Corresponding kits

Manufactured by Thermo Fisher Scientific

Sourced in United States

Corresponding kits for lab equipment provide the necessary reagents, solutions, and materials required to perform specific laboratory procedures or assays. These kits are designed to work seamlessly with the lab equipment, ensuring consistent and reliable results. The core function of these kits is to enable researchers and scientists to conduct their experiments efficiently and effectively.

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Lab products found in correlation

β2 microglobulin, by Thermo Fisher Scientific (1 mentions) Eh2il2, by Thermo Fisher Scientific (1 mentions) Bms228, by Thermo Fisher Scientific (1 mentions) Khc3011, by Thermo Fisher Scientific (1 mentions) Microplate reader, by Bio-Rad (1 mentions) Adipic acid dihydrazide agarose, by Merck Group (1 mentions)

5 protocols using corresponding kits

Quantification of VEGF, AGT and β2-Microglobulin

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For quantification of VEGF, AGT and β
₂-Microglobulin, corresponding kits from Applied Biosystems were used according to the instructions of the manufacturer (VEGF: Hs00 173 626_m1; AGT: Hs01 586 213_m1: β
₂-Microglobulin: 4 326 319E). The quantity of cDNA for the genes of interest was normalised to the quantity of 18S RNA in each sample (delta-CT-method). Gene expression in the figures is presented as 1/delta CT.

Herr D., Sauer C., Holzheu I., Sauter R., Janni W., Wöckel A, & Wulff C. (2019). Role of Renin-Angiotensin-System in Human Breast Cancer Cells: Is There a Difference in Regulation of Angiogenesis between Hormone-Receptor Positive and Negative Breast Cancer Cells?. Geburtshilfe und Frauenheilkunde, 79(6), 626-634.

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Microarray Analysis of Epigenetic Regulators

Cited 2 times

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Microarray analyses, RNA amplification, labeling, hybridization and detection were performed following the protocols supplied by Applied Biosystems using the corresponding kits (Applied Biosystems). The microarray data were extracted using the Bioconductor limma package [39] (link) and median normalized. Data quality was determined using a QC procedure [40] (link). Data were normalized using NeONORM with k = 0.02 [41–43] . Subtraction profiling was performed as described previously [44,45] using the CDS test [46] (link). Differentially expressed genes were classified using Ingenuity Pathway Analysis software to detect network- and pathway-enrichments. Transcriptome data were deposited in the public database MACE (http://mace.ihes.fr) using Accession Nos: 3167467256 (5-aza-dC treatment HEK293 cells), 2426124024 (RA treatment HEK293 cells), 2147989240 (CBP overexpression HEK293 cells), 2267526904 (RA treatment of TDG(TDGP65A)/CBP expressing HEK293 cells), 2586598264 (5-aza-dC treatment COS-7 cells), 2283559800 (RA treatment COS-7 cells), 2740738936 (CBP overexpression COS-7 cells), 2763807608 (RA treatment of TDG/CBP expressing HEK293 cells), 2549898104 (RA treatment of TDGP65A/CBP expressing HEK293 cells), 2901761912 (wild-type TDG overexpression in HEK293 cells) and 2890751864 (TDG P65A overexpression in HEK293 cells).

Léger H., Smet-Nocca C., Attmane-Elakeb A., Morley-Fletcher S., Benecke A.G, & Eilebrecht S. (2014). A TDG/CBP/RARα Ternary Complex Mediates the Retinoic Acid-dependent Expression of DNA Methylation-sensitive Genes. Genomics, Proteomics & Bioinformatics, 12(1), 8-18.

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Exosomal PD-L1 and T-cell Cytokines

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PD‐L1 concentration on exosomes was analyzed by serial dilution, and the concentration of PD‐L1 in exosomes derived from cells or plasma was calculated based on ELISA analysis. The CD8+ T‐cell supernatant was collected to detect the contents of IFN‐γ (#BMS228), TNF‐α (#KHC3011), and interleukin (IL)‐2 (#EH2IL2) following the protocols of corresponding kits (Thermo Fisher Scientific).

Yang J., Chen J., Liang H, & Yu Y. (2022). Nasopharyngeal cancer cell‐derived exosomal PD‐L1 inhibits CD8+ T‐cell activity and promotes immune escape. Cancer Science, 113(9), 3044-3054.

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Perioperative Immune Response Monitoring

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Venous blood (3 ml) was collected immediately before induction of anesthesia (T1), 10 min (T2) after the beginning of surgery, immediately after surgery (T3) and 2 h after surgery (T4). Blood was centrifuged at 8,000 × g at 4°C for 15 min to separate serum. Percentage of CD3⁺, CD4⁺ and CD8⁺ cell activity was detected by flow cytometry (Sysmex Partec GmbH, Görlitz, Germany). Serum levels of IL-10, TNF-α, Cor, ALD and ACTH levels were measured by enzyme-linked immunosorbent assay (ELISA), and were determined by using corresponding kits (Thermo Fisher Scientific, Inc., Waltham, MA, USA) according to the manufacturer's instructions. OD values at 450 nm were measured by using a microplate reader (wavelength, 450 nm; Bio-Rad Laboratories, Inc., Hercules, CA, USA) to calculate the concentration of IL-10, TNF-α, Cor, ALD and ACTH.

Wang L., Zhang A., Liu W., Liu H., Su F, & Qi L. (2018). Effects of dexmedetomidine on perioperative stress response, inflammation and immune function in patients with different degrees of liver cirrhosis. Experimental and Therapeutic Medicine, 16(5), 3869-3874.

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Isolation and Characterization of pri-miR-7-1

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Corresponding kits from Thermo Scientific (21516, 21277) were used in this assay, as instructed by the manufacturer. All cells were treated with 100 mM NaAc and 5 mM sodium (meta)periodate in 200 μl of water and rotated for 1 h at room temperature in the dark. The RNA was precipitated by adding 600 μl of 100% ethanol and 15 μl of 3 M NaAc in dry ice for 20 min, followed by centrifugation at 13 000 rpm, 4°C for 10 min. The RNA pellet was washed with 70% ethanol and resuspended in 500 μl of 100 mM NaAc pH 5. 200 μl of adipic acid dihydrazide-agarose (Sigma-Aldrich) was washed with 100 mM NaAc and mixed with 500 μl of the periodate oxidized pri-miR-7–1-CTL overnight at 4°C in the dark. The pri-miR-7–1-CTL-beads were washed by 2M KCl, Buffer G (20 mM Tris-HCl pH 7.5, 137 mM NaCl, 1 mM EDTA, 1% Triton X-100, 10% glycerol, 1.5 mM MgCl₂, 1 mM DTT and 200 μM PMSF) and Roeder D, respectively.

Liu Y., Wu Q., Sun T., Huang J., Han G, & Han H. (2022). DNAAF5 promotes hepatocellular carcinoma malignant progression by recruiting USP39 to improve PFKL protein stability. Frontiers in Oncology, 12, 1032579.

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