Identification of Molecular Signaling Pathways Underlying Human Endometrial Stromal Cell Differentiation
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Detection of Interacting Transcription Factors in Human Tissues Using
Myšičková and Vingron BMC Genomics 2012, 13(Suppl 1):S2 http://www.biomedcentral.com/1471-2164/13/S1/S2 PROCEEDINGS Open Access Detection of interacting transcription factors in human tissues using predicted DNA binding affinity Alena Myšičková*, Martin Vingron From The Tenth Asia Pacific Bioinformatics Conference (APBC 2012) Melbourne, Australia. 17-19 January 2012 Abstract Background: Tissue-specific gene expression is generally regulated by combinatorial interactions among transcription factors (TFs) which bind to the DNA. Despite this known fact, previous discoveries of the mechanism that controls gene expression usually consider only a single TF. Results: We provide a prediction of interacting TFs in 22 human tissues based on their DNA-binding affinity in promoter regions. We analyze all possible pairs of 130 vertebrate TFs from the JASPAR database. First, all human promoter regions are scanned for single TF-DNA binding affinities with TRAP and for each TF a ranked list of all promoters ordered by the binding affinity is created. We then study the similarity of the ranked lists and detect candidates for TF-TF interaction by applying a partial independence test for multiway contingency tables. Our candidates are validated by both known protein-protein interactions (PPIs) and known gene regulation mechanisms in the selected tissue. We find that the known PPIs are significantly enriched in the groups of our predicted TF-TF interactions (2 and 7 times more common than expected by chance). In addition, the predicted interacting TFs for studied tissues (liver, muscle, hematopoietic stem cell) are supported in literature to be active regulators or to be expressed in the corresponding tissue. -
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. -
Identifying and Mapping Cell-Type-Specific Chromatin PNAS PLUS Programming of Gene Expression
Identifying and mapping cell-type-specific chromatin PNAS PLUS programming of gene expression Troels T. Marstranda and John D. Storeya,b,1 aLewis-Sigler Institute for Integrative Genomics, and bDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544 Edited by Wing Hung Wong, Stanford University, Stanford, CA, and approved January 2, 2014 (received for review July 2, 2013) A problem of substantial interest is to systematically map variation Relating DHS to gene-expression levels across multiple cell in chromatin structure to gene-expression regulation across con- types is challenging because the DHS represents a continuous ditions, environments, or differentiated cell types. We developed variable along the genome not bound to any specific region, and and applied a quantitative framework for determining the exis- the relationship between DHS and gene expression is largely tence, strength, and type of relationship between high-resolution uncharacterized. To exploit variation across cell types and test chromatin structure in terms of DNaseI hypersensitivity and genome- for cell-type-specific relationships between DHS and gene expres- wide gene-expression levels in 20 diverse human cell types. We sion, the measurement units must be placed on a common scale, show that ∼25% of genes show cell-type-specific expression ex- the continuous DHS measure associated to each gene in a well- plained by alterations in chromatin structure. We find that distal defined manner, and all measurements considered simultaneously. regions of chromatin structure (e.g., ±200 kb) capture more genes Moreover, the chromatin and gene-expression relationship may with this relationship than local regions (e.g., ±2.5 kb), yet the local only manifest in a single cell type, making standard measures of regions show a more pronounced effect. -
REST Mediates Androgen Receptor Actions on Gene Repression And
Published online 24 October 2013 Nucleic Acids Research, 2014, Vol. 42, No. 2 999–1015 doi:10.1093/nar/gkt921 REST mediates androgen receptor actions on gene repression and predicts early recurrence of prostate cancer Charlotte Svensson1, Jens Ceder2, Diego Iglesias-Gato1, Yin-Choy Chuan1, See Tong Pang3, Anders Bjartell2, Roxana Merino Martinez4, Laura Bott5, Leszek Helczynski6, David Ulmert2,7, Yuzhuo Wang8, Yuanjie Niu9, Colin Collins8 and Amilcar Flores-Morales1,* 1Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Downloaded from DK-2200 Copenhagen, Denmark, 2Division of Urological Cancers, Department of Clinical Sciences, Ska˚ ne University Hospital, Lund University, 20502 Malmo¨ , Sweden, 3Department of Urology, Chang Gung Memorial Hospital, Tao-Yuan 33305, Taiwan, R.O.C., 4Department of Epidemiology, Karolinska Institutet, 171 77 Stockholm, Sweden, 5Department of Cell and Molecular Biology, Karolinska Institute, 171 77 Stockholm, Sweden, 6Regional Laboratories Region Ska˚ ne, Clinical Pathology, 205 80 Malmo¨ , Sweden, 7Department of Surgery (Urology), Memorial Sloan-Kettering Cancer Center, New York, NY 100 65, USA, 8Vancouver Prostate http://nar.oxfordjournals.org/ Centre and The Department of Urologic Sciences, University of British Columbia, Vancouver, BC Canada V6H 3Z6 and 9Tianjin Institute of Urology, Tianjin Medical University, Tianjin 300 211, China Received December 19, 2012; Accepted September 20, 2013 ABSTRACT that has previously been implicated in the growth at University of British Columbia on August 12, 2014 The androgen receptor (AR) is a key regulator of NE-like castration-resistant tumors. The of prostate tumorgenesis through actions that are analysis of prostate cancer tissue microarrays not fully understood. We identified the repressor revealed that tumors with reduced expression of element (RE)-1 silencing transcription factor REST have higher probability of early recurrence, (REST) as a mediator of AR actions on gene repres- independently of their Gleason score. -
Cellular Responses to Erbb-2 Overexpression in Human Mammary Luminal Epithelial Cells: Comparison of Mrna and Protein Expression
British Journal of Cancer (2004) 90, 173 – 181 & 2004 Cancer Research UK All rights reserved 0007 – 0920/04 $25.00 www.bjcancer.com Cellular responses to ErbB-2 overexpression in human mammary luminal epithelial cells: comparison of mRNA and protein expression SL White1, S Gharbi1, MF Bertani1, H-L Chan1, MD Waterfield1 and JF Timms*,1 1 Ludwig Institute for Cancer Research, Wing 1.1, Cruciform Building, Gower Street, London WCIE 6BT, UK Microarray analysis offers a powerful tool for studying the mechanisms of cellular transformation, although the correlation between mRNA and protein expression is largely unknown. In this study, a microarray analysis was performed to compare transcription in response to overexpression of the ErbB-2 receptor tyrosine kinase in a model mammary luminal epithelial cell system, and in response to the ErbB-specific growth factor heregulin b1. We sought to validate mRNA changes by monitoring changes at the protein level using a parallel proteomics strategy, and report a surprisingly high correlation between transcription and translation for the subset of genes studied. We further characterised the identified targets and relate differential expression to changes in the biological properties of ErbB-2-overexpressing cells. We found differential regulation of several key cell cycle modulators, including cyclin D2, and downregulation of a large number of interferon-inducible genes, consistent with increased proliferation of the ErbB-2- overexpressing cells. Furthermore, differential expression of genes involved in extracellular matrix modelling and cellular adhesion was linked to altered adhesion of these cells. Finally, we provide evidence for enhanced autocrine activation of MAPK signalling and the AP-1 transcription complex. -
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. -
CCAAT/Enhancer Binding Protein Epsilon) Thomas Burmeister Charite, Med
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Gene Section Short Communication CEBPE (CCAAT/enhancer binding protein epsilon) Thomas Burmeister Charite, Med. Klinik fur Hamatologie, Onkologie und Tumorimmunologie, Hindenburgdamm 30, 12200 Berlin, Germany; [email protected] Published in Atlas Database: March 2017 Online updated version : http://AtlasGeneticsOncology.org/Genes/CEBPEID42984ch14q11.html Printable original version : http://documents.irevues.inist.fr/bitstream/handle/2042/69005/03-2017-CEBPEID42984ch14q11.pdf DOI: 10.4267/2042/69005 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2017 Atlas of Genetics and Cytogenetics in Oncology and Haematology alternative 3-exon-organization of the human Abstract CEBPE gene (Figure 1b). However, exon 1, as described by Yamanaka et al. contains a frameshift Review on CEBPE, with data on DNA, on the according to the GRCh38.p7 NCBI assembly. protein encoded, and where the gene is implicated. Transcription Keywords CEBPE; Transcription factor; Neutrophil specific Various transcripts have been reported, resulting in granule deficiency; Acute lymphoblastic leukemia; four protein isoforms (Lekstrom-Himes 2001, Translocation. Yamanaka 1997; Figure 1c). All transcripts share a common 3' end. Identity Protein Other names: CRP1 Description HGNC (Hugo): CEBPE CEBPE is a member of the CCAAT/enhancer- Location: 14q11.2 binding protein (C/EBP) family, which also Location (base pair) includes CEBPA, CEBPB, CEBPG, CEBPD and Starts at 23117306 and ends at 23119611 bp from CEBPZ (Ramji & Foka; 2002). A common pter (according to GRCh38.p7 Annotation Release structural feature of the C/EBP proteins is the 108, May 5 2016) presence of a highly conserved 55-65 amino acid sequence at the C-terminus which encodes a basic DNA/RNA leucine zipper motif (bZIP domain) that functions as a dimerization domain. -
2017.08.28 Anne Barry-Reidy Thesis Final.Pdf
REGULATION OF BOVINE β-DEFENSIN EXPRESSION THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF DUBLIN FOR THE DEGREE OF DOCTOR OF PHILOSOPHY 2017 ANNE BARRY-REIDY SCHOOL OF BIOCHEMISTRY & IMMUNOLOGY TRINITY COLLEGE DUBLIN SUPERVISORS: PROF. CLIONA O’FARRELLY & DR. KIERAN MEADE TABLE OF CONTENTS DECLARATION ................................................................................................................................. vii ACKNOWLEDGEMENTS ................................................................................................................... viii ABBREVIATIONS ................................................................................................................................ix LIST OF FIGURES............................................................................................................................. xiii LIST OF TABLES .............................................................................................................................. xvii ABSTRACT ........................................................................................................................................xix Chapter 1 Introduction ........................................................................................................ 1 1.1 Antimicrobial/Host-defence peptides ..................................................................... 1 1.2 Defensins................................................................................................................. 1 1.3 β-defensins ............................................................................................................. -
Open Dogan Phdthesis Final.Pdf
The Pennsylvania State University The Graduate School Eberly College of Science ELUCIDATING BIOLOGICAL FUNCTION OF GENOMIC DNA WITH ROBUST SIGNALS OF BIOCHEMICAL ACTIVITY: INTEGRATIVE GENOME-WIDE STUDIES OF ENHANCERS A Dissertation in Biochemistry, Microbiology and Molecular Biology by Nergiz Dogan © 2014 Nergiz Dogan Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2014 ii The dissertation of Nergiz Dogan was reviewed and approved* by the following: Ross C. Hardison T. Ming Chu Professor of Biochemistry and Molecular Biology Dissertation Advisor Chair of Committee David S. Gilmour Professor of Molecular and Cell Biology Anton Nekrutenko Professor of Biochemistry and Molecular Biology Robert F. Paulson Professor of Veterinary and Biomedical Sciences Philip Reno Assistant Professor of Antropology Scott B. Selleck Professor and Head of the Department of Biochemistry and Molecular Biology *Signatures are on file in the Graduate School iii ABSTRACT Genome-wide measurements of epigenetic features such as histone modifications, occupancy by transcription factors and coactivators provide the opportunity to understand more globally how genes are regulated. While much effort is being put into integrating the marks from various combinations of features, the contribution of each feature to accuracy of enhancer prediction is not known. We began with predictions of 4,915 candidate erythroid enhancers based on genomic occupancy by TAL1, a key hematopoietic transcription factor that is strongly associated with gene induction in erythroid cells. Seventy of these DNA segments occupied by TAL1 (TAL1 OSs) were tested by transient transfections of cultured hematopoietic cells, and 56% of these were active as enhancers. Sixty-six TAL1 OSs were evaluated in transgenic mouse embryos, and 65% of these were active enhancers in various tissues. -
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. -
Breast Cancer Res 7
Available online http://breast-cancer-research.com/content/7/5/R753 ResearchVol 7 No 5 article Open Access Phosphorylation of estrogen receptor α serine 167 is predictive of response to endocrine therapy and increases postrelapse survival in metastatic breast cancer Hiroko Yamashita1, Mariko Nishio2, Shunzo Kobayashi3, Yoshiaki Ando1, Hiroshi Sugiura1, Zhenhuan Zhang2, Maho Hamaguchi1, Keiko Mita1, Yoshitaka Fujii1 and Hirotaka Iwase2 1Oncology and Immunology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan 2Oncology and Endocrinology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan 3Josai Municipal Hospital of Nagoya, Nagoya, Japan Corresponding author: Hiroko Yamashita, [email protected] Received: 29 Jan 2005 Revisions requested: 15 Apr 2005 Revisions received: 12 Jun 2005 Accepted: 28 Jun 2005 Published: 27 Jul 2005 Breast Cancer Research 2005, 7:R753-R764 (DOI 10.1186/bcr1285) This article is online at: http://breast-cancer-research.com/content/7/5/R753 © 2005 Yamashita et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/ 2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Introduction Endocrine therapy is the most important treatment Results Phosphorylation of ER-α Ser118, but not Ser167, was option for women with hormone-receptor-positive breast positively associated with overexpression of HER2, and HER2- cancer. The potential mechanisms for endocrine resistance positive tumors showed resistance to endocrine therapy. The involve estrogen receptor (ER)-coregulatory proteins and present study has shown for the first time that phosphorylation crosstalk between ER and other growth factor signaling of ER-α Ser167, but not Ser118, and expression of PRA and networks. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4).