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By using dose-response information and matched expression data on the NCI-60 cell lines, we developed a panel of gene-expression signatures representing resistant and sensitive patterns for a series of cytotoxic agents commonly used in the treatment of solid tumors, including breast cancer [ 7].
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These cells may represent resistant cells to combined treatment.
Previously, the focus was primarily on the effect of a specific treatment on the disease, and treatment failures were generally regarded to represent resistant disease.
Therefore, to increase the probability that the controls represented resistant animals, all controls were sampled from bTB-restricted case herds favouring higher prevalence herds in an attempt to increase their probability of exposure to infection (Bishop et al., 2012).
We then identified loci unique to the three OxPt-resistant sub-lines (cell line B (HCT-116 OxPt resistant), E (HT-29 OxPt resistant) and H LoVo OxPtt resistant)) as uniquely representing OxPt-resistant DNA methylation features and defined a set O, which contains only these OxPt-resistant sub-line loci (including the three formats of CpG, CHG and CHH).
Finally, we identified the loci unique to the three SN38-resistant sub-lines (cell line C (HCT-116 SN38 resistant), F (HT-29 SN38 resistant) and I (LoVo SN38 resistant)) as uniquely representing SN38-resistant DNA methylation features and defined a set S, which contains only these SN38-resistant sub-line loci (including the three formats of CpG, CHG and CHH).
Primer pair Cpp2 and Cpp3 (see Table 5 for primer sequences) amplifies a 389 bp fragment characteristic of wildtype susceptible allele (termed as L1014 allele for codon TTA), and primer pair Cpp1 and Cpp4 yields a 176 bp fragment representing a resistant allele (L1014F allele for codon TTT).
Using a truck-mounted hydraulic-lifted platform, we collected samples of the leaves representing the resistant and susceptible chemotypes of the mosaic.
Although confidence intervals were wide, point estimate for mortality was highest in the patients with the lowest Hb and highest ESA dose, representing ESA resistant patients.
The isolates were sampled from a database maintained at the DST/NRF Centre, Stellenbosch University, representing drug resistant TB cases from a variety of hospitals in the Western Cape, South Africa (see Table 1).
Construction of six cDNA libraries from pooled RNA samples representing WPBR resistant and susceptible genotypes enabled us to generate and gain a global view of the transcriptome in the shoot tip tissues of P. monticola.
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