Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes.

Induced pluripotent stem cells (iPSCs) can be derived from differentiated cells, enabling the generation of personalized disease models by differentiating patient-derived iPSCs into disease-relevant cell lines. While genetic variability between different iPSC lines affects differentiation potential, how this variability in somatic cells affects pluripotent potential is less understood. We generated and compared transcriptomic data from 72 dermal fibroblast-iPSC pairs with consistent variation in reprogramming efficiency.

Ras Post-transcriptionally Enhances a Pre-malignantly Primed EMT to Promote Invasion.

Epithelial-to-mesenchymal transition (EMT) is integral to cancer progression, with considerable evidence that EMT has multiple intermediary stages. Understanding the mechanisms of this stepwise activation is of great interest. We recreated a genetically defined model in which primary cells were immortalized, resulting in migratory capacity, and subsequently H-Ras-transformed, causing malignancy and invasion.

RNA regulons in cancer and inflammation.

Gene expression is the fundamental driving force that coordinates normal cellular processes and adapts to dysfunctional conditions such as oncogenic development and progression. While transcription is the basal process of gene expression, RNA transcripts are both the templates that encode proteins as well as perform functions that directly regulate diverse cellular processes. All levels of gene expression require coordination to optimize available resources, but how global gene expression drives cancers or responds to disrupting oncogenic mutations is not understood.

Analysis of post-transcriptional regulation during cancer progression using a donor-derived isogenic model of tumorigenesis.

Post-transcriptional regulation of gene expression by RNA binding proteins (RBPs) and non-coding RNAs plays an important role in global gene expression. Many post-transcriptional regulators are misexpressed and misregulated in cancers, resulting in altered programs of protein biosynthesis that can drive tumor progression. While comparative studies of several RBPs and microRNAs expressed in various cancer types have been reported, a model system that can be used to quantify RBP regulation and functional outcomes during the initiation and early stages of tumorigenesis is lacking.

DO-RIP-seq to quantify RNA binding sites transcriptome-wide.

Post-transcriptional processes orchestrate gene expression through dynamic protein-RNA interactions. These interactions occur at specific sites determined by RNA sequence, secondary structure, or nucleotide modifications. Methods have been developed either to quantify binding of whole transcripts or to identify the binding sites, but there is none proven to quantify binding at both the whole transcript and binding site levels.

Drosophila muller f elements maintain a distinct set of genomic properties over 40 million years of evolution.

The Muller F element (4.2 Mb, ~80 protein-coding genes) is an unusual autosome of Drosophila melanogaster; it is mostly heterochromatic with a low recombination rate. To investigate how these properties impact the evolution of repeats and genes, we manually improved the sequence and annotated the genes on the D.