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1. Structures and Functions of Microbial Lipid Antigens Presented by CD1

Author

Willcox, B. E., Willcox, C. R., Dover, L. G., Besra, G., Compans, R. W., editor, Cooper, M. D., editor, Honjo, T., editor, Koprowski, H., editor, Melchers, F., editor, Oldstone, M. B. A., editor, Olsnes, S., editor, Svanborg, C., editor, Vogt, P. K., editor, Wagner, H., editor, and Moody, D. Branch, editor

Published
2007
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3. CropPol: A dynamic, open and global database on crop pollination

Author

Allen-Perkins, A, Magrach, A, Dainese, M, Garibaldi, LA, Kleijn, D, Rader, R, Reilly, JR, Winfree, R, Lundin, O, McGrady, CM, Brittain, C, Biddinger, DJ, Artz, DR, Elle, E, Hoffman, G, Ellis, JD, Daniels, J, Gibbs, J, Campbell, JW, Brokaw, J, Wilson, JK, Mason, K, Ward, KL, Gundersen, KB, Bobiwash, K, Gut, L, Rowe, LM, Boyle, NK, Williams, NM, Joshi, NK, Rothwell, N, Gillespie, RL, Isaacs, R, Fleischer, SJ, Peterson, SS, Rao, S, Pitts-Singer, TL, Fijen, T, Boreux, V, Rundlof, M, Viana, BF, Klein, A-M, Smith, HG, Bommarco, R, Carvalheiro, LG, Ricketts, TH, Ghazoul, J, Krishnan, S, Benjamin, FE, Loureiro, J, Castro, S, Raine, NE, de Groot, GA, Horgan, FG, Hipolito, J, Smagghe, G, Meeus, I, Eeraerts, M, Potts, SG, Kremen, C, Garcia, D, Minarro, M, Crowder, DW, Pisanty, G, Mandelik, Y, Vereecken, NJ, Leclercq, N, Weekers, T, Lindstrom, SAM, Stanley, DA, Zaragoza-Trello, C, Nicholson, CC, Scheper, J, Rad, C, Marks, EAN, Mota, L, Danforth, B, Park, M, Bezerra, ADM, Freitas, BM, Mallinger, RE, Oliveira da Silva, F, Willcox, B, Ramos, DL, da Silva e Silva, FD, Lazaro, A, Alomar, D, Gonzalez-Estevez, MA, Taki, H, Cariveau, DP, Garratt, MPD, Nabaes Jodar, DN, Stewart, RIA, Ariza, D, Pisman, M, Lichtenberg, EM, Schueepp, C, Herzog, F, Entling, MH, Dupont, YL, Michener, CD, Daily, GC, Ehrlich, PR, Burns, KLW, Vila, M, Robson, A, Howlett, B, Blechschmidt, L, Jauker, F, Schwarzbach, F, Nesper, M, Diekoetter, T, Wolters, V, Castro, H, Gaspar, H, Nault, BA, Badenhausser, I, Petersen, JD, Tscharntke, T, Bretagnolle, V, Willis Chan, DS, Chacoff, N, Andersson, GKS, Jha, S, Colville, JF, Veldtman, R, Coutinho, J, Bianchi, FJJA, Sutter, L, Albrecht, M, Jeanneret, P, Zou, Y, Averill, AL, Saez, A, Sciligo, AR, Vergara, CH, Bloom, EH, Oeller, E, Badano, EI, Loeb, GM, Grab, H, Ekroos, J, Gagic, V, Cunningham, SA, Astrom, J, Cavigliasso, P, Trillo, A, Classen, A, Mauchline, AL, Montero-Castano, A, Wilby, A, Woodcock, BA, Sidhu, CS, Steffan-Dewenter, I, Vogiatzakis, IN, Herrera, JM, Otieno, M, Gikungu, MW, Cusser, SJ, Nauss, T, Nilsson, L, Knapp, J, Ortega-Marcos, JJ, Gonzalez, JA, Osborne, JL, Blanche, R, Shaw, RF, Hevia, V, Stout, J, Arthur, AD, Blochtein, B, Szentgyorgyi, H, Li, J, Mayfield, MM, Woyciechowski, M, Nunes-Silva, P, Halinski de Oliveira, R, Henry, S, Simmons, BI, Dalsgaard, B, Hansen, K, Sritongchuay, T, O'Reilly, AD, Chamorro Garcia, FJ, Nates Parra, G, Magalhaes Pigozo, C, Bartomeus, I, Allen-Perkins, A, Magrach, A, Dainese, M, Garibaldi, LA, Kleijn, D, Rader, R, Reilly, JR, Winfree, R, Lundin, O, McGrady, CM, Brittain, C, Biddinger, DJ, Artz, DR, Elle, E, Hoffman, G, Ellis, JD, Daniels, J, Gibbs, J, Campbell, JW, Brokaw, J, Wilson, JK, Mason, K, Ward, KL, Gundersen, KB, Bobiwash, K, Gut, L, Rowe, LM, Boyle, NK, Williams, NM, Joshi, NK, Rothwell, N, Gillespie, RL, Isaacs, R, Fleischer, SJ, Peterson, SS, Rao, S, Pitts-Singer, TL, Fijen, T, Boreux, V, Rundlof, M, Viana, BF, Klein, A-M, Smith, HG, Bommarco, R, Carvalheiro, LG, Ricketts, TH, Ghazoul, J, Krishnan, S, Benjamin, FE, Loureiro, J, Castro, S, Raine, NE, de Groot, GA, Horgan, FG, Hipolito, J, Smagghe, G, Meeus, I, Eeraerts, M, Potts, SG, Kremen, C, Garcia, D, Minarro, M, Crowder, DW, Pisanty, G, Mandelik, Y, Vereecken, NJ, Leclercq, N, Weekers, T, Lindstrom, SAM, Stanley, DA, Zaragoza-Trello, C, Nicholson, CC, Scheper, J, Rad, C, Marks, EAN, Mota, L, Danforth, B, Park, M, Bezerra, ADM, Freitas, BM, Mallinger, RE, Oliveira da Silva, F, Willcox, B, Ramos, DL, da Silva e Silva, FD, Lazaro, A, Alomar, D, Gonzalez-Estevez, MA, Taki, H, Cariveau, DP, Garratt, MPD, Nabaes Jodar, DN, Stewart, RIA, Ariza, D, Pisman, M, Lichtenberg, EM, Schueepp, C, Herzog, F, Entling, MH, Dupont, YL, Michener, CD, Daily, GC, Ehrlich, PR, Burns, KLW, Vila, M, Robson, A, Howlett, B, Blechschmidt, L, Jauker, F, Schwarzbach, F, Nesper, M, Diekoetter, T, Wolters, V, Castro, H, Gaspar, H, Nault, BA, Badenhausser, I, Petersen, JD, Tscharntke, T, Bretagnolle, V, Willis Chan, DS, Chacoff, N, Andersson, GKS, Jha, S, Colville, JF, Veldtman, R, Coutinho, J, Bianchi, FJJA, Sutter, L, Albrecht, M, Jeanneret, P, Zou, Y, Averill, AL, Saez, A, Sciligo, AR, Vergara, CH, Bloom, EH, Oeller, E, Badano, EI, Loeb, GM, Grab, H, Ekroos, J, Gagic, V, Cunningham, SA, Astrom, J, Cavigliasso, P, Trillo, A, Classen, A, Mauchline, AL, Montero-Castano, A, Wilby, A, Woodcock, BA, Sidhu, CS, Steffan-Dewenter, I, Vogiatzakis, IN, Herrera, JM, Otieno, M, Gikungu, MW, Cusser, SJ, Nauss, T, Nilsson, L, Knapp, J, Ortega-Marcos, JJ, Gonzalez, JA, Osborne, JL, Blanche, R, Shaw, RF, Hevia, V, Stout, J, Arthur, AD, Blochtein, B, Szentgyorgyi, H, Li, J, Mayfield, MM, Woyciechowski, M, Nunes-Silva, P, Halinski de Oliveira, R, Henry, S, Simmons, BI, Dalsgaard, B, Hansen, K, Sritongchuay, T, O'Reilly, AD, Chamorro Garcia, FJ, Nates Parra, G, Magalhaes Pigozo, C, and Bartomeus, I

Abstract

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-2005 (21 studies), 2006-2010 (40), 2011-2015 (88), and 2016-2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this da

Published
2022

14. Multimerin-2 is a ligand for group 14 family C-type lectins CLEC14A, CD93 and CD248 spanning the endothelial pericyte interface

Author

Khan, K A, Naylor, A J, Khan, A, Noy, P J, Mambretti, M, Lodhia, P, Athwal, J, Korzystka, A, Buckley, C D, Willcox, B E, Mohammed, F, Bicknell, R, and Basic (bio-) Medical Sciences

Subjects
Membrane Glycoproteins, Neovascularization, Pathologic, Thrombomodulin, Endothelial Cells, Ligands, Receptors, Complement, Pancreatic Neoplasms, Mice, Antigens, CD, Antigens, Neoplasm, Antigens, Surface, Human Umbilical Vein Endothelial Cells, Animals, Humans, Original Article, Lectins, C-Type, Pericytes, Cell Adhesion Molecules, Protein Binding
Abstract

The C-type lectin domain containing group 14 family members CLEC14A and CD93 are proteins expressed by endothelium and are implicated in tumour angiogenesis. CD248 (alternatively known as endosialin or tumour endothelial marker-1) is also a member of this family and is expressed by tumour-associated fibroblasts and pericytes. Multimerin-2 (MMRN2) is a unique endothelial specific extracellular matrix protein that has been implicated in angiogenesis and tumour progression. We show that the group 14 C-type lectins CLEC14A, CD93 and CD248 directly bind to MMRN2 and only thrombomodulin of the family does not. Binding to MMRN2 is dependent on a predicted long-loop region in the C-type lectin domain and is abrogated by mutation within the domain. CLEC14A and CD93 bind to the same non-glycosylated coiled-coil region of MMRN2, but the binding of CD248 occurs on a distinct non-competing region. CLEC14A and CD248 can bind MMRN2 simultaneously and this occurs at the interface between endothelium and pericytes in human pancreatic cancer. A recombinant peptide of MMRN2 spanning the CLEC14A and CD93 binding region blocks CLEC14A extracellular domain binding to the endothelial cell surface as well as increasing adherence of human umbilical vein endothelial cells to the active peptide. This MMRN2 peptide is anti-angiogenic in vitro and reduces tumour growth in mouse models. These findings identify novel protein interactions involving CLEC14A, CD93 and CD248 with MMRN2 as targetable components of vessel formation.

Published
2017

20. Ectopic cardiovascular fat in middle-aged men: effects of race/ethnicity, overall and central adiposity. The ERA JUMP study

Author

El Khoudary, S R, primary, Shin, C, additional, Masaki, K, additional, Miura, K, additional, Budoff, M, additional, Edmundowicz, D, additional, Kadowaki, S, additional, Barinas-Mitchell, E, additional, El-Saed, A, additional, Fujiyoshi, A, additional, Evans, R W, additional, Hisamatsu, T, additional, Ohkubo, T, additional, Willcox, B J, additional, Kuller, L H, additional, Ueshima, H, additional, and Sekikawa, A, additional

Published
2014
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21. GxE Interactions between FOXO Genotypes and Tea Drinking Are Significantly Associated with Cognitive Disability at Advanced Ages in China

Author

Zeng, Y., primary, Chen, H., additional, Ni, T., additional, Ruan, R., additional, Feng, L., additional, Nie, C., additional, Cheng, L., additional, Li, Y., additional, Tao, W., additional, Gu, J., additional, Land, K. C., additional, Yashin, A., additional, Tan, Q., additional, Yang, Z., additional, Bolund, L., additional, Yang, H., additional, Hauser, E., additional, Willcox, D. C., additional, Willcox, B. J., additional, Tian, X.-L., additional, and Vaupel, J. W., additional

Published
2014
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25. Secondary structure and H, C and N resonance assignments of Skint-1: a selecting ligand for a murine γδ T cell subset implicated in tumour suppression.

Author

Salim, M., Willcox, C., Mohammed, F., Hayday, A., Overduin, M., Willcox, B., and Knowles, T.

Abstract

A study describing the H, C and N backbone and side chain chemical shift assignments and secondary structure of Skint-1 a prototypic member of a family of mouse genes, of which Skint-1 is involved in the development of the dendritic epidermal T cell (DETC) subset of γδ T cells. [ABSTRACT FROM AUTHOR]

Published
2016
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33. Coronary Artery Calcification in Japanese Men in Japan and Hawaii

Author

Abbott, R. D., primary, Ueshima, H., additional, Rodriguez, B. L., additional, Kadowaki, T., additional, Masaki, K. H., additional, Willcox, B. J., additional, Sekikawa, A., additional, Kuller, L. H., additional, Edmundowicz, D., additional, Shin, C., additional, Kashiwagi, A., additional, Nakamura, Y., additional, El-Saed, A., additional, Okamura, T., additional, White, R., additional, and Curb, J. D., additional

Published
2007
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40. Classical and nonclassical class I major histocompatibility complex molecules exhibit subtle conformational differences that affect binding to CD8alphaalpha.

Author

Gao, G F, Willcox, B E, Wyer, J R, Boulter, J M, O'Callaghan, C A, Maenaka, K, Stuart, D I, Jones, E Y, Van Der Merwe, P A, Bell, J I, and Jakobsen, B K

Abstract

The cell surface molecules CD4 and CD8 greatly enhance the sensitivity of T-cell antigen recognition, acting as "co-receptors" by binding to the same major histocompatibility complex (MHC) molecules as the T-cell receptor (TCR). Here we use surface plasmon resonance to study the binding of CD8alphaalpha to class I MHC molecules. CD8alphaalpha bound the classical MHC molecules HLA-A*0201, -A*1101, -B*3501, and -C*0702 with dissociation constants (K(d)) of 90-220 microm, a range of affinities distinctly lower than that of TCR/peptide-MHC interaction. We suggest such affinities apply to most CD8alphaalpha/classical class I MHC interactions and may be optimal for T-cell recognition. In contrast, CD8alphaalpha bound both HLA-A*6801 and B*4801 with a significantly lower affinity (>/=1 mm), consistent with the finding that interactions with these alleles are unable to mediate cell-cell adhesion. Interestingly, CD8alphaalpha bound normally to the nonclassical MHC molecule HLA-G (K(d) approximately 150 microm), but only weakly to the natural killer cell receptor ligand HLA-E (K(d) >/= 1 mm). Site-directed mutagenesis experiments revealed that variation in CD8alphaalpha binding affinity can be explained by amino acid differences within the alpha3 domain. Taken together with crystallographic studies, these results indicate that subtle conformational changes in the solvent exposed alpha3 domain loop (residues 223-229) can account for the differential ability of both classical and nonclassical class I MHC molecules to bind CD8.

Published
2000

41. Complexes of HIV-1 Reverse Transcriptase with Inhibitors of the HEPT Series Reveal Conformational Changes Relevant to the Design of Potent Non-Nucleoside Inhibitors

Author

Hopkins, A. L., Ren, J., Esnouf, R. M., Willcox, B. E., Jones, E. Y., Ross, C., Miyasaka, T., Walker, R. T., Tanaka, H., Stammers, D. K., and Stuart, D. I.

Abstract

Crystal structures of HIV-1 reverse transcriptase (RT) complexed with a range of chemically diverse non-nucleoside inhibitors (NNIs) have shown a single pocket in which the inhibitors bind and details of the inhibitor−protein interactions. To delineate the structural requirements for an effective inhibitor, we have determined the structures of three closely related NNIs which vary widely in their potencies. Crystal structures of HIV-1 RT complexed with two very potent inhibitors, MKC-442 and TNK-651, at 2.55 Å resolution complement our previous analysis of the complex with the less effective inhibitor, HEPT. These structures reveal conformational changes which correlate with changes in potency. We suggest that a major determinant of increased potency in the analogues of HEPT is an improved interaction between residue Tyr181 in the protein and the 6-benzyl ring of the inhibitors which stabilizes the structure of the complex. This arises through a conformational switching of the protein structure triggered by the steric bulk of the 5-substituent of the inhibitor pyrimidine ring.

Published
1996

42. Computation of X-ray Diagnostic Exposure Tables

Author

Dawson, J., Phillips, G. M., and Willcox, B. A. M.

Abstract

A method is described of compiling X-ray diagnostic exposure tables which give exposure factors for a given patient physique. The necessary calculations are based on the method of least squares and have been programmed for an I.C.T. Pegasus digital computer.

Published
1966
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45. Chapter Two - Using non-bee and bee pollinator-plant species interactions to design diverse plantings benefiting crop pollination services.

Author

Howlett, B. G., Todd, J. H., Willcox, B. K., Rader, R., Nelson, W. R., Gee, M., Schmidlin, F. G., Read, S. F. J., Walker, M. K., Gibson, D., and Davidson, M. M.

Subjects
*ECOLOGY periodicals, *POLLINATION by bees, *PLANTING, *INSECT pollinators
Abstract

Protecting, establishing and managing biodiverse semi-natural habitats is one strategy within the concept of ecological intensification of agriculture that supports insect pollinator abundance and diversity in agroecosystems. However, without accounting for species-level relationships between insects, crops and non-crop vegetation, diverse semi-natural habitats may not lead to improved crop pollination, and could create pest reservoirs. Possibly thousands of non-bee insect species contribute to global crop pollination, but research has largely focussed on bees. Thus, key information to best manage habitats that target wider crop pollinator diversity and abundance is lacking. We demonstrate the concept of designing mixed species native plantings (a type of semi-natural habitat) based on plant-insect interactions to increase abundance and diversity of non-bee and bee crop pollinators in an intensively managed agricultural landscape. We used existing refereed and grey literature to identify and anticipate interactions between pollinators, natural enemies and pests with native plants and crop species to design and establish plantings on three farms. We anticipated the designed plantings would support 21 pollinating species, 20 of which were verified in observational surveys 5 years post-establishment. While anticipated bee-plant species interactions were largely confirmed, actual networks of the non-bee pollinators, were larger and more complex than expected, indicating the plantings were particularly effective in supporting these interactions. Most immature life-stages of non-bee pollinators were not directly supported by plantings and separate strategies should consider larval requirements. Presenting the plant-pollinator networks to relevant industries has been a powerful tool for incentivising their support for designed habitats on farms. [ABSTRACT FROM AUTHOR]

Published
2021
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