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1.
Proc Natl Acad Sci U S A ; 119(27): e2111262119, 2022 07 05.
Article En | MEDLINE | ID: mdl-35776542

All cells contain specialized signaling pathways that enable adaptation to specific molecular stressors. Yet, whether these pathways are centrally regulated in complex physiological stress states remains unclear. Using genome-scale fitness screening data, we quantified the stress phenotype of 739 cancer cell lines, each representing a unique combination of intrinsic tumor stresses. Integrating dependency and stress perturbation transcriptomic data, we illuminated a network of genes with vital functions spanning diverse stress contexts. Analyses for central regulators of this network nominated C16orf72/HAPSTR1, an evolutionarily ancient gene critical for the fitness of cells reliant on multiple stress response pathways. We found that HAPSTR1 plays a pleiotropic role in cellular stress signaling, functioning to titrate various specialized cell-autonomous and paracrine stress response programs. This function, while dispensable to unstressed cells and nematodes, is essential for resilience in the presence of stressors ranging from DNA damage to starvation and proteotoxicity. Mechanistically, diverse stresses induce HAPSTR1, which encodes a protein expressed as two equally abundant isoforms. Perfectly conserved residues in a domain shared between HAPSTR1 isoforms mediate oligomerization and binding to the ubiquitin ligase HUWE1. We show that HUWE1 is a required cofactor for HAPSTR1 to control stress signaling and that, in turn, HUWE1 feeds back to ubiquitinate and destabilize HAPSTR1. Altogether, we propose that HAPSTR1 is a central rheostat in a network of pathways responsible for cellular adaptability, the modulation of which may have broad utility in human disease.


DNA Damage , Genetic Fitness , Nuclear Proteins , Stress, Physiological , Amino Acid Motifs , Animals , Cell Line, Tumor , Conserved Sequence , DNA Damage/genetics , Humans , Nuclear Proteins/chemistry , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Protein Domains , Signal Transduction/genetics , Stress, Physiological/genetics , Tumor Suppressor Proteins/metabolism , Ubiquitin-Protein Ligases/metabolism
2.
Sci Adv ; 8(11): eabj6526, 2022 Mar 18.
Article En | MEDLINE | ID: mdl-35294249

Heat shock factor 1 (HSF1) is well known for its role in the heat shock response (HSR), where it drives a transcriptional program comprising heat shock protein (HSP) genes, and in tumorigenesis, where it drives a program comprising HSPs and many noncanonical target genes that support malignancy. Here, we find that HSF2, an HSF1 paralog with no substantial role in the HSR, physically and functionally interacts with HSF1 across diverse types of cancer. HSF1 and HSF2 have notably similar chromatin occupancy and regulate a common set of genes that include both HSPs and noncanonical transcriptional targets with roles critical in supporting malignancy. Loss of either HSF1 or HSF2 results in a dysregulated response to nutrient stresses in vitro and reduced tumor progression in cancer cell line xenografts. Together, these findings establish HSF2 as a critical cofactor of HSF1 in driving a cancer cell transcriptional program to support the anabolic malignant state.

3.
Nat Commun ; 11(1): 5722, 2020 11 12.
Article En | MEDLINE | ID: mdl-33184288

Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we develop Quantitative and Multiplexed Analysis of Phenotype by Sequencing (QMAP-Seq), which leverages next-generation sequencing for pooled high-throughput chemical-genetic profiling. We apply QMAP-Seq to investigate how cellular stress response factors affect therapeutic response in cancer. Using minimal automation, we treat pools of 60 cell types-comprising 12 genetic perturbations in five cell lines-with 1440 compound-dose combinations, generating 86,400 chemical-genetic measurements. QMAP-Seq produces precise and accurate quantitative measures of acute drug response comparable to gold standard assays, but with increased throughput at lower cost. Moreover, QMAP-Seq reveals clinically actionable drug vulnerabilities and functional relationships involving these stress response factors, many of which are activated in cancer. Thus, QMAP-Seq provides a broadly accessible and scalable strategy for chemical-genetic profiling in mammalian cells.


Gene Expression Profiling/methods , High-Throughput Nucleotide Sequencing/methods , Phenotype , Animals , Breast Neoplasms/genetics , Cell Engineering , Cell Line, Tumor , Cell Survival , Drug Screening Assays, Antitumor , Gene Regulatory Networks , High-Throughput Screening Assays/methods , Humans , Neoplasms/genetics , Systems Biology/methods
4.
Oncotarget ; 8(49): 84643-84658, 2017 Oct 17.
Article En | MEDLINE | ID: mdl-29156673

The death receptor CD95/Fas can be activated by immune cells to kill cancer cells. shRNAs and siRNAs derived from CD95 or CD95 ligand (CD95L) are highly toxic to most cancer cells. We recently found that these sh/siRNAs kill cancer cells in the absence of the target by targeting the 3'UTRs of critical survival genes through canonical RNAi. We have named this unique form of off-target effect DISE (for death induced by survival gene elimination). DISE preferentially kills transformed cells and cancer stem cells. We demonstrate that DISE induction occurs in cancer cells in vivo after introducing a lentiviral CD95L derived shRNA (shL3) into HeyA8 ovarian cancer cells grown as i.p. xenografts in mice, when compared to a scrambled shRNA. To demonstrate the possibility of therapeutically inducing DISE, we coupled siRNAs to templated lipoprotein nanoparticles (TLP). In vitro, TLPs loaded with a CD95L derived siRNA (siL3) selectively silenced a biosensor comprised of Venus and CD95L ORF and killed ovarian cancer cells. In vivo, two siRNA-TLPs (siL2-TLP and siL3-TLP) reduced tumor growth similarly as observed for cells expressing the shL3 vector. These data suggest that it is possible to kill ovarian cancer cells in vivo via DISE induction using siRNA-TLPs.

5.
Cell Rep ; 18(10): 2373-2386, 2017 03 07.
Article En | MEDLINE | ID: mdl-28273453

Stimulation of CD95/Fas drives and maintains cancer stem cells (CSCs). We now report that this involves activation of signal transducer and activator of transcription 1 (STAT1) and induction of STAT1-regulated genes and that this process is inhibited by active caspases. STAT1 is enriched in CSCs in cancer cell lines, patient-derived human breast cancer, and CD95high-expressing glioblastoma neurospheres. CD95 stimulation of cancer cells induced secretion of type I interferons (IFNs) that bind to type I IFN receptors, resulting in activation of Janus-activated kinases, activation of STAT1, and induction of a number of STAT1-regulated genes that are part of a gene signature recently linked to therapy resistance in five primary human cancers. Consequently, we identified type I IFNs as drivers of cancer stemness. Knockdown or knockout of STAT1 resulted in a strongly reduced ability of CD95L or type I IFN to increase cancer stemness. This identifies STAT1 as a key regulator of the CSC-inducing activity of CD95.


Interferon Type I/metabolism , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , STAT1 Transcription Factor/metabolism , fas Receptor/metabolism , Breast Neoplasms/genetics , Breast Neoplasms/pathology , Caspase 3/metabolism , Cell Line, Tumor , Down-Regulation , Female , Gene Expression Regulation, Neoplastic , Gene Knockout Techniques , Humans , Isotope Labeling , Phosphorylation , RNA, Small Interfering/metabolism , Signal Transduction , Up-Regulation
6.
Cancer Genet ; 208(5): 279-87, 2015 May.
Article En | MEDLINE | ID: mdl-25732734

MicroRNAs are short single-stranded RNAs that regulate target gene expression by binding to complementary sites in the 3' untranslated region (UTR) of their mRNA targets. The polycistronic miR-17-92 cluster, which encodes miR-17, miR-18a, miR-19a, miR-20a, miR-19b, and miR-92a, was previously shown to be overexpressed in multiple types of cancer. In this study, target gene prediction algorithms were used to predict potential targets of the miR-17-92 cluster. WEE1, a kinase that inhibits cell cycle progression, was identified as a possible target of five of the six miRNAs in the cluster. Luciferase reporter assays were used to determine that miR-17, miR-20a, and miR-18a specifically target nucleotides 465-487 of the 3' UTR of WEE1, whereas miR-19a and miR-19b exert control on WEE1 by targeting nucleotides 1069-1091. A negative correlation was determined between endogenous miR-17 or miR-19a expression and endogenous WEE1 protein expression in the same panel of cell lines. We conclude that WEE1 is a valid target of the miR-17-92 cluster in leukemia.


3' Untranslated Regions/genetics , Cell Cycle Proteins/genetics , Gene Expression Regulation, Leukemic , Leukemia/genetics , MicroRNAs/genetics , Nuclear Proteins/genetics , Protein-Tyrosine Kinases/genetics , Base Sequence , Cell Line, Tumor , HEK293 Cells , HL-60 Cells , Humans , MicroRNAs/biosynthesis , Molecular Sequence Data , RNA, Long Noncoding
7.
Cell Rep ; 7(1): 208-22, 2014 Apr 10.
Article En | MEDLINE | ID: mdl-24656822

CD95 (Fas/APO-1), when bound by its cognate ligand CD95L, induces cells to die by apoptosis. We now show that elimination of CD95 or CD95L results in a form of cell death that is independent of caspase-8, RIPK1/MLKL, and p53, is not inhibited by Bcl-xL expression, and preferentially affects cancer cells. All tumors that formed in mouse models of low-grade serous ovarian cancer or chemically induced liver cancer with tissue-specific deletion of CD95 still expressed CD95, suggesting that cancer cannot form in the absence of CD95. Death induced by CD95R/L elimination (DICE) is characterized by an increase in cell size, production of mitochondrial ROS, and DNA damage. It resembles a necrotic form of mitotic catastrophe. No single drug was found to completely block this form of cell death, and it could also not be blocked by the knockdown of a single gene, making it a promising way to kill cancer cells.


Fas Ligand Protein/deficiency , Neoplasms/pathology , fas Receptor/deficiency , Animals , Apoptosis/physiology , Cell Death/physiology , Cell Line, Tumor , Disease Models, Animal , Fas Ligand Protein/metabolism , Female , Gene Knockdown Techniques , HCT116 Cells , Hep G2 Cells , Humans , MCF-7 Cells , Mice , Neoplasms/metabolism , fas Receptor/metabolism
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