Project description:Fresh resected lung tissues were obtained from six tuberculosis patients with elevated pulmonary 18F-FDG avidity. Lung tissues with 18F-FDG avidity and nearby uninvolved tissues were profiled with single-cell RNA sequencing.
Project description:To determine the LncRNA and mRNA expression profile in lung cancer tissues and matched nontumor tissues, we used LncRNA microarray analysis from Arraystar to examine the expression of LncRNAs and mRNAs in lung cancer tissues and matched nontumor tissues.
Project description:Determining agreement in classification between platforms and procurement methods requires a variety of methods. We have shown that centroid-based algorithms are robust classifiers for breast cancer subtype assignment across platforms (microarray and qRT-PCR data) and procurement conditions (fresh frozen and formalin-fixed, paraffin-embedded tissues). On a gene-by-gene basis, we found that the standard deviation, dynamic range, and concordance correlation coefficient are important parameters to assess individual primer set performance across procurement methods. Our strategy for primer set validation and classification have applications in routine clinical practice for stratifying breast cancers and other tumor types Keywords: reference x sample