Method Comparison for Analyzing Wound Healing Rates

Wound healing scratch assay is a frequently used method to characterize cell migration, which is an important biological process in the course of development, tissue repair, and immune response for example. The measurement of wound healing rate, however, varies among different studies. Here we summarized these measurements into three types: I) Direct Rate Average; II) Regression Rate Average; and III) Average Distance Regression Rate. Using Chinese Hamster Ovary (CHO) cells as a model, we compared the three types of analyses on quantifying the wound closing rate, and discovered that type I & III measurements are more resistant to outliers and type II analysis is more sensitive to outliers. We hope this study can help researchers to better use this simple yet effective assay

Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes

This work includes the original data used to discover the gene ontology bias in transcriptomic analysis conducted by microarray and high throughput sequencing (Zhang et al., 2015) [1]. In the analysis, housekeeping genes were used to examine the differential detection ability by microarray and sequencing because these genes are probably the most reliably detected. The genes included here were compiled from 15 human housekeeping gene studies. The provided tables here comprise of detailed chromosomal location, detection breadth, normalized expression level, exon count, total exon length, and total intron length of each concerned gene and their related transcripts. We hope this information can help researchers better understand the differences in gene ontology-bias we discussed (Zhang et al., 2015) [1] and can encourage further improvement on these two technology platforms. Keywords: Transcriptome, Microarray, Sequencing, RNA-seq, Next-generation sequencing, Housekeeping gene