siRNA / miRNA gene silencing Mouse CT26

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Cell cycle can be challenging due to difference introduced by sample handling, timing, and difference within the sample. Downstream instriuments to analyse cell cycle (Multicolor flow cytometry and multicolor imaging) can answer these challenges. Relevant markers can be combined with cell phenotyping markers to look at events within subpopulations of cells.

Cellular assays Cell cycle assay mouse C2C12

Get tips on using APC Rat Anti-Mouse Ly-6G and Ly-6C to perform Flow cytometry Anti-bodies Mouse - Ly6C/Gr-1/Ly6G

Products BD Biosciences APC Rat Anti-Mouse Ly-6G and Ly-6C

Get tips on using PE Mouse Anti-Human CD30 Clone BerH8 to perform Flow cytometry Anti-bodies Human - CD30

Products BD Biosciences PE Mouse Anti-Human CD30 Clone BerH8

Get tips on using Monoclonal Mouse Anti-Human Cytokeratin, Clone MNF116 to perform Flow cytometry Anti-bodies Human - Keratin

Products Agilent Technologies Monoclonal Mouse Anti-Human Cytokeratin, Clone MNF116

Get tips on using A2B5 Antibody, anti-human/mouse/rat, APC to perform Flow cytometry Anti-bodies Human - A2B5

Products Miltenyibiotec A2B5 Antibody, anti-human/mouse/rat, APC

Get tips on using Monoclonal Anti-Laminin antibody produced in mouse to perform Western blotting Laminin subunit Beta-2

Products Sigma-Aldrich Monoclonal Anti-Laminin antibody produced in mouse

Get tips on using Monoclonal Anti-ATG5 antibody produced in mouse to perform Autophagy assay cell type - CaCo-2

Products Sigma-Aldrich Monoclonal Anti-ATG5 antibody produced in mouse

Get tips on using Monoclonal Anti-ATG12 antibody produced in mouse to perform Autophagy assay cell type - CaCo-2

Products Sigma-Aldrich Monoclonal Anti-ATG12 antibody produced in mouse

DNA microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.

DNA Microarray Gene expression arrays Human endometrial stromal cells Biotin

DNA microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.

DNA Microarray Gene expression arrays Rhesus monkey brain tissue Biotin

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