Literature DB >> 29761464

EchinoBase: Tools for Echinoderm Genome Analyses.

Gregory A Cary1, R Andrew Cameron2,3, Veronica F Hinman2.   

Abstract

The echinoderms are a phylum of invertebrate deuterostome animals that constitute important research models for a number of biological disciplines. EchinoBase ( www.echinobase.org ) is an echinoderm-specific genome database and web information system that provides a platform for the interrogation and exploration of echinoderm genomic data. This chapter outlines the datasets available on EchinoBase; from assembled genomes and genome annotations, to spatial and quantitative expression data, as well as functional genomics datasets. We also highlight the bioinformatic tools available on the website to facilitate rapid inquiries using these data (genome browsers, precompiled BLAST databases, etc.), and suggest optimized strategies for performing these inquiries. We conclude with a perspective on how one could integrate various genomic resources to predict putative noncoding regulatory regions. The available datasets and analyses they permit provide the basic components required for developing an understanding of how echinoderm genomes are regulated, especially during early development, and provides a platform for comparative genomic inquiries among species in this phylum.

Entities:  

Keywords:  Brittle star; Echinoderm; Expression; Gene regulatory network (GRN); Genome; Sea cucumber; Sea star; Sea urchin

Mesh:

Year:  2018        PMID: 29761464     DOI: 10.1007/978-1-4939-7737-6_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

Review 1.  Ion channels and signaling pathways used in the fast polyspermy block.

Authors:  Katherine L Wozniak; Anne E Carlson
Journal:  Mol Reprod Dev       Date:  2019-05-13       Impact factor: 2.609

2.  Polarized Dishevelled dissolution and reassembly drives embryonic axis specification in sea star oocytes.

Authors:  S Zachary Swartz; Tzer Han Tan; Margherita Perillo; Nikta Fakhri; Gary M Wessel; Athula H Wikramanayake; Iain M Cheeseman
Journal:  Curr Biol       Date:  2021-11-04       Impact factor: 10.834

3.  A nomenclature for echinoderm genes.

Authors:  Thomas R Beatman; Katherine M Buckley; Gregory A Cary; Veronica F Hinman; Charles A Ettensohn
Journal:  Database (Oxford)       Date:  2021-08-07       Impact factor: 4.462

4.  Integration of 1:1 orthology maps and updated datasets into Echinobase.

Authors:  Saoirse Foley; Carolyn Ku; Brad Arshinoff; Vaneet Lotay; Kamran Karimi; Peter D Vize; Veronica Hinman
Journal:  Database (Oxford)       Date:  2021-05-19       Impact factor: 3.451

5.  Developmental gene regulatory network connections predicted by machine learning from gene expression data alone.

Authors:  Jingyi Zhang; Farhan Ibrahim; Emily Najmulski; George Katholos; Doaa Altarawy; Lenwood S Heath; Sarah L Tulin
Journal:  PLoS One       Date:  2021-12-28       Impact factor: 3.240

6.  Echinobase: leveraging an extant model organism database to build a knowledgebase supporting research on the genomics and biology of echinoderms.

Authors:  Bradley I Arshinoff; Gregory A Cary; Kamran Karimi; Saoirse Foley; Sergei Agalakov; Francisco Delgado; Vaneet S Lotay; Carolyn J Ku; Troy J Pells; Thomas R Beatman; Eugene Kim; R Andrew Cameron; Peter D Vize; Cheryl A Telmer; Jenifer C Croce; Charles A Ettensohn; Veronica F Hinman
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

7.  Spatial and temporal patterns of gene expression during neurogenesis in the sea urchin Lytechinus variegatus.

Authors:  Leslie A Slota; Esther M Miranda; David R McClay
Journal:  Evodevo       Date:  2019-02-12       Impact factor: 2.250

8.  Drosophila SLC22 Orthologs Related to OATs, OCTs, and OCTNs Regulate Development and Responsiveness to Oxidative Stress.

Authors:  Darcy C Engelhart; Priti Azad; Suwayda Ali; Jeffry C Granados; Gabriel G Haddad; Sanjay K Nigam
Journal:  Int J Mol Sci       Date:  2020-03-15       Impact factor: 5.923

9.  CrustyBase: an interactive online database for crustacean transcriptomes.

Authors:  Cameron J Hyde; Quinn P Fitzgibbon; Abigail Elizur; Gregory G Smith; Tomer Ventura
Journal:  BMC Genomics       Date:  2020-09-14       Impact factor: 3.969

10.  The tweety Gene Family: From Embryo to Disease.

Authors:  Rithvik R Nalamalapu; Michelle Yue; Aaron R Stone; Samantha Murphy; Margaret S Saha
Journal:  Front Mol Neurosci       Date:  2021-06-28       Impact factor: 5.639

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