Literature DB >> 23426257

Planform: an application and database of graph-encoded planarian regenerative experiments.

Daniel Lobo1, Taylor J Malone, Michael Levin.   

Abstract

SUMMARY: Understanding the mechanisms governing the regeneration capabilities of many organisms is a fundamental interest in biology and medicine. An ever-increasing number of manipulation and molecular experiments are attempting to discover a comprehensive model for regeneration, with the planarian flatworm being one of the most important model species. Despite much effort, no comprehensive, constructive, mechanistic models exist yet, and it is now clear that computational tools are needed to mine this huge dataset. However, until now, there is no database of regenerative experiments, and the current genotype-phenotype ontologies and databases are based on textual descriptions, which are not understandable by computers. To overcome these difficulties, we present here Planform (Planarian formalization), a manually curated database and software tool for planarian regenerative experiments, based on a mathematical graph formalism. The database contains more than a thousand experiments from the main publications in the planarian literature. The software tool provides the user with a graphical interface to easily interact with and mine the database. The presented system is a valuable resource for the regeneration community and, more importantly, will pave the way for the application of novel artificial intelligence tools to extract knowledge from this dataset. AVAILABILITY: The database and software tool are freely available at http://planform.daniel-lobo.com.

Mesh:

Year:  2013        PMID: 23426257      PMCID: PMC3624808          DOI: 10.1093/bioinformatics/btt088

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

Review 1.  Fundamentals of planarian regeneration.

Authors:  Peter W Reddien; Alejandro Sánchez Alvarado
Journal:  Annu Rev Cell Dev Biol       Date:  2004       Impact factor: 13.827

Review 2.  The mammalian phenotype ontology: enabling robust annotation and comparative analysis.

Authors:  Cynthia L Smith; Janan T Eppig
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

3.  PhenomicDB: a new cross-species genotype/phenotype resource.

Authors:  Philip Groth; Nadia Pavlova; Ivan Kalev; Spas Tonov; Georgi Georgiev; Hans-Dieter Pohlenz; Bertram Weiss
Journal:  Nucleic Acids Res       Date:  2006-09-18       Impact factor: 16.971

4.  Towards a bioinformatics of patterning: a computational approach to understanding regulative morphogenesis.

Authors:  Daniel Lobo; Taylor J Malone; Michael Levin
Journal:  Biol Open       Date:  2012-11-26       Impact factor: 2.422

Review 5.  Modeling planarian regeneration: a primer for reverse-engineering the worm.

Authors:  Daniel Lobo; Wendy S Beane; Michael Levin
Journal:  PLoS Comput Biol       Date:  2012-04-26       Impact factor: 4.475

  5 in total
  15 in total

1.  Limbform: a functional ontology-based database of limb regeneration experiments.

Authors:  Daniel Lobo; Erica B Feldman; Michelle Shah; Taylor J Malone; Michael Levin
Journal:  Bioinformatics       Date:  2014-08-27       Impact factor: 6.937

Review 2.  A linear-encoding model explains the variability of the target morphology in regeneration.

Authors:  Daniel Lobo; Mauricio Solano; George A Bubenik; Michael Levin
Journal:  J R Soc Interface       Date:  2014-01-08       Impact factor: 4.118

3.  Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

Authors:  Jason M Ko; Daniel Lobo
Journal:  Biophys J       Date:  2019-10-31       Impact factor: 4.033

4.  Computational Systems Biology of Morphogenesis.

Authors:  Jason M Ko; Reza Mousavi; Daniel Lobo
Journal:  Methods Mol Biol       Date:  2022

5.  Formalizing Phenotypes of Regeneration.

Authors:  Daniel Lobo
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Reprogramming cells and tissue patterning via bioelectrical pathways: molecular mechanisms and biomedical opportunities.

Authors:  Michael Levin
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-07-29

Review 7.  Planarian regeneration as a model of anatomical homeostasis: Recent progress in biophysical and computational approaches.

Authors:  Michael Levin; Alexis M Pietak; Johanna Bischof
Journal:  Semin Cell Dev Biol       Date:  2018-05-01       Impact factor: 7.727

8.  A bioinformatics expert system linking functional data to anatomical outcomes in limb regeneration.

Authors:  Daniel Lobo; Erica B Feldman; Michelle Shah; Taylor J Malone; Michael Levin
Journal:  Regeneration (Oxf)       Date:  2014-04

9.  Inferring regulatory networks from experimental morphological phenotypes: a computational method reverse-engineers planarian regeneration.

Authors:  Daniel Lobo; Michael Levin
Journal:  PLoS Comput Biol       Date:  2015-06-04       Impact factor: 4.475

10.  Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search.

Authors:  Marianna Budnikova; Jeffrey W Habig; Daniel Lobo; Nicolas Cornia; Michael Levin; Tim Andersen
Journal:  BMC Bioinformatics       Date:  2014-06-10       Impact factor: 3.169

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