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      Genome‐wide analysis reveals conserved transcriptional responses downstream of resting potential change in Xenopus embryos, axolotl regeneration, and human mesenchymal cell differentiation

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          Abstract

          Endogenous bioelectric signaling via changes in cellular resting potential ( V mem) is a key regulator of patterning during regeneration and embryogenesis in numerous model systems. Depolarization of V mem has been functionally implicated in dedifferentiation, tumorigenesis, anatomical re‐specification, and appendage regeneration. However, no unbiased analyses have been performed to understand genome‐wide transcriptional responses to V mem change in vivo. Moreover, it is unknown which genes or gene networks represent conserved targets of bioelectrical signaling across different patterning contexts and species. Here, we use microarray analysis to comparatively analyze transcriptional responses to V mem depolarization. We compare the response of the transcriptome during embryogenesis ( Xenopus development), regeneration (axolotl regeneration), and stem cell differentiation (human mesenchymal stem cells in culture) to identify common networks across model species that are associated with depolarization. Both subnetwork enrichment and PANTHER analyses identified a number of key genetic modules as targets of V mem change, and also revealed important (well‐conserved) commonalities in bioelectric signal transduction, despite highly diverse experimental contexts and species. Depolarization regulates specific transcriptional networks across all three germ layers (ectoderm, mesoderm, and endoderm) such as cell differentiation and apoptosis, and this information will be used for developing mechanistic models of bioelectric regulation of patterning. Moreover, our analysis reveals that V mem change regulates transcripts related to important disease pathways such as cancer and neurodegeneration, which may represent novel targets for emerging electroceutical therapies.

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          Most cited references115

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          Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-gamma and PTEN.

          Wound healing is essential for maintaining the integrity of multicellular organisms. In every species studied, disruption of an epithelial layer instantaneously generates endogenous electric fields, which have been proposed to be important in wound healing. The identity of signalling pathways that guide both cell migration to electric cues and electric-field-induced wound healing have not been elucidated at a genetic level. Here we show that electric fields, of a strength equal to those detected endogenously, direct cell migration during wound healing as a prime directional cue. Manipulation of endogenous wound electric fields affects wound healing in vivo. Electric stimulation triggers activation of Src and inositol-phospholipid signalling, which polarizes in the direction of cell migration. Notably, genetic disruption of phosphatidylinositol-3-OH kinase-gamma (PI(3)Kgamma) decreases electric-field-induced signalling and abolishes directed movements of healing epithelium in response to electric signals. Deletion of the tumour suppressor phosphatase and tensin homolog (PTEN) enhances signalling and electrotactic responses. These data identify genes essential for electrical-signal-induced wound healing and show that PI(3)Kgamma and PTEN control electrotaxis.
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            Applications for protein sequence–function evolution data: mRNA/protein expression analysis and coding SNP scoring tools

            The vast amount of protein sequence data now available, together with accumulating experimental knowledge of protein function, enables modeling of protein sequence and function evolution. The PANTHER database was designed to model evolutionary sequence–function relationships on a large scale. There are a number of applications for these data, and we have implemented web services that address three of them. The first is a protein classification service. Proteins can be classified, using only their amino acid sequences, to evolutionary groups at both the family and subfamily levels. Specific subfamilies, and often families, are further classified when possible according to their functions, including molecular function and the biological processes and pathways they participate in. The second application, then, is an expression data analysis service, where functional classification information can help find biological patterns in the data obtained from genome-wide experiments. The third application is a coding single-nucleotide polymorphism scoring service. In this case, information about evolutionarily related proteins is used to assess the likelihood of a deleterious effect on protein function arising from a single substitution at a specific amino acid position in the protein. All three web services are available at .
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              Role of ion channels and transporters in cell migration.

              Cell motility is central to tissue homeostasis in health and disease, and there is hardly any cell in the body that is not motile at a given point in its life cycle. Important physiological processes intimately related to the ability of the respective cells to migrate include embryogenesis, immune defense, angiogenesis, and wound healing. On the other side, migration is associated with life-threatening pathologies such as tumor metastases and atherosclerosis. Research from the last ≈ 15 years revealed that ion channels and transporters are indispensable components of the cellular migration apparatus. After presenting general principles by which transport proteins affect cell migration, we will discuss systematically the role of channels and transporters involved in cell migration.
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                Author and article information

                Journal
                Regeneration (Oxf)
                Regeneration (Oxf)
                10.1002/(ISSN)2052-4412
                REG2
                Regeneration
                John Wiley and Sons Inc. (Hoboken )
                2052-4412
                26 November 2015
                February 2016
                : 3
                : 1 ( doiID: 10.1002/reg2.2015.3.issue-1 )
                : 3-25
                Affiliations
                [ 1 ] Biology Department and Center for Regenerative and Developmental BiologyTufts University Medford Massachusetts 02155USA
                [ 2 ] Center for Environmental and Human Toxicology and Department of Physiological SciencesUF Genetics Institute, University of Florida Gainesville Florida 32611USA
                [ 3 ] Department of Genetics, Cell Biology and DevelopmentUniversity of Minnesota Minneapolis Minnesota 55455USA
                [ 4 ] Department of Biomedical EngineeringTufts University Medford Massachusetts 02155USA
                Author notes
                [*] [* ] Correspondence

                Michael Levin, Biology Department, Center for Regenerative and Developmental Biology, Tufts University, 200 Boston Ave, Suite 4600, Medford, MA 02155, USA. Tel.: +1 617 627 6161; Fax: 617‐627‐6121; E‐mail: Michael.levin@ 123456tufts.edu

                Article
                REG248
                10.1002/reg2.48
                4857752
                27499876
                10d74346-26f2-4fe5-8a16-24da7353e718
                © 2015 The Authors. Regeneration published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 January 2015
                : 20 August 2015
                : 25 August 2015
                Page count
                Pages: 23
                Funding
                Funded by: NSF
                Award ID: CBET‐0939511
                Funded by: Mathers Charitable Foundation
                Funded by: AHA
                Award ID: 14IRG18570000
                Funded by: NIH
                Award ID: RO1 AR005593; R01 AR061988
                Funded by: W. M. Keck Foundation
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                REG248
                February 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.8.8 mode:remove_FC converted:27.04.2016

                axolotl,depolarization,differentiation,embryogenesis,ion channel,mesenchymal stem cells,microarray,transcriptome,vmem,xenopus

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