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Ernst-Martin Füchtbauer
Researcher at Max Planck Society
Publications - 11
Citations - 1135
Ernst-Martin Füchtbauer is an academic researcher from Max Planck Society. The author has contributed to research in topics: Gene & Regulation of gene expression. The author has an hindex of 10, co-authored 11 publications receiving 1111 citations. Previous affiliations of Ernst-Martin Füchtbauer include Aarhus University.
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MyoD and myogenin are coexpressed in regenerating skeletal muscle of the mouse
TL;DR: Immunostaining of regenerating skeletal muscle of the mouse revealed the presence of both MyoD1 and myogenin, and in mononucleated cells the proteins were not detected until shortly before fusion into myotubes.
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M-twist is an inhibitor of muscle differentiation.
TL;DR: It is shown that the mouse twist gene can act as an inhibitor of muscle differentiation and that this inhibition is reversible.
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Expression of M-twist during postimplantation development of the mouse.
TL;DR: A detailed analysis of M‐twist expression patterns from day 7 post coitum (p.c.) to day 18 p.c. indicates a more general function of the Drosophila twist gene, suggesting additional tissue specific functions.
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Establishment of a gene-trap sequence tag library to generate mutant mice from embryonic stem cells.
Michael V. Wiles,Franz Vauti,Jürgen Otte,Ernst-Martin Füchtbauer,Ernst-Martin Füchtbauer,Patricia Dr. Ruiz,A. Füchtbauer,Hans-Hennig Arnold,Hans Lehrach,T. Metz,H. von Melchner,Wolfgang Wurst +11 more
TL;DR: The establishment of a gene-trap sequence tag library to generate mutant mice from embryonic stem cells and the first mutants to be generated from this library have been identified.
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A large-scale, gene-driven mutagenesis approach for the functional analysis of the mouse genome
Jens Hansen,Thomas Floss,Petra P. H. Van Sloun,Ernst-Martin Füchtbauer,Franz Vauti,Hans-Hennig Arnold,Frank Schnütgen,Wolfgang Wurst,Harald von Melchner,Patricia Ruiz +9 more
TL;DR: This work assembled a collection of mutations in mouse embryonic stem (ES) cells, which is the largest publicly accessible collection of such mutations to date, and concludes that the most effective way to saturate the mouse genome with gene- trap insertions is by using a combination of gene-trap vectors.