4.6 Article

Spatial and Temporal Analysis of Gene Expression during Growth and Fusion of the Mouse Facial Prominences

期刊

PLOS ONE
卷 4, 期 12, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0008066

关键词

-

资金

  1. National Institutes of Health [DE15191 (R.A.S.), LM008111 (L.E.H.), GM083649 (L.E.H.), DE12728 (T.W.)]
  2. An institutional training [T15LM009451]

向作者/读者索取更多资源

Orofacial malformations resulting from genetic and/or environmental causes are frequent human birth defects yet their etiology is often unclear because of insufficient information concerning the molecular, cellular and morphogenetic processes responsible for normal facial development. We have, therefore, derived a comprehensive expression dataset for mouse orofacial development, interrogating three distinct regions - the mandibular, maxillary and frontonasal prominences. To capture the dynamic changes in the transcriptome during face formation, we sampled five time points between E10.5-E12.5, spanning the developmental period from establishment of the prominences to their fusion to form the mature facial platform. Seven independent biological replicates were used for each sample ensuring robustness and quality of the dataset. Here, we provide a general overview of the dataset, characterizing aspects of gene expression changes at both the spatial and temporal level. Considerable coordinate regulation occurs across the three prominences during this period of facial growth and morphogenesis, with a switch from expression of genes involved in cell proliferation to those associated with differentiation. An accompanying shift in the expression of polycomb and trithorax genes presumably maintains appropriate patterns of gene expression in precursor or differentiated cells, respectively. Superimposed on the many coordinated changes are prominence-specific differences in the expression of genes encoding transcription factors, extracellular matrix components, and signaling molecules. Thus, the elaboration of each prominence will be driven by particular combinations of transcription factors coupled with specific cell: cell and cell: matrix interactions. The dataset also reveals several prominence-specific genes not previously associated with orofacial development, a subset of which we externally validate. Several of these latter genes are components of bidirectional transcription units that likely share cis-acting sequences with well-characterized genes. Overall, our studies provide a valuable resource for probing orofacial development and a robust dataset for bioinformatic analysis of spatial and temporal gene expression changes during embryogenesis.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemical Research Methods

Visual analysis of biological data-knowledge networks

Corinna Vehlow, David P. Kao, Michael R. Bristow, Lawrence E. Hunter, Daniel Weiskopf, Carsten Goerg

BMC BIOINFORMATICS (2015)

Article Biochemical Research Methods

KaBOB: ontology-based semantic integration of biomedical databases

Kevin M. Livingston, Michael Bada, William A. Baumgartner, Lawrence E. Hunter

BMC BIOINFORMATICS (2015)

Article Medicine, Research & Experimental

Aging promotes acquisition of naive-like CD8+ memory T cell traits and enhanced functionalities

Jens Eberlein, Bennett Davenport, Tom Nguyen, Francisco Victorino, Kelsey Haist, Kevin Jhun, Anis Karimpour-Fard, Lawrence Hunter, Ross Kedl, Eric T. Clambey, Dirk Homann

JOURNAL OF CLINICAL INVESTIGATION (2016)

Article Mathematical & Computational Biology

Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition

Christopher S. Funk, K. Bretonnel Cohen, Lawrence E. Hunter, Karin M. Verspoor

JOURNAL OF BIOMEDICAL SEMANTICS (2016)

Article Biochemical Research Methods

Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters

Christopher Funk, William Baumgartner, Benjamin Garcia, Christophe Roeder, Michael Bada, K. Bretonnel Cohen, Lawrence E. Hunter, Karin Verspoor

BMC BIOINFORMATICS (2014)

Article Medicine, Research & Experimental

Teaching Research Ethics Better: Focus on Excellent Science, Not Bad Scientists

Mark Yarborough, Lawrence Hunter

CTS-CLINICAL AND TRANSLATIONAL SCIENCE (2013)

Editorial Material Computer Science, Software Engineering

Ontologies in Biological Data Visualization

Sheelagh Carpendale, Min Chen, Daniel Evanko, Nils Gehlenborg, Carsten Goerg, Larry Hunter, Francis Rowland, Margaret-Anne Storey, Hendrik Strobelt

IEEE COMPUTER GRAPHICS AND APPLICATIONS (2014)

Article Computer Science, Information Systems

Negotiating a Text Mining License for Faculty Researchers

Leslie A. Williams, Lynne M. Fox, Christophe Roeder, Lawrence Hunter

INFORMATION TECHNOLOGY AND LIBRARIES (2014)

Article Multidisciplinary Sciences

Approximate Subgraph Matching-Based Literature Mining for Biomedical Events and Relations

Haibin Liu, Lawrence Hunter, Vlado Keselj, Karin Verspoor

PLOS ONE (2013)

Article Pathology

Molecular Profiling Reveals Prognostically Significant Subtypes of Canine Lymphoma

A. M. Frantz, A. L. Sarver, D. Ito, T. L. Phang, A. Karimpour-Fard, M. C. Scott, V. E. O. Valli, K. Lindblad-Toh, K. E. Burgess, B. D. Husbands, M. S. Henson, A. Borgatti, W. C. Kisseberth, L. E. Hunter, M. Breen, T. D. O'Brien, J. F. Modiano

VETERINARY PATHOLOGY (2013)

Editorial Material Biochemical Research Methods

Rocky Mountain Conference on Bioinformatics Celebrates 10 Years

Lawrence E. Hunter

PLOS COMPUTATIONAL BIOLOGY (2013)

Article Mathematical & Computational Biology

Representing annotation compositionality and provenance for the Semantic Web

Kevin M. Livingston, Michael Bada, Lawrence E. Hunter, Karin Verspoor

JOURNAL OF BIOMEDICAL SEMANTICS (2013)

Article Biochemistry & Molecular Biology

Examining linguistic shifts between preprints and publications

David N. Nicholson, Vincent Rubinetti, Dongbo Hu, Marvin Thielk, Lawrence E. Hunter, Casey S. Greene

Summary: Preprints are a valuable tool for researchers to share their findings before they undergo peer review. This study examines the linguistic features of preprints in the bioRxiv repository and compares them to published biomedical text. The research reveals changes in typesetting and mentions of supporting information in preprints after peer review. Additionally, the study uses document embeddings to analyze scientific approaches, link preprints with peer-reviewed articles, and identify journals that publish similar papers. The findings show that preprints with more versions and textual changes take longer to publish. The study also introduces a web application that helps users identify linguistically similar journals and articles to preprints.

PLOS BIOLOGY (2022)

Proceedings Paper Biotechnology & Applied Microbiology

NO-BOUNDARY THINKING IN BIOINFORMATICS

Jason H. Moore, Steven F. Jennings, Casey S. Greene, Lawrence E. Hunter, Andy D. Perkins, Clarlynda Williams-Devane, Donald C. Wunsch, Zhongming Zhao, Xiuzhen Huang

PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017 (2017)

Review Genetics & Heredity

A survey of computational tools for downstream analysis of proteomic and other omic datasets

Anis Karimpour-Fard, L. Elaine Epperson, Lawrence E. Hunter

HUMAN GENOMICS (2015)

暂无数据