👤 Daniel Stephen Biggs

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4
Articles
3
Name variants
Also published as: Emma K Biggs, Mary L Biggs
articles
Benjamin Davies, Lucy Trelfa, Victoria S Rashbrook +8 more · 2024 · Transgenic research · Springer · added 2026-04-24
Mouse models with complex genetic backgrounds are increasingly used in preclinical research to accurately model human disease and to enable temporal and cell-specific evaluation of genetic manipulatio Show more
Mouse models with complex genetic backgrounds are increasingly used in preclinical research to accurately model human disease and to enable temporal and cell-specific evaluation of genetic manipulations. Backcrossing mice onto these complex genetic backgrounds takes time and leads to significant wastage of animals. In this study, we aimed to evaluate whether site-specific nucleases could be used to generate additional genetic mutations in a complex genetic background, using the REVERSA mouse model of atherosclerosis, a model harbouring four genetically altered alleles. The model is comprised of a functional null mutation in the Ldlr gene in combination with a ApoB100 allele, which, after high-fat diet, leads to the rapid development of atherosclerosis. The regression of the pathology is achieved by inducible knock-out of the Mttp gene. Here we report an investigation to establish if microinjection of site-specific nucleases directly into zygotes prepared from the REVERSA could be used to investigate the role of the ATP binding cassette transporter G1 (ABCG1) in atherosclerosis regression. We show that using this approach we could successfully generate two independent knockout lines on the REVERSA background, both of which exhibited the expected phenotype of a significant reduction in cholesterol efflux to HDL in bone marrow-derived macrophages. However, loss of Abcg1 did not impact atherosclerosis regression in either the aortic root or in aortic arch, demonstrating no important role for this transporter subtype. We have demonstrated that site-specific nucleases can be used to create genetic modifications directly onto complex disease backgrounds and can be used to explore gene function without the need for laborious backcrossing of independent strains, conveying a significant 3Rs advantage. Show less
📄 PDF DOI: 10.1007/s11248-024-00399-5
APOB
R Thomas Lumbers, Sonia Shah, Honghuang Lin +172 more · 2021 · ESC heart failure · Wiley · added 2026-04-24
R Thomas Lumbers, Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I Swerdlow, Anders Mälarstig, Charlotte Andersson, Niek Verweij, Michael V Holmes, Johan Ärnlöv, Per Svensson, Harry Hemingway, Neneh Sallah, Peter Almgren, Krishna G Aragam, Geraldine Asselin, Joshua D Backman, Mary L Biggs, Heather L Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R Brown, Hans-Peter Brunner-La Rocca, David J Carey, Mark D Chaffin, Daniel I Chasman, Olympe Chazara, Xing Chen, Xu Chen, Jonathan H Chung, William Chutkow, John G F Cleland, James P Cook, Simon de Denus, Abbas Dehghan, Graciela E Delgado, Spiros Denaxas, Alexander S Doney, Marcus Dörr, Samuel C Dudley, Gunnar Engström, Tõnu Esko, Ghazaleh Fatemifar, Stephan B Felix, Chris Finan, Ian Ford, Francoise Fougerousse, René Fouodjio, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S Gottdiener, Stefan Gross, Daníel F Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Christopher M Haggerty, Pim Van der Harst, Åsa K Hedman, Anna Helgadottir, Hans Hillege, Craig L Hyde, Jaison Jacob, J Wouter Jukema, Frederick Kamanu, Isabella Kardys, Maryam Kavousi, Kay-Tee Khaw, Marcus E Kleber, Lars Køber, Andrea Koekemoer, Bill Kraus, Karoline Kuchenbaecker, Claudia Langenberg, Lars Lind, Cecilia M Lindgren, Barry London, Luca A Lotta, Ruth C Lovering, Jian'an Luan, Patrik Magnusson, Anubha Mahajan, Douglas Mann, Kenneth B Margulies, Nicholas A Marston, Winfried März, John J V McMurray, Olle Melander, Giorgio Melloni, Ify R Mordi, Michael P Morley, Andrew D Morris, Andrew P Morris, Alanna C Morrison, Michael W Nagle, Christopher P Nelson, Christopher Newton-Cheh, Alexander Niessner, Teemu Niiranen, Christoph Nowak, Michelle L O'Donoghue, Anjali T Owens, Colin N A Palmer, Guillaume Paré, Markus Perola, Louis-Philippe Lemieux Perreault, Eliana Portilla-Fernandez, Bruce M Psaty, Kenneth M Rice, Paul M Ridker, Simon P R Romaine, Carolina Roselli, Jerome I Rotter, Christian T Ruff, Marc S Sabatine, Perttu Salo, Veikko Salomaa, Jessica van Setten, Alaa A Shalaby, Diane T Smelser, Nicholas L Smith, Kari Stefansson, Steen Stender, David J Stott, Garðar Sveinbjörnsson, Mari-Liis Tammesoo, Jean-Claude Tardif, Kent D Taylor, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Stella Trompet, Danny Tuckwell, Benoit Tyl, Andre G Uitterlinden, Felix Vaura, Abirami Veluchamy, Peter M Visscher, Uwe Völker, Adriaan A Voors, Xiaosong Wang, Nicholas J Wareham, Peter E Weeke, Raul Weiss, Harvey D White, Kerri L Wiggins, Heming Xing, Jian Yang, Yifan Yang, Laura M Yerges-Armstrong, Bing Yu, Faiez Zannad, Faye Zhao, Regeneron Genetics Center, Jemma B Wilk, Hilma Holm, Naveed Sattar, Steven A Lubitz, David E Lanfear, Svati Shah, Michael E Dunn, Quinn S Wells, Folkert W Asselbergs, Aroon D Hingorani, Marie-Pierre Dubé, Nilesh J Samani, Chim C Lang, Thomas P Cappola, Patrick T Ellinor, Ramachandran S Vasan, J Gustav Smith Show less
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies fro Show more
The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10 HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Show less
📄 PDF DOI: 10.1002/ehf2.13517
CETP
Alice E Adriaenssens, Emma K Biggs, Tamana Darwish +12 more · 2019 · Cell metabolism · Elsevier · added 2026-04-24
Ambiguity regarding the role of glucose-dependent insulinotropic polypeptide (GIP) in obesity arises from conflicting reports asserting that both GIP receptor (GIPR) agonism and antagonism are effecti Show more
Ambiguity regarding the role of glucose-dependent insulinotropic polypeptide (GIP) in obesity arises from conflicting reports asserting that both GIP receptor (GIPR) agonism and antagonism are effective strategies for inhibiting weight gain. To enable identification and manipulation of Gipr-expressing (Gipr) cells, we created Gipr-Cre knockin mice. As GIPR-agonists have recently been reported to suppress food intake, we aimed to identify central mediators of this effect. Gipr cells were identified in the arcuate, dorsomedial, and paraventricular nuclei of the hypothalamus, as confirmed by RNAscope in mouse and human. Single-cell RNA-seq identified clusters of hypothalamic Gipr cells exhibiting transcriptomic signatures for vascular, glial, and neuronal cells, the latter expressing somatostatin but little pro-opiomelanocortin or agouti-related peptide. Activation of G Show less
📄 PDF DOI: 10.1016/j.cmet.2019.07.013
GIPR
Emma K Biggs, Lihuan Liang, Jacqueline Naylor +8 more · 2018 · Diabetologia · Springer · added 2026-04-24
Glucagon like peptide-1 (GLP-1) enhances glucose-dependent insulin secretion by binding to GLP-1 receptors (GLP1Rs) on pancreatic beta cells. GLP-1 mimetics are used in the clinic for the treatment of Show more
Glucagon like peptide-1 (GLP-1) enhances glucose-dependent insulin secretion by binding to GLP-1 receptors (GLP1Rs) on pancreatic beta cells. GLP-1 mimetics are used in the clinic for the treatment of type 2 diabetes, but despite their therapeutic success, several clinical effects of GLP-1 remain unexplained at a mechanistic level, particularly in extrapancreatic tissues. The aim of this study was to generate and characterise a monoclonal antagonistic antibody for the GLP1R for use in vivo. A naive phage display selection strategy was used to isolate single-chain variable fragments (ScFvs) that bound to GLP1R. The ScFv with the highest affinity, Glp1R0017, was converted into a human IgG1 and characterised further. In vitro antagonistic activity was assessed in a number of assays: a cAMP-based homogenous time-resolved fluorescence assay in GLP1R-overexpressing cell lines, a live cell cAMP imaging assay and an insulin secretion assay in INS-1 832/3 cells. Glp1R0017 was further tested in immunostaining of mouse pancreas, and the ability of Glp1R0017 to block GLP1R in vivo was assessed by both IPGTT and OGTT in C57/Bl6 mice. Antibodies to GLP1R were selected from naive antibody phage display libraries. The monoclonal antibody Glp1R0017 antagonised mouse, human, rat, cynomolgus monkey and dog GLP1R. This antagonistic activity was specific to GLP1R; no antagonistic activity was found in cells overexpressing the glucose-dependent insulinotropic peptide receptor (GIPR), glucagon like peptide-2 receptor or glucagon receptor. GLP-1-stimulated cAMP and insulin secretion was attenuated in INS-1 832/3 cells by Glp1R0017 incubation. Immunostaining of mouse pancreas tissue with Glp1R0017 showed specific staining in the islets of Langerhans, which was absent in Glp1r knockout tissue. In vivo, Glp1R0017 reversed the glucose-lowering effect of liraglutide during IPGTTs, and reduced glucose tolerance by blocking endogenous GLP-1 action in OGTTs. Glp1R0017 is a monoclonal antagonistic antibody to the GLP1R that binds to GLP1R on pancreatic beta cells and blocks the actions of GLP-1 in vivo. This antibody holds the potential to be used in investigating the physiological importance of GLP1R signalling in extrapancreatic tissues where cellular targets and signalling pathways activated by GLP-1 are poorly understood. Show less
no PDF DOI: 10.1007/s00125-017-4491-0
GIPR