Expression profiling the developing mammalian enteric nervous system identifies marker and candidate Hirschsprung disease genes.

Proc Natl Acad Sci U S A

Division of Molecular Neurobiology, National Institute for Medical Research, Medical Research Council, The Ridgeway, Mill Hill, London NW7 1AA, United Kingdom.

Published: May 2006

The enteric nervous system (ENS) is composed of neurons and glial cells, organized as interconnected ganglia within the gut wall, which controls peristalsis of the gut wall and secretions from its glands. The Ret receptor tyrosine kinase is expressed throughout enteric neurogenesis and is required for normal ENS development; humans with mutations in the RET locus have Hirschsprung disease (HSCR, an absence of ganglia in the colon), and mice lacking Ret have total intestinal aganglionosis. The Ret mutant mouse provides a tool for identifying genes implicated in development of the ENS. By using RNA from WT and Ret mutant (aganglionic) gut tissue and DNA microarrays, we have conducted a differential screen for ENS-expressed genes and have identified hundreds of candidate ENS-expressed genes. Forty-seven genes were selected for further analysis, representing diverse functional classes. We show that all of the analyzed genes are expressed in the ENS and that the screen was sensitive enough to identify genes marking only subpopulations of ENS cells. Our screen, therefore, was reliable and sensitive and has identified many previously undescribed genes for studying ENS development. Moreover, two of the genes identified in our screen Arhgef3 and Ctnnal1, have human homologues that map to previously identified HSCR susceptibility loci, thus representing excellent candidates for HSCR genes. This comprehensive profile of ENS gene expression refines our understanding of ENS development and serves as a resource for future developmental, biochemical, and human genetic studies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1458994PMC
http://dx.doi.org/10.1073/pnas.0602152103DOI Listing

Publication Analysis

Top Keywords

ens development
12
genes
10
enteric nervous
8
nervous system
8
hirschsprung disease
8
ens
8
gut wall
8
ret mutant
8
ens-expressed genes
8
genes identified
8

Similar Publications

Phage-mediated intercellular CRISPRi for biocomputation in bacterial consortia.

Nucleic Acids Res

December 2024

Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.

Coordinated actions of cells in microbial communities and multicellular organisms enable them to perform complex tasks otherwise difficult for single cells. This has inspired biological engineers to build cellular consortia for larger circuits with improved functionalities while implementing communication systems for coordination among cells. Here, we investigate the signalling dynamics of a phage-mediated synthetic DNA messaging system and couple it with CRISPR interference to build distributed circuits that perform logic gate operations in multicellular bacterial consortia.

View Article and Find Full Text PDF

Data-driven material modeling based on the Constitutive Relation Error.

Adv Model Simul Eng Sci

December 2024

CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS-Laboratoire de Mécanique Paris-Saclay, Université Paris-Saclay, 4 Avenue des Sciences, 91190 Gif-sur-Yvette, France.

Prior to any numerical development, the paper objective is to answer first to a fundamental question: what is the mathematical form of the most general data-driven constitutive model for stable materials, taking maximum account of knowledge from physics and materials science? Here we restrict ourselves to elasto-(visco-)plastic materials under the small displacement assumption. The experimental data consists of full-field measurements from a family of tested mechanical structures. In this framework, a general data-driven approach is proposed to learn the constitutive model (in terms of thermodynamic potentials) from data.

View Article and Find Full Text PDF

Diatom phytochromes integrate the underwater light spectrum to sense depth.

Nature

December 2024

CNRS, Sorbonne Université, Institut de Biologie Physico-Chimique, Laboratoire de Biologie du Chloroplaste et Perception de la Lumière chez les Microalgues, UMR7141, Paris, France.

Aquatic life is strongly structured by the distribution of light, which, besides attenuation in intensity, exhibits a continuous change in the spectrum with depth. The extent to which these light changes are perceived by phytoplankton through photoreceptors is still inadequately known. We addressed this issue by integrating functional studies of diatom phytochrome (DPH) photoreceptors in model species with environmental surveys of their distribution and activity.

View Article and Find Full Text PDF

Paleo-evo-devo implications of a revised conceptualization of enameloids and enamels.

Biol Rev Camb Philos Soc

December 2024

UMR 7207 Centre de recherche en paléontologie - Paris (CR2P), Sorbonne Université, Muséum national d'Histoire naturelle, CNRS, 43 rue Buffon, Paris, 75005, France.

Understanding the origin and evolution of the mineralized skeleton is crucial for unravelling vertebrate history. However, several limitations hamper our progress. The first obstacle is the lack of uniformity and clarity in the literature for the definition of the tissues of concern, especially of enameloid(s) and enamel(s), resulting in ambiguous terminology and inconsistencies among studies.

View Article and Find Full Text PDF

Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023.

Natl Sci Rev

December 2024

Laboratoire des Sciences du Climat et de l'Environnement, University Paris Saclay CEA CNRS, Gif sur Yvette 91191, France.

In 2023, the CO growth rate was 3.37 ± 0.11 ppm at Mauna Loa, which was 86% above that of the previous year and hit a record high since observations began in 1958, while global fossil fuel CO emissions only increased by 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!