Yr Athro David Skibinski

Athro Emeritws (Meddygaeth), Medicine

+44 (0) 1792 295390

d.o.f.skibinski@abertawe.ac.uk

Dolenni Ymchwil

https://orcid.org/0000-0003-4077-6236

ResearchGate

Google Scholar

Scopus

Trosolwg

Mae’r Athro David Skibinski yn Athro Emeritws. Mae wedi cyhoeddi ar amrywiaeth eang o bynciau yn y maes geneteg a bioleg esblygiadol ac ar hyn o bryd mae’n gweithio ar broblemau sy’n gysylltiedig â phroteomeg a genomeg, esblygiad plancton a’r newid yn yr hinsawdd, geneteg poblogaethau moleciwlaidd infertebratau morol, ac astrobioleg. Mae ganddo ddiddordeb hefyd mewn cymhwyso technegau ystadegol a modelu cyfrifiadurol ym maes geneteg ac esblygiad. Nod ei waith ymchwil yw cynyddu dealltwriaeth o’r ffordd y mae poblogaethau anifeiliaid yn cynnwys pobl yn addasu i newidiadau amgylcheddol ac yn ymdopi â’r bygythiad o ddifodiant.
Mae ei gyhoeddiad ar gael yn llawn yn https://dofski.info/

Meysydd Arbenigedd

Geneteg ac Esblygiad
Geneteg Poblogaethau Moleciwlaidd
Ystadegau a Modelu Biolegol
Genomeg a Biowybodeg

Uchafbwyntiau Gyrfa

Ymchwil

Achosion amrywiaeth genynnol mewn poblogaethau naturiol

Proteomau a thranscriptomegau gyda phwyslais ar ddulliau dadansoddi data

Achosion a chanlyniadau etifeddu DNA mitrocondriaidd ar ochr y tad

Modelu genetig esblygiadol poblogaethau plancton

Modelu a chymwysiadau cymharu proteinau mewn bioleg a meddygaeth esblygiadol

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2019). Imaging Sterols and Oxysterols in Mouse Brain Reveals Distinct Spatial Cholesterol Metabolism
https://doi.org/10.1101/450973, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53208
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2020). Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism. Proceedings of the National Academy of Sciences, 117(11), 5749-5760.
https://doi.org/10.1073/pnas.1917421117, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53792
Flynn, K. & Skibinski, D. (2020). Exploring evolution of maximum growth rates in plankton. Journal of Plankton Research, 42(5), 497-513.
https://doi.org/10.1093/plankt/fbaa038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55147
Skibinski, D. (2020). Some Thoughts on the Fermi Paradox and Extensions to the Kardashev Scale in Relation to Theology
https://doi.org/10.22541/au.158716290.04813939/v2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55149
Flynn, K., Skibinski, D., & Lindemann, C. (2018). Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics. PLOS Computational Biology, 14(4), e1006118
https://doi.org/10.1371/journal.pcbi.1006118, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39983
Romero, M., Pérez-Figueroa, A., Carrera, M., Swanson, W., Skibinski, D., & Diz, A. (2019). RNA-seq coupled to proteomic analysis reveals high sperm proteome variation between two closely related marine mussel species. Journal of Proteomics
https://doi.org/10.1016/j.jprot.2018.08.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44682
Diz, A., Carvajal-Rodriguez, A., Skibinski, D., & Skibinski, D. (2011). Multiple Hypothesis Testing in Proteomics: A Strategy for Experimental Work. Molecular & Cellular Proteomics, 10(3), M110.004374-M110.004374.
https://doi.org/10.1074/mcp.M110.004374, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9976
Diz, A., Truebano, M., & Skibinski, D. (2009). The consequences of sample pooling in proteomics: An empirical study. ELECTROPHORESIS, 30(17), 2967-2975.
https://doi.org/10.1002/elps.200900210, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9977
Diz, A., Dudley, E., Cogswell, A., MacDonald, B., Kenchington, E., Zouros, E., & Skibinski, D. (2013). Proteomic Analysis of Eggs fromMytilus edulisFemales Differing in Mitochondrial DNA Transmission Mode. Molecular & Cellular Proteomics, 12(11), 3068-3080.
https://doi.org/10.1074/mcp.M113.031401, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15258
Skibinski, D., Ghiselli, F., Diz, A., Milani, L., & Mullins, J. (2017). Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System. Genome Biology and Evolution, 9(12), 3265-3281.
https://doi.org/10.1093/gbe/evx235, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37121
Tolman, D., Wood, H., Skibinski, D., & Truebano, M. (2019). Differential immunity as a factor influencing mussel hybrid zone structure. Marine Biology, 166(12)
https://doi.org/10.1007/s00227-019-3604-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52706
Diz, A., Dudley, E., MacDonald, B., Pina, B., Kenchington, E., Zouros, E., Skibinski, D., Skibinski, D., & Dudley, E. (2009). Genetic Variation Underlying Protein Expression in Eggs of the Marine Mussel Mytilus edulis. Molecular & Cellular Proteomics, 8, 132-144.
https://doi.org/10.1074/mcp.M800237-MCP200, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9975
Mitchell, I. & Skibinski, D. (2012). Analysis of Genotoxicity Data in a Regulatory Context. (pp. 399-417).
https://doi.org/10.1007/978-1-61779-421-6_18, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10873
Diz, A., Dudley, E., & Skibinski, D. (2012). Identification and characterisation of highly expressed proteins in sperm cells of the marine mussel Mytilus edulis. PROTEOMICS, 12(12), 1949-1956.
https://doi.org/10.1002/pmic.201100500, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10815
Hayward, P., Porter, J., Skibinski, D., & Skibinski, D. (2009). Bayesian phylogenetics of Bryozoa. MOLECULAR PHYLOGENETICS AND EVOLUTION, 52, 904-910.
https://doi.org/10.1016/j.ympev.2009.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9978
Diz, A., Romero, M., Pérez-Figueroa, A., Swanson, W., & Skibinski, D. (2018). RNA-seq data from mature male gonads of marine mussels Mytilus edulis and M. galloprovincialis. Data in Brief, 21, 167-175.
https://doi.org/10.1016/j.dib.2018.09.086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44779
Zbawicka, M., Burzynski, A., Skibinski, D., & Skibinski, D. (2010). Scottish Mytilus trossulus mussels retain ancestral mitochondrial DNA: Complete sequences of male and female mtDNA genomes. GENE, 456, 45-53.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10147
Flynn, K., St John, M., Raven, J., Skibinski, D., Allen, J., Mitra, A., & Hofmann, E. (2015). Acclimation, adaptation, traits and trade-offs in plankton functional type models: reconciling terminology for biology and modelling. Journal of Plankton Research, 37(4), 683-691.
https://doi.org/10.1093/plankt/fbv036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23535
Jones, N., Piasecka, J., Bryant, A., Jones, R., Skibinski, D., Francis, N., Thornton, C., Skibinski, D., Jones, R., Thornton, C., Bryant, A., & Jones, N. (2015). Bioenergetic analysis of human peripheral blood mononuclear cells. Clinical & Experimental Immunology, 182(1), 69-80.
https://doi.org/10.1111/cei.12662, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23517
Tsyganov-Bodounov, A. & Skibinski, D. (2010). Confocal laser scanning microscopy method for in vivo bryozoan larvae identification. Marine Biodiversity Records, 3
https://doi.org/10.1017/S1755267210000400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10816
Bond, A., Bodger, O., Skibinski, D., Jones, D., Restall, C., Dudley, E., Keulen, G., Jones, H., & Van Keulen, G. (2013). Negatively-Marked MCQ Assessments That Reward Partial Knowledge Do Not Introduce Gender Bias Yet Increase Student Performance and Satisfaction and Reduce Anxiety. PLoS ONE, 8(2)
https://doi.org/10.1371/journal.pone.0055956, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14174
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055956
Dale, C., Facey, P., Hitchings, M., Williams, J., Skibinski, D., Dyson, P., Sol, R., & Del Sol Abascal, R. (2013). The Evolution of an Osmotically Inducible dps in the Genus Streptomyces. PLoS ONE, 8(4)
https://doi.org/10.1371/journal.pone.0060772, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14547
Johnson, G., Doak, S., Griffiths, S., Quick, E., Skibinski, D., Zaïr, Z., & Jenkins, G. (2009). Non-linear dose–response of DNA-reactive genotoxins: Recommendations for data analysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis, 678(2), 95-100.
https://doi.org/10.1016/j.mrgentox.2009.05.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10159
http://www.scopus.com/record/display.url?eid=2-s2.0-69449087034&origin=resultslist&sort=plf-f&src=s&st1=johnson&st2=g&nlo=1&nlr=20&nls=count-f&sid=nkEabDC5JfN4WVqV93wmb74%3a163&sot=anl&sdt=aut&sl=38&s=AU-ID%28%22Johnson%2c+George+E.%22+8528864100%29&relpos=4&relpos=4&searchTerm=AU-ID(\%22Johnson,%20George%20E.\%22%208528864100)
Diz, A., Romero, M., Galindo, J., Saura, M., Skibinski, D., & Rolán-Alvarez, E. (2021). Proteomic analysis of F1 hybrids and intermediate variants in a littorina saxatilis hybrid zone. Current Zoology, 68(3)
https://doi.org/10.1093/cz/zoab054, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57607

Holl Ymchwil

Erthyglau Cylchgronau

Diz, A., Romero, M., Galindo, J., Saura, M., Skibinski, D., & Rolán-Alvarez, E. (2021). Proteomic analysis of F1 hybrids and intermediate variants in a littorina saxatilis hybrid zone. Current Zoology, 68(3)
https://doi.org/10.1093/cz/zoab054, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57607
Flynn, K. & Skibinski, D. (2020). Exploring evolution of maximum growth rates in plankton. Journal of Plankton Research, 42(5), 497-513.
https://doi.org/10.1093/plankt/fbaa038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55147
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2020). Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism. Proceedings of the National Academy of Sciences, 117(11), 5749-5760.
https://doi.org/10.1073/pnas.1917421117, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53792
Tolman, D., Wood, H., Skibinski, D., & Truebano, M. (2019). Differential immunity as a factor influencing mussel hybrid zone structure. Marine Biology, 166(12)
https://doi.org/10.1007/s00227-019-3604-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52706
Romero, M., Pérez-Figueroa, A., Carrera, M., Swanson, W., Skibinski, D., & Diz, A. (2019). RNA-seq coupled to proteomic analysis reveals high sperm proteome variation between two closely related marine mussel species. Journal of Proteomics
https://doi.org/10.1016/j.jprot.2018.08.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44682
Diz, A., Romero, M., Pérez-Figueroa, A., Swanson, W., & Skibinski, D. (2018). RNA-seq data from mature male gonads of marine mussels Mytilus edulis and M. galloprovincialis. Data in Brief, 21, 167-175.
https://doi.org/10.1016/j.dib.2018.09.086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44779
Flynn, K., Skibinski, D., & Lindemann, C. (2018). Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics. PLOS Computational Biology, 14(4), e1006118
https://doi.org/10.1371/journal.pcbi.1006118, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39983
Skibinski, D., Ghiselli, F., Diz, A., Milani, L., & Mullins, J. (2017). Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System. Genome Biology and Evolution, 9(12), 3265-3281.
https://doi.org/10.1093/gbe/evx235, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37121
Flynn, K., St John, M., Raven, J., Skibinski, D., Allen, J., Mitra, A., & Hofmann, E. (2015). Acclimation, adaptation, traits and trade-offs in plankton functional type models: reconciling terminology for biology and modelling. Journal of Plankton Research, 37(4), 683-691.
https://doi.org/10.1093/plankt/fbv036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23535
Jones, N., Piasecka, J., Bryant, A., Jones, R., Skibinski, D., Francis, N., Thornton, C., Skibinski, D., Jones, R., Thornton, C., Bryant, A., & Jones, N. (2015). Bioenergetic analysis of human peripheral blood mononuclear cells. Clinical & Experimental Immunology, 182(1), 69-80.
https://doi.org/10.1111/cei.12662, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23517
Diz, A., Dudley, E., Cogswell, A., MacDonald, B., Kenchington, E., Zouros, E., & Skibinski, D. (2013). Proteomic Analysis of Eggs fromMytilus edulisFemales Differing in Mitochondrial DNA Transmission Mode. Molecular & Cellular Proteomics, 12(11), 3068-3080.
https://doi.org/10.1074/mcp.M113.031401, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15258
Dale, C., Facey, P., Hitchings, M., Williams, J., Skibinski, D., Dyson, P., Sol, R., & Del Sol Abascal, R. (2013). The Evolution of an Osmotically Inducible dps in the Genus Streptomyces. PLoS ONE, 8(4)
https://doi.org/10.1371/journal.pone.0060772, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14547
Bond, A., Bodger, O., Skibinski, D., Jones, D., Restall, C., Dudley, E., Keulen, G., Jones, H., & Van Keulen, G. (2013). Negatively-Marked MCQ Assessments That Reward Partial Knowledge Do Not Introduce Gender Bias Yet Increase Student Performance and Satisfaction and Reduce Anxiety. PLoS ONE, 8(2)
https://doi.org/10.1371/journal.pone.0055956, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14174
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055956
Diz, A., Dudley, E., & Skibinski, D. (2012). Identification and characterisation of highly expressed proteins in sperm cells of the marine mussel Mytilus edulis. PROTEOMICS, 12(12), 1949-1956.
https://doi.org/10.1002/pmic.201100500, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10815
Diz, A., Carvajal-Rodriguez, A., Skibinski, D., & Skibinski, D. (2011). Multiple Hypothesis Testing in Proteomics: A Strategy for Experimental Work. Molecular & Cellular Proteomics, 10(3), M110.004374-M110.004374.
https://doi.org/10.1074/mcp.M110.004374, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9976
Zbawicka, M., Burzynski, A., Skibinski, D., & Skibinski, D. (2010). Scottish Mytilus trossulus mussels retain ancestral mitochondrial DNA: Complete sequences of male and female mtDNA genomes. GENE, 456, 45-53.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10147
Tsyganov-Bodounov, A. & Skibinski, D. (2010). Confocal laser scanning microscopy method for in vivo bryozoan larvae identification. Marine Biodiversity Records, 3
https://doi.org/10.1017/S1755267210000400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10816
Diz, A., Truebano, M., & Skibinski, D. (2009). The consequences of sample pooling in proteomics: An empirical study. ELECTROPHORESIS, 30(17), 2967-2975.
https://doi.org/10.1002/elps.200900210, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9977
Diz, A., Dudley, E., MacDonald, B., Pina, B., Kenchington, E., Zouros, E., Skibinski, D., Skibinski, D., & Dudley, E. (2009). Genetic Variation Underlying Protein Expression in Eggs of the Marine Mussel Mytilus edulis. Molecular & Cellular Proteomics, 8, 132-144.
https://doi.org/10.1074/mcp.M800237-MCP200, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9975
Hayward, P., Porter, J., Skibinski, D., & Skibinski, D. (2009). Bayesian phylogenetics of Bryozoa. MOLECULAR PHYLOGENETICS AND EVOLUTION, 52, 904-910.
https://doi.org/10.1016/j.ympev.2009.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9978
Johnson, G., Doak, S., Griffiths, S., Quick, E., Skibinski, D., Zaïr, Z., & Jenkins, G. (2009). Non-linear dose–response of DNA-reactive genotoxins: Recommendations for data analysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis, 678(2), 95-100.
https://doi.org/10.1016/j.mrgentox.2009.05.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10159
http://www.scopus.com/record/display.url?eid=2-s2.0-69449087034&origin=resultslist&sort=plf-f&src=s&st1=johnson&st2=g&nlo=1&nlr=20&nls=count-f&sid=nkEabDC5JfN4WVqV93wmb74%3a163&sot=anl&sdt=aut&sl=38&s=AU-ID%28%22Johnson%2c+George+E.%22+8528864100%29&relpos=4&relpos=4&searchTerm=AU-ID(\%22Johnson,%20George%20E.\%22%208528864100)

Penodau Llyfrau

Mitchell, I. & Skibinski, D. (2012). Analysis of Genotoxicity Data in a Regulatory Context. (pp. 399-417).
https://doi.org/10.1007/978-1-61779-421-6_18, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10873

Cynnyrch Ymchwil Arall

Skibinski, D. (2020). Some Thoughts on the Fermi Paradox and Extensions to the Kardashev Scale in Relation to Theology
https://doi.org/10.22541/au.158716290.04813939/v2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55149
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2019). Imaging Sterols and Oxysterols in Mouse Brain Reveals Distinct Spatial Cholesterol Metabolism
https://doi.org/10.1101/450973, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53208