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Articles by K Zhao
Total Records ( 3 ) for K Zhao
  Y Zhao , J Liu , Q Hong , C Yang , L Chen , Y Chen , Q Wang , K Zhao and W. Jin
 

Overexpression of multidrug resistance 1 (MDR1) in cancer remains one of the major causes for the failure of chemotherapy. In the present study, we found that MyoD and PEA3 could activate P-glycoprotein (P-gp) expression in SGC7901 cells. Knockdown of MyoD and PEA3 attenuated MDR1 expression and increased the sensitivity of multidrug resistant cancer cells to cytotoxic drugs that were transported by P-gp in SGC7901/VCR cells. MyoD or PEA3 could bind to the E-box and PEA3 sites on the MDR1 promoter and activate its transcription. The regulation of MDR1 expression by MyoD and PEA3 may provide potential ways to overcome MDR in cancer treatment.

  C Zang , D. E Schones , C Zeng , K Cui , K Zhao and W. Peng
 

Motivation: Chromatin states are the key to gene regulation and cell identity. Chromatin immunoprecipitation (ChIP) coupled with high-throughput sequencing (ChIP-Seq) is increasingly being used to map epigenetic states across genomes of diverse species. Chromatin modification profiles are frequently noisy and diffuse, spanning regions ranging from several nucleosomes to large domains of multiple genes. Much of the early work on the identification of ChIP-enriched regions for ChIP-Seq data has focused on identifying localized regions, such as transcription factor binding sites. Bioinformatic tools to identify diffuse domains of ChIP-enriched regions have been lacking.

Results: Based on the biological observation that histone modifications tend to cluster to form domains, we present a method that identifies spatial clusters of signals unlikely to appear by chance. This method pools together enrichment information from neighboring nucleosomes to increase sensitivity and specificity. By using genomic-scale analysis, as well as the examination of loci with validated epigenetic states, we demonstrate that this method outperforms existing methods in the identification of ChIP-enriched signals for histone modification profiles. We demonstrate the application of this unbiased method in important issues in ChIP-Seq data analysis, such as data normalization for quantitative comparison of levels of epigenetic modifications across cell types and growth conditions.

  P. M Wise , K Zhao and C. J. Wysocki
 

Relatively, few studies have focused on how nasal irritation changes over time. To simulate the rhythm of natural respiration, subjects received 3-s pulses of volatile organic compounds interspersed with 3-s pulses of clean air. Each trial, subjects received 9 pulses of a chemical vapor over about 1 min. Subjects rated nasal irritation from each pulse using magnitude estimation. Within a trial, compound and concentration were fixed. Compound (ethanol, n-butanol, or n-hexanol) and concentration (4 levels for each compound) varied across trials. For all stimuli, rated irritation decreased over time (adaptation). Plots of log-rated intensity versus elapsed time were approximately linear (intensity decreased by a fixed ratio per unit time). Interestingly, the slopes of intensity versus time functions differed very little: Regardless of concentration and compound, rated irritation decreased by about 32% over the 9 pulses. The basic mechanism of short-term adaptation may be the same for the 3 alcohols studied. Regardless, these data suggest that very simple models might be able to describe some aspects of perceptual dynamics quite well.

 
 
 
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