A Field Approach to 3D Gene Expression Pattern Characterization
We present a vector field method for obtaining the spatial organization of 3D patterns of gene expression based on gradients and lines of force obtained by numerical integration. The convergence of these lines of force in local maxima are centers of gene expression, providing a natural and powerful...
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| creator | Costa, L. da F Travencolo, B. A. N Azeredo, A Beletti, M. E Rasskin-Gutman, D Sternik, G Belmonte, J. C. I Mueller, G. B |
| description | We present a vector field method for obtaining the spatial organization of 3D
patterns of gene expression based on gradients and lines of force obtained by
numerical integration. The convergence of these lines of force in local maxima
are centers of gene expression, providing a natural and powerful framework to
characterize the organization and dynamics of biological structures. We apply
this novel methodology to analyze the expression pattern of the Enhanced Green
Fluorescent Protein (EGFP) driven by the promoter of light chain myosin II
during zebrafish heart formation. |
| doi_str_mv | 10.48550/arxiv.q-bio/0411020 |
| format | Article |
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patterns of gene expression based on gradients and lines of force obtained by
numerical integration. The convergence of these lines of force in local maxima
are centers of gene expression, providing a natural and powerful framework to
characterize the organization and dynamics of biological structures. We apply
this novel methodology to analyze the expression pattern of the Enhanced Green
Fluorescent Protein (EGFP) driven by the promoter of light chain myosin II
during zebrafish heart formation.</description><identifier>DOI: 10.48550/arxiv.q-bio/0411020</identifier><language>eng</language><subject>Physics - Biological Physics ; Physics - Statistical Mechanics ; Quantitative Biology - Genomics ; Quantitative Biology - Tissues and Organs</subject><creationdate>2004-11</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/q-bio/0411020$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.q-bio/0411020$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1063/1.1898424$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Costa, L. da F</creatorcontrib><creatorcontrib>Travencolo, B. A. N</creatorcontrib><creatorcontrib>Azeredo, A</creatorcontrib><creatorcontrib>Beletti, M. E</creatorcontrib><creatorcontrib>Rasskin-Gutman, D</creatorcontrib><creatorcontrib>Sternik, G</creatorcontrib><creatorcontrib>Belmonte, J. C. I</creatorcontrib><creatorcontrib>Mueller, G. B</creatorcontrib><title>A Field Approach to 3D Gene Expression Pattern Characterization</title><description>We present a vector field method for obtaining the spatial organization of 3D
patterns of gene expression based on gradients and lines of force obtained by
numerical integration. The convergence of these lines of force in local maxima
are centers of gene expression, providing a natural and powerful framework to
characterize the organization and dynamics of biological structures. We apply
this novel methodology to analyze the expression pattern of the Enhanced Green
Fluorescent Protein (EGFP) driven by the promoter of light chain myosin II
during zebrafish heart formation.</description><subject>Physics - Biological Physics</subject><subject>Physics - Statistical Mechanics</subject><subject>Quantitative Biology - Genomics</subject><subject>Quantitative Biology - Tissues and Organs</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJAxNNAzsTA1NdBPLKrILNMr1E3KzNc3MDE0NDAy4GSwd1Rwy0zNSVFwLCgoyk9MzlAoyVcwdlFwT81LVXCtKChKLS7OzM9TCEgsKUktylNwzkgsSkwGMjOrEkuAEjwMrGmJOcWpvFCam0HJzTXE2UMXbFt8QVFmbmJRZXxhPNDWeKitxkQpAgCq2zom</recordid><startdate>20041105</startdate><enddate>20041105</enddate><creator>Costa, L. da F</creator><creator>Travencolo, B. A. N</creator><creator>Azeredo, A</creator><creator>Beletti, M. E</creator><creator>Rasskin-Gutman, D</creator><creator>Sternik, G</creator><creator>Belmonte, J. C. I</creator><creator>Mueller, G. B</creator><scope>ALC</scope><scope>GOX</scope></search><sort><creationdate>20041105</creationdate><title>A Field Approach to 3D Gene Expression Pattern Characterization</title><author>Costa, L. da F ; Travencolo, B. A. N ; Azeredo, A ; Beletti, M. E ; Rasskin-Gutman, D ; Sternik, G ; Belmonte, J. C. I ; Mueller, G. B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_q_bio_04110203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Physics - Biological Physics</topic><topic>Physics - Statistical Mechanics</topic><topic>Quantitative Biology - Genomics</topic><topic>Quantitative Biology - Tissues and Organs</topic><toplevel>online_resources</toplevel><creatorcontrib>Costa, L. da F</creatorcontrib><creatorcontrib>Travencolo, B. A. N</creatorcontrib><creatorcontrib>Azeredo, A</creatorcontrib><creatorcontrib>Beletti, M. E</creatorcontrib><creatorcontrib>Rasskin-Gutman, D</creatorcontrib><creatorcontrib>Sternik, G</creatorcontrib><creatorcontrib>Belmonte, J. C. I</creatorcontrib><creatorcontrib>Mueller, G. B</creatorcontrib><collection>arXiv Quantitative Biology</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Costa, L. da F</au><au>Travencolo, B. A. N</au><au>Azeredo, A</au><au>Beletti, M. E</au><au>Rasskin-Gutman, D</au><au>Sternik, G</au><au>Belmonte, J. C. I</au><au>Mueller, G. B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Field Approach to 3D Gene Expression Pattern Characterization</atitle><date>2004-11-05</date><risdate>2004</risdate><abstract>We present a vector field method for obtaining the spatial organization of 3D
patterns of gene expression based on gradients and lines of force obtained by
numerical integration. The convergence of these lines of force in local maxima
are centers of gene expression, providing a natural and powerful framework to
characterize the organization and dynamics of biological structures. We apply
this novel methodology to analyze the expression pattern of the Enhanced Green
Fluorescent Protein (EGFP) driven by the promoter of light chain myosin II
during zebrafish heart formation.</abstract><doi>10.48550/arxiv.q-bio/0411020</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Physics - Biological Physics Physics - Statistical Mechanics Quantitative Biology - Genomics Quantitative Biology - Tissues and Organs |
| title | A Field Approach to 3D Gene Expression Pattern Characterization |
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