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Single cell transcriptomics – methods and applications

Single cell transcriptomics – methods and applications

Traditionally, gene expression measurements were performed on “bulk” samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular ...

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Considerations for RNA-Seq Analysis of Circadian Rhythms

Considerations for RNA-Seq Analysis of Circadian Rhythms

Circadian rhythms are daily endogenous oscillations of behavior, metabolism, and physiology. At a molecular level, these oscillations are generated by transcriptional-translational feedback loops composed of core clock genes. In turn, core clock genes drive the rhythmic accumulation of downstream outputs-termed ...

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The landscape of long noncoding RNAs in the human transcriptome

The landscape of long noncoding RNAs in the human transcriptome

Long noncoding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. To delineate genome-wide lncRNA expression, researchers at the University of Michigan curated 7,256 RNA sequencing (RNA-seq) libraries from tumors, normal tissues and cell ...

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A comprehensive transcriptional portrait of human cancer cell lines

A comprehensive transcriptional portrait of human cancer cell lines

Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Although substantial effort has been made to define the genomic constitution of cancer cell line panels, the transcriptome remains understudied. Here researchers ...

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