20 research outputs found
Generation and precise control of dynamic biochemical gradients for cellular assays
Acknowledgements We thank Marco Thiel and Alessandro De Moura for helpful discussions and advice, Stefan Hoppler and Mamen Romano for critical reading of the manuscript, James Hislop for his help with the plasma cleaner, Alex Brand for the microscopy imaging system and Alistair Robertson for fabricating the hydrostatic flow controllers. We also thank Diane Massie and Yvonne Turnbull for technical assistance. This work was supported by Scottish Universities Life Sciences Alliance (SULSA)and the University of Aberdeen .Peer reviewedPostprin
Accurate chromosome segregation by probabilistic self-organisation
We thank G Bewick, C Grebogi, S Hoppler, A Lorenz, C McCaig, F Perez-Reche, R Sekido, M Thiel and E Ullner for helpful discussions and critical reading of the manuscript. YS and CG were supported by Scottish Universities Life Sciences Alliance (SULSA) and HO by Wellcome Trust (grant numbers 098030 and 092076).Peer reviewedPublisher PD
Investigation of the Relationship Between Susceptibility Loci for Hip Osteoarthritis and Dual X-Ray AbsorptiometryāDerived Hip Shape in a Population-Based Cohort of PerimenopausalĀ Women
This publication is the work of the authors and does not necessarily reflect the views of any funders. Supported by the UK Medical Research Council (grant G1001357 for collection of hip shape), and the Wellcome Trust (grants WT092830M for collection of hip shape and WT088806 for genotyping). Core support for the Avon Longitudinal Study of Parents and Children is provided by the UK Medical Research Council, the Wellcome Trust (102215/2/13/2), and the University of Bristol. Dr. Baird's work was supported by Arthritis Research UK (grant 20244). Mr. Faber's work was supported by an Elizabeth Blackwell Institute Clinical Research Primer Scheme.Peer reviewedPostprin
Gateway vectors for efficient artificial gene assembly in vitro and expression in yeast Saccharomyces cerevisiae
Peer reviewedPublisher PD
Identification of novel loci associated with hip shape:a meta-analysis of genome-wide association studies
This study was funded by Arthritis Research UK project grant 20244, which also provided salary funding for DB and CVG. LP works in the MRC Integrative Epidemiology Unit, a UK MRCāfunded unit (MC_ UU_ 12013/4 & MC_UU_12013/5). ALSPAC: We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. ALSPAC data collection was supported by the Wellcome Trust (grants WT092830M; WT088806; WT102215/2/13/2), UK Medical Research Council (G1001357), and University of Bristol. The UK Medical Research Council and the Wellcome Trust (102215/2/13/2) and the University of Bristol provide core support for ALSPAC. Framingham Heart Study: The Framingham Osteoporosis Study is supported by grants from the National Institute of Arthritis, Musculoskeletal, and Skin Diseases and the National Institute on Aging (R01 AR41398, R01 AR 061162, R01 AR050066, and R01 AR061445). The analyses reflect intellectual input and resource development from the Framingham Heart Study investigators participating in the SNP Health Association Resource project. The Framingham Heart Study of the National Heart, Lung, and Blood Institute of the National Institutes of Health and Boston University School of Medicine were supported by the National Heart, Lung, and Blood Institute's Framingham Heart Study (N01āHCā25195) and its contract with Affymetrix, Inc., for genotyping services (N02āHLā6ā4278). Analyses reflect intellectual input and resource development from the Framingham Heart Study investigators participating in the SNP Health Association Resource (SHARe) project. A portion of this research was conducted using the Linux Cluster for Genetic Analysis (LinGAāII) funded by the Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center. DK was also supported by Israel Science Foundation grant #1283/14. TDC and DR thank Dr Claire Reardon and the entire Harvard University Bauer Core facility for assistance with ATACāseq next generation sequencing. This work was funded in part by the Harvard University Milton Fund, NSF (BCSā1518596), and NIH NIAMS (1R01AR070139ā01A1) to TDC. MrOS: The Osteoporotic Fractures in Men (MrOS) Study is supported by National Institutes of Health funding. The following institutes provide support: the National Institute on Aging (NIA), the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Center for Advancing Translational Sciences (NCATS), and NIH Roadmap for Medical Research under the following grant numbers: U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, and UL1 TR000128. The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) provides funding for the MrOS ancillary study āReplication of candidate gene associations and bone strength phenotype in MrOSā under the grant number R01 AR051124. The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) provides funding for the MrOS ancillary study āGWAS in MrOS and SOFā under the grant number RC2 AR058973. SOF: The Study of Osteoporotic Fractures (SOF) is supported by National Institutes of Health funding. The National Institute on Aging (NIA) provides support under the following grant numbers: R01 AG005407, R01 AR35582, R01 AR35583, R01 AR35584, R01 AG005394, R01 AG027574, and R01 AG027576. TwinsUK: The study was funded by the Wellcome Trust; European Community's Seventh Framework Programme (FP7/2007ā2013). The study also receives support from the National Institute for Health Research (NIHR)āfunded BioResource, Clinical Research Facility, and Biomedical Research Centre based at Guy's and St Thomasā NHS Foundation Trust in partnership with King's College London. SNP genotyping was performed by The Wellcome Trust Sanger Institute and National Eye Institute via NIH/CIDR. This study was also supported by the Australian National Health and Medical Research Council (project grants 1048216 and 1127156), the Sir Charles Gairdner Hospital RAC (SGW), and the iVEC/Pawsey Supercomputing Centre (project grants Pawsey0162 and Director2025 [SGW]). The salary of BHM was supported by a Raine Medical Research Foundation Priming Grant. The UmeĆ„ Fracture and Osteoporosis Study (UFO) is supported by the Swedish Research Council (K20006ā72Xā20155013), the Swedish Sports Research Council (87/06), the Swedish Society of Medicine, the KempeāFoundation (JCKā1021), and by grants from the Medical Faculty of UmeĆ„ Unviersity (ALFVLL:968:22ā2005, ALFVL:ā937ā2006, ALFVLL:223:11ā2007, and ALFVLL:78151ā2009) and from the county council of VƤsterbotten (Spjutspetsanslag VLL:159:33ā2007). This publication is the work of the authors and does not necessarily reflect the views of any funders. None of the funders had any influence on data collection, analysis, interpretation of the results, or writing of the paper. DB will serve as the guarantor of the paper. Authorsā roles: Study conception and design: DAB, JSG, RMA, LP, DK, and JHT. Data collection: DJ, DPK, ESO, SRC, NEL, BHM, FMKW, JBR, SGW, TDC, BGF, DAL, CO, and UPāL. Data analysis: DAB, DSE, FKK, JSG, FRS, CVG, RJB, RMA, SGW, EG, TDC, DR, and TB. Data interpretation: JSG, RMA, TDC, DR, DME, LP, DK, and JHT. Drafting manuscript: DAB and JHT. Revising manuscript content: JHT. All authors approved the final version of manuscript. DAB takes responsibility for the integrity of the data analysis.Peer reviewedPublisher PD
A mathematical modelling portrait of Wnt signalling in early vertebrate embryogenesis
There are two phases of Wnt signalling in early vertebrate embryogenesis:
very early, maternal Wnt signalling promotes dorsal development, and slightly
later, zygotic Wnt signalling promotes ventral and lateral mesoderm induction.
However, recent molecular biology analysis has revealed more complexity among
the direct Wnt target genes, with at least five classes. Here in order to test
the logic and the dynamics of a new Gene Regulatory Network model suggested by
these discoveries we use mathematical modelling based on ordinary differential
equations (ODEs). Our mathematical modelling of this Gene Regulatory Network
reveals that a simplified model, with one "super-gene" for each class is
sufficient to a large extent to describe the regulatory behaviour previously
observed experimentally