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Toddler: an embryonic signal that promotes cell movement via Apelin receptors (2014)

A. Pauli ; M. L. Norris ; E. Valen ; [et al.]

American Association for the Advancement of Science (AAAS)

In: Science. 343(6172): 1248636. doi: 10.1126/science.1248636.

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Publication Date: 2014-01-11

Description: It has been assumed that most, if not all, signals regulating early development have been identified. Contrary to this expectation, we identified 28 candidate signaling proteins expressed during zebrafish embryogenesis, including Toddler, a short, conserved, and secreted peptide. Both absence and overproduction of Toddler reduce the movement of mesendodermal cells during zebrafish gastrulation. Local and ubiquitous production of Toddler promote cell movement, suggesting that Toddler is neither an attractant nor a repellent but acts globally as a motogen. Toddler drives internalization of G protein-coupled APJ/Apelin receptors, and activation of APJ/Apelin signaling rescues toddler mutants. These results indicate that Toddler is an activator of APJ/Apelin receptor signaling, promotes gastrulation movements, and might be the first in a series of uncharacterized developmental signals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107353/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107353/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pauli, Andrea -- Norris, Megan L -- Valen, Eivind -- Chew, Guo-Liang -- Gagnon, James A -- Zimmerman, Steven -- Mitchell, Andrew -- Ma, Jiao -- Dubrulle, Julien -- Reyon, Deepak -- Tsai, Shengdar Q -- Joung, J Keith -- Saghatelian, Alan -- Schier, Alexander F -- K99 HD076935/HD/NICHD NIH HHS/ -- R01 GM056211/GM/NIGMS NIH HHS/ -- R01 GM102491/GM/NIGMS NIH HHS/ -- R01 HG005111/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Feb 14;343(6172):1248636. doi: 10.1126/science.1248636. Epub 2014 Jan 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24407481" target="_blank"〉PubMed〈/a〉

Keywords: Amino Acid Sequence ; Animals ; *Cell Movement ; Chemokine CXCL12/metabolism ; Frameshift Mutation ; Gastrulation/genetics/*physiology ; Molecular Sequence Data ; Receptors, G-Protein-Coupled/genetics/*metabolism ; Signal Transduction ; Zebrafish/*embryology/genetics/metabolism ; Zebrafish Proteins/genetics/*metabolism

Print ISSN: 0036-8075

Electronic ISSN: 1095-9203

Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics

Published by American Association for the Advancement of Science (AAAS)

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CHOPCHOP v2: a web tool for the next generation of CRISPR genome engineering (2016)

Labun, K., Montague, T. G., Gagnon, J. A., Thyme, S. B., Valen, E.

Oxford University Press

In: Nucleic Acids Research

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Publication Date: 2016-07-06

Description: In just 3 years CRISPR genome editing has transformed biology, and its popularity and potency continue to grow. New CRISPR effectors and rules for locating optimum targets continue to be reported, highlighting the need for computational CRISPR targeting tools to compile these rules and facilitate target selection and design. CHOPCHOP is one of the most widely used web tools for CRISPR- and TALEN-based genome editing. Its overarching principle is to provide an intuitive and powerful tool that can serve both novice and experienced users. In this major update we introduce tools for the next generation of CRISPR advances, including Cpf1 and Cas9 nickases. We support a number of new features that improve the targeting power, usability and efficiency of CHOPCHOP. To increase targeting range and specificity we provide support for custom length sgRNAs, and we evaluate the sequence composition of the whole sgRNA and its surrounding region using models compiled from multiple large-scale studies. These and other new features, coupled with an updated interface for increased usability and support for a continually growing list of organisms, maintain CHOPCHOP as one of the leading tools for CRISPR genome editing. CHOPCHOP v2 can be found at http://chopchop.cbu.uib.no

Print ISSN: 0305-1048

Electronic ISSN: 1362-4962

Topics: Biology

Published by Oxford University Press

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Cu and Fe diffusion in rhyolitic melts during chalcocite "dissolution": Implications for porphyry ore deposits and tektites (2017)

Ni, P., Zhang, Y., Simon, A., Gagnon, J.

Mineralogical Society of America

In: American Mineralogist

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Publication Date: 2017-06-02

Description: Copper diffusion plays an important role in natural processes, such as metal transport during the formation of magmatic-hydrothermal porphyry-type ore deposits and Cu isotope fractionation during tektite formation. Copper diffusion data in natural silicate melts, however, are limited. In this study, chalcocite (Cu 2 S) "dissolution" experiments were carried out using chalcocite-rhyolite diffusion "couples" to study Cu (and S) diffusion in rhyolitic melts. Instead of chalcocite dissolution as initially expected, our experiments show that Cu is transferred from the chalcocite crystal to the rhyolitic melt, and Fe is transferred from the rhyolitic melt to chalcocite, whereas the S concentration profile in the rhyolitic melt is essentially flat. From the Cu and Fe exchange profiles in the rhyolitic melts, Cu diffusivities and Fe diffusivities are obtained and reported. Copper diffusivity in rhyolitic melts containing 0.10 to 5.95 wt% H 2 O at temperatures of 750 to 1391 °C and pressures of 0.5 to 1.0 GPa can be described as: \[ {D}_{\hbox{ Cu }}^{\hbox{ Rhy }}=\hbox{ exp }\left[-(14.75\pm 0.35)-(0.23\pm 0.10)w-\frac{(11647\pm 491)-(698\pm 117)w}{T}\right], \] which allows the estimation of an activation energy for diffusion in dry rhyolitic melts to be 96.8 ± 4.1 kJ/mol. In the above equation, diffusivity ( D ) is in m 2 /s, T is the temperature in K, w is the H 2 O concentration in the rhyolitic melts in wt% and all errors reported are at 1 level. Combining Cu diffusion data from this study and previous data in basaltic melt gives a general equation for Cu diffusivity in natural silicate melts: \[ {D}_{\hbox{ cu }}=\hbox{ exp }\left[-(17.3\pm 0.9)+(3.8\pm 1.5)(\hbox{ Si }+\hbox{ Al-H })-\frac{(4403\pm 1094)+(9700\pm 1921)(\hbox{ Si }+\hbox{ Al-H })}{T}\right], \] where Si+Al-H is the cation mole fraction of Si plus Al minus H in the silicate melt on a wet basis. Iron diffusivities obtained in this study, in anhydrous to 6 wt% H 2 O rhyolite, are combined with previous data to get a general equation for Fe diffusion in rhyolitic melts: \[ {D}_{\hbox{ Fe }}^{\hbox{ Rhy }}=\hbox{ exp }\left[-(16.1\pm 1.7)-\frac{(19859\pm 2541)-(1218\pm 135)w}{T}\right]. \] Our data demonstrate that Cu diffusion is faster than H 2 O or Cl in rhyolitic melts containing 6 wt% water, which indicates that the scavenging and transport of Cu by a magmatic volatile phase during formation of porphyry-type ore deposits is not limited by diffusion of Cu. Based on our experimental data, Cu diffusivity is almost four orders of magnitude higher than Zn in anhydrous rhyolitic melts, which supports the explanation of more diffusive loss of Cu leading to more fractionated Cu isotopes than Zn isotopes in tektites.

Print ISSN: 0003-004X

Electronic ISSN: 1945-3027

Topics: Geosciences

Published by Mineralogical Society of America

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