthesis as assessed by incorporation of puromycin, and (I) lactate release into the media. Results are expressed as mean ± standard error of the mean. * p < 0.05, ** p < 0.005 vs. control cells. ECAR = extracellular acidification rate; FCCP = carbonyl cyanide-p-trifluoromethoxyphenylhydrazone; miR = microRNA; NC = negative control; NRDC = nardilysin convertase; ns = no significance; OCR = oxygen consumption rate; OigoA = oligomycin A; Rot/AA = rotenone and antimycin A; si NRDC = small interfering RNA of NRDC; siRNA = small interfering RNA; scr = negative control for small interfering RNA.

    Journal: Journal of Sport and Health Science

    Article Title: Exercise training-induced extracellular miR-136-3p modulates glucose uptake and myogenesis through targeting of NRDC in human skeletal muscle

    doi: 10.1016/j.jshs.2025.101091

    Figure Lengend Snippet: Cellular metabolism in human myotubes after miR-136-3p transfection or NRDC silencing. Mitochondrial respiration in miR-136-3p-transfected or NRDC- silenced human myotubes was monitored using the Mitochondrial Stress Test. (A) OCR and (B) ECAR were measured using the Seahorse XFe24 Extracellular Flux Analyzer. The trace shows representative data. (C) Quantification of the mitochondrial respiration data for basal respiration, maximal respiration, ATP production, and spare respiratory capacity obtained from 3 independent experiments. Human myotubes were transfected with miR-136-3p or siRNA against NRDC before determination of (D) uptake of radiolabeled glucose, (E) rates of radiolabeled glucose oxidation, (F) conversion of radiolabeled glucose into glycogen, (G) rate of radiolabeled palmitic acid oxidation, (H) protein synthesis as assessed by incorporation of puromycin, and (I) lactate release into the media. Results are expressed as mean ± standard error of the mean. * p < 0.05, ** p < 0.005 vs. control cells. ECAR = extracellular acidification rate; FCCP = carbonyl cyanide-p-trifluoromethoxyphenylhydrazone; miR = microRNA; NC = negative control; NRDC = nardilysin convertase; ns = no significance; OCR = oxygen consumption rate; OigoA = oligomycin A; Rot/AA = rotenone and antimycin A; si NRDC = small interfering RNA of NRDC; siRNA = small interfering RNA; scr = negative control for small interfering RNA.

    Article Snippet: MiR-136-3p was labeled with Cy3 using Silencer small interfering RNA (siRNA) Labeling Kit with Cy3 Dye (Thermo Fisher Scientific) and loaded into exosome-enriched EVs with Exo-Fect siRNA/miRNA Transfection Reagent (System Biosciences, Palo Alto, CA, USA).

    Techniques: Transfection, Control, Negative Control, Small Interfering RNA

    (A) UMAP projection of all endothelial cells from Tsukui et al.(22) (light blue-healthy red-IPF)(4,338 cells) (B) Volcano plot comparing genes differentially expressed across healthy and IPF endothelial cells. (C) UMAP projection of all endothelial cells from Tsukui et al. and proportion analysis (D) Heatmap of immune, hypoxic and cytoskeletal genes enriched in ACKR1pos VECs. (E) UMAP projection with gene expression for ACKR1 and COL15A1 split between healthy and IPF cells. (F) IF for ACKR1 and SELP in human IPF precision cut lung slices (large scale 50µm, small scale 20µm) (G) IF for ACKR1 and VCAM1 in human IPF precision cut lung slices (large scale 50µm, small scale 10µm) (H) IF for ACKR1 and HIF1A in healthy and IPF lungs (large scale 50µm, small scale 5µm). (I) Schematic for precision cut lung slices (F) IF for ACKR1, CD45 and COL1A1 in human IPF precision cut lung slices (large scale 50µm, small scale 20µm)(FF=Fibroblastic Foci). (K) IF for ACKR1 and aSMA in healthy and IPF lungs (large scale 50µm)

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) UMAP projection of all endothelial cells from Tsukui et al.(22) (light blue-healthy red-IPF)(4,338 cells) (B) Volcano plot comparing genes differentially expressed across healthy and IPF endothelial cells. (C) UMAP projection of all endothelial cells from Tsukui et al. and proportion analysis (D) Heatmap of immune, hypoxic and cytoskeletal genes enriched in ACKR1pos VECs. (E) UMAP projection with gene expression for ACKR1 and COL15A1 split between healthy and IPF cells. (F) IF for ACKR1 and SELP in human IPF precision cut lung slices (large scale 50µm, small scale 20µm) (G) IF for ACKR1 and VCAM1 in human IPF precision cut lung slices (large scale 50µm, small scale 10µm) (H) IF for ACKR1 and HIF1A in healthy and IPF lungs (large scale 50µm, small scale 5µm). (I) Schematic for precision cut lung slices (F) IF for ACKR1, CD45 and COL1A1 in human IPF precision cut lung slices (large scale 50µm, small scale 20µm)(FF=Fibroblastic Foci). (K) IF for ACKR1 and aSMA in healthy and IPF lungs (large scale 50µm)

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Gene Expression

    (A) UMAP projection of all endothelial cell markers from Tsukui et al. (B) Differentially expressed genes between all endothelial subpopulations. (C) Violin plot with ACKR1 normalized expression in healthy and IPF endothelial cells. (D) Violin plot with ACKR1 normalized expression across all lung lineages. (E) GO enrichment of upregulated and downregulated genes.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) UMAP projection of all endothelial cell markers from Tsukui et al. (B) Differentially expressed genes between all endothelial subpopulations. (C) Violin plot with ACKR1 normalized expression in healthy and IPF endothelial cells. (D) Violin plot with ACKR1 normalized expression across all lung lineages. (E) GO enrichment of upregulated and downregulated genes.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Expressing

    (A) Circle plot showing CellChat analysis of outgoing and incoming signaling in IPF lungs and (B) heatmap depicting relative interaction strength between senders and receivers. (line thickness indicates relative communication probability). (C) Enrichment and spatial mapping of the ACKR1 VECs gene signature in human lung spatial transcriptomics data (Franzén et al.(29)). (D) Heatmap displaying the mean spatial proximity scores between source endothelial populations CPE+ / CDH5+ double-positive spots in Healthy Controls (left) and ACKR1 signature-scoring spots in IPF(right) and various target cell types. (E) Enrichment of the ACKR1 VEC-CTHRC1 gene signature across healthy and IPF samples from the Franzén et al (29) dataset and proximity quantification. F) Enrichment of the ACKR1 VEC-CD14 gene signature across healthy and IPF samples from the Franzén et al (29) dataset and proximity quantification. (G) IF for ACKR1 in an IPF lung (large scale 500µm, small scale 50µm). (H) HE, ACKR1 VEC signature enrichment and fibrosis score enrichment on mild and severe IPF biopsy spatial RNA. Statistical significance: (C,E,F) non-parametric Wilcoxon rank-sum test; (D) two-sided Mann–Whitney U test.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Circle plot showing CellChat analysis of outgoing and incoming signaling in IPF lungs and (B) heatmap depicting relative interaction strength between senders and receivers. (line thickness indicates relative communication probability). (C) Enrichment and spatial mapping of the ACKR1 VECs gene signature in human lung spatial transcriptomics data (Franzén et al.(29)). (D) Heatmap displaying the mean spatial proximity scores between source endothelial populations CPE+ / CDH5+ double-positive spots in Healthy Controls (left) and ACKR1 signature-scoring spots in IPF(right) and various target cell types. (E) Enrichment of the ACKR1 VEC-CTHRC1 gene signature across healthy and IPF samples from the Franzén et al (29) dataset and proximity quantification. F) Enrichment of the ACKR1 VEC-CD14 gene signature across healthy and IPF samples from the Franzén et al (29) dataset and proximity quantification. (G) IF for ACKR1 in an IPF lung (large scale 500µm, small scale 50µm). (H) HE, ACKR1 VEC signature enrichment and fibrosis score enrichment on mild and severe IPF biopsy spatial RNA. Statistical significance: (C,E,F) non-parametric Wilcoxon rank-sum test; (D) two-sided Mann–Whitney U test.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Spatial Transcriptomics, MANN-WHITNEY

    (A) Spatial RNA sequencing experimental set up. (B) Bar plot of average gene content of spatial RNA sequencing samples. (C) Bar plot of spot count of spatial RNA sequencing samples. ( D ) Spatial mapping and quantification of proximity between ACKR1 VECs and ligands in healthy and IPF lungs from the Franzén et al (29) dataset. Statistical significance was evaluated using a non-parametric Wilcoxon rank-sum test.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Spatial RNA sequencing experimental set up. (B) Bar plot of average gene content of spatial RNA sequencing samples. (C) Bar plot of spot count of spatial RNA sequencing samples. ( D ) Spatial mapping and quantification of proximity between ACKR1 VECs and ligands in healthy and IPF lungs from the Franzén et al (29) dataset. Statistical significance was evaluated using a non-parametric Wilcoxon rank-sum test.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: RNA Sequencing

    (A) Circle plot depicting CellChat analysis of outgoing and incoming signaling in IPF lungs and heatmap showing relative interaction strength between senders and receivers (line thickness indicates relative communication probability). (B) Bubble plot with Ligand-Receptor pair interactions between ACKR1to macrophages (left), Macrophages to ACKR1 VECs and Monocytes to ACKR1 VECs. Color indicates normalized interaction strength. (C) IF for ACKR1 and CD68 in IPF precision cut lung slices (scale 50µm). (D) IF for ACKR1 and CCR5 in IPF precision cut lung slices (scale 50µm). (E) IF for ACKR1 and SPP1 in IPF precision cut lung slices (scale 50µm).

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Circle plot depicting CellChat analysis of outgoing and incoming signaling in IPF lungs and heatmap showing relative interaction strength between senders and receivers (line thickness indicates relative communication probability). (B) Bubble plot with Ligand-Receptor pair interactions between ACKR1to macrophages (left), Macrophages to ACKR1 VECs and Monocytes to ACKR1 VECs. Color indicates normalized interaction strength. (C) IF for ACKR1 and CD68 in IPF precision cut lung slices (scale 50µm). (D) IF for ACKR1 and CCR5 in IPF precision cut lung slices (scale 50µm). (E) IF for ACKR1 and SPP1 in IPF precision cut lung slices (scale 50µm).

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques:

    (A) Schematic for ACKR1 + VEC isolation (B) Brightfield image of ACKR1 + and ACKR1 - ECs. (scale 125 pixels) (C) Western blot for ACKR1 (D) Boxplots showing normalized mRNA expression for inflammatory and hypoxic markers (E) Schematic for conditional media experimental set up ( F) Boxplots showing normalized mRNA expression for CTHRC1, COL1A1 and ACTA2 (G) Schematic for immune cell adhesion experimental set up (H) Fluorescently labeled THP1 cells adhered to ACKR1 - and ACKR1 + ECs and quantification of adhered cells (scale 250 pixels). (I) Schematic for immune cell migration experimental set up (J) Quantification of migrated THP1 cells. Statistical analysis: (D,H,J) two-tailed Student’s t-test and (F) a one-way ANOVA.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Schematic for ACKR1 + VEC isolation (B) Brightfield image of ACKR1 + and ACKR1 - ECs. (scale 125 pixels) (C) Western blot for ACKR1 (D) Boxplots showing normalized mRNA expression for inflammatory and hypoxic markers (E) Schematic for conditional media experimental set up ( F) Boxplots showing normalized mRNA expression for CTHRC1, COL1A1 and ACTA2 (G) Schematic for immune cell adhesion experimental set up (H) Fluorescently labeled THP1 cells adhered to ACKR1 - and ACKR1 + ECs and quantification of adhered cells (scale 250 pixels). (I) Schematic for immune cell migration experimental set up (J) Quantification of migrated THP1 cells. Statistical analysis: (D,H,J) two-tailed Student’s t-test and (F) a one-way ANOVA.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Isolation, Western Blot, Expressing, Labeling, Migration, Two Tailed Test

    (A) Boxplot showing normalized mRNA expression for ACKR1 (B) Fluorescent labeled THP1 cells adhered to Scramble or ACKR1-siRNA treated ACKR1pos ECs and quantification (scale 250 pixels) (C) Boxplots showing normalized mRNA expression for COL1A1, FN1, CTHRC1, ACTA2 and TNC (D) Schematic for collagen contraction assay experimental set up (E) Representative images of collagen contraction and quantification of collagen area (F) Heatmap for immune recruiting, profibrotic and cytoskeletal genes (G) GO enrichment of upregulated/downregulated genes. (H) IF staining for p65 and ACKR1 in healthy and IPF lungs (top scale 20µm, bottom scale 5µm). (I) Western blot for P-p65 and p65 Statistical significance: Statistical analysis: (B,C) two-tailed Student’s t-test and (A,E) a one-way ANOVA.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Boxplot showing normalized mRNA expression for ACKR1 (B) Fluorescent labeled THP1 cells adhered to Scramble or ACKR1-siRNA treated ACKR1pos ECs and quantification (scale 250 pixels) (C) Boxplots showing normalized mRNA expression for COL1A1, FN1, CTHRC1, ACTA2 and TNC (D) Schematic for collagen contraction assay experimental set up (E) Representative images of collagen contraction and quantification of collagen area (F) Heatmap for immune recruiting, profibrotic and cytoskeletal genes (G) GO enrichment of upregulated/downregulated genes. (H) IF staining for p65 and ACKR1 in healthy and IPF lungs (top scale 20µm, bottom scale 5µm). (I) Western blot for P-p65 and p65 Statistical significance: Statistical analysis: (B,C) two-tailed Student’s t-test and (A,E) a one-way ANOVA.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Expressing, Labeling, Contraction Assay, Staining, Western Blot, Two Tailed Test

    (A) IF for ACKR1 and Slc6a2 in bleomycin treated mouse lungs (scale 20 µm). (B) IF for ACKR1 and CD45 in bleomycin treated mouse lungs (large scale 20µm, small scale 10µm). (C) IF for ACKR1 and CD45 in mouse lungs twenty-one days after bleomycin installation (scale 50µm). (D) IF for ACKR1, CD68 and Col1a1 in mouse lungs twenty-one days after bleomycin installation (scale 200 µm). (E) IF for ACKR1, Slc6a2 and Col1a1 in mouse lungs twenty-one days after bleomycin installation (scale 100 µm). (F) scRNAseq set-up and UMAP projection of all venous endothelial cells (purple-sham, orange-seven days post bleomycin administration (cells) (G) UMAP projection of ACKR1 positive and ACKR1 negative cells and proportion plot (H) Heatmap with differentially expressed genes. (I) Bubble plot with inflammatory and immune recruiting genes (G) GO enrichment of upregulated genes. (K) Day seven ACKR1 signature on the Adams et al(11)., Habermann et al.(12) and Tsukui et al. (22) datasets. Statistical significance was evaluated using a two-sided Wilcoxon rank-sum test.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) IF for ACKR1 and Slc6a2 in bleomycin treated mouse lungs (scale 20 µm). (B) IF for ACKR1 and CD45 in bleomycin treated mouse lungs (large scale 20µm, small scale 10µm). (C) IF for ACKR1 and CD45 in mouse lungs twenty-one days after bleomycin installation (scale 50µm). (D) IF for ACKR1, CD68 and Col1a1 in mouse lungs twenty-one days after bleomycin installation (scale 200 µm). (E) IF for ACKR1, Slc6a2 and Col1a1 in mouse lungs twenty-one days after bleomycin installation (scale 100 µm). (F) scRNAseq set-up and UMAP projection of all venous endothelial cells (purple-sham, orange-seven days post bleomycin administration (cells) (G) UMAP projection of ACKR1 positive and ACKR1 negative cells and proportion plot (H) Heatmap with differentially expressed genes. (I) Bubble plot with inflammatory and immune recruiting genes (G) GO enrichment of upregulated genes. (K) Day seven ACKR1 signature on the Adams et al(11)., Habermann et al.(12) and Tsukui et al. (22) datasets. Statistical significance was evaluated using a two-sided Wilcoxon rank-sum test.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques:

    (A) UMAP projection of all endothelial cells from sham and day seven post bleomycin and proportion plot. (B) UMAP projection of endothelial cells split between sham (purple) and day seven post bleomycin (orange). (C) Bubble plot with representative markers for each endothelial lineage. (D) Differential gene expression in each endothelial lineage. (E) UMAP plots with normalized gene expression across venous endothelial cells (F) Human and mouse ACKR1 VEC signature enrichment on all endothelial lineages from sham and bleomycin injured mice. (G) KEGG enrichment on mouse ACKR1pos VECs . (H) IF for ACKR1 and SPP1 in day day21 mouse bleomycin treated lungs (scale= µm). (I) IF for ACKR1 and EdU in day day7 mouse bleomycin treated lungs (scale= 10µm).

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) UMAP projection of all endothelial cells from sham and day seven post bleomycin and proportion plot. (B) UMAP projection of endothelial cells split between sham (purple) and day seven post bleomycin (orange). (C) Bubble plot with representative markers for each endothelial lineage. (D) Differential gene expression in each endothelial lineage. (E) UMAP plots with normalized gene expression across venous endothelial cells (F) Human and mouse ACKR1 VEC signature enrichment on all endothelial lineages from sham and bleomycin injured mice. (G) KEGG enrichment on mouse ACKR1pos VECs . (H) IF for ACKR1 and SPP1 in day day21 mouse bleomycin treated lungs (scale= µm). (I) IF for ACKR1 and EdU in day day7 mouse bleomycin treated lungs (scale= 10µm).

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Gene Expression

    (A) Experimental set up. (B) Diagram with representative body weight. (C) Bar plot depicting left lobe wet weight. (D) Bar plot depicting left lobe hydroxyproline measurement (E) Masson’s trichrome staining of sham, carrier and amikacin treated lungs (scale 100 µm). (F) IF for ACKR1, CD45 and CD68 in sham, carrier and amikacin treated lungs (scale 20 µm). (G) IF for ACKR1, aSMA and Col1a1 in sham, carrier and amikacin treated lungs (scale 20 µm). Statistical significance: (C,D) one-way ANOVA.

    Journal: bioRxiv

    Article Title: ACKR1-expressing venous endothelial cells establish a pro-fibrotic niche in pulmonary fibrosis

    doi: 10.64898/2026.07.31.742106

    Figure Lengend Snippet: (A) Experimental set up. (B) Diagram with representative body weight. (C) Bar plot depicting left lobe wet weight. (D) Bar plot depicting left lobe hydroxyproline measurement (E) Masson’s trichrome staining of sham, carrier and amikacin treated lungs (scale 100 µm). (F) IF for ACKR1, CD45 and CD68 in sham, carrier and amikacin treated lungs (scale 20 µm). (G) IF for ACKR1, aSMA and Col1a1 in sham, carrier and amikacin treated lungs (scale 20 µm). Statistical significance: (C,D) one-way ANOVA.

    Article Snippet: IPF-derived ACKR1+ VEC cells were cultured and treated with either scramble siRNA (Horizon Discovery/Dharmacon, D-001810-01-05) or siRNA targeting ACKR1 (MedChemExpress, 5500343490) for two days in OptiMEM media (Fisher, 31985070) for 48 hours, after which the cells were lysed and RNA extracted.Total RNA integrity was verified using RNA 6000 Pico Assay run on an Agilent 2100 Bioanalyzer (Agilent Technologies, CA, USA).

    Techniques: Staining

    UPK1B activates PI3K/AKT signaling by antagonizing the inhibitory regulator PIK3IP1 in gastric cancer cells. (A) Venn diagram showing that PIK3IP1 was identified as a putative UPK1B-interacting partner based on BioGRID and HIPPIE protein-protein interaction databases. (B) UPK1B and PIK3IP1 co-localized in the cytoplasm and plasma membrane of MKN45 cells. (C) Interaction between UPK1B and PIK3IP1 in MKN45 cells. (D) Knockdown of PIK3IP1 in MKN45 cells. (E) Silencing PIK3IP1 in UPK1B-knockdown MKN45 cells restored PI3K/AKT pathway activation. Knockdown of PIK3IP1 reversed the decrease in (F) migration/invasion and (G) wound-healing capacity in UPK1B-silenced MKN45 cells. UPK1B, uroplakin 1B; p-, phosphorylated; si, small interfering RNA; sh, short hairpin RNA; NC, negative control; PIK3IP1, PI3K inhibitor interacting protein 1; HIPPIE, Human Integrated Protein-Protein Interaction Reference; IP, immunoprecipitation.

    Journal: Experimental and Therapeutic Medicine

    Article Title: CDX2-UPK1B-PIK3IP1-PI3K/AKT signaling axis regulates gastric cancer cell invasion and migration and influences patient prognosis

    doi: 10.3892/etm.2026.13179

    Figure Lengend Snippet: UPK1B activates PI3K/AKT signaling by antagonizing the inhibitory regulator PIK3IP1 in gastric cancer cells. (A) Venn diagram showing that PIK3IP1 was identified as a putative UPK1B-interacting partner based on BioGRID and HIPPIE protein-protein interaction databases. (B) UPK1B and PIK3IP1 co-localized in the cytoplasm and plasma membrane of MKN45 cells. (C) Interaction between UPK1B and PIK3IP1 in MKN45 cells. (D) Knockdown of PIK3IP1 in MKN45 cells. (E) Silencing PIK3IP1 in UPK1B-knockdown MKN45 cells restored PI3K/AKT pathway activation. Knockdown of PIK3IP1 reversed the decrease in (F) migration/invasion and (G) wound-healing capacity in UPK1B-silenced MKN45 cells. UPK1B, uroplakin 1B; p-, phosphorylated; si, small interfering RNA; sh, short hairpin RNA; NC, negative control; PIK3IP1, PI3K inhibitor interacting protein 1; HIPPIE, Human Integrated Protein-Protein Interaction Reference; IP, immunoprecipitation.

    Article Snippet: Cells were also transfected with small interfering RNAs (siRNAs) targeting CDX2 or PIK3IP1 , with a universal non-targeting scrambled siRNA (si-NC) as the negative control , obtained from GeneChem, Inc. For UPK1B and CDX2 overexpression, the p-TSB-CMV-UPK1B and p-TSB-CMV-CDX2 expression vectors [Shanghai Genomeditech Co., Ltd.] and the corresponding empty p-TSB-CMV vector (negative control) were used.

    Techniques: Clinical Proteomics, Membrane, Knockdown, Activation Assay, Migration, Small Interfering RNA, shRNA, Negative Control, Immunoprecipitation

    ICA II attenuates radiation-induced cellular damage by disrupting FN1–Itgαvβ6 binding and regulating the PI3K-AKT signaling pathway in bladder cells. (A) Representative surface plasmon resonance (SPR) sensorgrams and kinetic fitting curves showing the binding of ICA II to Itgαvβ6. (B) SPR sensorgrams and kinetic fitting curves for the interaction between FN1 and Itgαvβ6. (C) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 10 μM ICA II. (D) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 100 μM ICA II. (E) Effects of different radiation doses on SV-HUC-1 cell proliferation. (F) Effects of different ICA II concentrations on SV-HUC-1 cell proliferation. (G) Effects of different radiation doses on human bladder fibroblast (HBF) cell proliferation. (H) Effects of different ICA II concentrations on HBF cell proliferation. (I) Effect of ICA II on the repair of radiation-induced damage in SV-HUC-1 cells, as shown by proliferation and morphological changes after treatment. (J) Inhibitory effect of ICA II on the proliferation of HBF cells caused by radiation damage, indicating reduced fibroblast proliferation after ICA II treatment. (K and L) Western blot analysis of the effect of ICA II on the protein expression of Itgαvβ6 in SV-HUC-1 cells; the results revealed a dose-dependent decrease in expression following ICA II treatment. (M and N) Western blot analysis of the effect of ICA II on the protein expression of FN1 in HBF cells, which revealed a significant reduction in FN1 expression after ICA II treatment. (O) Enzyme-Linked Immunosorbent Assay detection of FN1 expression levels in the culture supernatant of HBF cells, confirming the suppression of FN1 secretion in response to ICA II treatment. (P) RT‒qPCR analysis was used to determine the silencing efficiency of FN1-targeted siRNA (siFN1), which successfully knocked down FN1 expression at both the mRNA and protein levels. (Q) Co-immunoprecipitation showing the interaction between FN1 and Itgαv/Itgβ6 in SV-HUC-1 cells treated with fibroblast-conditioned media. (R and S) ICA II treatment reduced EMT and fibrosis-related protein expression and inhibited PI3K-AKT pathway activation in radiation-damaged cells, suggesting that ICA II plays a protective role through regulating FN1 and Itgαvβ6 interactions. Statistical significance is indicated using standard notation.

    Journal: International Journal of Surgery (London, England)

    Article Title: Therapeutic effects of Icariside II on radiation cystitis: revealing the mechanistic role of the FN1/Itgαvβ6-PI3K/AKT signaling pathway using single-cell RNA sequencing

    doi: 10.1097/JS9.0000000000005212

    Figure Lengend Snippet: ICA II attenuates radiation-induced cellular damage by disrupting FN1–Itgαvβ6 binding and regulating the PI3K-AKT signaling pathway in bladder cells. (A) Representative surface plasmon resonance (SPR) sensorgrams and kinetic fitting curves showing the binding of ICA II to Itgαvβ6. (B) SPR sensorgrams and kinetic fitting curves for the interaction between FN1 and Itgαvβ6. (C) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 10 μM ICA II. (D) SPR sensorgrams and kinetic fitting curves of FN1 binding to Itgαvβ6 in the presence of 100 μM ICA II. (E) Effects of different radiation doses on SV-HUC-1 cell proliferation. (F) Effects of different ICA II concentrations on SV-HUC-1 cell proliferation. (G) Effects of different radiation doses on human bladder fibroblast (HBF) cell proliferation. (H) Effects of different ICA II concentrations on HBF cell proliferation. (I) Effect of ICA II on the repair of radiation-induced damage in SV-HUC-1 cells, as shown by proliferation and morphological changes after treatment. (J) Inhibitory effect of ICA II on the proliferation of HBF cells caused by radiation damage, indicating reduced fibroblast proliferation after ICA II treatment. (K and L) Western blot analysis of the effect of ICA II on the protein expression of Itgαvβ6 in SV-HUC-1 cells; the results revealed a dose-dependent decrease in expression following ICA II treatment. (M and N) Western blot analysis of the effect of ICA II on the protein expression of FN1 in HBF cells, which revealed a significant reduction in FN1 expression after ICA II treatment. (O) Enzyme-Linked Immunosorbent Assay detection of FN1 expression levels in the culture supernatant of HBF cells, confirming the suppression of FN1 secretion in response to ICA II treatment. (P) RT‒qPCR analysis was used to determine the silencing efficiency of FN1-targeted siRNA (siFN1), which successfully knocked down FN1 expression at both the mRNA and protein levels. (Q) Co-immunoprecipitation showing the interaction between FN1 and Itgαv/Itgβ6 in SV-HUC-1 cells treated with fibroblast-conditioned media. (R and S) ICA II treatment reduced EMT and fibrosis-related protein expression and inhibited PI3K-AKT pathway activation in radiation-damaged cells, suggesting that ICA II plays a protective role through regulating FN1 and Itgαvβ6 interactions. Statistical significance is indicated using standard notation.

    Article Snippet: HBF cells were transiently transfected with small interfering RNA (siRNA) targeting FN1 (MCE, HY-RS05013) via the siRNA Transfection Reagent (MCE, HY-K2017) according to the manufacturer’s instructions.

    Techniques: Binding Assay, SPR Assay, Western Blot, Expressing, Enzyme-linked Immunosorbent Assay, Immunoprecipitation, Activation Assay