Association of tissue lineage and gene expression: conservatively and differentially expressed genes define common and special functions of tissues

BackgroundEmbryogenesis is the process by which the embryo is formed, develops, and establishes developmental hierarchies of tissues. The recent advance in microarray technology made it possible to investigate the tissue specific patterns of gene expression and their relationship with tissue lineages. This study is focused on how tissue specific functions, tissue lineage, and cell differentiation are correlated, which is essential to understand embryonic development and organism complexity.ResultsWe performed individual gene and gene set based analysis on multiple tissue expression data, in association with the classic topology of mammalian fate maps of embryogenesis. For each sub-group of tissues on the fate map, conservatively, differentially and correlatively expressed genes or gene sets were identified. Tissue distance was found to correlate with gene expression divergence. Tissues of the ectoderm or mesoderm origins from the same segments on the fate map shared more similar expression pattern than those from different origins. Conservatively expressed genes or gene sets define common functions in a tissue group and are related to tissue specific diseases, which is supported by results from Gene Ontology and KEGG pathway analysis. Gene expression divergence is larger in certain human tissues than in the mouse homologous tissues.ConclusionThe results from tissue lineage and gene expression analysis indicate that common function features of neighbor tissue groups were defined by the conservatively expressed genes and were related to tissue specific diseases, and differentially expressed genes contribute to the functional divergence of tissues. The difference of gene expression divergence in human and mouse homologous tissues reflected the organism complexity, i.e. distinct neural development levels and different body sizes.

[1]  X. Gu,et al.  Tissue-driven Hypothesis with Gene Ontology (GO) Analysis , 2007, Annals of Biomedical Engineering.

[2]  X. Gu,et al.  Tissue-driven hypothesis of genomic evolution and sequence-expression correlations , 2007, Proceedings of the National Academy of Sciences.

[3]  L. Wolpert Developmental Biology , 1968, Nature.

[4]  Jianzhi Zhang,et al.  Evolutionary conservation of expression profiles between human and mouse orthologous genes. , 2006, Molecular biology and evolution.

[5]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Adriano Aguzzi,et al.  Prions: health scare and biological challenge , 2001, Nature Reviews Molecular Cell Biology.

[7]  Edwin Wang,et al.  MicroRNA regulation and interspecific variation of gene expression. , 2007, Trends in genetics : TIG.

[8]  Yao Yu,et al.  GEOGLE: context mining tool for the correlation between gene expression and the phenotypic distinction , 2009, BMC Bioinformatics.

[9]  R. Lempicki,et al.  Evaluation of gene expression measurements from commercial microarray platforms. , 2003, Nucleic acids research.

[10]  C. Rosas,et al.  Gonad Development During the Early Life of Octopus maya (Mollusca: Cephalopoda) , 2009, The Biological Bulletin.

[11]  Alex E. Lash,et al.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..

[12]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[13]  BMC Bioinformatics , 2005 .

[14]  Xia Li,et al.  Towards patterns tree of gene coexpression in eukaryotic species , 2008, Bioinform..

[15]  Anton Berns,et al.  High-throughput retroviral tagging to identify components of specific signaling pathways in cancer , 2002, Nature Genetics.

[16]  E. Fine,et al.  The history of the development of the cerebellar examination. , 2002, Seminars in neurology.

[17]  A. Vinogradov,et al.  Organismal complexity, cell differentiation and gene expression: human over mouse , 2007, Nucleic acids research.

[18]  S. Salipante,et al.  Phylogenetic fate mapping. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[19]  D. Gifford,et al.  Tissue-specific transcriptional regulation has diverged significantly between human and mouse , 2007, Nature Genetics.

[20]  James M Thompson,et al.  Phylogenetic Fate Mapping: Theoretical and Experimental Studies Applied to the Development of Mouse Fibroblasts , 2008, Genetics.

[21]  S. Hornemann,et al.  De novo generation of a transmissible spongiform encephalopathy by mouse transgenesis , 2009, Proceedings of the National Academy of Sciences.

[22]  J. Sulston,et al.  The embryonic cell lineage of the nematode Caenorhabditis elegans. , 1983, Developmental biology.

[23]  L. A. Goodman,et al.  Kolmogorov-Smirnov tests for psychological research. , 1954, Psychological bulletin.

[24]  S. Batalov,et al.  A gene atlas of the mouse and human protein-encoding transcriptomes. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Jianzhi Zhang,et al.  Low rates of expression profile divergence in highly expressed genes and tissue-specific genes during mammalian evolution. , 2006, Molecular biology and evolution.

[26]  Yixue Li,et al.  Gene expression module-based chemical function similarity search , 2008, Nucleic acids research.

[27]  L. Mathis,et al.  Retrospective tracing of the developmental lineage of the mouse myotome. , 2000, Current topics in developmental biology.

[28]  T. Nikolskaya,et al.  A comprehensive functional analysis of tissue specificity of human gene expression , 2008, BMC Biology.

[29]  M. Lin,et al.  Evaluations of boar gonad development, spermatogenesis with regard to semen characteristics, libido and serum testosterone levels based on large White Duroc x Chinese Erhualian crossbred boars. , 2009, Reproduction in domestic animals = Zuchthygiene.

[30]  Christian Gieger,et al.  Human gene expression sensitivity according to large scale meta-analysis , 2009, BMC Bioinformatics.

[31]  F. Müller,et al.  The human brain at stages 21–23, with particular reference to the cerebral cortical plate and to the development of the cerebellum , 2006, Anatomy and Embryology.