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The effect of tissue composition on gene co-expression

Variable cellular composition of tissue samples represents a significant challenge for the interpretation of genomic profiling studies. Substantial effort has been devoted to modeling and adjusting for compositional differences when estimating …

Multiple imputation and direct estimation for qPCR data with non-detects

Quantitative real-time PCR (qPCR) is one of the most widely used methods to measure gene expression. An important aspect of qPCR data that has been largely ignored is the presence of non-detects: reactions failing to exceed the quantification …

Auto-regressive modeling and diagnostics for qPCR amplification

Current methods used to analyze real-time quantitative polymerase chain reaction (qPCR) data exhibit systematic deviations from the assumed model over the progression of the reaction. Slight variations in the amount of the initial target molecule or …

Systematic exploration of cell morphological phenotypes associated with a transcriptomic query

Cell morphological phenotypes, including shape, size, intensity, and texture of cellular compartments have been shown to change in response to perturbation with small molecule compounds. Image-based cell profiling or cell morphological profiling has …

Big Strides in Cellular MicroRNA Expression

A lack of knowledge of the cellular origin of miRNAs has greatly confounded functional and biomarkers studies. Recently, three studies characterized miRNA expression patterns across 78 human cell types. These combined data expand our knowledge of …

Toward the human cellular microRNAome

MicroRNAs are short RNAs that serve as regulators of gene expression and are essential components of normal development as well as modulators of disease. MicroRNAs generally act cell-autonomously, and thus their localization to specific cell types is …

Complex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung Transcriptome

The sources of gene expression variability in human tissues are thought to be a complex interplay of technical, compositional, and disease-related factors. To better understand these contributions, we investigated expression variability in a …

A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity

Liver cancer, of which hepatocellular carcinoma (HCC) is by far the most common type, is the second most deadly cancer (746,000 deaths in 2012). Currently, the only curative treatment for HCC is surgery to remove the malignancy (resection) or to …

A benchmark for microRNA quantification algorithms using the OpenArray platform

Several techniques have been tailored to the quantification of microRNA expression, including hybridization arrays, quantitative PCR (qPCR), and high-throughput sequencing. Each of these has certain strengths and limitations depending both on the …

Lessons from miR-143/145: The importance of cell-type localization of miRNAs

miR-143 and miR-145 are co-expressed microRNAs (miRNAs) that have been extensively studied as potential tumor suppressors. These miRNAs are highly expressed in the colon and are consistently reported as being downregulated in colorectal and other …