R 15.4 cells. To do so, we designed a modified quantitative RTPCR (RT-qPCR). Our modified method, herein named RT-DNA-qPCR (RT-DqPCR), is based on the fact that molar ratio between two genes in genomic DNA is equal (see Supplemental text 1). In short, RT-DqPCR involves normalization of values obtained by amplification of cDNA to those obtained by amplification of genomic DNA with the same primer p
The prioritization of health interventions [22]. The trade-offs between efficiency and equity are among these criteria, and have long been emphasized in the field of HIV/AIDS treatment and prevention [23,24]. Several mathematical frameworks, including mathematical programming, have been proposed to incorporate equity considerations into resource allocation in the public sector [25-29]. Several of
R 15.4 cells. To do so, we designed a modified quantitative RTPCR (RT-qPCR). Our modified method, herein named RT-DNA-qPCR (RT-DqPCR), is based on the fact that molar ratio between two genes in genomic DNA is equal (see Supplemental text 1). In short, RT-DqPCR involves normalization of values obtained by amplification of cDNA to those obtained by amplification of genomic DNA with the same primer p
And 2). In contrast, this ratio became reversed upon partial activation of viral transcription with TNF-. The ratios between the viral mRNA and *mRNA were 38- and 11-fold in J-Lat 9.2 and 15.4, respectively (Figure 2D, bars 3 and 4). Using RT-DqPCR we further assessed levels of *mRNA relative to those of full-length mRNA (Figure S2). Interestingly, levels of PP5 *mRNA were 10-times lower compared
The prioritization of health interventions [22]. The trade-offs between efficiency and equity are among these criteria, and have long been emphasized in the field of HIV/AIDS treatment and prevention [23,24]. Several mathematical frameworks, including mathematical programming, have been proposed to incorporate equity considerations into resource allocation in the public sector [25-29]. Several of
R 15.4 cells. To do so, we designed a modified quantitative RTPCR (RT-qPCR). Our modified method, herein named RT-DNA-qPCR (RT-DqPCR), is based on the fact that molar ratio between two genes in genomic DNA is equal (see Supplemental text 1). In short, RT-DqPCR involves normalization of values obtained by amplification of cDNA to those obtained by amplification of genomic DNA with the same primer p
R 15.4 cells. To do so, we designed a modified quantitative RTPCR (RT-qPCR). Our modified method, herein named RT-DNA-qPCR (RT-DqPCR), is based on the fact that molar ratio between two genes in genomic DNA is equal (see Supplemental text 1). In short, RT-DqPCR involves normalization of values obtained by amplification of cDNA to those obtained by amplification of genomic DNA with the same primer p
R 15.4 cells. To do so, we designed a modified quantitative RTPCR (RT-qPCR). Our modified method, herein named RT-DNA-qPCR (RT-DqPCR), is based on the fact that molar ratio between two genes in genomic DNA is equal (see Supplemental text 1). In short, RT-DqPCR involves normalization of values obtained by amplification of cDNA to those obtained by amplification of genomic DNA with the same primer p