An expression atlas of human primary cells: inference of gene function from coexpression networks
Background The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correl...
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| Vydáno v: | BMC genomics Ročník 14; číslo 1; s. 632 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
BioMed Central
20.09.2013
BioMed Central Ltd Springer Nature B.V |
| Témata: | |
| ISSN: | 1471-2164, 1471-2164 |
| On-line přístup: | Získat plný text |
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| Abstract | Background
The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data.
Results
Using the network analysis tool BioLayout
Express
3D
we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control.
Conclusions
We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (
http://biogps.org/dataset/2429/primary-cell-atlas/
) and on macrophages.com (
http://www.macrophages.com/hu-cell-atlas
). |
|---|---|
| AbstractList | The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Using the network analysis tool BioLayout Express.sup.3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas). Doc number: 632 Abstract Background: The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Results: Using the network analysis tool BioLayout Express 3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. Conclusions: We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/ ) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas ). Background The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Results Using the network analysis tool BioLayout Express 3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. Conclusions We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site ( http://biogps.org/dataset/2429/primary-cell-atlas/ ) and on macrophages.com ( http://www.macrophages.com/hu-cell-atlas ). The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Using the network analysis tool BioLayout Express3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas). Background The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Results Using the network analysis tool BioLayout Express.sup.3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. Conclusions We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site ( Keywords: Clustering, Meta-analysis, Human, Primary cells, Dendritic cell, Macrophage, Microarray, Transcriptomics The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data.BACKGROUNDThe specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data.Using the network analysis tool BioLayout Express3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control.RESULTSUsing the network analysis tool BioLayout Express3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control.We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas).CONCLUSIONSWe consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas). Background: The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. Results: Using the network analysis tool BioLayout Express super(3D) we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. Conclusions: We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site ( http://biogps.org/dataset/2429/primary-cell-atlas/ ) and on macrophages.com ( http://www.macrophages.com/hu-cell-atlas ). |
| Audience | Academic |
| Author | Mabbott, Neil A Baillie, J Kenneth Hume, David A Brown, Helen Freeman, Tom C |
| AuthorAffiliation | 1 The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Edinburgh EH25 9RG, UK |
| AuthorAffiliation_xml | – name: 1 The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Edinburgh EH25 9RG, UK |
| Author_xml | – sequence: 1 givenname: Neil A surname: Mabbott fullname: Mabbott, Neil A email: neil.mabbott@roslin.ed.ac.uk organization: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh – sequence: 2 givenname: J Kenneth surname: Baillie fullname: Baillie, J Kenneth organization: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh – sequence: 3 givenname: Helen surname: Brown fullname: Brown, Helen organization: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh – sequence: 4 givenname: Tom C surname: Freeman fullname: Freeman, Tom C email: tom.freeman@roslin.ed.ac.uk organization: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh – sequence: 5 givenname: David A surname: Hume fullname: Hume, David A email: david.hume@roslin.ed.ac.uk organization: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24053356$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1002/dvdy.22730 10.1038/nn.2545 10.1016/j.yexcr.2005.09.020 10.1038/ng1789 10.1074/jbc.M110.182733 10.1182/blood-2012-06-436527 10.1038/ejhg.2011.96 10.1016/j.immuni.2010.05.007 10.1242/dev.001586 10.1615/CritRevEukarGeneExpr.v21.i3.10 10.1038/nri3088 10.1093/bioinformatics/bts084 10.1042/BJ20112062 10.1038/nprot.2009.177 10.1182/blood-2011-04-350025 10.1038/nature10921 10.1038/ni.2419 10.1016/j.ygeno.2010.03.002 10.1126/science.1087447 10.1007/s00335-012-9407-1 10.1038/ng2119 10.1182/blood-2010-01-263855 10.1038/nmeth756 10.1371/journal.pone.0002439 10.1016/j.neuron.2011.06.039 10.1186/1471-2121-13-15 10.1371/journal.pcbi.1000043 10.1186/1741-7007-10-90 10.1016/j.ydbio.2012.09.006 10.1038/ejhg.2010.91 10.1038/gene.2010.52 10.1093/bioinformatics/btn098 10.1038/nm.2205 10.1189/jlb.0312166 10.1186/gb-2010-11-10-r102 10.1189/jlb.1109764 10.1111/j.0105-2896.2006.00373.x 10.1038/ni.2516 10.1371/journal.pbio.1000582 10.1038/ni.2370 10.4161/cc.10.3.14709 10.1007/s00335-012-9406-2 10.1523/JNEUROSCI.5759-11.2012 10.1371/journal.pcbi.1002444 10.4161/cc.10.18.17350 10.1097/JTO.0b013e31820b86b0 10.1186/1745-7580-4-5 10.1111/j.0105-2896.2009.00879.x 10.1182/blood-2011-07-356006 10.1073/pnas.0400782101 10.1038/ng1434 10.1189/jlb.1110607 10.1016/j.molcel.2012.02.007 10.1038/nn.2702 10.1371/journal.pgen.0030201 10.6026/97320630009084 10.1073/pnas.1110156109 |
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The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately... The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we... Background The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately... Doc number: 632 Abstract Background: The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to... Background: The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately... |
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| SubjectTerms | Animal Genetics and Genomics Anopheles Arrays B cells Biomedical and Life Sciences Cluster Analysis Computational Biology Data processing Dendritic cells Dendritic Cells - metabolism DNA binding proteins Gene expression Gene Regulatory Networks Genetic aspects Genetic regulation Genomes Genomics Human and rodent genomics Humans Life Sciences Macrophages - metabolism Meta-analysis Microarrays Microbial Genetics and Genomics Oligonucleotide Array Sequence Analysis Ontology Phagocytes Physiological aspects Plant Genetics and Genomics Proteomics Quality control Research Article Stem cells Transcription factors Transcription Factors - genetics Transcriptome |
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| Title | An expression atlas of human primary cells: inference of gene function from coexpression networks |
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| Volume | 14 |
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