J
Jörg Hagmann
Researcher at Max Planck Society
Publications - 36
Citations - 2282
Jörg Hagmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: DNA methylation & Genome. The author has an hindex of 18, co-authored 33 publications receiving 1962 citations.
Papers
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Journal ArticleDOI
Phosphorylation of vinculin in human platelets spreading on a solid surface.
Jörg Hagmann,Max M. Burger +1 more
TL;DR: It is shown that when human platelets attach and spread on a solid surface, the α isoforms of vinculin become phosphorylated at serine and/or threonine residues, suggesting that phosphorylation plays a role in anchoring vinc insulin at sites of microfilament‐membrane interaction.
Peer ReviewDOI
Author response: Long-term balancing selection drives evolution of immunity genes in Capsella
Daniel Koenig,Jörg Hagmann,Rachel Li,Felix Bemm,Tanja Slotte,Barbara Neuffer,Stephen I. Wright,Detlef Weigel +7 more
Journal ArticleDOI
Directional control of neurite outgrowth from cultured hippocampal neurons is modulated by the lectin concanavalin A.
TL;DR: Analysis of neurite outgrowth using video-enhanced microscopy reveals that the counterclockwise turning is accompanied by directionally biased extension of filopodia from the growth cones of growing neurites, suggesting that actin microfilaments are involved in directional control of neurites outgrowth.
Journal ArticleDOI
Arabidopsis BTB/POZ protein-dependent PENETRATION3 trafficking and disease susceptibility
Hailiang Mao,Bibek Aryal,Tobias Langenecker,Jörg Hagmann,Markus Geisler,Markus Grebe,Markus Grebe +6 more
TL;DR: It is shown that the Arabidopsis ENDOPLASMIC RETICULUM-ARRESTED PEN3 (EAP3) BTB/POZ-domain protein specifically mediates PEN2 exit from the endoplasmic reticulum and confers resistance to a root-penetrating fungus, providing prime evidence for BTB /POZ protein-dependent membrane trafficking underlying disease resistance.
Posted ContentDOI
Building pangenome graphs
Erik Garrison,Andrea Guarracino,Simon Heumos,Flavia Villani,Zhigui Bao,Lorenzo Tattini,Jörg Hagmann,Santiago Marco-Sola,David G. Ashbrook,Kaisa Thorell,Rachel Rusholme-Pilcher,Gianni Liti,Sven Nahnsen,Franklin L. Nobrega,Yi Wu,Hao Chen,Joep de Ligt,Peter H. Sudmant,Nicole Soranzo,Vincenza Colonna,Robert W. Williams,Pjotr Prins +21 more
TL;DR: PanGenome Graph Builder (PGGB) as discussed by the authors uses all-to-all whole-genome alignments and learned graph embeddings to build and iteratively refine a model in which they can identify variation, measure conservation, detect recombination events, and infer phylogenetic relationships.