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規(guī)格

規(guī)格	8樣本、22樣本、50樣本、8樣本(產(chǎn)品加服務(wù))、22樣本(產(chǎn)品加服務(wù))、50樣本(產(chǎn)品加服務(wù))
樣本類型	Cell Culture Supernatants, Plasma, Serum, Tissue Lysates, Other Body Fluids, Cell Lysates
原理方法	Sandwich-based
檢測(cè)方法	Fluorescence Laser Scanner
定量與否	Quantitative
載體	Glass Slide
適用種屬	Human
檢測(cè)靶標(biāo)	IFN-gamma, TNF alpha, Angiopoietin-1, bFGF, IGF-1, IL-10, IL-13, IL-15, IL-17A, IL-2, IL-4, LIF, VEGF-A, EGFR, ErbB3, GM-CSF, HGF, IGFBP-2, IL-12 p40, IL-6, PDGF-BB, RAGE, Resistin, TGF alpha, Trappin-2, IL-5, IL-16, AgRP, Growth Hormone, IGFBP-1, IGFBP-3, IL-11, IL-12 p70, Insulin, M-CSF, MIF, MSP alpha/beta, PAI-1, PDGF-AA, PDGF-AB, Somatotropin, TGF beta 1, TIMP-1, TIMP-2, TNFRSF27, XEDAR, CXCL16, OPN, Angiogenin, Angiostatin, EGF, GCSF, GRO alpha/beta/gamma, PLGF, uPAR, VEGF-D, VEGFR2, VEGFR3, IGFBP-4, IGFBP-6, GDNF, TGF beta 2, TGF beta 3, Activin A, Amphiregulin, AXL, BDNF, beta-NGF, BMP-4, BMP-5, BMP-7, Cathepsin S, CD14, CEACAM-1, Cripto-1, CSFR1, DAN, DKK-1, Dtk, E-Cadherin, E-Selectin, Elafin, ErbB1, FGF-4, Flt-3 Ligand, Follistatin, Galectin-7, GDF-15, HB-EGF, IL-17B, IL-17F, IL-23, IL-31, IL-7, IL-9, LIMPII, LYVE-1, M-CSF R, MICA, MICB, Nr-CAM, NT-3, NT-4, PDGF R beta, SR-B2, TREM-1, TSLP, TYRO3, VEGF-C, VEGFR1, LAP/TGF beta 1, IL-17RA, Eotaxin-1 / CCL11, Fas Ligand / TNFSF6, IL-8 / CXCL8, MIP-1 alpha / CCL3, RANTES / CCL5, BLC / CXCL13, TNF R1 / TNFRSF1A, IL-1 beta / IL-1F2, CD40 Ligand / TNFSF5, MIG / CXCL9, MIP-1 beta / CCL4, CK beta 8-1 / CCL23, IL-10R beta, IL-13R alpha 2, IL-18BPa, IL-1R-1 / IL-1RT-1 / IL-1R alpha / CD121a / p80, IL-21R, IL-2R alpha, IL-6R, Tie-2 / TEK, SCF / KITLG, PECAM-1 / CD31, Contactin-2 / TAG1, ICAM-2 / CD102, IL-13R alpha 1, IL-1R-4 / ST2 / IL-33R, LIGHT / TNFSF14, MCP-2 / CCL8, MCP-3 / MARC / CCL7, Siglec-5 / CD170 / Siglec-F, TNF R2 / TNFRSF1B, IL-1 alpha / IL-1F1, IP-10 / CXCL10, ALCAM / CD166, CD40 / TNFRSF5, Endoglin / CD105, TROP1 / EpCAM, GITR / TNFRSF18, IL-1ra / IL-1RN / IL-1 F3 / IRAP, MCP-1 / CCL2, FGF-7 / KGF, Fas / TNFRSF6 / Apo-1, MIP-3 alpha / CCL20, 6Ckine / CCL21, Betacellulin / BTC, MEC / CCL28, CD30 / TNFRSF8, CD80 / B7-1, CTACK / CCL27, DR6 / TNFRSF21, EG-VEGF / PK1, ENA-78 / CXCL5, Eotaxin-2 / MPIF-2 / CCL24, Eotaxin-3 / CCL26, Fc gamma RIIB/C / CD32B/C, GCP-2 / CXCL6, HCC-1 / CCL14, HCC-4 / CCL16, HVEM / TNFRSF14 / CD270, I-309 / TCA-3 / CCL1, ICAM-1 / CD54, ICAM-3 / CD50, IL-28A / IFN lambda 2, IL-29 / IFN-lambda 1, IL-2R beta / CD122, I-TAC / CXCL11, Lipocalin-2 / NGAL, L-Selectin / CD62L, Lymphotactin / XCL1, MCP-4 / CCL13, MDC / CCL22, MIP-1 delta / CCL15, MIP-3 beta / CCL19, MPIF-1 / CCL23, NAP-2 / PPBP / CXCL7, NGFR / TNFRSF16, NRG1-beta 1 / HRG1-beta 1, Osteoprotegerin / TNFRSF11B, Osteopontin / SPP1, PARC / CCL18, Platelet Factor 4 / CXCL4, SCF R / CD117 / c-kit, SDF-1 alpha / CXCL12 alpha, SDF-1 beta / CXCL12 beta, gp130 / sgp130, Sonic Hedgehog N-Terminal / Shh-N, Siglec-5 / CD170, TARC / CCL17, TECK / CCL25, TIM-1 / KIM-1, TNF beta / TNFSF1 / LT-alpha, BCMA / TNFRSF17, 4-1BB / TNFRSF9 / CD137, Thrombopoietin / TPO, TRAIL R3 / TNFRSF10C, TRAIL R4 / TNFRSF10D, VCAM-1 / CD106, TCK-1 / CXCL7, IL-2R gamma / Common gamma Chain
靶標(biāo)數(shù)	200

詳細(xì)描述

Product Features

More cost-effective than traditional ELISA
High specificity and system reproducibility
Suitable for diverse sample types
Low sample volume requirement: 250 μL or less
Get results same day (6-hour processing time)
Well-suited for high throughput assays
Q Analyzer software provides one-step computation

Target Names

4-1BB (TNFRSF9/CD137), 6Ckine (CCL21), Activin A, AgRP, ALCAM (CD166), Amphiregulin, Angiogenin, Angiopoietin-1, Angiostatin, AXL, BCMA, BDNF, Betacellulin (BTC), beta-NGF, bFGF, BLC (CXCL13), BMP-4, BMP-5, BMP-7, Cathepsin S, CCL28 (MEC), CD14, CD30 (TNFRSF8), CD40 (TNFRSF5), CD40 Ligand (TNFSF5), CD80 (B7-1), CEACAM-1, Contactin-2 (TAG1), Cripto-1, CTACK (CCL27), CXCL16, DAN, DKK-1, DR6 (TNFRSF21), Dtk, E-Cadherin, EGF, EGFR, EG-VEGF (PK1), ENA-78 (CXCL5), Endoglin (CD105), Eotaxin-1 (CCL11), Eotaxin-2 (MPIF-2/CCL24), Eotaxin-3 (CCL26), ErbB3, E-Selectin, Fas (TNFRSF6/Apo-1), Fas Ligand (TNFSF6), Fc gamma RIIB/C (CD32B/C), FGF-4, FGF-7 (KGF), Flt-3 Ligand, Follistatin, Galectin-7, GCP-2 (CXCL6), GCSF, GDF-15, GDNF, GITR (TNFRSF18), GM-CSF, gp130 (sgp130), GRO alpha/beta/gamma, Growth Hormone, HB-EGF, HCC-1 (CCL14), HCC-4 (CCL16), HGF, HVEM (TNFRSF14), I-309 (TCA-3/CCL1), ICAM-1 (CD54), ICAM-2 (CD102), ICAM-3 (CD50), IFN-gamma, IGF-1, IGFBP-1, IGFBP-2, IGFBP-3, IGFBP-4, IGFBP-6, IL-1 alpha (IL-1 F1), IL-1 beta (IL-1 F2), IL-1 R1, IL-1 R4 (ST2), IL-1 Ra (IL-1 F3), IL-10, IL-10 R beta, IL-11, IL-12 p40, IL-12 p70, IL-13, IL-13 R alpha 1 (IL-13 R1), IL-13 R alpha 2, IL-15, IL-16, IL-17 RA, IL-17A, IL-17B, IL-17F, IL-18 BP alpha, IL-2, IL-2 R alpha, IL-2 R beta (CD122), IL-2 R gamma (Common gamma Chain), IL-21 R, IL-23, IL-28A (IFN-lambda 2), IL-29 (IFN-lambda 1), IL-31, IL-4, IL-5, IL-6, IL-6 R, IL-7, IL-8 (CXCL8), IL-9, Insulin, IP-10 (CXCL10), I-TAC (CXCL11), LAP/TGF beta 1 (TGF beta 1), LIF, LIGHT (TNFSF14), LIMPII, Lipocalin-2 (NGAL), L-Selectin (CD62L), Lymphotactin (XCL1), LYVE-1, MCP-1 (CCL2), MCP-2 (CCL8), MCP-3 (MARC/CCL7), MCP-4 (CCL13), M-CSF, M-CSF R, MDC (CCL22), MICA, MICB, MIF, MIG (CXCL9), MIP-1 alpha (CCL3), MIP-1 beta (CCL4), MIP-1 delta (CCL15), MIP-3 alpha (CCL20), MIP-3 beta (CCL19), MPIF-1 (CCL23), MSP alpha/beta, NAP-2 (PPBP/CXCL7), NGFR (TNFRSF16), NrCAM, NRG1-beta 1 (HRG1-beta 1), NT-3, NT-4, Osteopontin (SPP1), Osteoprotegerin (TNFRSF11B), PAI-1, PARC (CCL18), PDGF R beta, PDGF-AA, PDGF-AB, PDGF-BB, PECAM-1, Platelet Factor 4 (CXCL4), PLGF, RAGE, RANTES (CCL5), Resistin, SCF, SCF R (CD117/c-kit), SDF-1 alpha (CXCL12 alpha), SDF-1 beta (CXCL12 beta), Siglec-5 (CD170), Sonic Hedgehog N-Terminal (Shh-N), TARC (CCL17), TECK (CCL25), TGF alpha, TGF beta 1, TGF beta 2, TGF beta 3, Thrombopoietin (TPO), Tie-2, TIM-1 (KIM-1), TIMP-1, TIMP-2, TNF alpha, TNF beta (TNFSF1B), TNF RI (TNFRSF1A), TNF RII (TNFRSF1B), TRAIL R3 (TNFRSF10C), TRAIL R4 (TNFRSF10D), Trappin-2, TREM-1, TROP1 (EpCAM), TSLP, uPAR, VCAM-1 (CD106), VEGF-A, VEGF-C, VEGF-D, VEGFR1, VEGFR2, VEGFR3, XEDAR

Application Notes

Suggested Application

Multiplexed Protein Detection
Biomarker Screening
Identifying Key Factors
Confirming Biological Process
Biomarker Validation
Validation of Antibody Array Results
Quantitative Protein Detection
Establishing Normal Range

Kit Components

Human Cytokine Array Q4000 Slide(s)
Blocking Buffer
Wash Buffer 1
Wash Buffer 2
Lyophilized Standard Mix
Biotinylated Detection Antibody Cocktail
Streptavidin-Conjugated Fluor
Slide Washer/Dryer
Adhesive Plastic Strips
Manual

Other Materials Required

Distilled or deionized water
Small plastic boxes or containers
Pipettors, pipette tips and other common lab consumables
Orbital shaker or oscillating rocker
Aluminum foil
Gene microarray scanner or similar laser fluorescence scanner

View Compatible Laser Scanners

Don't have a compatible scanner? RayBiotech now offers FREE scanning service for all RayBio glass slide antibody arrays! Learn More

Protocol Outline

Dry the glass slide
Prepare Standards
Block array surface
Incubate with Samples and Standards
Incubate with Biotinylated Detection Antibody Cocktail
Incubate with Streptavidin-Conjugated Fluor
Disassemble the glass slide
Scan with a gene microarray laser scanner
Perform densitometry and analysis

Storage/Stability

For best results, ore the entire kit frozen at -20°C upon arrival. Stored frozen, the kit will be stable for at least 6 months which is the duration of the product warranty period. Once thawed, store array slide(s), standard mix, detection antibody cocktail, and Cy3-Conjugated Streptavidin at -20°C and all other reagents undiluted at 4°C for no more than 3 months.

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文件

QAH-CAA-4000.pdf

文獻(xiàn)(9)

Identification and characterization of stem cell secretome-based recombinant proteins for wound healing applications.,Rubal Singla, Abhishek Mishra, Rupa Joshi, Phulen Sarma, Rohit Kumar, Gurjeet Kaur, Amit Raj Sharma, Ashish Jain, Ajay Prakash, Alka Bhatia, Bikash Medhi,BRAIN RESEARCH BULLETIN ,(IF:3.715)
Species：	Human
Sample Type：	unknown

View publications

Integrative characterisation of secreted factors involved in intercellular communication between prostate epithelial or cancer cells and fibroblasts,Jorfi Mehdi, Park Joseph, Hall Clare K., Lin Chih-Chung Jerry, Chen Meng, von Maydell Djuna, Kruskop Jane M., Kang Byunghoon, Choi Younjung, Prokopenko Dmitry, Irimia Daniel, Kim Doo Yeon, Tanzi Rudolph E.,NATURE NEUROSCIENCE ,(IF:25)
Species：	Human
Sample Type：	unknown

View publications

Molecular Characterization of Secreted Factors and Extracellular Vesicles-Embedded miRNAs from Bone Marrow-Derived Mesenchymal Stromal Cells in Presence of Synovial Fluid from Osteoarthritis Patients,Ko?osowska Karolina, Lehner Ma?gorzata, Skórzewska Anna, Gawryluk Aleksandra, Tomczuk Filip, Sobolewska Alicja, Turzyńska Danuta, Liguz-L?cznar Monika, Bednarska-Makaruk Ma?gorzata, Maciejak Piotr, Wis?owska-Stanek Aleksandra,Pharmacological Reports ,(IF:3.919)
Species：	Human
Sample Type：	unknown

View publications

Paraquat exposure induces Parkinsonism by altering lipid profile and evoking neuroinflammation in the midbrain,Ivo Lambrichts, Esther Wolfs, Annelies Bronckaers, Pascal Gervois, Tim Vangansewinkel,INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES ,(IF:5.6)
Species：	Human
Sample Type：	serum

View publications

Secreted Factors and Extracellular Vesicles Account for the Immunomodulatory and Tissue Regenerative Properties of Bone-Marrow-Derived Mesenchymal Stromal Cells for Osteoarthritis,?ik Nihan, Duman Murat, Küme Tuncay, Gürsoy Doruk ?zlem, Yilmaz Durgül, ?ren Hale,JOURNAL OF PEDIATRIC HEMATOLOGY ONCOLOGY ,(IF:1.17)
Species：	Human
Sample Type：	unknown

View publications

Serological biomarkers in autoimmune GFAP astrocytopathy,Hong Chia-Lun, Yu I-Shing, Pai Chen-Hsueh, Chen Jin-Shing, Hsieh Min-Shu, Wu Hua-Lin, Lin Shu-Wha, Huang Hsiang-Po,CANCER RESEARCH ,(IF:13.312) 作者單位：臺(tái)灣大學(xué)
Species：	Human
Sample Type：	serum

View publications

Substrate topographies modulate the secretory activity of human bone marrow mesenchymal stem cells,Jourdi Georges, Fleury Samuel, Boukhatem Imane, Lordkipanidzé Marie,Neural Regeneration Research ,(IF:6.1)
Species：	Human
Sample Type：	unknown

View publications

Surface roughness modulates EGFR signaling and stemness of triple-negative breast cancer cells,Jér?me Laloze, Marie Lacoste, Faris Marouf, Gilles Carpentier, Laetitia Vignaud, Benoit Chaput, Audrey Varin, Alexis Desmoulière, Amandine Rovini,Journal of Clinical Medicine ,(IF:3.9)
Species：	Human
Sample Type：	unknown

View publications

Tissue-Protective and Anti-Inflammatory Landmark of PRP-Treated Mesenchymal Stromal Cells Secretome for Osteoarthritis,Radostina V Cherneva, Ognian B Georgiev, Daniela S Petrova, Nedka L Trifonova, Maria Stamenova, Vesela Ivanova, Veselin I Vlasov,International Journal of Chronic Obstructive Pulmonary Disease ,(IF:2.893)
Species：	Human
Sample Type：	unknown

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