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Halloran, J.

Publications and source records attributed to Halloran, J..

2 recordsLinked to original sources

Transient activation of the UPRER is an essential step in the acquisition of pluripotency during reprogramming

Somatic cells can be reprogrammed into pluripotent stem cells by the forced expression of the OCT4, SOX2, KLF4 and c-MYC transcription factors. This process requires the reshaping of not only epigenetic landscapes, but the global remodeling of cell identity, structure, and function including such basic processes of metabolism and organelle form and function. Cellular reprogramming is a stochastic process with only a marginally measureable fraction of cells successfully crossing these, and many other, cellular epitomes to acquire the fully pluripotent state. We hypothesize that this variation is due, in part, by variable regulation of the proteostasis network and its influence upon the protein folding environment within cells and their organelles upon the remodeling process. We find that the endoplasmic reticulum unfolded protein response (UPRER), the heat-shock response (HSR) and the mitochondrial unfolded protein response (UPRmt), which monitor and ensure the quality of the proteome of, respectively, the ER, the cytosol and the mitochondria during stress, are activated during cellular reprogramming. Particularly, we find that the UPRER is essential for reprograming, and ectopic, transient activation of the UPRER, either genetically or pharmacologically, enhances the success of cells to reach a pluripotent state. Finally, and most revealing, we find that stochastic activation of the UPRER can predict the reprogramming efficiency of naive cells. The results of these experiments indicate that the low efficiency and stochasticity of cellular reprogramming is partly the result of the inability to initiate a proper ER stress response for remodeling of the ER and its proteome during the reprogramming process. The results reported here display only one aspect of the proteostasis network and suggest that proper regulation of many more components of this network might be essential to acquire the pluripotent state.

cell biology↗

Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies

A comprehensive characterization of tumor genetic heterogeneity is critical for understanding how cancers evolve and escape treatment. Although many algorithms have been developed for capturing tumor heterogeneity, they are designed for analyzing either a single type of genomic aberration or individual biopsies. Here we present THEMIS (Tumor Heterogeneity Extensible Modeling via an Integrative System), which allows for the joint analysis of different types of genomic aberrations from multiple biopsies taken from the same patient, using a dynamic graphical model. Simulation experiments demonstrate higher accuracy of THEMIS over its ancestor, TITAN. The heterogeneity analysis results from THEMIS are validated with single cell DNA sequencing from a clinical tumor biopsy. When THEMIS is used to analyze tumor heterogeneity among multiple biopsies from the same patient, it helps to reveal the mutation accumulation history, track cancer progression, and identify the mutations related to treatment resistance. We implement our model via an extensible modeling platform, which makes our approach open, reproducible, and easy for others to extend.

bioinformatics↗