2013
DOI: 10.1016/j.ymeth.2012.05.005
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The challenge of gene expression profiling in heterogeneous clinical samples

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Cited by 18 publications
(10 citation statements)
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References 148 publications
(141 reference statements)
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“…At P <0.01 the correlation between the pairs ranged between 0.74–0.99 and the cluster analysis showed a match of 25 out of the 27 pairs. The 2 non-matching samples in this analysis clustered to another breast cancer sample, which may be explained by the heterogeneity within the tissue [ 10 , 19 , 24 ]. The number of paired samples clustering together decreased after increasing the number of probes included in the analysis.…”
Section: Discussionmentioning
confidence: 99%
“…At P <0.01 the correlation between the pairs ranged between 0.74–0.99 and the cluster analysis showed a match of 25 out of the 27 pairs. The 2 non-matching samples in this analysis clustered to another breast cancer sample, which may be explained by the heterogeneity within the tissue [ 10 , 19 , 24 ]. The number of paired samples clustering together decreased after increasing the number of probes included in the analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Peripheral blood mononuclear cells (PBMC) were isolated by Ficoll-Hypaque density gradient centrifugation at 400 g for 40 min at room temperature. The cells at the interface were washed twice with phosphate buffered saline (PBS) [27, 28]. …”
Section: Methodsmentioning
confidence: 99%
“…These techniques can enhance the quantification of specific DNA sequences, with the corresponding analytical results being applicable to disease diagnosis (e.g., influenza) [5][6][7][8], environmental monitoring, and microbiological food analysis [9][10][11]. In the case of qPCR, the target gene fragment is monitored by fluorescence spectroscopy, allowing the quantitative analysis of amplified small DNAs.…”
Section: Introductionmentioning
confidence: 99%