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Dive into the research topics where Ethan S. Sokol is active.

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Featured researches published by Ethan S. Sokol.


Cancer Discovery | 2014

Epithelial-to-Mesenchymal Transition Activates PERK–eIF2α and Sensitizes Cells to Endoplasmic Reticulum Stress

Yuxiong Feng; Ethan S. Sokol; Catherine A. Del Vecchio; Sandhya Sanduja; Jasper H. L. Claessen; Theresa Proia; Dexter X. Jin; Ferenc Reinhardt; Hidde L. Ploegh; Qiu Wang; Piyush B. Gupta

UNLABELLED Epithelial-to-mesenchymal transition (EMT) promotes both tumor progression and drug resistance, yet few vulnerabilities of this state have been identified. Using selective small molecules as cellular probes, we show that induction of EMT greatly sensitizes cells to agents that perturb endoplasmic reticulum (ER) function. This sensitivity to ER perturbations is caused by the synthesis and secretion of large quantities of extracellular matrix (ECM) proteins by EMT cells. Consistent with their increased secretory output, EMT cells display a branched ER morphology and constitutively activate the PERK-eIF2α axis of the unfolded protein response (UPR). Protein kinase RNA-like ER kinase (PERK) activation is also required for EMT cells to invade and metastasize. In human tumor tissues, EMT gene expression correlates strongly with both ECM and PERK-eIF2α genes, but not with other branches of the UPR. Taken together, our findings identify a novel vulnerability of EMT cells, and demonstrate that the PERK branch of the UPR is required for their malignancy. SIGNIFICANCE EMT drives tumor metastasis and drug resistance, highlighting the need for therapies that target this malignant subpopulation. Our findings identify a previously unrecognized vulnerability of cancer cells that have undergone an EMT: sensitivity to ER stress. We also find that PERK-eIF2α signaling, which is required to maintain ER homeostasis, is also indispensable for EMT cells to invade and metastasize.


eLife | 2014

Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell state

Yarden Katz; Feifei Li; Nicole J. Lambert; Ethan S. Sokol; Wai Leong Tam; Albert W. Cheng; Edoardo M. Airoldi; Christopher J. Lengner; Piyush B. Gupta; Zhengquan Yu; Rudolf Jaenisch; Christopher B. Burge

The conserved Musashi (Msi) family of RNA binding proteins are expressed in stem/progenitor and cancer cells, but generally absent from differentiated cells, consistent with a role in cell state regulation. We found that Msi genes are rarely mutated but frequently overexpressed in human cancers and are associated with an epithelial-luminal cell state. Using ribosome profiling and RNA-seq analysis, we found that Msi proteins regulate translation of genes implicated in epithelial cell biology and epithelial-to-mesenchymal transition (EMT), and promote an epithelial splicing pattern. Overexpression of Msi proteins inhibited the translation of Jagged1, a factor required for EMT, and repressed EMT in cell culture and in mammary gland in vivo. Knockdown of Msis in epithelial cancer cells promoted loss of epithelial identity. Our results show that mammalian Msi proteins contribute to an epithelial gene expression program in neural and mammary cell types. DOI: http://dx.doi.org/10.7554/eLife.03915.001


PLOS Biology | 2014

De-differentiation confers multidrug resistance via noncanonical PERK-Nrf2 signaling.

Catherine A. Del Vecchio; Yuxiong Feng; Ethan S. Sokol; Erik J. Tillman; Sandhya Sanduja; Ferenc Reinhardt; Piyush B. Gupta

Upregulation of PERK-Nrf2 signaling is a key mechanism by which de-differentiated cancer cells gain multi-drug resistance.


Proceedings of the National Academy of Sciences of the United States of America | 2017

Suppression of 19S proteasome subunits marks emergence of an altered cell state in diverse cancers

Peter Tsvetkov; Ethan S. Sokol; Dexter X. Jin; Zarina Brune; Prathapan Thiru; Mahmoud Ghandi; Levi A. Garraway; Piyush B. Gupta; Sandro Santagata; Luke Whitesell; Susan Lindquist

Significance In previous work, we used genome-wide screening to uncover a counterintuitive mechanism by which cells can acquire resistance to inhibitors of the proteasome’s catalytic core through experimentally induced imbalances in the composition of its regulatory particle. However, in many cases, mechanisms uncovered in vitro for acquired resistance often do not translate to the context of actual clinical cancers. Here, we show that this mechanism is actually deployed spontaneously and naturally in diverse human cancer lines and is associated not only with increased resistance to proteasome inhibitors both in vitro and in the clinic but also is symptomatic of a much more broadly altered state with a unique gene signature and drug targetable vulnerabilities. The use of proteasome inhibitors to target cancer’s dependence on altered protein homeostasis has been greatly limited by intrinsic and acquired resistance. Analyzing data from thousands of cancer lines and tumors, we find that those with suppressed expression of one or more 19S proteasome subunits show intrinsic proteasome inhibitor resistance. Moreover, such proteasome subunit suppression is associated with poor outcome in myeloma patients, where proteasome inhibitors are a mainstay of treatment. Beyond conferring resistance to proteasome inhibitors, proteasome subunit suppression also serves as a sentinel of a more global remodeling of the transcriptome. This remodeling produces a distinct gene signature and new vulnerabilities to the proapoptotic drug, ABT-263. This frequent, naturally arising imbalance in 19S regulatory complex composition is achieved through a variety of mechanisms, including DNA methylation, and marks the emergence of a heritably altered and therapeutically relevant state in diverse cancers.


PLOS Computational Biology | 2015

Perturbation-Expression Analysis Identifies RUNX1 as a Regulator of Human Mammary Stem Cell Differentiation

Ethan S. Sokol; Sandhya Sanduja; Dexter X. Jin; Daniel H. Miller; Robert Austin Mathis; Piyush B. Gupta

The search for genes that regulate stem cell self-renewal and differentiation has been hindered by a paucity of markers that uniquely label stem cells and early progenitors. To circumvent this difficulty we have developed a method that identifies cell-state regulators without requiring any markers of differentiation, termed Perturbation-Expression Analysis of Cell States (PEACS). We have applied this marker-free approach to screen for transcription factors that regulate mammary stem cell differentiation in a 3D model of tissue morphogenesis and identified RUNX1 as a stem cell regulator. Inhibition of RUNX1 expanded bipotent stem cells and blocked their differentiation into ductal and lobular tissue rudiments. Reactivation of RUNX1 allowed exit from the bipotent state and subsequent differentiation and mammary morphogenesis. Collectively, our findings show that RUNX1 is required for mammary stem cells to exit a bipotent state, and provide a new method for discovering cell-state regulators when markers are not available.


Molecular and Cellular Oncology | 2014

The endoplasmic reticulum may be an Achilles' heel of cancer cells that have undergone an epithelial-to-mesenchymal transition

Yuxiong Feng; Ethan S. Sokol; Piyush B. Gupta

In a recent report published in Cancer Discovery we identified a novel vulnerability of cancer cells that have undergone an epithelial–mesenchymal transition (EMT) and established that the PERK branch of the unfolded protein response is constitutively activated upon EMT. In this commentary, we summarize and provide context for our findings.


Proceedings of the National Academy of Sciences of the United States of America | 2017

SMARCE1 is required for the invasive progression of in situ cancers

Ethan S. Sokol; Yuxiong Feng; Dexter X. Jin; Minu D. Tizabi; Daniel H. Miller; Malkiel A. Cohen; Sandhya Sanduja; Ferenc Reinhardt; Jai P. Pandey; Daphne A. Superville; Rudolf Jaenisch; Piyush B. Gupta

Significance More than half of ductal carcinoma in situ (DCIS) lesions will never progress to invasive breast cancers. However, the factors that drive invasion are not well understood. Our findings establish SMARCE1 as a clinically relevant factor that promotes the invasive progression of early-stage breast cancers. SMARCE1 drives invasion by serving as a master regulator of genes encoding proinvasive ECM and proteases required to degrade basement membrane. In functional studies in 3D cultures and animal models, SMARCE1 is dispensable for tumor growth but is required for the invasive and metastatic progression of cancers. In patients, SMARCE1 expression specifically identifies early-stage breast, lung, and ovarian cancers that are likely to eventually progress and metastasize. Advances in mammography have sparked an exponential increase in the detection of early-stage breast lesions, most commonly ductal carcinoma in situ (DCIS). More than 50% of DCIS lesions are benign and will remain indolent, never progressing to invasive cancers. However, the factors that promote DCIS invasion remain poorly understood. Here, we show that SMARCE1 is required for the invasive progression of DCIS and other early-stage tumors. We show that SMARCE1 drives invasion by regulating the expression of secreted proteases that degrade basement membrane, an ECM barrier surrounding all epithelial tissues. In functional studies, SMARCE1 promotes invasion of in situ cancers growing within primary human mammary tissues and is also required for metastasis in vivo. Mechanistically, SMARCE1 drives invasion by forming a SWI/SNF-independent complex with the transcription factor ILF3. In patients diagnosed with early-stage cancers, SMARCE1 expression is a strong predictor of eventual relapse and metastasis. Collectively, these findings establish SMARCE1 as a key driver of invasive progression in early-stage tumors.


Open Biology | 2017

Cancer cells exhibit clonal diversity in phenotypic plasticity

Robert Austin Mathis; Ethan S. Sokol; Piyush B. Gupta

Phenotypic heterogeneity in cancers is associated with invasive progression and drug resistance. This heterogeneity arises in part from the ability of cancer cells to switch between phenotypic states, but the dynamics of this cellular plasticity remain poorly understood. Here we apply DNA barcodes to quantify and track phenotypic plasticity across hundreds of clones in a population of cancer cells exhibiting epithelial or mesenchymal differentiation phenotypes. We find that the epithelial-to-mesenchymal cell ratio is highly variable across the different clones in cancer cell populations, but remains stable for many generations within the progeny of any single clone—with a heritability of 0.89. To estimate the effects of combination therapies on phenotypically heterogeneous tumours, we generated quantitative simulations incorporating empirical data from our barcoding experiments. These analyses indicated that combination therapies which alternate between epithelial- and mesenchymal-specific treatments eventually select for clones with increased phenotypic plasticity. However, this selection could be minimized by increasing the frequency of alternation between treatments, identifying designs that may minimize selection for increased phenotypic plasticity. These findings establish new insights into phenotypic plasticity in cancer, and suggest design principles for optimizing the effectiveness of combination therapies for phenotypically heterogeneous tumours.


Methods of Molecular Biology | 2017

3D Primary Culture Model to Study Human Mammary Development.

Daniel H. Miller; Ethan S. Sokol; Piyush B. Gupta

We present a protocol for expanding human mammary tissues from primary patient-derived cells in three-dimensional (3D) cultures. The primary epithelial cells are seeded into 3D hydrogels with defined components, which include both proteins and carbohydrates present in mammary tissue. Over a span of 10-14 days, the seeded cells form mammary tissues with complex ductal-lobular topologies and include luminal and basal cells in the correct orientation, together with cells that stain positively for stem cell markers. In addition to recapitulating key architectural features of human mammary tissue, the expanded tissues also respond to lactogenic hormones including estrogen, progesterone, and prolactin. We anticipate that these cultures will prove useful for studies of mammary development and breast cancer.


Stem cell reports | 2018

BCL11B Drives Human Mammary Stem Cell Self-Renewal In Vitro by Inhibiting Basal Differentiation

Daniel H. Miller; Dexter X. Jin; Ethan S. Sokol; Janel R. Cabrera; Daphne A. Superville; Rebecca A. Gorelov; Charlotte Kuperwasser; Piyush B. Gupta

Summary The epithelial compartment of the mammary gland contains basal and luminal cell lineages, as well as stem and progenitor cells that reside upstream in the differentiation hierarchy. Stem and progenitor cell differentiation is regulated to maintain adult tissue and mediate expansion during pregnancy and lactation. The genetic factors that regulate the transition of cells between differentiation states remain incompletely understood. Here, we present a genome-scale method to discover genes driving cell-state specification. Applying this method, we identify a transcription factor, BCL11B, which drives stem cell self-renewal in vitro, by inhibiting differentiation into the basal lineage. To validate BCL11Bs functional role, we use two-dimensional colony-forming and three-dimensional tissue differentiation assays to assess the lineage differentiation potential and functional abilities of primary human mammary cells. These findings show that BCL11B regulates mammary cell differentiation and demonstrate the utility of our proposed genome-scale strategy for identifying lineage regulators in mammalian tissues.

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Piyush B. Gupta

Massachusetts Institute of Technology

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Yuxiong Feng

Massachusetts Institute of Technology

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Dexter X. Jin

Massachusetts Institute of Technology

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Ferenc Reinhardt

Massachusetts Institute of Technology

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Sandhya Sanduja

Massachusetts Institute of Technology

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Daniel H. Miller

Massachusetts Institute of Technology

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Catherine A. Del Vecchio

Massachusetts Institute of Technology

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Robert Austin Mathis

Massachusetts Institute of Technology

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Erik J. Tillman

Massachusetts Institute of Technology

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