Core Facilites and Core Services

At the beginning of 2016, a “core” structure was put into effect that organized facility and service units as independent organizational entities from FLI’s research groups. A number of technology platforms (e.g. sequencing, mass spectrometry) grew out of individual methodological requirements for single research groups in the last years but developed into semiautonomous substructures. As consequence of re-focused research activities and the concomitant advent of new research groups at FLI, those units increasingly had to serve many FLI groups and collaborative research efforts in the Jena research area.

To accommodate this development and to increase efficiency as well as transparency for users, facility personnel and for administrative processes, it came natural to re-organize such activities into independent units as “FLI Core Facilities and Services” and to phase out infrastructures considered non-essential for FLI’s research focus (X-ray crystallography and NMR spectroscopy).

FLI’s Core Facilities (CF) are managed by a CF Manager and are each scientifically guided in their activities and development by an FLI Group Leader, as Scientific Supervisor. The animal facilities comprising fish, mouse and transgenesis are run separately, as they involve a more complex organizational structure. Basic Core Services (CS) are directly led by the Head of Core (HC), who in turn is supported by individual CS Managers.

All facilities and services, including animal facilities, have a valuable contribution to FLI’s research articles; e.g. from 2016–2018, to 54% of all peer reviewed research publications. 

Overview Core Facilities and Core Services at FLI.

Publications

(since 2016)

2017

  • Characterization of the interaction between the small RNA-encoded peptide SR1P and GapA from Bacillus subtilis.
    Gimpel M, Maiwald C, Wiedemann C, Görlach M, Brantl S
    Microbiology 2017, 163(8), 1248-59 Editors' Choice
  • Trifunctional lipid probes for comprehensive studies of single lipid species in living cells.
    Höglinger D, Nadler A, Haberkant P, Kirkpatrick J, Schifferer M, Stein F, Hauke S, Porter FD, Schultz C
    Proc Natl Acad Sci U S A 2017, 114(7), 1566-71
  • Stepwise characterization of non-synonymous mutations in the HSV-1 thymidine kinase gene by different functional assays.
    Kaspar M, Bohn-Wippert K, Bellstedt P, Häfner S, Görlach M, Sauerbrei A
    J Virol Methods 2017, 247, 51-7
  • Genome Sequence of a Novel Picorna-Like RNA Virus from Feces of the Antarctic Fur Seal (Arctocephalus gazella).
    Krumbholz A, Groth M, Esefeld J, Peter HU, Zell R
    Genome Announc 2017, 5(36)
  • The anti-tumorigenic activity of A2M-A lesson from the naked mole-rat.
    Kurz S, Thieme R, Amberg R, Groth M, Jahnke HG, Pieroh P, Horn LC, Kolb M, Huse K, Platzer M, Volke D, Dehghani F, Buzdin A, Engel K, Robitzki A, Hoffmann R, Gockel I, Birkenmeier G
    PLoS One 2017, 12(12), e0189514
  • Spindle Misorientation of Cerebral and Cerebellar Progenitors Is a Mechanistic Cause of Megalencephaly.
    Li H, Kroll T, Moll J, Frappart L, Herrlich P, Heuer H, Ploubidou A
    Stem Cell Reports 2017, 9(4), 1071-80
  • The Wilms tumor protein Wt1 contributes to female fertility by regulating oviductal proteostasis.
    Nathan A, Reinhardt P, Kruspe D, Jörß T, Groth M, Nolte H, Habenicht A, Herrmann J, Holschbach V, Toth B, Krüger M, Wang ZQ, Platzer M, Englert C
    Hum Mol Genet 2017, 26(9), 1694-705
  • The DNA Methyltransferase 1 (DNMT1) Controls the Shape and Dynamics of Migrating POA-Derived Interneurons Fated for the Murine Cerebral Cortex.
    Pensold D, Symmank J, Hahn A, Lingner T, Salinas-Riester G, Downie BR, Ludewig F, Rotzsch A, Haag N, Andreas N, Schubert K, Hübner CA, Pieler T, Zimmer G
    Cereb Cortex 2017, 27, 5696-714
  • MicroRNA miR-29 controls a compensatory response to limit neuronal iron accumulation during adult life and aging.
    Ripa R, Dolfi L, Terrigno M, Pandolfini L, Savino A, Arcucci V, Groth M, Terzibasi Tozzini E, Baumgart M, Cellerino A
    BMC Biol 2017, 15(1), 9
  • PosiGene: automated and easy-to-use pipeline for genome-wide detection of positively selected genes.
    Sahm A, Bens M, Platzer M, Szafranski K
    Nucleic Acids Res 2017, 45(11), e100