RNA isolation / purification Tissue Human

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.

Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay.

Get tips on using Brilliant Violet 510™ anti-human HLA-DR Antibody to perform Flow cytometry Anti-bodies Human - HLA-DR

Get tips on using PerCP-Cy™5.5 Mouse Anti-Human HLA-DR to perform Flow cytometry Anti-bodies Human - HLA-DR

Get tips on using PE/Dazzle™ 594 anti-human CD184 (CXCR4) Antibody to perform Flow cytometry Anti-bodies Human - CD184/CXCR4

Get tips on using FlashTag™ Biotin HSR RNA Labeling Kits to perform Microarray RNA amplification & Labeling - Rat primary vascular smooth muscle cells Biotin

A standard angiogenic assay involves the autonomous endothelial cell response of self-organization into microvessels, also known as tubes when seeded on a basement membrane matrix in the presence of the appropriate growth factors. However, the component of basement membrane matrix may also affect the tube formation by endothelial cells. Hence it is important to use a standard angiogenesis assay kit or use the same membrane matrix with known composition to standardize the assay conditions.

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 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 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.