The ability to analyze multiple samples of single cells by integrating cDNA synthesis with the multiplexed mRNA expression analysis on each cell remains unrealized and is the goal that has inspired the research effort described in this paper.
The decrease in sequencing achieved by anchoring, by sampling only the ends of the fragments and by multiplexing multiple samples in the same lane of a sequencer brings the costs of sequencing down considerably.
The true risk is probably higher since the measurements were made on single samples and it has been estimated that taking account of within-subject variability by taking multiple samples may lead to a doubling of estimates of relative risk [ 4].
8 9 This requires estimating the correction factor, for example, by collecting multiple samples from a representative subset of the survey population.
The arithmetic mean, which we report, is generated by compiling multiple samples, thus giving the mean number of receptors/cell (Tables 3 and 4).
By comparing multiple samples against this standard, a larger number of samples can be probed.
The potential limitation of cell lines is further mitigated by the use of non-malignant controls to filter adaptation to ex vivo growth and by use of multiple samples.
A higher throughput in (bio analysis can be obtained (a) by the parallel screening of multiple samples for one target, (b) by the simultaneous screening of one sample for multiple targets (multiplexing), or (c) by a combination of both, as recently reviewed by Situma et al. [ 25].
Here we show that by using targeted sequencing of multiple samples, we can reduce the number of candidate causative mutations to one or two per line.
By averaging the values of multiple samples, more accurate standard deviation and maximum of aerodynamic loads can be obtained.
