Distinct Roles of Jun : Fos and Jun : ATF Dimers in Oncogenesis
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ATF4 Promotes Angiogenesis and Neuronal Cell Death and Confers Ferroptosis in a Xct-Dependent Manner
OPEN Oncogene (2017) 36, 5593–5608 www.nature.com/onc ORIGINAL ARTICLE ATF4 promotes angiogenesis and neuronal cell death and confers ferroptosis in a xCT-dependent manner D Chen1,2,ZFan1,3, M Rauh4, M Buchfelder5, IY Eyupoglu1,5 and N Savaskan1,5,6 Activating transcription factor 4 (ATF4) is a critical mediator of metabolic and oxidative homeostasis and cell survival. ATF4 is elevated in response to diverse microenvironmental stresses, including starvation, ER stress damages and exposure to toxic factors. Here we show that ATF4 expression fosters the malignancy of primary brain tumors (WHO grade III and IV gliomas) and increases proliferation and tumor angiogenesis. Hence, ATF4 expression promotes cell migration and anchorage-independent cell growth, whereas siRNA-mediated knockdown of ATF4 attenuates these features of malignancy in human gliomas. Further experiments revealed that ATF4-dependent tumor promoting effects are mediated by transcriptional targeting the glutamate antiporter xCT/SCL7A11 (also known as system Xc-). Thus, xCT is elevated as a consequence of ATF4 activation. We further found evidence that ATF4-induced proliferation can be attenuated by pharmacological or genetic xCT inhibition and ferroptosis inducers such as sorafenib, erastin and GPx4 inhibitor RSL3. Further, fostered xCT expression promotes cell survival and growth in ATF4 knockdown cells. Moreover, increased xCT levels ameliorate sorafenib and erastin-induced ferroptosis. Conversely, ATF4 knockdown renders cells susceptible for erastin, sorafenib and RSL3-induced ferroptosis. We further identified that ATF4 promotes tumor-mediated neuronal cell death which can be alleviated by xCT inhibition. Moreover, elevated ATF4 expression in gliomas promotes tumor angiogenesis. Noteworthy, ATF4-induced angiogenesis could be diminished by ferroptosis inducers erastin and by GPx4 inhibitor RSL3. -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Feedback Regulation Between Initiation and Maturation Networks Orchestrates the Chromatin Dynamics of Epidermal Lineage
bioRxiv preprint doi: https://doi.org/10.1101/349308; this version posted June 18, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Li et al., p. 1 Feedback Regulation between Initiation and Maturation Networks Orchestrates the Chromatin Dynamics of Epidermal Lineage Commitment Lingjie Li1,3,4, Yong Wang2,4,7,8*, Jessica L. Torkelson1,3*, Gautam Shankar1, Jillian M. Pattison1,3, Hanson H. Zhen1,3, Zhana Duren2,4,7, Fengqin Fang5, Sandra P. Melo1, Samantha N. Piekos1,3, Jiang Li1, Eric J. Liaw1, Lang Chen7, Rui Li1,4, Marius Wernig6, Wing H. Wong2,4, Howard Y. Chang1,4, Anthony E. Oro1,3,9 1 Program in Epithelial Biology and Department of Dermatology 2 Department of Statistics and Biomedical Data Science 3 Center for Definitive and Curative Medicine 4 Center for Personal Dynamic Regulome 5 Division of Immunology and Rheumatology, Department of Medicine, 6 Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA. 7 CEMS, NCMIS, MDIS, Academy of Mathematics & Systems Science, Chinese Academy of Sciences, Beijing,100080, China 8 Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China *These authors made equal and independent contributions. 9 Correspondence to Lead Contact: Anthony E. Oro at [email protected] bioRxiv preprint doi: https://doi.org/10.1101/349308; this version posted June 18, 2018. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
A Flexible Microfluidic System for Single-Cell Transcriptome Profiling
www.nature.com/scientificreports OPEN A fexible microfuidic system for single‑cell transcriptome profling elucidates phased transcriptional regulators of cell cycle Karen Davey1,7, Daniel Wong2,7, Filip Konopacki2, Eugene Kwa1, Tony Ly3, Heike Fiegler2 & Christopher R. Sibley 1,4,5,6* Single cell transcriptome profling has emerged as a breakthrough technology for the high‑resolution understanding of complex cellular systems. Here we report a fexible, cost‑efective and user‑ friendly droplet‑based microfuidics system, called the Nadia Instrument, that can allow 3′ mRNA capture of ~ 50,000 single cells or individual nuclei in a single run. The precise pressure‑based system demonstrates highly reproducible droplet size, low doublet rates and high mRNA capture efciencies that compare favorably in the feld. Moreover, when combined with the Nadia Innovate, the system can be transformed into an adaptable setup that enables use of diferent bufers and barcoded bead confgurations to facilitate diverse applications. Finally, by 3′ mRNA profling asynchronous human and mouse cells at diferent phases of the cell cycle, we demonstrate the system’s ability to readily distinguish distinct cell populations and infer underlying transcriptional regulatory networks. Notably this provided supportive evidence for multiple transcription factors that had little or no known link to the cell cycle (e.g. DRAP1, ZKSCAN1 and CEBPZ). In summary, the Nadia platform represents a promising and fexible technology for future transcriptomic studies, and other related applications, at cell resolution. Single cell transcriptome profling has recently emerged as a breakthrough technology for understanding how cellular heterogeneity contributes to complex biological systems. Indeed, cultured cells, microorganisms, biopsies, blood and other tissues can be rapidly profled for quantifcation of gene expression at cell resolution. -
Decreased Expression of the Id3gene at 1P36.1 in Ovarian
British Journal of Cancer (2001) 84(3), 352–359 © 2001 Cancer Research Campaign doi: 10.1054/ bjoc.2000.1620, available online at http://www.idealibrary.com on http://www.bjcancer.com Decreased expression of the Id3 gene at 1p36.1 in ovarian adenocarcinomas JM Arnold1, SC Mok2, D Purdie1 and G Chenevix-Trench1,3 1The Queensland Institute of Medical Research, PO Box Royal Brisbane Hospital, Herston, Queensland, Australia, 4029; 2Laboratory of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproduction Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115; 3Department of Pathology, University of Queensland, St Lucia, Brisbane, Australia, 4067 Summary The molecular events that drive the initiation and progression of ovarian adenocarcinoma are not well defined. We have investigated changes in gene expression in ovarian cancer cell lines compared to an immortalized human ovarian surface epithelial cell line (HOSE) using a cDNA array. We identified 17 genes that were under-expressed and 10 genes that were over-expressed in the cell lines compared to the HOSE cells. One of the genes under-expressed in the ovarian cancer cell lines, Id3, a transcriptional inactivator, was selected for further investigation. Id3 mRNA was expressed at reduced levels in 6 out of 9 ovarian cancer cell lines compared to the HOSE cells while at the protein level, all 7 ovarian cancer cell lines examined expressed the Id3 protein at greatly reduced levels. Expression of Id3 mRNA was also examined in primary ovarian tumours and was found in only 12/38 (32%) cases. A search was conducted for mutations of Id3 in primary ovarian cancers using single stranded conformation polymorphism (SSCP) analysis. -
The Unfolded Protein Response: an Overview
biology Review The Unfolded Protein Response: An Overview Adam Read 1,2 and Martin Schröder 1,2,* 1 Department of Biosciences, Durham University, South Road, Durham DH1 3LE, UK; [email protected] 2 Biophysical Sciences Institute, Durham University, South Road, Durham DH1 3LE, UK * Correspondence: [email protected]; Tel.: +44-191-334-1316 Simple Summary: The unfolded protein response (UPR) is the cells’ way of maintaining the balance of protein folding in the endoplasmic reticulum, which is the section of the cell designated for folding proteins with specific destinations such as other organelles or to be secreted by the cell. The UPR is activated when unfolded proteins accumulate in the endoplasmic reticulum. This accumulation puts a greater load on the molecules in charge of folding the proteins, and therefore the UPR works to balance this by lowering the number of unfolded proteins present in the cell. This is done in multiple ways, such as lowering the number of proteins that need to be folded; increasing the folding ability of the endoplasmic reticulum and by removing some of the unfolded proteins which take longer to fold. If the UPR is successful at reducing the number of unfolded proteins, the UPR is inactivated and the cells protein folding balance is returned to normal. However, if the UPR is unsuccessful, then this can lead to cell death. Abstract: The unfolded protein response is the mechanism by which cells control endoplasmic reticulum (ER) protein homeostasis. Under normal conditions, the UPR is not activated; however, under certain stresses, such as hypoxia or altered glycosylation, the UPR can be activated due to an accumulation of unfolded proteins. -
Human Small Maf Proteins Form Heterodimers with CNC Family Transcription Factors and Recognize the NF-E2 Motif
Oncogene (1997) 14, 1901 ± 1910 1997 Stockton Press All rights reserved 0950 ± 9232/97 $12.00 Human small Maf proteins form heterodimers with CNC family transcription factors and recognize the NF-E2 motif Tsutomu Toki1, Jugou Itoh2, Jun'ichi Kitazawa1, Koji Arai1, Koki Hatakeyama3, Jun-itsu Akasaka4, Kazuhiko Igarashi5, Nobuo Nomura6, Masaru Yokoyama1, Masayuki Yamamoto5 and Etsuro Ito1 1Department of Pediatrics, 2Medicine, School of Medicine; 3Department of Biology, Faculty of Sciences, Hirosaki University, Hirosaki 036; 4Department of Biochemistry, Tohoku University School of Medicine, Sendai 980-77; 5Center for TARA and Institute of Basic Medical Sciences, University of Tsukuba, Tsukuba 305; 6Kazusa DNA Institute, Kisarazu 292, Japan The transcription factor NF-E2, a heterodimeric protein Talbot et al., 1990; Talbot and Grosveld, 1991; complex composed of p45 and small Maf family Kotkow and Orkin, 1995). Recent analyses demon- proteins, is considered crucial for the regulation of strated that NF-E2 is composed of two subunits erythroid gene expression and platelet formation. To (Andrews et al., 1993a,b; Igarashi et al., 1994). The facilitate the characterization of NF-E2 functions in large p45 subunit belongs to a family of basic leucine- human cells, we isolated cDNAs encoding two members zipper (bZip) proteins that is closely related to the of the small Maf family, MafK and MafG. The human Drosophila Cap`n'colar (the CNC family) factor mafK and mafG genes encode proteins of 156 and 162 (Mohler et al., 1991). It cannot bind to the NF-E2 amino acid residues, respectively, whose deduced amino sequence as a homodimer, but does do after forming acid sequences show approximately 95% identity to their heterodimers with chicken small Maf family proteins, respective chicken counterparts. -
A KDM6 Inhibitor Potently Induces ATF4 and Its Target Gene Expression Through HRI Activation and by UTX Inhibition
www.nature.com/scientificreports OPEN A KDM6 inhibitor potently induces ATF4 and its target gene expression through HRI activation and by UTX inhibition Shojiro Kitajima1,2,8, Wendi Sun1,8, Kian Leong Lee1,3,8, Jolene Caifeng Ho1, Seiichi Oyadomari4, Takashi Okamoto5, Hisao Masai6, Lorenz Poellinger1,7,9 & Hiroyuki Kato1,5,6* UTX/KDM6A encodes a major histone H3 lysine 27 (H3K27) demethylase, and is frequently mutated in various types of human cancers. Although UTX appears to play a crucial role in oncogenesis, the mechanisms involved are still largely unknown. Here we show that a specifc pharmacological inhibitor of H3K27 demethylases, GSK-J4, induces the expression of transcription activating factor 4 (ATF4) protein as well as the ATF4 target genes (e.g. PCK2, CHOP, REDD1, CHAC1 and TRIB3). ATF4 induction by GSK-J4 was due to neither transcriptional nor post-translational regulation. In support of this view, the ATF4 induction was almost exclusively dependent on the heme-regulated eIF2α kinase (HRI) in mouse embryonic fbroblasts (MEFs). Gene expression profles with UTX disruption by CRISPR-Cas9 editing and the following stable re-expression of UTX showed that UTX specifcally suppresses the expression of the ATF4 target genes, suggesting that UTX inhibition is at least partially responsible for the ATF4 induction. Apoptosis induction by GSK-J4 was partially and cell-type specifcally correlated with the activation of ATF4-CHOP. These fndings highlight that the anti-cancer drug candidate GSK-J4 strongly induces ATF4 and its target genes via HRI activation and raise a possibility that UTX might modulate cancer formation by regulating the HRI-ATF4 axis. -
Combinatorial Bzip Dimers Display Complex DNA-Binding Specificity Landscapes
Combinatorial bZIP dimers display complex DNA-binding specificity landscapes The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Rodriguez-Martinez, Jose A et al. “Combinatorial bZIP Dimers Display Complex DNA-Binding Specificity Landscapes.” eLife 6 (2017): n. pag. As Published http://dx.doi.org/10.7554/eLife.19272 Publisher eLife Sciences Publications, Ltd. Version Final published version Citable link http://hdl.handle.net/1721.1/110147 Terms of Use Creative Commons Attribution 4.0 International License Detailed Terms http://creativecommons.org/licenses/by-nc/4.0/ RESEARCH ARTICLE Combinatorial bZIP dimers display complex DNA-binding specificity landscapes Jose´ A Rodrı´guez-Martı´nez1†, Aaron W Reinke2†, Devesh Bhimsaria1,3†, Amy E Keating2,4, Aseem Z Ansari1,5* 1Department of Biochemistry, University of Wisconsin-Madison, Madison, United States; 2Department of Biology, Massachusetts Institute of Technology, Cambridge, United States; 3Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Unites States; 4Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, United States; 5The Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States Abstract How transcription factor dimerization impacts DNA-binding specificity is poorly understood. Guided by protein dimerization properties, we examined DNA binding specificities of 270 human bZIP pairs. DNA interactomes of 80 heterodimers and 22 homodimers revealed that 72% of heterodimer motifs correspond to conjoined half-sites preferred by partnering monomers. Remarkably, the remaining motifs are composed of variably-spaced half-sites (12%) or ‘emergent’ sites (16%) that cannot be readily inferred from half-site preferences of partnering monomers. -
Tgfβ-Regulated Gene Expression by Smads and Sp1/KLF-Like Transcription Factors in Cancer VOLKER ELLENRIEDER
ANTICANCER RESEARCH 28 : 1531-1540 (2008) Review TGFβ-regulated Gene Expression by Smads and Sp1/KLF-like Transcription Factors in Cancer VOLKER ELLENRIEDER Signal Transduction Laboratory, Internal Medicine, Department of Gastroenterology and Endocrinology, University of Marburg, Marburg, Germany Abstract. Transforming growth factor beta (TGF β) controls complex induces the canonical Smad signaling molecules which vital cellular functions through its ability to regulate gene then translocate into the nucleus to regulate transcription (2). The expression. TGFβ binding to its transmembrane receptor cellular response to TGF β can be extremely variable depending kinases initiates distinct intracellular signalling cascades on the cell type and the activation status of a cell at a given time. including the Smad signalling and transcription factors and also For instance, TGF β induces growth arrest and apoptosis in Smad-independent pathways. In normal epithelial cells, TGF β healthy epithelial cells, whereas it can also promote tumor stimulation induces a cytostatic program which includes the progression through stimulation of cell proliferation and the transcriptional repression of the c-Myc oncogene and the later induction of an epithelial-to-mesenchymal transition of tumor induction of the cell cycle inhibitors p15 INK4b and p21 Cip1 . cells (1, 3). In the last decade it has become clear that both the During carcinogenesis, however, many tumor cells lose their tumor suppressing and the tumor promoting functions of TGF β ability to respond to TGF β with growth inhibition, and instead, are primarily regulated on the level of gene expression through activate genes involved in cell proliferation, invasion and Smad-dependent and -independent mechanisms (1, 2, 4).