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Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Machine-Learning and Chemicogenomics Approach Defi Nes and Predicts Cross-Talk of Hippo and MAPK Pathways
Published OnlineFirst November 18, 2020; DOI: 10.1158/2159-8290.CD-20-0706 RESEARCH ARTICLE Machine -Learning and Chemicogenomics Approach Defi nes and Predicts Cross-Talk of Hippo and MAPK Pathways Trang H. Pham 1 , Thijs J. Hagenbeek 1 , Ho-June Lee 1 , Jason Li 2 , Christopher M. Rose 3 , Eva Lin 1 , Mamie Yu 1 , Scott E. Martin1 , Robert Piskol 2 , Jennifer A. Lacap 4 , Deepak Sampath 4 , Victoria C. Pham 3 , Zora Modrusan 5 , Jennie R. Lill3 , Christiaan Klijn 2 , Shiva Malek 1 , Matthew T. Chang 2 , and Anwesha Dey 1 ABSTRACT Hippo pathway dysregulation occurs in multiple cancers through genetic and non- genetic alterations, resulting in translocation of YAP to the nucleus and activation of the TEAD family of transcription factors. Unlike other oncogenic pathways such as RAS, defi ning tumors that are Hippo pathway–dependent is far more complex due to the lack of hotspot genetic alterations. Here, we developed a machine-learning framework to identify a robust, cancer type–agnostic gene expression signature to quantitate Hippo pathway activity and cross-talk as well as predict YAP/TEAD dependency across cancers. Further, through chemical genetic interaction screens and multiomics analyses, we discover a direct interaction between MAPK signaling and TEAD stability such that knockdown of YAP combined with MEK inhibition results in robust inhibition of tumor cell growth in Hippo dysregulated tumors. This multifaceted approach underscores how computational models combined with experimental studies can inform precision medicine approaches including predictive diagnostics and combination strategies. SIGNIFICANCE: An integrated chemicogenomics strategy was developed to identify a lineage- independent signature for the Hippo pathway in cancers. -
Fibrillarin from Archaea to Human
Biol. Cell (2015) 107, 1–16 DOI: 10.1111/boc.201400077 Review Fibrillarin from Archaea to human Ulises Rodriguez-Corona*, Margarita Sobol†, Luis Carlos Rodriguez-Zapata‡, Pavel Hozak† and Enrique Castano*1 *Unidad de Bioquımica´ y Biologıa´ molecular de plantas, Centro de Investigacion´ Cientıfica´ de Yucatan,´ Colonia Chuburna´ de Hidalgo, Merida,´ Yucatan, Mexico, †Department of Biology of the Cell Nucleus, Institute of Molecular Genetics of the Academy of Sciences of the Czech Republic, Prague 14220, Czech Republic, and ‡Unidad de Biotecnologıa,´ Centro de Investigacion´ Cientıfica´ de Yucatan,´ Colonia Chuburna´ de Hidalgo, Merida,´ Yucatan, Mexico Fibrillarin is an essential protein that is well known as a molecular marker of transcriptionally active RNA polyme- rase I. Fibrillarin methyltransferase activity is the primary known source of methylation for more than 100 methylated sites involved in the first steps of preribosomal processing and required for structural ribosome stability. High expression levels of fibrillarin have been observed in several types of cancer cells, particularly when p53 levels are reduced, because p53 is a direct negative regulator of fibrillarin transcription. Here, we show fibrillarin domain conservation, structure and interacting molecules in different cellular processes as well as with several viral proteins during virus infection. Additional supporting information may be found in the online version of this article at the publisher’s web-site Introduction progression, senescence and biogenesis of small nu- The nucleolus is the largest visible structure inside clear RNA and tRNAs proliferation and many forms the cell nucleus. It exists both as a dynamic and sta- of stress response (Andersen et al., 2005; Hinsby ble region depending of the nature and amount of et al., 2006; Boisvert et al., 2007; Shaw and Brown, the molecules that it is made of. -
New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Cancer Research and Treatment 2003;35(4):304-313 New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2 1Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea Purpose: This study utilized both mRNA differential significant genes of unknown function affected by the display and the Gene Ontology (GO) analysis to char- HPV-16-derived pathway. The GO analysis suggested that acterize the multiple interactions of a number of genes the cervical cancer cells underwent repression of the with gene expression profiles involved in the HPV-16- cancer-specific cell adhesive properties. Also, genes induced cervical carcinogenesis. belonging to DNA metabolism, such as DNA repair and Materials and Methods: mRNA differential displays, replication, were strongly down-regulated, whereas sig- with HPV-16 positive cervical cancer cell line (SiHa), and nificant increases were shown in the protein degradation normal human keratinocyte cell line (HaCaT) as a con- and synthesis. trol, were used. Each human gene has several biological Conclusion: The GO analysis can overcome the com- functions in the Gene Ontology; therefore, several func- plexity of the gene expression profile of the HPV-16- tions of each gene were chosen to establish a powerful associated pathway, identify several cancer-specific cel- cervical carcinogenesis pathway. -
Enzymatic Manufacture of Deoxythymidine-5'-Triphosphate with Permeable Intact Cells of E. Coli Coexpressing Thymidylate Kinase
J. Microbiol. Biotechnol. (2015), 25(12), 2034–2042 http://dx.doi.org/10.4014/jmb.1506.06020 Research Article Review jmb Enzymatic Manufacture of Deoxythymidine-5’-Triphosphate with Permeable Intact Cells of E. coli Coexpressing Thymidylate Kinase and Acetate Kinase Jiao Zhang, Yahui Qian, Qingbao Ding*, and Ling Ou* State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, P.R. China Received: June 8, 2015 Revised: July 26, 2015 A one-pot process of enzymatic synthesis of deoxythymidine-5’-triphosphate (5’-dTTP) Accepted: September 11, 2015 employing whole cells of recombinant Escherichia coli coexpressing thymidylate kinase (TMKase) and acetate kinase (ACKase) was developed. Genes tmk and ack from E. coli were First published online cloned and inserted into pET28a(+), and then transduced into E. coli BL21 (DE3) to form September 15, 2015 recombinant strain pTA in which TMKase and ACKase were simultaneously overexpressed. It *Corresponding authors was found that the relative residual specific activities of TMKase and ACKase, in pTA Q.D. pretreated with 20 mM ethylene diamine tetraacetic acid (EDTA) at 25oC for 30 min, were 94% Phone: +86-21-64250676; Fax: +86-21-64250676; and 96%, respectively. The yield of 5’-dTTP reached above 94% from 5 mM deoxythymidine E-mail: [email protected] 5’-monophosphate (5’-dTMP) and 15 mM acetyl phosphate catalyzed with intact cells of pTA L.O. Phone: +86-21-64253257; pretreated with EDTA. The process was so effective that only 0.125 mM adenosine-5’- Fax: +86-21-64253257; triphosphate was sufficient to deliver the phosphate group from acetyl phosphate to dTMP E-mail: [email protected] and dTDP. -
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. -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Glioblastoma Stem Cells Induce Quiescence in Surrounding Neural Stem Cells Via Notch Signalling
bioRxiv preprint doi: https://doi.org/10.1101/856062; this version posted November 29, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Glioblastoma stem cells induce quiescence in surrounding neural stem cells via Notch signalling. Katerina Lawlor1, Maria Angeles Marques-Torrejon2, Gopuraja Dharmalingham3, Yasmine El-Azhar1, Michael D. Schneider1, Steven M. Pollard2§ and Tristan A. Rodríguez1§ 1National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, United Kingdom. 2 MRC Centre for Regenerative Medicine & Edinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK. 3MRC London Institute of Medical Sciences, Institute of Clinical Sciences, Imperial College London, UK §Authors for correspondence: [email protected] and [email protected] Running title: Glioblastoma stem cell competition Keyword: Neural stem cells, quiescence, glioblastoma, Notch, cell competition 1 bioRxiv preprint doi: https://doi.org/10.1101/856062; this version posted November 29, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Abstract 2 There is increasing evidence suggesting that adult neural stem cells (NSCs) are a cell of 3 origin of glioblastoma, the most aggressive form of malignant glioma. The earliest stages of 4 hyperplasia are not easy to explore, but likely involve a cross-talk between normal and 5 transformed NSCs. How normal cells respond to this cross-talk and if they expand or are 6 outcompeted is poorly understood. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Glucocorticoid Receptor Signaling Activates TEAD4 to Promote Breast
Published OnlineFirst July 9, 2019; DOI: 10.1158/0008-5472.CAN-19-0012 Cancer Molecular Cell Biology Research Glucocorticoid Receptor Signaling Activates TEAD4 to Promote Breast Cancer Progression Lingli He1,2, Liang Yuan3,Yang Sun1,2, Pingyang Wang1,2, Hailin Zhang4, Xue Feng1,2, Zuoyun Wang1,2, Wenxiang Zhang1,2, Chuanyu Yang4,Yi Arial Zeng1,2,Yun Zhao1,2,3, Ceshi Chen4,5,6, and Lei Zhang1,2,3 Abstract The Hippo pathway plays a critical role in cell growth and to the TEAD4 promoter to boost its own expression. Func- tumorigenesis. The activity of TEA domain transcription factor tionally, the activation of TEAD4 by GC promoted breast 4 (TEAD4) determines the output of Hippo signaling; how- cancer stem cells maintenance, cell survival, metastasis, and ever, the regulation and function of TEAD4 has not been chemoresistance both in vitro and in vivo. Pharmacologic explored extensively. Here, we identified glucocorticoids (GC) inhibition of TEAD4 inhibited GC-induced breast cancer as novel activators of TEAD4. GC treatment facilitated gluco- chemoresistance. In conclusion, our study reveals a novel corticoid receptor (GR)-dependent nuclear accumulation and regulation and functional role of TEAD4 in breast cancer and transcriptional activation of TEAD4. TEAD4 positively corre- proposes a potential new strategy for breast cancer therapy. lated with GR expression in human breast cancer, and high expression of TEAD4 predicted poor survival of patients with Significance: This study provides new insight into the role breast cancer. Mechanistically, GC activation promoted GR of glucocorticoid signaling in breast cancer, with potential for interaction with TEAD4, forming a complex that was recruited clinical translation. -
The Nucleolus – a Gateway to Viral Infection? Brief Review
Arch Virol (2002) 147: 1077–1089 DOI 10.1007/s00705-001-0792-0 The nucleolus – a gateway to viral infection? Brief Review J. A. Hiscox School of Animal and Microbial Sciences, University of Reading, U.K. Received August 24, 2001; accepted December 26, 2001 Published online March 18, 2002, © Springer-Verlag 2002 Summary. A number of viruses and viral proteins interact with a dynamic sub- nuclear structure called the nucleolus. The nucleolus is present during interphase in mammalian cells and is the site of ribosome biogenesis, and has been implicated in controlling regulatory processes such as the cell cycle. Viruses interact with the nucleolus and its antigens; viral proteins co-localise with factors such as nucleolin, B23 and fibrillarin, and can cause their redistribution during infection. Viruses can use these components as part of their replication process, and also use the nucleolus as a site of replication itself. Many of these properties are not restricted to any particular type of virus or replication mechanism, and examples of these processes can be found in DNA, RNA and retroviruses. Evidence suggests that viruses may target the nucleolus and its components to favour viral transcription, translation and perhaps alter the cell cycle in order to promote virus replication. Autoimmunity to nucleolin and fibrillarin have been associated with a number of diseases, and by targeting the nucleolus and displacing nucleolar antigens, virus infection might play a role in the initiation of these conditions. Introduction The eukaryotic nucleus contains a number of domains or subcompartments, which include nucleoli, nuclear Cajal bodies, nuclear speckles, transcription and replica- tion foci, and chromosome territories [34]. -
Table S1. List of Oligonucleotide Primers Used
Table S1. List of oligonucleotide primers used. Cla4 LF-5' GTAGGATCCGCTCTGTCAAGCCTCCGACC M629Arev CCTCCCTCCATGTACTCcgcGATGACCCAgAGCTCGTTG M629Afwd CAACGAGCTcTGGGTCATCgcgGAGTACATGGAGGGAGG LF-3' GTAGGCCATCTAGGCCGCAATCTCGTCAAGTAAAGTCG RF-5' GTAGGCCTGAGTGGCCCGAGATTGCAACGTGTAACC RF-3' GTAGGATCCCGTACGCTGCGATCGCTTGC Ukc1 LF-5' GCAATATTATGTCTACTTTGAGCG M398Arev CCGCCGGGCAAgAAtTCcgcGAGAAGGTACAGATACGc M398Afwd gCGTATCTGTACCTTCTCgcgGAaTTcTTGCCCGGCGG LF-3' GAGGCCATCTAGGCCATTTACGATGGCAGACAAAGG RF-5' GTGGCCTGAGTGGCCATTGGTTTGGGCGAATGGC RF-3' GCAATATTCGTACGTCAACAGCGCG Nrc2 LF-5' GCAATATTTCGAAAAGGGTCGTTCC M454Grev GCCACCCATGCAGTAcTCgccGCAGAGGTAGAGGTAATC M454Gfwd GATTACCTCTACCTCTGCggcGAgTACTGCATGGGTGGC LF-3' GAGGCCATCTAGGCCGACGAGTGAAGCTTTCGAGCG RF-5' GAGGCCTGAGTGGCCTAAGCATCTTGGCTTCTGC RF-3' GCAATATTCGGTCAACGCTTTTCAGATACC Ipl1 LF-5' GTCAATATTCTACTTTGTGAAGACGCTGC M629Arev GCTCCCCACGACCAGCgAATTCGATagcGAGGAAGACTCGGCCCTCATC M629Afwd GATGAGGGCCGAGTCTTCCTCgctATCGAATTcGCTGGTCGTGGGGAGC LF-3' TGAGGCCATCTAGGCCGGTGCCTTAGATTCCGTATAGC RF-5' CATGGCCTGAGTGGCCGATTCTTCTTCTGTCATCGAC RF-3' GACAATATTGCTGACCTTGTCTACTTGG Ire1 LF-5' GCAATATTAAAGCACAACTCAACGC D1014Arev CCGTAGCCAAGCACCTCGgCCGAtATcGTGAGCGAAG D1014Afwd CTTCGCTCACgATaTCGGcCGAGGTGCTTGGCTACGG LF-3' GAGGCCATCTAGGCCAACTGGGCAAAGGAGATGGA RF-5' GAGGCCTGAGTGGCCGTGCGCCTGTGTATCTCTTTG RF-3' GCAATATTGGCCATCTGAGGGCTGAC Kin28 LF-5' GACAATATTCATCTTTCACCCTTCCAAAG L94Arev TGATGAGTGCTTCTAGATTGGTGTCggcGAAcTCgAGCACCAGGTTG L94Afwd CAACCTGGTGCTcGAgTTCgccGACACCAATCTAGAAGCACTCATCA LF-3' TGAGGCCATCTAGGCCCACAGAGATCCGCTTTAATGC RF-5' CATGGCCTGAGTGGCCAGGGCTAGTACGACCTCG