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Martin R Turner

Bio: Martin R Turner is an academic researcher from University of Oxford. The author has contributed to research in topics: Amyotrophic lateral sclerosis & RNA-binding protein. The author has an hindex of 98, co-authored 503 publications receiving 34965 citations. Previous affiliations of Martin R Turner include University College London & Drexel University.


Papers
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Journal ArticleDOI
27 Apr 2007-Science
TL;DR: It is shown that mice deficient for bic/microRNA-155 are immunodeficient and display increased lung airway remodeling, and suggests that bic-micro RNA-155 plays a key role in the homeostasis and function of the immune system.
Abstract: MicroRNAs are a class of small RNAs that are increasingly being recognized as important regulators of gene expression. Although hundreds of microRNAs are present in the mammalian genome, genetic studies addressing their physiological roles are at an early stage. We have shown that mice deficient for bic/microRNA-155 are immunodeficient and display increased lung airway remodeling. We demonstrate a requirement of bic/microRNA-155 for the function of B and T lymphocytes and dendritic cells. Transcriptome analysis of bic/microRNA-155–deficient CD4+ T cells identified a wide spectrum of microRNA-155–regulated genes, including cytokines, chemokines, and transcription factors. Our work suggests that bic/microRNA-155 plays a key role in the homeostasis and function of the immune system.

1,880 citations

Journal ArticleDOI
12 Mar 2011
TL;DR: This paper summarized current concepts about the origin of the disease, what predisposes patients to develop the disorder, and discuss why all cases of ALS are not the same, focusing on the small steps of extending longevity, improving therapies, undertaking clinical trials, and compiling population registries to the overarching goals of establishing the measures that guard against onset and finding the triggers for this neurodegenerative disorder.
Abstract: Amyotrophic lateral sclerosis (ALS) is an idiopathic, fatal neurodegenerative disease of the human motor system. In this Seminar, we summarise current concepts about the origin of the disease, what predisposes patients to develop the disorder, and discuss why all cases of ALS are not the same. In the 150 years since Charcot originally described ALS, painfully slow progress has been made towards answering these questions. We focus on what is known about ALS and where research is heading-from the small steps of extending longevity, improving therapies, undertaking clinical trials, and compiling population registries to the overarching goals of establishing the measures that guard against onset and finding the triggers for this neurodegenerative disorder.

1,737 citations

Journal ArticleDOI
Aravinthan Varatharaj1, Aravinthan Varatharaj2, Naomi Thomas3, Mark Ellul4, Mark Ellul5, Mark Ellul6, Nicholas W. S. Davies, Thomas A Pollak7, Elizabeth L Tenorio8, Mustafa Sultan3, Ava Easton5, Gerome Breen7, Michael S. Zandi9, Jonathan P. Coles10, Hadi Manji9, Rustam Al-Shahi Salman11, David K. Menon10, Timothy R Nicholson7, Laura A Benjamin5, Laura A Benjamin9, Alan Carson11, Craig J. Smith12, Martin R Turner13, Tom Solomon6, Tom Solomon5, Tom Solomon4, Rachel Kneen6, Rachel Kneen5, Sarah Pett14, Ian Galea1, Ian Galea2, Rhys H. Thomas15, Rhys H. Thomas3, Benedict D Michael6, Benedict D Michael5, Benedict D Michael4, Claire Allen, Neil Archibald, James Arkell, Peter Arthur-Farraj, Mark R. Baker, Harriet A. Ball, Verity Bradley-Barker, Zoe Brown, Stefania Bruno, Lois Carey, Christopher Carswell, Annie Chakrabarti, James Choulerton, Mazen Daher, Ruth Davies, Rafael Di Marco Barros, Sofia Dima, Rachel Dunley, Dipankar Dutta, Richard James Booth Ellis, Alex Everitt, Joseph Fady, Patricia Fearon, Leonora Fisniku, Ivie Gbinigie, Alan Gemski, Emma Gillies, Effrossyni Gkrania-Klotsas, Julie Grigg, Hisham Hamdalla, Jack Hubbett, Neil Hunter, Anne-Catherine Huys, Ihmoda Ihmoda, Sissi Ispoglou, Ashwani Jha, Ramzi Joussi, Dheeraj Kalladka, Hind Khalifeh, Sander Kooij, Guru Kumar, Sandar Kyaw, Lucia Li, Edward Littleton, Malcolm R. Macleod, Mary Joan MacLeod, Barbara Madigan, Vikram Mahadasa, Manonmani Manoharan, Richard Marigold, Isaac Marks, Paul M. Matthews, Michael Mccormick, Caroline Mcinnes, Antonio Metastasio, Philip Milburn-McNulty, Clinton Mitchell, Duncan Mitchell, Clare Morgans, Huw R. Morris, Jasper M. Morrow, Ahmed Mubarak Mohamed, Paula Mulvenna, Louis Murphy, Robert Namushi, Edward J Newman, Wendy Phillips, Ashwin Pinto, David A Price, Harald Proschel, Terry Quinn, Deborah Ramsey, Christine Roffe, Amy L Ross Russell, Neshika Samarasekera, Stephen Sawcer, Walee Sayed, Lakshmanan Sekaran, Jordi Serra-Mestres, Victoria K. Snowdon, Gayle Strike, James Sun, Christina Tang, Mark Vrana, Ryckie G. Wade, Chris Wharton, Lou Wiblin, Iryna Boubriak, Katie Herman, Gordon T. Plant 
TL;DR: This is the first nationwide, cross-specialty surveillance study of acute neurological and psychiatric complications of COVID-19 and provides valuable and timely data that are urgently needed by clinicians, researchers, and funders.

990 citations

Journal ArticleDOI
TL;DR: The data indicate that IL6 is generated constitutively in RA and its overproduction may explain the local as well as the generalized symptoms of RA, since IL6 can function as B cell growth and differentiation factor aswell as hepatocyte‐stimulating factor.
Abstract: High levels of interleukin 6 (IL 6/B cell stimulatory factor-2) were detected in synovial fluids from the joints of patients with active rheumatoid arthritis (RA). The cells found in freshly isolated synovial fluid constitutively expressed IL 6 mRNA. The synovial tissues obtained by joint biopsy were also found to produce IL 6 in vitro. Immunohistochemical analysis demonstrated that CD2+ T cells as well as CD20+ blastoid B cells in the synovial tissues produce IL 6. The data indicate that IL 6 is generated constitutively in RA and its overproduction may explain the local as well as the generalized symptoms of RA, since IL 6 can function as B cell growth and differentiation factor as well as hepatocyte-stimulating factor.

802 citations

Journal ArticleDOI
21 Dec 2007-Immunity
TL;DR: The intrinsic requirement for miR-155 is shown in B cell responses to thymus-dependent and -independent antigens and implicate post-transcriptional regulation of gene expression for establishing the terminal differentiation program of B cells.

789 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
23 Jan 2009-Cell
TL;DR: The current understanding of miRNA target recognition in animals is outlined and the widespread impact of miRNAs on both the expression and evolution of protein-coding genes is discussed.

18,036 citations

01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal ArticleDOI
TL;DR: This work overhauled its tool for finding preferential conservation of sequence motifs and applied it to the analysis of human 3'UTRs, increasing by nearly threefold the detected number of preferentially conserved miRNA target sites.
Abstract: MicroRNAs (miRNAs) are small endogenous RNAs that pair to sites in mRNAs to direct post-transcriptional repression. Many sites that match the miRNA seed (nucleotides 2–7), particularly those in 3 untranslated regions (3UTRs), are preferentially conserved. Here, we overhauled our tool for finding preferential conservation of sequence motifs and applied it to the analysis of human 3UTRs, increasing by nearly threefold the detected number of preferentially conserved miRNA target sites. The new tool more efficiently incorporates new genomes and more completely controls for background conservation by accounting for mutational biases, dinucleotide conservation rates, and the conservation rates of individual UTRs. The improved background model enabled preferential conservation of a new site type, the “offset 6mer,” to be detected. In total, >45,000 miRNA target sites within human 3UTRs are conserved above background levels, and >60% of human protein-coding genes have been under selective pressure to maintain pairing to miRNAs. Mammalian-specific miRNAs have far fewer conserved targets than do the more broadly conserved miRNAs, even when considering only more recently emerged targets. Although pairing to the 3 end of miRNAs can compensate for seed mismatches, this class of sites constitutes less than 2% of all preferentially conserved sites detected. The new tool enables statistically powerful analysis of individual miRNA target sites, with the probability of preferentially conserved targeting (PCT) correlating with experimental measurements of repression. Our expanded set of target predictions (including conserved 3-compensatory sites), are available at the TargetScan website, which displays the PCT for each site and each predicted target.

7,744 citations

Journal ArticleDOI
12 Aug 2015-eLife
TL;DR: It is shown that recently reported non-canonical sites do not mediate repression despite binding the miRNA, which indicates that the vast majority of functional sites are canonical.
Abstract: Proteins are built by using the information contained in molecules of messenger RNA (mRNA). Cells have several ways of controlling the amounts of different proteins they make. For example, a so-called ‘microRNA’ molecule can bind to an mRNA molecule to cause it to be more rapidly degraded and less efficiently used, thereby reducing the amount of protein built from that mRNA. Indeed, microRNAs are thought to help control the amount of protein made from most human genes, and biologists are working to predict the amount of control imparted by each microRNA on each of its mRNA targets. All RNA molecules are made up of a sequence of bases, each commonly known by a single letter—‘A’, ‘U’, ‘C’ or ‘G’. These bases can each pair up with one specific other base—‘A’ pairs with ‘U’, and ‘C’ pairs with ‘G’. To direct the repression of an mRNA molecule, a region of the microRNA known as a ‘seed’ binds to a complementary sequence in the target mRNA. ‘Canonical sites’ are regions in the mRNA that contain the exact sequence of partner bases for the bases in the microRNA seed. Some canonical sites are more effective at mRNA control than others. ‘Non-canonical sites’ also exist in which the pairing between the microRNA seed and mRNA does not completely match. Previous work has suggested that many non-canonical sites can also control mRNA degradation and usage. Agarwal et al. first used large experimental datasets from many sources to investigate microRNA activity in more detail. As expected, when mRNAs had canonical sites that matched the microRNA, mRNA levels and usage tended to drop. However, no effect was observed when the mRNAs only had recently identified non-canonical sites. This suggests that microRNAs primarily bind to canonical sites to control protein production. Based on these results, Agarwal et al. further developed a statistical model that predicts the effects of microRNAs binding to canonical sites. The updated model considers 14 different features of the microRNA, microRNA site, or mRNA—including the mRNA sequence around the site—to predict which sites within mRNAs are most effectively targeted by microRNAs. Tests showed that Agarwal et al.'s model was as good as experimental approaches at identifying the effective target sites, and was better than existing computational models. The model has been used to power the latest version of a freely available resource called TargetScan, and so could prove a valuable resource for researchers investigating the many important roles of microRNAs in controlling protein production.

5,365 citations