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Institution

Medical Research Council

GovernmentLondon, United Kingdom
About: Medical Research Council is a government organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Malaria. The organization has 16430 authors who have published 19150 publications receiving 1475494 citations.
Topics: Population, Malaria, Poison control, Gene, Antigen


Papers
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Journal ArticleDOI
TL;DR: Asthmatic epithelial cells have an increased intrinsic capacity for expression of a pro–type 2 cytokine in response to a viral infection, and IL-25 is a key mediator of RV-induced exacerbations of pulmonary inflammation.
Abstract: Rhinoviruses (RVs), which are the most common cause of virally induced asthma exacerbations, account for much of the burden of asthma in terms of morbidity, mortality, and associated cost. Interleukin-25 (IL-25) activates type 2–driven inflammation and is therefore potentially important in virally induced asthma exacerbations. To investigate this, we examined whether RV-induced IL-25 could contribute to asthma exacerbations. RV-infected cultured asthmatic bronchial epithelial cells exhibited a heightened intrinsic capacity for IL-25 expression, which correlated with donor atopic status. In vivo human IL-25 expression was greater in asthmatics at baseline and during experimental RV infection. In addition, in mice, RV infection induced IL-25 expression and augmented allergen-induced IL-25. Blockade of the IL-25 receptor reduced many RV-induced exacerbation-specific responses including type 2 cytokine expression, mucus production, and recruitment of eosinophils, neutrophils, basophils, and T and non-T type 2 cells. Therefore, asthmatic epithelial cells have an increased intrinsic capacity for expression of a pro–type 2 cytokine in response to a viral infection, and IL-25 is a key mediator of RV-induced exacerbations of pulmonary inflammation.

277 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the sensitivity of the rate ratio estimates to the choice of the hyperprior distribution of the dispersion parameter via a simulation study and compared the performance of the FB approach to mapping disease risk to the conventional approach of mapping maximum likelihood (ML) estimates and p-values.
Abstract: In the fully Bayesian (FB) approach to disease mapping the choice of the hyperprior distribution of the dispersion parameter is a key issue. In this context we investigated the sensitivity of the rate ratio estimates to the choice of the hyperprior via a simulation study. We also compared the performance of the FB approach to mapping disease risk to the conventional approach of mapping maximum likelihood (ML) estimates and p-values. The study was modelled on the incidence data of insulin dependent diabetes mellitus (IDDM) as observed in the communes of Sardinia.

277 citations

Journal ArticleDOI
25 Nov 2010-Blood
TL;DR: In vitro sensitivity to the poly (ADP-ribose) polymerase inhibitor olaparib (AZD2281) and a nonobese diabetic/severe combined immunodeficient (NOD/SCID) murine xenograft model of an ATM mutant MCL cell line demonstrated significantly reduced tumor load and an increased survival of animals after olAParib treatment in vivo are suggested.

277 citations

Journal ArticleDOI
TL;DR: The results raise the possibility that estrogens and glucocorticoids could be acting directly on uNK cells through ER beta and GR, respectively, to influence gene transcription in the endometrium and decidua.
Abstract: The endometrium contains a unique subset of uterine-specific natural killer (uNK) cells, the proposed functions of which include a role in decidualization, menstruation, and implantation. These cells increase in number during the mid-late secretory phase of the menstrual cycle and are also present in large numbers in early pregnancy. The cyclical nature of uNK cell appearance suggests hormonal regulation of these cells. To date, it has not been possible to localize either estrogen receptors (ERs) or progesterone receptors (PRs) to uNK cells. In the present study, we have investigated the steroid receptor expression of uNK cells, including not only ER alpha and PR but also wild-type ER beta 1, its variant form ER beta cx/beta 2, and glucocorticoid receptor (GR) using specific monoclonal antibodies and real-time quantitative RT-PCR. mRNA encoding ER alpha, PR, ER beta cx/beta 2, ER beta 1, and GR were identified in extracts of human endometrium across the menstrual cycle and in decidua. Quantitative real-time RT-PCR demonstrated an absence of ER alpha and PR mRNA in purified uNK cells. In contrast, mRNA for ER beta cx/beta 2, ER beta 1, and GR was present in uNK cells. ER alpha, PR, ER beta cx/beta 2, ER beta 1, and GR proteins were identified in endometrial and decidual biopsies. Colocalization using specific monoclonal antibodies confirmed that uNK cells were immunonegative for ER alpha and PR protein. These cells were also immunonegative for ER beta cx/beta 2 but did express ER beta 1 and GR proteins. These results raise the possibility that estrogens and glucocorticoids could be acting directly on uNK cells through ER beta and GR, respectively, to influence gene transcription in the endometrium and decidua.

277 citations

Journal ArticleDOI
TL;DR: The data support a hypothesis where the pfmdr1 gene confers a true multidrug resistance phenotype which is lost by mutation, and an intragenic association was found between a polymorphism in the polyasparagine linker region of pfmDr1 and the tyr-86 allele, which may be due to genetic hitchhiking, indicative of recent selection by chloroquine.

276 citations


Authors

Showing all 16441 results

NameH-indexPapersCitations
Shizuo Akira2611308320561
Trevor W. Robbins2311137164437
Richard A. Flavell2311328205119
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Martin White1962038232387
Frank E. Speizer193636135891
Michael Rutter188676151592
Richard Peto183683231434
Terrie E. Moffitt182594150609
Kay-Tee Khaw1741389138782
Chris D. Frith173524130472
Phillip A. Sharp172614117126
Avshalom Caspi170524113583
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20229
2021262
2020243
2019231
2018309