Laura Noailles
University of Birmingham
4 Papers
Laura Noailles is an academic researcher from University of Birmingham. The author has contributed to research in topics: Transcription factor & Haematopoiesis. The author has an hindex of 3, co-authored 3 publications. Previous affiliations of Laura Noailles include University of Leeds.
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Papers
RUNX1 reshapes the epigenetic landscape at the onset of haematopoiesis
Monika Lichtinger,Richard Ingram,Rebecca Hannah,Dorothee Müller,Deborah Clarke,Salam A. Assi,Michael Lie-A-Ling,Laura Noailles,M. S. Vijayabaskar,Mengchu Wu,Daniel G. Tenen,Daniel G. Tenen,David R. Westhead,Valerie Kouskoff,Georges Lacaud,Berthold Göttgens,Constanze Bonifer +16 more
TL;DR: The acquisition of haematopoietic fate controlled by Runx1 does not represent the establishment of a new regulatory layer on top of a pre‐existing HE program but instead entails global reorganization of lineage‐specific transcription factor assemblies.
The Co-operation of RUNX1 with LDB1, CDK9 and BRD4 Drives Transcription Factor Complex Relocation During Haematopoietic Specification
Jane Gilmour,Salam A. Assi,Laura Noailles,Monika Lichtinger,Nadine Obier,Nadine Obier,Constanze Bonifer +6 more
TL;DR: In this article, the authors used an inducible version of RUNX1 in a mouse embryonic stem cell differentiation model and showed that the expression of a single transcription factor can drive rapid and replication independent transitions in cellular shape which are widely observed in development and disease.
Cooperative binding of AP-1 and TEAD4 modulates the balance between vascular smooth muscle and hemogenic cell fate.
Nadine Obier,Pierre Cauchy,Salam A. Assi,Jane Gilmour,Michael Lie-A-Ling,Monika Lichtinger,Maarten Hoogenkamp,Laura Noailles,Peter N. Cockerill,Georges Lacaud,Valerie Kouskoff,Constanze Bonifer +11 more
TL;DR: It is demonstrated that AP-1- and TEAD4-associated cis-regulatory elements form hubs for multiple signalling-responsive transcription factors and define the cistrome that regulates vascular and hematopoietic development by extrinsic signals.
A stratification strategy to predict secondary infection in critical illness-induced immune dysfunction: the REALIST score
Jan-Alexis Tremblay,Florian Peron,Louis Kreitmann,Anne-Claire Lukaszewicz,Thomas Rimmelé,Guillaume Monneret,Sophie Arnal,Caroline Augris-Mathieu,Frédérique Bayle,L. Caruso,Charles-Eric Ber,Asma Ben-amor,Anne-Sophie Bellocq,Farida Benatir,Anne Bertin-Maghit,Marc Bertin-Maghit,André Boibieux,Yves Bouffard,Jean Christophe Cejka,Valérie Cerro,Jullien Crozon-Clauzel,Julien Davidson,S. Debord-Peguet,Benjamin Delwarde,Robert Deleat-Besson,Claire Delsuc,Bertrand Devigne,Laure Fayolle-Pivot,Alexandre Faure,Bernard Floccard,Julie Gatel,C. Genin,Thibaut Girardot,Arnaud Grégoire,Baptiste Hengy,Laetitia Huriaux,Catherine Jadaud,Alain Lepape,Véronique Leray,Guillaume Marcotte,Olivier C. Martin,Marie Matray,Delphine Maucort-Boulch,Pascal Meuret,Céline Monard,Florent Moriceau,Nathalie Panel,N. Rahali,Cyrille Truc,Thomas Uberti,H. Vallin,Fabienne Venet,S. Tissot,A. Zadam,Sophie Blein,Karen Brengel-Pesce,Elisabeth Cerrato,Valérie Cheynet,Emmanuelle Gallet-Gorius,Audrey Guichard,Camille Jourdan,Natacha Koenig,François Mallet,Boris Meunier,Virginie Moucadel,Marine Mommert,Guy Oriol,Alexandre Pachot,Estelle Peronnet,C. de Schrevel,Olivier Tabone,Julien Textoris,Javier Yugueros-Marcos,Jeremie Becker,F. Béquet,Yacine Bounab,Florian Brajon,B. Canard,M. Collus,Nathalie Garçon,Irène Gorse,Cyril Guyard,Fabien Lavocat,Philippe Leissner,Karen Louis,Maxime Mistretta,J. Moriniere,Yoann Mouscaz,Laura Noailles,Magali Perret,Frédéric Reynier,Cindy Riffaud,Mary-Luz Rol,Nicolas Sapay,Trang Tran,Christophe Védrine,Christophe Carre,Pierre Cortez,Aymeric De Monfort,Karine Florin,Laurent Fraisse,I. Fugier,Sandrine Payrard,Annick Péléraux,Andrew D. Griffiths,Stephanie Toetsch,T Ashton,Peter J. Gough,Scott B. Berger,David Gardiner,Iain A. Gillespie,Aidan MacNamara,Aparna Raychaudhuri,Rob Smylie,Lionel Tan,Craig Tipple +115 more
TL;DR: The REALIST score as discussed by the authors was developed as a pragmatic approach to help clinicians better identify and stratify patients at high risk for secondary infection, using a simple set of relatively available and technically robust biomarkers.