@article{HilsonAllemeerschAltmannetal.2004,
  author    = {Hilson, Pierre and Allemeersch, Joke and Altmann, Thomas and Aubourg, Sebastien and Avon, Alexandra and Beynon, Jim and Bhalerao, Rishikesh P. and Bitton, Frederique and Caboche, Michel and Cannoot, Bernard and Chardakov, Vasil and Cognet-Holliger, Cecile and Colot, Vincent and Crowe, Mark and Darimont, Caroline and Durinck, Steffen and Eickhoff, Holger and deLongevialle, Andeol Falcon and Farmer, Edward E. and Grant, Murray and Kuiper, Martin T. R. and Lehrach, Hans and Leon, Celine and Leyva, Antonio and Lundeberg, Joakim and Lurin, Claire and Moreau, Yves},
  title     = {Versatile gene-specific sequence tags for arabidopsis functional genomics : transcript profiling and reserve genetics applications},
  year      = {2004},
  abstract  = {Microarray transcript profiling and RNA interference are two new technologies crucial for large-scale gene function studies in multicellular eukaryotes. Both rely on sequence-specific hybridization between complementary nucleic acid strands, inciting us to create a collection of gene-specific sequence tags (GSTs) representing at least 21,500 Arabidopsis genes and which are compatible with both approaches. The GSTs were carefully selected to ensure that each of them shared no significant similarity with any other region in the Arabidopsis genome. They were synthesized by PCR amplification from genomic DNA. Spotted microarrays fabricated from the GSTs show good dynamic range, specificity, and sensitivity in transcript profiling experiments. The GSTs have also been transferred to bacterial plasmid vectors via recombinational cloning protocols. These cloned GSTs constitute the ideal starting point for a variety of functional approaches, including reverse genetics. We have subcloned GSTs on a large scale into vectors designed for gene silencing in plant cells. We show that in planta expression of GST hairpin RNA results in the expected phenotypes in silenced Arabidopsis lines. These versatile GST resources provide novel and powerful tools for functional genomics},
  language  = {en}
}
@article{NazirHrycykMoreauetal.2017,
  author    = {Nazir, Tatjana A. and Hrycyk, Lianna and Moreau, Quentin and Frak, Victor and Cheylus, Anne and Ott, Laurent and Lindemann, Oliver and Fischer, Martin H. and Paulignan, Yves and Delevoye-Turrell, Yvonne},
  title     = {A simple technique to study embodied language processes},
  series = {Behavior research methods : a journal of the Psychonomic Society},
  volume    = {49},
  journal   = {Behavior research methods : a journal of the Psychonomic Society},
  publisher = {Springer},
  address   = {New York},
  issn      = {1554-351X},
  doi       = {10.3758/s13428-015-0696-7},
  pages     = {61 -- 73},
  year      = {2017},
  abstract  = {Research in cognitive neuroscience has shown that brain structures serving perceptual, emotional, and motor processes are also recruited during the understanding of language when it refers to emotion, perception, and action. However, the exact linguistic and extralinguistic conditions under which such language-induced activity in modality-specific cortex is triggered are not yet well understood. The purpose of this study is to introduce a simple experimental technique that allows for the online measure of language-induced activity in motor structures of the brain. This technique consists in the use of a grip force sensor that captures subtle grip force variations while participants listen to words and sentences. Since grip force reflects activity in motor brain structures, the continuous monitoring of force fluctuations provides a fine-grained estimation of motor activity across time. In other terms, this method allows for both localization of the source of language-induced activity to motor brain structures and high temporal resolution of the recorded data. To facilitate comparison of the data to be collected with this tool, we present two experiments that describe in detail the technical setup, the nature of the recorded data, and the analyses (including justification about the data filtering and artifact rejection) that we applied. We also discuss how the tool could be used in other domains of behavioral research.},
  language  = {en}
}