Supplementary Material Identification of Motility-Associated Progesterone
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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 -
ROS Production Induced by BRAF Inhibitor Treatment Rewires
Cesi et al. Molecular Cancer (2017) 16:102 DOI 10.1186/s12943-017-0667-y RESEARCH Open Access ROS production induced by BRAF inhibitor treatment rewires metabolic processes affecting cell growth of melanoma cells Giulia Cesi, Geoffroy Walbrecq, Andreas Zimmer, Stephanie Kreis*† and Claude Haan† Abstract Background: Most melanoma patients with BRAFV600E positive tumors respond well to a combination of BRAF kinase and MEK inhibitors. However, some patients are intrinsically resistant while the majority of patients eventually develop drug resistance to the treatment. For patients insufficiently responding to BRAF and MEK inhibitors, there is an ongoing need for new treatment targets. Cellular metabolism is such a promising new target line: mutant BRAFV600E has been shown to affect the metabolism. Methods: Time course experiments and a series of western blots were performed in a panel of BRAFV600E and BRAFWT/ NRASmut human melanoma cells, which were incubated with BRAF and MEK1 kinase inhibitors. siRNA approaches were used to investigate the metabolic players involved. Reactive oxygen species (ROS) were measured by confocal microscopy and AZD7545, an inhibitor targeting PDKs (pyruvate dehydrogenase kinase) was tested. Results: We show that inhibition of the RAS/RAF/MEK/ERK pathway induces phosphorylation of the pyruvate dehydrogenase PDH-E1α subunit in BRAFV600E and in BRAFWT/NRASmut harboring cells. Inhibition of BRAF, MEK1 and siRNA knock-down of ERK1/2 mediated phosphorylation of PDH. siRNA-mediated knock-down of all PDKs or the use of DCA (a pan-PDK inhibitor) abolished PDH-E1α phosphorylation. BRAF inhibitor treatment also induced the upregulation of ROS, concomitantly with the induction of PDH phosphorylation. -
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. -
Endothelial Cell Injury in Atherosclerosis Is Regulated by Glycolysis (Review)
INTERNATIONAL JOURNAL OF MOleCular meDICine 47: 65-76, 2021 Mechanism overview and target mining of atherosclerosis: Endothelial cell injury in atherosclerosis is regulated by glycolysis (Review) RUIYING WANG1-5, MIN WANG1-5, JINGXUE YE1-5, GUIBO SUN1-5 and XIAOBO SUN1-5 1Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences; 2Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences; 3Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences; 4Key Laboratory of Efficacy Evaluation of Chinese Medicine Against Glycolipid Metabolic Disorders, State Administration of Traditional Chinese Medicine, Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences; 5Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription, Chinese Academy of Medical Sciences, Beijing 100193, P.R. China Received August 14, 2020; Accepted November 5, 2020 DOI: 10.3892/ijmm.2020.4798 Abstract. Atherosclerosis (AS) is a chronic disease with a In conclusion, endothelial cell injury in AS may be alleviated by complex pathology that may lead to several cardiovascular and glycolysis and is a potential clinical treatment strategy for AS. cerebrovascular diseases; however, further research is neces- sary to fully elucidate its pathogenesis. The main risk factors for AS include lipid metabolism disorders, endothelial cell Contents injury, inflammation and immune dysfunction, among which vascular endothelial cell damage is considered as the main 1. -
Tricarboxylic Acid (TCA) Cycle Intermediates: Regulators of Immune Responses
life Review Tricarboxylic Acid (TCA) Cycle Intermediates: Regulators of Immune Responses Inseok Choi , Hyewon Son and Jea-Hyun Baek * School of Life Science, Handong Global University, Pohang, Gyeongbuk 37554, Korea; [email protected] (I.C.); [email protected] (H.S.) * Correspondence: [email protected]; Tel.: +82-54-260-1347 Abstract: The tricarboxylic acid cycle (TCA) is a series of chemical reactions used in aerobic organisms to generate energy via the oxidation of acetylcoenzyme A (CoA) derived from carbohydrates, fatty acids and proteins. In the eukaryotic system, the TCA cycle occurs completely in mitochondria, while the intermediates of the TCA cycle are retained inside mitochondria due to their polarity and hydrophilicity. Under cell stress conditions, mitochondria can become disrupted and release their contents, which act as danger signals in the cytosol. Of note, the TCA cycle intermediates may also leak from dysfunctioning mitochondria and regulate cellular processes. Increasing evidence shows that the metabolites of the TCA cycle are substantially involved in the regulation of immune responses. In this review, we aimed to provide a comprehensive systematic overview of the molecular mechanisms of each TCA cycle intermediate that may play key roles in regulating cellular immunity in cell stress and discuss its implication for immune activation and suppression. Keywords: Krebs cycle; tricarboxylic acid cycle; cellular immunity; immunometabolism 1. Introduction The tricarboxylic acid cycle (TCA, also known as the Krebs cycle or the citric acid Citation: Choi, I.; Son, H.; Baek, J.-H. Tricarboxylic Acid (TCA) Cycle cycle) is a series of chemical reactions used in aerobic organisms (pro- and eukaryotes) to Intermediates: Regulators of Immune generate energy via the oxidation of acetyl-coenzyme A (CoA) derived from carbohydrates, Responses. -
Deep Multiomics Profiling of Brain Tumors Identifies Signaling Networks
ARTICLE https://doi.org/10.1038/s41467-019-11661-4 OPEN Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes Hong Wang 1,2,3, Alexander K. Diaz3,4, Timothy I. Shaw2,5, Yuxin Li1,2,4, Mingming Niu1,4, Ji-Hoon Cho2, Barbara S. Paugh4, Yang Zhang6, Jeffrey Sifford1,4, Bing Bai1,4,10, Zhiping Wu1,4, Haiyan Tan2, Suiping Zhou2, Laura D. Hover4, Heather S. Tillman 7, Abbas Shirinifard8, Suresh Thiagarajan9, Andras Sablauer 8, Vishwajeeth Pagala2, Anthony A. High2, Xusheng Wang 2, Chunliang Li 6, Suzanne J. Baker4 & Junmin Peng 1,2,4 1234567890():,; High throughput omics approaches provide an unprecedented opportunity for dissecting molecular mechanisms in cancer biology. Here we present deep profiling of whole proteome, phosphoproteome and transcriptome in two high-grade glioma (HGG) mouse models driven by mutated RTK oncogenes, PDGFRA and NTRK1, analyzing 13,860 proteins and 30,431 phosphosites by mass spectrometry. Systems biology approaches identify numerous master regulators, including 41 kinases and 23 transcription factors. Pathway activity computation and mouse survival indicate the NTRK1 mutation induces a higher activation of AKT down- stream targets including MYC and JUN, drives a positive feedback loop to up-regulate multiple other RTKs, and confers higher oncogenic potency than the PDGFRA mutation. A mini-gRNA library CRISPR-Cas9 validation screening shows 56% of tested master regulators are important for the viability of NTRK-driven HGG cells, including TFs (Myc and Jun) and metabolic kinases (AMPKa1 and AMPKa2), confirming the validity of the multiomics inte- grative approaches, and providing novel tumor vulnerabilities. -
Comprehensive Assessment of Indian Variations in the Druggable Kinome Landscape Highlights Distinct Insights at the Sequence, Structure and Pharmacogenomic Stratum
SUPPLEMENTARY MATERIAL Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum Gayatri Panda1‡, Neha Mishra1‡, Disha Sharma2,3, Rahul C. Bhoyar3, Abhinav Jain2,3, Mohamed Imran2,3, Vigneshwar Senthilvel2,3, Mohit Kumar Divakar2,3, Anushree Mishra3, Priyanka Banerjee4, Sridhar Sivasubbu2,3, Vinod Scaria2,3, Arjun Ray1* 1 Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India. 2 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. 3 CSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi-110020, India. 4 Institute for Physiology, Charite-University of Medicine, Berlin, 10115 Berlin, Germany. ‡These authors contributed equally to this work. * [email protected] TABLE OF CONTENTS Name Title Supplemental_Figure_S1 Fauchere and Pliska hydrophobicity scale for variations in structure data Supplemental_Figure_S2 Phenotypic drug-drug correlogram Supplemental_Table_S1 545 kinase coding genes used in the study Supplemental_Table_S2 Classes and count of kinase coding genes Supplemental_Table_S3 Allele frequency Indian v/s other populations from 1000 genome data(1000g2015). Supplemental_Table_S4 IndiGen Structure Data- consisting of 12 genes and their 22 variants Supplemental_Table_S5 Genes, PDB ids, mutations in IndiGen data and associated drugs (FDA approved) Supplemental_Table_S6 Data used for docking and binding pocket similarity analysis Supplemental_Table_S7 -
Glycogen Synthase Kinase-3 Inhibition Induces Glioma Cell Death Through C-MYC, Nuclear Factor-KB, and Glucose Regulation
Research Article Glycogen Synthase Kinase-3 Inhibition Induces Glioma Cell Death through c-MYC, Nuclear Factor-KB, and Glucose Regulation Svetlana Kotliarova,1 Sandra Pastorino,1 Lara C. Kovell,1 Yuri Kotliarov,1 Hua Song,1 Wei Zhang,1 Rolanda Bailey,1 Dragan Maric,2 Jean Claude Zenklusen,1 Jeongwu Lee,1 and Howard A. Fine1 1Neuro-Oncology Branch, National Cancer Institute and 2National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland Abstract addition to, a pure antiangiogenic mechanism of the drug (2). While attempting to elucidate the apparent cytotoxic activity of Glycogen synthase kinase 3 (GSK3), a serine/threonine kinase, a h is involved in diverse cellular processes ranging from nutrient enzastaurin against gliomas, we discovered that the and forms of glycogen synthase kinase 3 (GSK3) were targets of the drug in and energy homeostasis to proliferation and apoptosis. Its h role in glioblastoma multiforme has yet to be elucidated. We addition to its primary target, PKC (Supplementary Fig. S1). In identified GSK3 as a regulator of glioblastoma multiforme cell this study, we therefore evaluated whether GSK3 may be a survival using microarray analysis and small-molecule and potentially new therapeutic target in gliomas. genetic inhibitors of GSK3 activity. Various molecular and GSK3 was initially identified more than 25 years ago as a protein genetic approaches were then used to dissect out the kinase that phosphorylated and inactivated glycogen synthase (3), molecular mechanisms responsible for GSK3 inhibition– the final enzyme in glycogen biosynthesis. Recently, it has been induced cytotoxicity. We show that multiple small molecular recognized as a key component of a diverse range of cellular functions essential for survival (for reviews, see refs. -
GSK3 and Its Interactions with the PI3K/AKT/Mtor Signalling Network
Heriot-Watt University Research Gateway GSK3 and its interactions with the PI3K/AKT/mTOR signalling network Citation for published version: Hermida, MA, Kumar, JD & Leslie, NR 2017, 'GSK3 and its interactions with the PI3K/AKT/mTOR signalling network', Advances in Biological Regulation, vol. 65, pp. 5-15. https://doi.org/10.1016/j.jbior.2017.06.003 Digital Object Identifier (DOI): 10.1016/j.jbior.2017.06.003 Link: Link to publication record in Heriot-Watt Research Portal Document Version: Peer reviewed version Published In: Advances in Biological Regulation Publisher Rights Statement: © 2017 Elsevier B.V. General rights Copyright for the publications made accessible via Heriot-Watt Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy Heriot-Watt University has made every reasonable effort to ensure that the content in Heriot-Watt Research Portal complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 27. Sep. 2021 Accepted Manuscript GSK3 and its interactions with the PI3K/AKT/mTOR signalling network Miguel A. Hermida, J. Dinesh Kumar, Nick R. Leslie PII: S2212-4926(17)30124-0 DOI: 10.1016/j.jbior.2017.06.003 Reference: JBIOR 180 To appear in: Advances in Biological Regulation Received Date: 13 June 2017 Accepted Date: 23 June 2017 Please cite this article as: Hermida MA, Dinesh Kumar J, Leslie NR, GSK3 and its interactions with the PI3K/AKT/mTOR signalling network, Advances in Biological Regulation (2017), doi: 10.1016/ j.jbior.2017.06.003. -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942 -
Microrna‑186‑5P Downregulation Inhibits Osteoarthritis Development by Targeting MAPK1
MOLECULAR MEDICINE REPORTS 23: 253, 2021 MicroRNA‑186‑5p downregulation inhibits osteoarthritis development by targeting MAPK1 QING LI1, MINGJIE WU1, GUOFANG FANG1, KUANGWEN LI1, WENGANG CUI1, LIANG LI1, XIA LI2, JUNSHENG WANG2 and YANHONG CANG2 1Department of Orthopedics, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong 518101; 2Department of Orthopedics, The Second People's Hospital of Huai'an, Huai'an, Jiangsu 223002, P.R. China Received February 26, 2020; Accepted September 11, 2020 DOI: 10.3892/mmr.2021.11892 Abstract. As a chronic degenerative joint disease, the char‑ expression, suggesting that miR‑186‑5p may be used as a acteristics of osteoarthritis (OA) are degeneration of articular potential therapeutic target for OA. cartilage, subchondral bone sclerosis and bone hyperplasia. It has been reported that microRNA (miR)‑186‑5p serves a key Introduction role in the development of various tumors, such as osteosar‑ coma, non‑small‑cell lung cancer cells, glioma and colorectal As a chronic degenerative joint disease, the characteristics cancer. The present study aimed to investigate the effect of of osteoarthritis (OA) are degeneration of articular cartilage, miR‑186‑5p in OA. Different concentrations of IL‑1β were subchondral bone sclerosis and bone hyperplasia (1). OA used to treat the human chondrocyte cell line CHON‑001 affects an estimated 10% of men and 18% of women >60 years to simulate inflammation, and CHON‑001 cell injury was of age, worldwide (2). OA is affected by multiple factors, such assessed by detecting cell viability, apoptosis, caspase‑3 as age, sex, trauma history, obesity, heredity and joint defor‑ activity and the levels of TNF‑α, IL‑8 and IL‑6. -
Upregulation of SLC2A3 Gene and Prognosis in Colorectal Carcinoma
Kim et al. BMC Cancer (2019) 19:302 https://doi.org/10.1186/s12885-019-5475-x RESEARCH ARTICLE Open Access Upregulation of SLC2A3 gene and prognosis in colorectal carcinoma: analysis of TCGA data Eunyoung Kim1†, Sohee Jung2†, Won Seo Park3, Joon-Hyop Lee4, Rumi Shin5, Seung Chul Heo5, Eun Kyung Choe6, Jae Hyun Lee7, Kwangsoo Kim2* and Young Jun Chai5* Abstract Background: Upregulation of SLC2A genes that encode glucose transporter (GLUT) protein is associated with poor prognosis in many cancers. In colorectal cancer, studies reporting the association between overexpression of GLUT and poor clinical outcomes were flawed by small sample sizes or subjective interpretation of immunohistochemical staining. Here, we analyzed mRNA expressions in all 14 SLC2A genes and evaluated the association with prognosis in colorectal cancer using data from the Cancer Genome Atlas (TCGA) database. Methods: In the present study, we analyzed the expression of SLC2A genes in colorectal cancer and their association with prognosis using data obtained from the TCGA for the discovery sample, and a dataset from the Gene Expression Omnibus for the validation sample. Results: SLC2A3 was significantly associated with overall survival (OS) and disease-free survival (DFS) in both the discovery sample (345 patients) and validation sample (501 patients). High SLC2A3 expression resulted in shorter OS and DFS. In multivariate analyses, high SLC2A3 levels predicted unfavorable OS (adjusted HR 1.95, 95% CI 1.22–3.11; P = 0.005) and were associated with poor DFS (adjusted HR 1.85, 95% CI 1.10–3.12; P = 0.02). Similar results were found in the discovery set.