ELISA (kit) IL-6, IL-1β, IL-8 and TNF-α -NA- Human

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human marrow stromal cells

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human fibroblast-like synoviocytes

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human bronchial epithelial cells

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human aortic endothelial cells

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human endometrial stromal cells

Get tips on using RNeasy Mini Kit to perform RNA isolation / purification Cells - primary human islets of langerhans

Get tips on using miRNeasy Mini kit to perform RNA isolation / purification Cells - primary human endometrial stromal cells

A gross majority of classical apoptotic attributes can be quantitatively examined by flow cytometry, the preferred platform for rapid assessment of multiple cellular attributes at a single-cell level. However, sample preparation for such flow cytometry-based techniques could be challenging. Cell harvesting by trypsinization, mechanical or enzymatic cell disaggregation from tissues, extensive centrifugation steps, may all lead to preferential loss of apoptotic cells. To overcome this strictly follow manufacturers instruction of the detection kit.

I would like to regulate the expression of a gene and in order to do that, I have purchased specific siRNA. After optimizing my transfection protocol and using electroporation I have achieved a 60-70% reduction of the gene of interest. However, I cannot observe a significant reduction of mRNA expression but only a reduction of protein. What might be the problem? Could the problem be in my cell treatment method?

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.