Genetic Determinants of the Development and Evolution of Drosophila Pigmentation
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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. -
Evolution of a Pest: Towards the Complete Neuroethology of Drosophila Suzukii and the Subgenus Sophophora Ian W
bioRxiv preprint first posted online Jul. 28, 2019; doi: http://dx.doi.org/10.1101/717322. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license. ARTICLES PREPRINT Evolution of a pest: towards the complete neuroethology of Drosophila suzukii and the subgenus Sophophora Ian W. Keesey1*, Jin Zhang1, Ana Depetris-Chauvin1, George F. Obiero2, Markus Knaden1‡*, and Bill S. Hansson1‡* Comparative analysis of multiple genomes has been used extensively to examine the evolution of chemosensory receptors across the genus Drosophila. However, few studies have delved into functional characteristics, as most have relied exclusively on genomic data alone, especially for non-model species. In order to increase our understanding of olfactory evolution, we have generated a comprehensive assessment of the olfactory functions associated with the antenna and palps for Drosophila suzukii as well as sev- eral other members of the subgenus Sophophora, thus creating a functional olfactory landscape across a total of 20 species. Here we identify and describe several common elements of evolution, including consistent changes in ligand spectra as well as relative receptor abundance, which appear heavily correlated with the known phylogeny. We also combine our functional ligand data with protein orthologue alignments to provide a high-throughput evolutionary assessment and predictive model, where we begin to examine the underlying mechanisms of evolutionary changes utilizing both genetics and odorant binding affinities. In addition, we document that only a few receptors frequently vary between species, and we evaluate the justifications for evolution to reoccur repeatedly within only this small subset of available olfactory sensory neurons. -
Metastatic Adrenocortical Carcinoma Displays Higher Mutation Rate and Tumor Heterogeneity Than Primary Tumors
ARTICLE DOI: 10.1038/s41467-018-06366-z OPEN Metastatic adrenocortical carcinoma displays higher mutation rate and tumor heterogeneity than primary tumors Sudheer Kumar Gara1, Justin Lack2, Lisa Zhang1, Emerson Harris1, Margaret Cam2 & Electron Kebebew1,3 Adrenocortical cancer (ACC) is a rare cancer with poor prognosis and high mortality due to metastatic disease. All reported genetic alterations have been in primary ACC, and it is 1234567890():,; unknown if there is molecular heterogeneity in ACC. Here, we report the genetic changes associated with metastatic ACC compared to primary ACCs and tumor heterogeneity. We performed whole-exome sequencing of 33 metastatic tumors. The overall mutation rate (per megabase) in metastatic tumors was 2.8-fold higher than primary ACC tumor samples. We found tumor heterogeneity among different metastatic sites in ACC and discovered recurrent mutations in several novel genes. We observed 37–57% overlap in genes that are mutated among different metastatic sites within the same patient. We also identified new therapeutic targets in recurrent and metastatic ACC not previously described in primary ACCs. 1 Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 2 Center for Cancer Research, Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 3 Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA 94305, USA. Correspondence and requests for materials should be addressed to E.K. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:4172 | DOI: 10.1038/s41467-018-06366-z | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-06366-z drenocortical carcinoma (ACC) is a rare malignancy with types including primary ACC from the TCGA to understand our A0.7–2 cases per million per year1,2. -
Press Release
Press Release No. 30/December 14, 2011 Press2011_Leibniz-Prize_Nikolaus_Rajewsky Nikolaus Rajewsky of the MDC to Receive the Leibniz Prize – the Highest Honor Awarded in German Research Professor Nikolaus Rajewsky of the Max Delbrück Center for Molecular Medicine (MDC) Berlin is to receive Germany’s most prestigious research award, the Gottfried Wilhelm Leibniz Prize. The announcement was made by the German Research Foundation (DFG) on Thursday, December 8, 2011. This is the second time the prize will go to the MDC. In 2002 Professor Carmen Birchmeier received the award. In 2012 the prize will be awarded to a total of eleven scientists: two women and nine men were selected from among 131 nominations. The Leibniz Prizes, each endowed with up to 2.5 million euros, will be presented in an award ceremony in Berlin on February 27, 2012. Nikolaus Rajewsky is Professor of Systems Biology at the MDC and the Charité and Scientific Director of the “Berlin Institute for Medical Systems Biology” (BIMSB) at the MDC. Systems biology combines molecular biology, biochemistry, mathematics and physics in order to quantitatively capture and predict complex processes of life. Professor Rajewsky’s research activities focus mainly on microRNAs, a group of genes discovered only a few years ago. As Nikolaus Rajewsky has demonstrated experimentally and with the aid of bioinformatics, microRNAs play an important role in the regulation of genes, including those that play a crucial role in the development of diseases. This discovery opens up a huge field of potential applications, including target structures for novel therapy approaches. In addition, Professor Rajewsky and his group have also made important methodological and technological advances. -
German Immunologist Receives Ernst Schering Prize
PRESSEINFORMATION Retired in Germany, successful at Harvard: German immunologist receives Ernst Schering Prize Klaus Rajewsky receives the Ernst Schering Prize 2008 for his outstanding research in the area of analysis, development, activation and differentiation of B-lymphocytes. Berlin, 7th of October 2008 Today Professor Klaus Rajewsky from the Immune Disease Institute of Harvard Medical School, Boston, USA receives the Ernst Schering Prize 2008 for his pioneering work in the area of B-cell-biology. With his research he has significantly contributed to our understanding of B-lymphocytes as well as the development of certain lymphatic cancers, the so called lymphomas. Since his discovery that B-cells from germinal centres are the tumour cells of Hodgkin’s Lymphoma, Rajewksy and his team have been working on reconstructing the pathogenic course of the disease in a mouse model. Using the technology of conditional gene targeting, which was developed by Rajewsky, they aim to reveal the genetic background of the disease. The 50.000 Euro Ernst Schering Prize will be awarded to the laureate during a ceremony in Berlin. By awarding the Ernst Schering Prize to Klaus Rajewsky the Schering Foundation wishes to draw attention to the loss of outstanding German researchers due to strict retirement regulations in the German academic system. Rajewsky, who was forced to retire as an active researcher after almost thirty years at the University of Cologne, took up professorship at the University of Harvard, where he still heads a successful and productive research group. “The German retirement regulations would have resulted in shaky financial conditions for my group in Cologne”, Rajewsky recalls. -
Olfactory Receptors Tuned to Volatile Mustard Oils in Drosophilid Flies Au
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.27.889774; this version posted December 28, 2019. 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-ND 4.0 International license. Classification: Biological Sciences, Evolution Title: Olfactory receptors tuned to volatile mustard oils in drosophilid flies Authors: *Teruyuki Matsunaga1, *Carolina E. Reisenman2, *Benjamin Goldman-Huertas3, Philipp Brand4, Kevin Miao1, Hiromu Suzuki1, Santiago R. Ramírez4, Noah K. Whiteman1# *Equal contributions Affiliations: 1 Department of Integrative Biology, University of California Berkeley, Berkeley, CA 2 Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 3 Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 4 Department of Evolution and Ecology, University of California Davis, Davis, CA #Correspondence to: [email protected] (N.K.W.) Keywords: Scaptomyza flava, Drosophila melanogaster, herbivory, evolution, olfaction, isothiocyanate, chemoreceptor, olfactory receptor, TrpA1, wasabi, Or67b bioRxiv preprint doi: https://doi.org/10.1101/2019.12.27.889774; this version posted December 28, 2019. 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-ND 4.0 International license. Abstract (248): Plant toxins are effective defenses because they are aversive to most insects. The same molecules, however, are co-opted as host-finding cues by specialist herbivores. Although these behavioral shifts are central to our understanding of herbivorous insect diversification, it is not well understood how these behaviors evolve. -
Ranking Variable Combinations to Characterize Breast Cancer Subtypes Using the IBIF-RF Metric
EPiC Series in Computing Volume 70, 2020, Pages 11{20 Proceedings of the 12th International Conference on Bioinformatics and Computational Biology Ranking Variable Combinations to Characterize Breast Cancer Subtypes using the IBIF-RF Metric Isis Narvaez-Bandera and Wandaliz Torres-Garc´ıa University of Puerto Rico, Mayag¨uezCampus, PR, 00681 USA [email protected] and [email protected] Abstract Gene interactions play a fundamental role in the proneness to cancer. However, detect- ing and ranking these interactions is a complex problem due to the high dimensionality of genomic data. Hence, we aim to find patterns composed of multiple features to molecu- larly characterize breast cancer subtypes from the integration of different omics datasets using a data mining approach. To retrieve biological understanding from these compu- tational results, we developed IBIF-RF (Importance Between Interactive Features using Random Forest), a new metric capable of assessing and holistically ranking the importance of genomic interactions without any prior knowledge of key feature combinations. A set of 247 top-performing features from transcriptomic, proteomic, methylation, and clinical data were used to investigate interactive patterns to classify breast cancer subtypes us- ing over 1150 samples. IBIF-RF metric allowed the extraction of 154312, 190481, and 463917 combinations of variables for TCGA, GSE20685, and GSE21653 datasets. Single genes, MLPH and FOXA1, were the most frequently identified variables across all datasets followed by some two-gene interactions such as CEP55-FOXA1 and FOXC1-THSD4. More- over, IBIF-RF metric allowed the definition of two sets of genes frequently found together (1: FOXA1, MLPH, and SIDT1, and 2: CEP55, ASPM, CENPL, AURKA, ESPL1, TTK, UBE2T, NCAPG, GMPS, NDC80, MYBL2, KIF18B, and EXO1). -
The Use of Genetic Analyses and Functional Assays for the Interpretation of Rare Variants in Pediatric Heart Disease
The use of genetic analyses and functional assays for the interpretation of rare variants in pediatric heart disease A dissertation submitted to the Division of Graduate Studies and Research, University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Molecular Genetics by Jeffrey A. Schubert Bachelor of Science, Mount St. Joseph University, 2012 Committee Chair: Stephanie M. Ware, M.D., Ph.D. Edmund Choi, Ph.D. Benjamin Landis, M.D. Anil Menon, Ph.D. David Wieczorek, Ph.D. Molecular Genetics, Biochemistry, and Microbiology Graduate Program College of Medicine, University of Cincinnati Cincinnati, Ohio, USA, 2018 ABSTRACT The use of next generation technologies such as whole exome sequencing (WES) has paved the way for discovering novel causes of Mendelian diseases. This has been demonstrated in pediatric heart diseases, including cardiomyopathy (CM) and familial thoracic aortic aneurysm (TAA). Each of these conditions carries a high risk of a serious cardiac event, including sudden heart failure or aortic rupture, which are often fatal. Patients with either disease can be asymptomatic before presenting with these events, which necessitates early diagnosis. Though there are many known genetic causes of disease for both conditions, there is still room for discovery of novel pathogenic genes and variants, as many patients have an undefined genetic diagnosis. WES covers the protein-coding portion of the genome, which yields a massive amount of data, though it comprises only 1% of the genome. Sorting and filtering sequencing information to identify (sometimes) a single base pair change responsible for the patient phenotype is challenging. Further, interpreting identified candidate variants must be done according to strict standards, which makes it difficult to definitively say whether a coding change is pathogenic or benign. -
Novel Genes Derived from Noncoding DNA in Drosophila Melanogaster Are Frequently X-Linked and Exhibit Testis-Biased Expression
Novel genes derived from noncoding DNA in Drosophila melanogaster are frequently X-linked and exhibit testis-biased expression Mia T. Levine*†, Corbin D. Jones‡, Andrew D. Kern*, Heather A. Lindfors*, and David J. Begun* *Center for Population Biology, University of California, Davis, CA 95616; and ‡Department of Biology and Carolina Center for Genome Science, University of North Carolina, Chapel Hill, NC 27599 Edited by Margaret G. Kidwell, University of Arizona, Tucson, AZ, and approved April 28, 2006 (received for review November 10, 2005) Descriptions of recently evolved genes suggest several mecha- EST or complete cDNA sequence (http:͞͞flybase.org)], with the nisms of origin including exon shuffling, gene fission͞fusion, exception of one gene, CG32712, which we experimentally retrotransposition, duplication-divergence, and lateral gene trans- confirmed with RT-PCR (see below). This list was further fer, all of which involve recruitment of preexisting genes or genetic reduced to five genes by requiring high-quality syntenic align- elements into new function. The importance of noncoding DNA in ments of the flanking regions of the candidate D. melanogaster the origin of novel genes remains an open question. We used the lineage-specific genes with the corresponding regions in D. well annotated genome of the genetic model system Drosophila yakuba, D. erecta, and D. ananassae (Fig. 5, which is published as melanogaster and genome sequences of related species to carry supporting information on the PNAS web site). Those genes out a whole-genome search for new D. melanogaster genes that whose syntenic alignments revealed the absence of the focal D. are derived from noncoding DNA. -
MDC-NYU Phd Exchange Program in Medical Systems Biology
MDC-NYU PhD Exchange Program in Medical Systems Biology Basic information Keywords: Medical Systems Biology │ Computational Biology │ Mathematical Modeling│ Developmental Biology │ RNA Biology │ Gene Regulation │ -Omics Technologies │ Imaging Technologies Program director(s): Prof.Nikolaus Rajewsky (Berlin) and Prof. Stephen J. Small (New York) Program coordinators: Dr Jutta Steinkötter (management) and Dr Grietje Krabbe (administration). Enquiries to [email protected] Program weblink: www.mdc-berlin.de/bimsb Detailed program information Program summary description: The Berlin Institute for Medical Systems Biology offers an exceptional PhD Exchange Program to support interdisciplinary research projects and international PhD education. PhD topics are structured as collaborative projects between the Center for Genomics and Systems Biology at New York University and the Berlin Institute for Medical Systems Biology at the MDC. A Principal Investigator from each institution supervises each student, students who are expected to divide their time between Berlin and New York, taking advantage of complimentary research and training expertise. Resources are available for travel from Berlin to New York for short and long term working periods as well as for course and conference participation. The regular guidance of an international PhD Committee supports the creation of individual research and training portfolios. Systems medicine and/or translational highlights: extensive bioinformatics; training in and access to BIMSB and BIH state of the art genomic, transcriptomic, proteomic and metabolomics technologies; major national and international collaborations e.g. Charité and MRC Clinical Sciences Center London. Primary funding source: Helmholtz Association Program start date: 02/2009 Number of students recruited per year (estimated): 2-3 Number of program funded positions/places (excluding third party funding): up to 10 Duration of program: 3-4 years Scientific training Lecture series: Each semester Systems Biology Lectures tackle a new topic in the field. -
Integrative Analysis of Next Generation Sequencing for Small Non-Coding
Beck et al. BMC Medical Genomics 2011, 4:19 http://www.biomedcentral.com/1755-8794/4/19 RESEARCHARTICLE Open Access Integrative analysis of next generation sequencing for small non-coding RNAs and transcriptional regulation in Myelodysplastic Syndromes Dominik Beck1,2, Steve Ayers4, Jianguo Wen3, Miriam B Brandl1,2, Tuan D Pham1, Paul Webb4, Chung-Che Chang3*, Xiaobo Zhou1* Abstract Background: Myelodysplastic Syndromes (MDSS) are pre-leukemic disorders with increasing incident rates worldwide, but very limited treatment options. Little is known about small regulatory RNAs and how they contribute to pathogenesis, progression and transcriptome changes in MDS. Methods: Patients’ primary marrow cells were screened for short RNAs (RNA-seq) using next generation sequencing. Exon arrays from the same cells were used to profile gene expression and additional measures on 98 patients obtained. Integrative bioinformatics algorithms were proposed, and pathway and ontology analysis performed. Results: In low-grade MDS, observations implied extensive post-transcriptional regulation via microRNAs (miRNA) and the recently discovered Piwi interacting RNAs (piRNA). Large expression differences were found for MDS- associated and novel miRNAs, including 48 sequences matching to miRNA star (miRNA*) motifs. The detected species were predicted to regulate disease stage specific molecular functions and pathways, including apoptosis and response to DNA damage. In high-grade MDS, results suggested extensive post-translation editing via transfer RNAs (tRNAs), providing a potential link for reduced apoptosis, a hallmark for this disease stage. Bioinformatics analysis confirmed important regulatory roles for MDS linked miRNAs and TFs, and strengthened the biological significance of miRNA*. The “RNA polymerase II promoters” were identified as the tightest controlled biological function. -
Integrated Identification of Key Genes and Pathways in Alzheimer's Disease Via Comprehensive Bioinformatical Analyses
Yan et al. Hereditas (2019) 156:25 https://doi.org/10.1186/s41065-019-0101-0 RESEARCH Open Access Integrated identification of key genes and pathways in Alzheimer’s disease via comprehensive bioinformatical analyses Tingting Yan* , Feng Ding and Yan Zhao Abstract Background: Alzheimer’s disease (AD) is known to be caused by multiple factors, meanwhile the pathogenic mechanism and development of AD associate closely with genetic factors. Existing understanding of the molecular mechanisms underlying AD remains incomplete. Methods: Gene expression data (GSE48350) derived from post-modern brain was extracted from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were derived from hippocampus and entorhinal cortex regions between AD patients and healthy controls and detected via Morpheus. Functional enrichment analyses, including Gene Ontology (GO) and pathway analyses of DEGs, were performed via Cytoscape and followed by the construction of protein-protein interaction (PPI) network. Hub proteins were screened using the criteria: nodes degree≥10 (for hippocampus tissues) and ≥ 8 (for entorhinal cortex tissues). Molecular Complex Detection (MCODE) was used to filtrate the important clusters. University of California Santa Cruz (UCSC) and the database of RNA-binding protein specificities (RBPDB) were employed to identify the RNA-binding proteins of the long non-coding RNA (lncRNA). Results: 251 & 74 genes were identified as DEGs, which consisted of 56 & 16 up-regulated genes and 195 & 58 down-regulated genes in hippocampus and entorhinal cortex, respectively. Biological analyses demonstrated that the biological processes and pathways related to memory, transmembrane transport, synaptic transmission, neuron survival, drug metabolism, ion homeostasis and signal transduction were enriched in these genes.