Remodeling of Active Endothelial Enhancers Is Associated with Aberrant Gene-Regulatory Networks in Pulmonary Arterial Hypertension
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Mechanotransduction Signaling in Podocytes from Fluid Flow Shear Stress
Children's Mercy Kansas City SHARE @ Children's Mercy Manuscripts, Articles, Book Chapters and Other Papers 1-1-2018 Mechanotransduction signaling in podocytes from fluid flow shear stress. Tarak Srivastava Children's Mercy Hospital Hongying Dai Children's Mercy Hospital Daniel P. Heruth Children's Mercy Hospital Uri S. Alon Children's Mercy Hospital Robert E. Garola Children's Mercy Hospital See next page for additional authors Follow this and additional works at: https://scholarlyexchange.childrensmercy.org/papers Part of the Animal Structures Commons, Medical Biophysics Commons, Medical Genetics Commons, Nephrology Commons, and the Pathology Commons Recommended Citation Srivastava, T., Dai, H., Heruth, D. P., Alon, U. S., Garola, R. E., Zhou, J., Duncan, R. S., El-Meanawy, A., McCarthy, E. T., Sharma, R., Johnson, M. L., Savin, V. J., Sharma, M. Mechanotransduction signaling in podocytes from fluid flow shear stress. American journal of physiology. Renal physiology 314, 22-22 (2018). This Article is brought to you for free and open access by SHARE @ Children's Mercy. It has been accepted for inclusion in Manuscripts, Articles, Book Chapters and Other Papers by an authorized administrator of SHARE @ Children's Mercy. For more information, please contact [email protected]. Creator(s) Tarak Srivastava, Hongying Dai, Daniel P. Heruth, Uri S. Alon, Robert E. Garola, Jianping Zhou, R Scott Duncan, Ashraf El-Meanawy, Ellen T. McCarthy, Ram Sharma, Mark L. Johnson, Virginia J. Savin, and Mukut Sharma This article is available at SHARE @ Children's Mercy: https://scholarlyexchange.childrensmercy.org/papers/1227 Am J Physiol Renal Physiol 314: F22–F34, 2018. First published September 6, 2017; doi:10.1152/ajprenal.00325.2017. -
Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
Core Transcriptional Regulatory Circuitries in Cancer
Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage. -
Expression of Oncogenes ELK1 and ELK3 in Cancer
Review Article Annals of Colorectal Cancer Research Published: 11 Nov, 2019 Expression of Oncogenes ELK1 and ELK3 in Cancer Akhlaq Ahmad and Asif Hayat* College of Chemistry, Fuzhou University, China Abstract Cancer is the uncontrolled growth of abnormal cells anywhere in a body, ELK1 and ELK3 is a member of the Ets-domain transcription factor family and the TCF (Ternary Complex Factor) subfamily. Proteins in this subfamily regulate transcription when recruited by SRF (Serum Response Factor) to bind to serum response elements. ELK1 and ELK3 transcription factors are known as oncogenes. Both transcription factors are proliferated in a different of type of cancer. Herein, we summarized the expression of transcription factor ELK1 and ELK3 in cancer cells. Keywords: ETS; ELK1; ELK3; Transcription factor; Cancer Introduction The ETS, a transcription factor of E twenty-six family based on a dominant ETS amino acids that integrated with a ~10-basepair element arrange in highly mid core sequence 5′-GGA(A/T)-3′ [1-2]. The secular family alter enormous 28/29 members which has been assigned in human and mouse and similarly the family description are further sub-divided into nine sub-families according to their homology and domain factor [3]. More importantly, one of the subfamily members such as ELK (ETS-like) adequate an N-terminal ETS DNA-binding domain along with a B-box domain that transmit the response of serum factor upon the formation of ternary complex and therefore manifested as ternary complex factors [4]. Further the ELK sub-divided into Elk1, Elk3 (Net, Erp or Sap2) and Elk4 (Sap1) proteins [3,4], which simulated varied proportional of potential protein- protein interactions [4,5]. -
EXTENDED MATERIALS and METHODS Animal Experimentation. All Experiments Were Performed in Agreement with the Swiss Law on Animal
EXTENDED MATERIALS AND METHODS Animal experimentation. All experiments were performed in agreement with the Swiss law on animal protection (LPA), under license No GE 81/14 (to DD). In situ hybridization. Whole mount in situ hybridizations were performed as described in (Woltering et al., 2014). Probes for the Hoxa11, Hoxa13, Hoxd8, Hoxd10, Hoxd12, Hoxd13 and Evx2 genes were synthetized and purified as previously reported (Herault et al., 1996; Woltering et al., 2014). Plasmids encoding the cDNAs of the Prrx2 and Dbx2 genes were purchased from Addgene and probes were synthetized as previously reported (Pierani et al., 1999; Stelnicki et al., 1998). Right or left forelimbs were dissected from stained embryos and photographied dorsally with a Leica MZ16 stereomicroscope. Pictures from left forelimbs are displayed inverted. RNA extraction. Total RNA was extracted from individual pairs of either wild type or double Hox13-/- mutant proximal and distal forelimb buds, using the RNeasy Micro Kit (Qiagen) following manufacturer instructions. A total of 100ng of pure total RNA was amplified following standard Illumina procedure for polyA-selected RNA. RNA-seq data generation. RNA sequencing (RNA-seq) libraries were prepared with the Illumina TruSeq Stranded mRNA protocol and sequenced on a HiSeq 2500 machine, as single-end, 100 base pairs (bp) reads. The preparation of libraries and sequencing were performed by the genomic platform of the University of Geneva. RNA-seq data analysis. A mutant version of the genome, encoding the Hoxd13/LacZ and the Hoxa13/Neo+ alleles (Fromental-Ramain et al., 1996; Kondo et al., 1998), was assembled and annotated and used as reference genome to map the Hoxa13-/- and Hoxd13-/- RNA-seq data. -
Roles of the CSE1L-Mediated Nuclear Import Pathway in Epigenetic
Roles of the CSE1L-mediated nuclear import pathway PNAS PLUS in epigenetic silencing Qiang Donga,b,c, Xiang Lia,b,c, Cheng-Zhi Wangb, Shaohua Xuc, Gang Yuanc, Wei Shaoc, Baodong Liud, Yong Zhengb, Hailin Wangd, Xiaoguang Leic,e,f, Zhuqiang Zhangb,1, and Bing Zhua,b,g,1 aGraduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730 Beijing, China; bNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101 Beijing, China; cNational Institute of Biological Sciences, 102206 Beijing, China; dThe State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China; eBeijing National Laboratory for Molecular Sciences, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China; fPeking-Tsinghua Center for Life Sciences, Peking University, 100871 Beijing, China; and gCollege of Life Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China Edited by Arthur D. Riggs, Beckman Research Institute of City of Hope, Duarte, CA, and approved March 21, 2018 (received for review January 17, 2018) Epigenetic silencing can be mediated by various mechanisms, CSE1L, a key player in the nuclear import pathway, as an es- and many regulators remain to be identified. Here, we report a sential factor for maintaining the repression of many methyl- genome-wide siRNA screening to identify regulators essential for ated genes. Mechanistically, CSE1L functions by facilitating maintaining gene repression of a CMV promoter silenced by DNA the nuclear import of certain cargo proteins that are essential methylation. -
Differential Gene Expression of Minnesota (MN) Hygienic Honeybees (Apis Mellifera) Performing Hygienic Behavior
Minnesota State University, Mankato Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato All Graduate Theses, Dissertations, and Other Graduate Theses, Dissertations, and Other Capstone Projects Capstone Projects 2016 Differential Gene Expression of Minnesota (MN) Hygienic Honeybees (Apis mellifera) Performing Hygienic Behavior Eric Northrup Minnesota State University Mankato Follow this and additional works at: https://cornerstone.lib.mnsu.edu/etds Part of the Bioinformatics Commons, Entomology Commons, and the Genetics Commons Recommended Citation Northrup, E. (2016). Differential Gene Expression of Minnesota (MN) Hygienic Honeybees (Apis mellifera) Performing Hygienic Behavior [Master’s thesis, Minnesota State University, Mankato]. Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. https://cornerstone.lib.mnsu.edu/etds/619/ This Thesis is brought to you for free and open access by the Graduate Theses, Dissertations, and Other Capstone Projects at Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. It has been accepted for inclusion in All Graduate Theses, Dissertations, and Other Capstone Projects by an authorized administrator of Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. Differential gene expression of Minnesota (MN) Hygienic honeybees (Apis mellifera) performing hygienic behavior By Eric Northrup A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Masters of Science In Biological Sciences Minnesota State University, Mankato Mankato, Minnesota April 2016 Differential gene expression of MN Hygienic honeybees (Apis mellifera) performing hygienic behavior Eric Northrup This thesis has been examined and approved by the following members of the student’s committee. -
Examination of the Transcription Factors Acting in Bone Marrow
THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (PHD) Examination of the transcription factors acting in bone marrow derived macrophages by Gergely Nagy Supervisor: Dr. Endre Barta UNIVERSITY OF DEBRECEN DOCTORAL SCHOOL OF MOLECULAR CELL AND IMMUNE BIOLOGY DEBRECEN, 2016 Table of contents Table of contents ........................................................................................................................ 2 1. Introduction ............................................................................................................................ 5 1.1. Transcriptional regulation ................................................................................................... 5 1.1.1. Transcriptional initiation .................................................................................................. 5 1.1.2. Co-regulators and histone modifications .......................................................................... 8 1.2. Promoter and enhancer sequences guiding transcription factors ...................................... 11 1.2.1. General transcription factors .......................................................................................... 11 1.2.2. The ETS superfamily ..................................................................................................... 17 1.2.3. The AP-1 and CREB proteins ........................................................................................ 20 1.2.4. Other promoter specific transcription factor families ................................................... -
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. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
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. -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays.