Genome-Wide Analyses Identify Transcription Factors Required for Proper Morphogenesis of Drosophila Sensory Neuron Dendrites
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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. -
Functional Roles of Bromodomain Proteins in Cancer
cancers Review Functional Roles of Bromodomain Proteins in Cancer Samuel P. Boyson 1,2, Cong Gao 3, Kathleen Quinn 2,3, Joseph Boyd 3, Hana Paculova 3 , Seth Frietze 3,4,* and Karen C. Glass 1,2,4,* 1 Department of Pharmaceutical Sciences, Albany College of Pharmacy and Health Sciences, Colchester, VT 05446, USA; [email protected] 2 Department of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, VT 05405, USA; [email protected] 3 Department of Biomedical and Health Sciences, University of Vermont, Burlington, VT 05405, USA; [email protected] (C.G.); [email protected] (J.B.); [email protected] (H.P.) 4 University of Vermont Cancer Center, Burlington, VT 05405, USA * Correspondence: [email protected] (S.F.); [email protected] (K.C.G.) Simple Summary: This review provides an in depth analysis of the role of bromodomain-containing proteins in cancer development. As readers of acetylated lysine on nucleosomal histones, bromod- omain proteins are poised to activate gene expression, and often promote cancer progression. We examined changes in gene expression patterns that are observed in bromodomain-containing proteins and associated with specific cancer types. We also mapped the protein–protein interaction network for the human bromodomain-containing proteins, discuss the cellular roles of these epigenetic regu- lators as part of nine different functional groups, and identify bromodomain-specific mechanisms in cancer development. Lastly, we summarize emerging strategies to target bromodomain proteins in cancer therapy, including those that may be essential for overcoming resistance. Overall, this review provides a timely discussion of the different mechanisms of bromodomain-containing pro- Citation: Boyson, S.P.; Gao, C.; teins in cancer, and an updated assessment of their utility as a therapeutic target for a variety of Quinn, K.; Boyd, J.; Paculova, H.; cancer subtypes. -
Visualizing Morphogenesis with the Processing Programming Language 15
Visualizing Morphogenesis with the Processing Programming Language 15 Visualizing Morphogenesis with the Processing Programming Language Avik Patel, Amar Bains, Richard Millet, and Tamira Elul changing tissue shapes. A powerful technique for elucidating the We used Processing, a visual artists’ programming dynamic cellular mechanisms of morphogenesis is time-lapse video- language developed at MIT Media Lab, to simulate microscopic imaging of cells in embryonic tissues undergoing cellular mechanisms of morphogenesis – the generation morphogenesis (Elul and Keller 2000; Elul et al., 1997; Harris et al., of form and shape in embryonic tissues. Based on 1987). The mechanisms underlying morphogenetic processes can be clarified by observation of cell dynamics from these time-lapse video observations of in vivo time-lapse image sequences, we sequences. Morphometric measurement further defines the created animations of neural cell motility responsible for quantitative and statistical relationships between the cell dynamics that elongating the spinal cord, and of optic axon branching underlie morphogenesis (Kim and Davidson 2011; Marshak et al., dynamics that establish primary visual connectivity. 2007; Elul et al., 1997; Witte et al., 1996). Mathematical These visual models underscore the significance of the decomposition of cell dynamics additionally facilitates the computational decomposition of cellular dynamics computational modeling of cellular mechanisms that drive underlying morphogenesis. morphogenesis (Satulovsky et al., 2008). Methods In this paper, we use the Processing programming language to visualize dynamic cell behaviors driving morphogenesis in the Introduction developing nervous system. Based on in vivo time-lapse image sequences, we created models of cell dynamics underlying two Processing is a Java based software language and environment morphogenetic processes in the developing nervous system. -
SF3B3) and Sin3a Associated Protein 130 (SAP130
cells Communication Ambiguity about Splicing Factor 3b Subunit 3 (SF3B3) and Sin3A Associated Protein 130 (SAP130) Paula I. Metselaar 1,* , Celine Hos 1, Olaf Welting 1, Jos A. Bosch 2,3, Aletta D. Kraneveld 4 , Wouter J. de Jonge 1 and Anje A. Te Velde 1 1 Tytgat Institute for Liver and Intestinal Research, AGEM, Amsterdam UMC, University of Amsterdam, 1105BK Amsterdam, The Netherlands; [email protected] (C.H.); [email protected] (O.W.); [email protected] (W.J.d.J.); [email protected] (A.A.T.V.) 2 Department of Psychology, University of Amsterdam, 1018WS Amsterdam, The Netherlands; [email protected] 3 Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, 1001NK Amsterdam, The Netherlands 4 Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, 3584CG Utrecht, The Netherlands; [email protected] * Correspondence: [email protected] Abstract: In 2020, three articles were published on a protein that can activate the immune system by binding to macrophage-inducible C-type lectin receptor (Mincle). In the articles, the protein was referred to as ‘SAP130, a subunit of the histone deacetylase complex.’ However, the Mincle ligand the authors aimed to investigate is splicing factor 3b subunit 3 (SF3B3). This splicing factor is unrelated to SAP130 (Sin3A associated protein 130, a subunit of the histone deacetylase-dependent Sin3A corepressor complex). The conclusions in the three articles were formulated for SF3B3, Citation: Metselaar, P.I.; Hos, C.; while the researchers used qPCR primers and antibodies against SAP130. -
Prospective Isolation of NKX2-1–Expressing Human Lung Progenitors Derived from Pluripotent Stem Cells
The Journal of Clinical Investigation RESEARCH ARTICLE Prospective isolation of NKX2-1–expressing human lung progenitors derived from pluripotent stem cells Finn Hawkins,1,2 Philipp Kramer,3 Anjali Jacob,1,2 Ian Driver,4 Dylan C. Thomas,1 Katherine B. McCauley,1,2 Nicholas Skvir,1 Ana M. Crane,3 Anita A. Kurmann,1,5 Anthony N. Hollenberg,5 Sinead Nguyen,1 Brandon G. Wong,6 Ahmad S. Khalil,6,7 Sarah X.L. Huang,3,8 Susan Guttentag,9 Jason R. Rock,4 John M. Shannon,10 Brian R. Davis,3 and Darrell N. Kotton1,2 2 1Center for Regenerative Medicine, and The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA. 3Center for Stem Cell and Regenerative Medicine, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA. 4Department of Anatomy, UCSF, San Francisco, California, USA. 5Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA. 6Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, Massachusetts, USA. 7Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA. 8Columbia Center for Translational Immunology & Columbia Center for Human Development, Columbia University Medical Center, New York, New York, USA. 9Department of Pediatrics, Monroe Carell Jr. Children’s Hospital, Vanderbilt University, Nashville, Tennessee, USA. 10Division of Pulmonary Biology, Cincinnati Children’s Hospital, Cincinnati, Ohio, USA. It has been postulated that during human fetal development, all cells of the lung epithelium derive from embryonic, endodermal, NK2 homeobox 1–expressing (NKX2-1+) precursor cells. -
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
Characterization of Genomic Copy Number Variation in Mus Musculus Associated with the Germline of Inbred and Wild Mouse Populations, Normal Development, and Cancer
Western University Scholarship@Western Electronic Thesis and Dissertation Repository 4-18-2019 2:00 PM Characterization of genomic copy number variation in Mus musculus associated with the germline of inbred and wild mouse populations, normal development, and cancer Maja Milojevic The University of Western Ontario Supervisor Hill, Kathleen A. The University of Western Ontario Graduate Program in Biology A thesis submitted in partial fulfillment of the equirr ements for the degree in Doctor of Philosophy © Maja Milojevic 2019 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Genetics and Genomics Commons Recommended Citation Milojevic, Maja, "Characterization of genomic copy number variation in Mus musculus associated with the germline of inbred and wild mouse populations, normal development, and cancer" (2019). Electronic Thesis and Dissertation Repository. 6146. https://ir.lib.uwo.ca/etd/6146 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. Abstract Mus musculus is a human commensal species and an important model of human development and disease with a need for approaches to determine the contribution of copy number variants (CNVs) to genetic variation in laboratory and wild mice, and arising with normal mouse development and disease. Here, the Mouse Diversity Genotyping array (MDGA)-approach to CNV detection is developed to characterize CNV differences between laboratory and wild mice, between multiple normal tissues of the same mouse, and between primary mammary gland tumours and metastatic lung tissue. -
Mediator of DNA Damage Checkpoint 1 (MDC1) Is a Novel Estrogen Receptor Co-Regulator in Invasive 6 Lobular Carcinoma of the Breast 7 8 Evelyn K
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423142; this version posted December 16, 2020. 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 4.0 International license. 1 Running Title: MDC1 co-regulates ER in ILC 2 3 Research article 4 5 Mediator of DNA damage checkpoint 1 (MDC1) is a novel estrogen receptor co-regulator in invasive 6 lobular carcinoma of the breast 7 8 Evelyn K. Bordeaux1+, Joseph L. Sottnik1+, Sanjana Mehrotra1, Sarah E. Ferrara2, Andrew E. Goodspeed2,3, James 9 C. Costello2,3, Matthew J. Sikora1 10 11 +EKB and JLS contributed equally to this project. 12 13 Affiliations 14 1Dept. of Pathology, University of Colorado Anschutz Medical Campus 15 2Biostatistics and Bioinformatics Shared Resource, University of Colorado Comprehensive Cancer Center 16 3Dept. of Pharmacology, University of Colorado Anschutz Medical Campus 17 18 Corresponding author 19 Matthew J. Sikora, PhD.; Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 E. 17th Ave.; Aurora, 20 CO 80045. Tel: (303)724-4301; Fax: (303)724-3712; email: [email protected]. Twitter: 21 @mjsikora 22 23 Authors' contributions 24 MJS conceived of the project. MJS, EKB, and JLS designed and performed experiments. JLS developed models 25 for the project. EKB, JLS, SM, and AEG contributed to data analysis and interpretation. SEF, AEG, and JCC 26 developed and performed informatics analyses. MJS wrote the draft manuscript; all authors read and revised the 27 manuscript and have read and approved of this version of the manuscript. -
Trim33 Is Essential for Macrophage and Neutrophil Mobilization To
© 2017. Published by The Company of Biologists Ltd | Journal of Cell Science (2017) 130, 2797-2807 doi:10.1242/jcs.203471 RESEARCH ARTICLE Trim33 is essential for macrophage and neutrophil mobilization to developmental or inflammatory cues Doris Lou Demy1,2,*, Muriel Tauzin1,2,‡, Mylenè Lancino1,2,Véronique Le Cabec3,4, Michael Redd5, Emi Murayama1,2, Isabelle Maridonneau-Parini3,4, Nikolaus Trede5 and Philippe Herbomel1,2,§ ABSTRACT first organs to become colonized in this way in mammalian and Macrophages infiltrate and establish in developing organs from an avian embryogenesis is the central nervous system (CNS) (Sorokin early stage, often before these have become vascularized. Similarly, et al., 1992; Cuadros et al., 1993), and at least in mammals, the leukocytes, in general, can quickly migrate through tissues to any site resulting resident macrophages then comprise the microglia for the of wounding. This unique capacity is rooted in their characteristic whole life of the animal (Kierdorf et al., 2015). The molecular and amoeboid motility, the genetic basis of which is poorly understood. cellular determinants of this early colonization are mostly unknown. Trim33 (also known as Tif1-γ), a nuclear protein that associates In the zebrafish embryo, primitive macrophages born in the yolk sac with specific DNA-binding transcription factors to modulate gene colonize the tissues of the embryo, notably the head, brain and expression, has been found to be mainly involved in hematopoiesis retina, in a pattern very similar to that seen in mammalian and avian and gene regulation mediated by TGF-β. Here, we have discovered embryos (Herbomel et al., 2001). The M-CSF/CSF-1 receptor that in Trim33-deficient zebrafish embryos, primitive macrophages are (CSF1-R) was found to be dispensable for the differentiation of unable to colonize the central nervous system to become microglia. -
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. -
Loss of Fam60a, a Sin3a Subunit, Results in Embryonic Lethality and Is Associated with Aberrant Methylation at a Subset of Gene
RESEARCH ARTICLE Loss of Fam60a, a Sin3a subunit, results in embryonic lethality and is associated with aberrant methylation at a subset of gene promoters Ryo Nabeshima1,2, Osamu Nishimura3,4, Takako Maeda1, Natsumi Shimizu2, Takahiro Ide2, Kenta Yashiro1†, Yasuo Sakai1, Chikara Meno1, Mitsutaka Kadota3,4, Hidetaka Shiratori1†, Shigehiro Kuraku3,4*, Hiroshi Hamada1,2* 1Developmental Genetics Group, Graduate School of Frontier Biosciences, Osaka University, Suita, Japan; 2Laboratory for Organismal Patterning, RIKEN Center for Developmental Biology, Kobe, Japan; 3Phyloinformatics Unit, RIKEN Center for Life Science Technologies, Kobe, Japan; 4Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan Abstract We have examined the role of Fam60a, a gene highly expressed in embryonic stem cells, in mouse development. Fam60a interacts with components of the Sin3a-Hdac transcriptional corepressor complex, and most Fam60a–/– embryos manifest hypoplasia of visceral organs and die in utero. Fam60a is recruited to the promoter regions of a subset of genes, with the expression of these genes being either up- or down-regulated in Fam60a–/– embryos. The DNA methylation level of the Fam60a target gene Adhfe1 is maintained at embryonic day (E) 7.5 but markedly reduced at –/– *For correspondence: E9.5 in Fam60a embryos, suggesting that DNA demethylation is enhanced in the mutant. [email protected] (SK); Examination of genome-wide DNA methylation identified several differentially methylated regions, [email protected] (HH) which were preferentially hypomethylated, in Fam60a–/– embryos. Our data suggest that Fam60a is †These authors contributed required for proper embryogenesis, at least in part as a result of its regulation of DNA methylation equally to this work at specific gene promoters. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of