Sentence examples for resistant sample from inspiring English sources

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The deletions and amplifications on chromosomes 9 and 22, which were suggested to be associated with TKI resistance or disease progression [32], were detectable in 1 secondary resistant sample developing imatinib resistance.

A second mutation in EGFR (T790M) resulting in resistance was initially detected in the resistant sample but after an interval without the inhibitor, this mutation was no longer detectable and the tumors became responsive again [ 79].

R Resistant, Sample 5, 9, 11 – Escherichia coli, Sample 19, 26, 31, 35, 36, 38 – Klebsiella pneumoniae, MTCC 109 – Klebsiella pneumoniae, MTCC 441 – Bacillus subtilis, MTCC 3160 – Staphylococcus aureus, MTCC 870 – Aspergillus fumigatus, MTCC 1637 – Candida albicans Fig. 2 Antimicrobial activities of Bacopa monnieri [bar = 10 mm].

The most sensitive sample to the anti-proliferative effect of pacritinib had an IC50 of 190 n and the most resistant sample had an IC50 of 1300 n.

The cytosine arabinoside sensitive sample SVTneg1 (CAs) was in passage 111 and the cytosine arabinoside resistant sample SVTneg1 (CAr) was in passage 23 when DNA was taken for analyses.

A 2 1 (susceptible:resistant) sample was randomly selected from the list of tested specimens from the same age group in each state (<5, 5 17, 18 64, and ≥65 years).

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The Xpert assay correctly detected RIF resistance in 6 out of the 7 resistant samples.

We then went on to generate transposon mutagenized libraries; screen with a selection reagent; detect the insertion sites in resistant samples; and finally link the insertion events (genotype) to the resistance (phenotype).

An EST matching a cuticular protein gene is also highly expressed in the resistant samples suggesting that this enzyme family could potentially be involved in pyrethroid resistance as already been suggested in An. gambiae and An.

Drugs with <10 resistant samples were excluded to avoid overly large confidence intervals.

As above, we do not estimate false-negative rates for drugs where we have <10 resistant samples, as confidence intervals would be unreasonably large.

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