230 research outputs found

    Racial segregation in London.

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    Some ethnic minority groups are segregated in London, and face both direct and indirect discrimination. The thesis explores the extent to which there is institutional discrimination in the planning system, and what local planning authorities are, and could be doing, to prevent themselves from unintentionally discriminating against ethnic minorities. Immigration and race relations legislation has shaped the history of twentieth century immigration and the current distribution of ethnic minorities in London. The theory and debates surrounding the segregation and integration of ethnic minorities are summarised, as are as ways of measuring degrees of segregation. Four areas of ethnic minority concentration in London, Waxlow in Ealing, Roundwood in Brent, St Peter's in Tower Hamlets and Dalston in Hackney are described in terms of their populations, the problems facing them, and the local policies which affect ethnic minorities in housing, employment, education and land use. It is important to establish to what extent ethnic minorities (particularly non-white ethnic minorities) are still discriminated against in housing, employment and education, (through the "colour bar"), and how this affects the process of ethnic segregation. Ethnic minorities are discriminated against (usually unintentionally) by the planning system, simply by it taking a "colour-blind" approach, treating all groups' needs as the same. To some extent planning authorities are now seeking to take account of the needs of ethnic minorities, although it is still a low priority for most. Recommendations are made for better practice by the DoE, CRE, RTPI, and local authorities, affecting plan-making, monitoring, and development control procedures

    A Historical Sociology of Teargas in Britain and the Empire, 1925-1965

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    Teargas has followed a markedly different trajectory to its chemical weapons (CW) counterparts over the twentieth century. While the Geneva Protocol of 1925 and the 1993 Chemical Weapons Convention prohibited chemical agents as means of warfare, from the early interwar period teargas gained legitimacy as a technology for domestic policing across the world. Moreover, this role in domestic riot control later became a means for some states to justify its use in military operations. This PhD therefore asks: how did teargas, in the case of British policy, become associated with riot control and policing in the twentieth century, yet prohibited as a means of warfare? Drawing from key concepts in STS and related social sciences, I argue that we can take the technical characteristics of ‘teargas’ (its ‘non-lethality’ or low toxicity) as being co-produced with its social role as a crowd control agent. Furthermore, I argue that by doing so we gain insight into how the ‘non-lethal’ status of teargas was situated within a ‘civilising’ governmentality in Britain. This governmentality both legitimated, and was legitimated by, the authority of scientific expertise. The thesis makes this argument by tracing a historical sociology of teargas in Britain and the empire from 1925 to 1965. Using declassified records from the UK National Archives and sources from newspaper archives, it examines three significant moments in Britain’s construction of teargas as a domestic technology. The first addresses the initial transition from military to colonial policing contexts that teargas made in British policy during the interwar period; the second focuses on Britain’s first use of teargas on populations within the UK during civil defence gas tests during WWII; the third traces the widespread use of teargas throughout the empire from WWII until 1965, examining the emergence of CS gas with the conception of riot control later in this period. Ultimately, I contend that CS, the ‘teargas’ of our contemporary moment, emerged from a sociotechnical imaginary of non-lethal chemical control grounded in ‘civilising’ modes of techno-politics

    Transient Activation of Meox1 Is an Early Component of the Gene Regulatory Network Downstream of Hoxa2

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    Hox genes encode transcription factors that regulate morphogenesis in all animals with bilateral symmetry. Although Hox genes have been extensively studied, their molecular function is not clear in vertebrates, and only a limited number of genes regulated by Hox transcription factors have been identified. Hoxa2 is required for correct development of the second branchial arch, its major domain of expression. We now show that Meox1 is genetically downstream from Hoxa2 and is a direct target. Meox1 expression is downregulated in the second arch of Hoxa2 mouse mutant embryos. In chromatin immunoprecipitation (ChIP), Hoxa2 binds to the Meox1 proximal promoter. Two highly conserved binding sites contained in this sequence are required for Hoxa2-dependent activation of the Meox1 promoter. Remarkably, in the absence of Meox1 and its close homolog Meox2, the second branchial arch develops abnormally and two of the three skeletal elements patterned by Hoxa2 are malformed. Finally, we show that Meox1 can specifically bind the DNA sequences recognized by Hoxa2 on its functional target genes. These results provide new insight into the Hoxa2 regulatory network that controls branchial arch identity.BBSRC grant: (BB/E017355/1); Manchester Academic Health Science Centre; Manchester NIHR Biomedical Research Centre; FCT grant: (PTDC/BIA-BCM/71619/2006); Centro de Biologia do Desenvolvimento grant: (POCTI-ISFL-4-664)

    MODBASE, a database of annotated comparative protein structure models and associated resources.

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    MODBASE (http://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by MODPIPE, an automated modeling pipeline that relies primarily on MODELLER for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE currently contains 5,152,695 reliable models for domains in 1,593,209 unique protein sequences; only models based on statistically significant alignments and/or models assessed to have the correct fold are included. MODBASE also allows users to calculate comparative models on demand, through an interface to the MODWEB modeling server (http://salilab.org/modweb). Other resources integrated with MODBASE include databases of multiple protein structure alignments (DBAli), structurally defined ligand binding sites (LIGBASE), predicted ligand binding sites (AnnoLyze), structurally defined binary domain interfaces (PIBASE) and annotated single nucleotide polymorphisms and somatic mutations found in human proteins (LS-SNP, LS-Mut). MODBASE models are also available through the Protein Model Portal (http://www.proteinmodelportal.org/)

    Fat4-Dchs1 signalling controls cell proliferation in developing vertebrae

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    The protocadherins Fat4 and Dchs1 act as a receptor-ligand pair to regulate many developmental processes in mice and humans, including development of the vertebrae. Based on conservation of function between Drosophila and mammals, Fat4-Dchs1 signalling has been proposed to regulate planar cell polarity (PCP) and activity of the Hippo effectors Yap and Taz, which regulate cell proliferation, survival and differentiation. There is strong evidence for Fat regulation of PCP in mammals but the link with the Hippo pathway is unclear. In Fat4(−/−) and Dchs1(−/−) mice, many vertebrae are split along the midline and fused across the anterior-posterior axis, suggesting that these defects might arise due to altered cell polarity and/or changes in cell proliferation/differentiation. We show that the somite and sclerotome are specified appropriately, the transcriptional network that drives early chondrogenesis is intact, and that cell polarity within the sclerotome is unperturbed. We find that the key defect in Fat4 and Dchs1 mutant mice is decreased proliferation in the early sclerotome. This results in fewer chondrogenic cells within the developing vertebral body, which fail to condense appropriately along the midline. Analysis of Fat4;Yap and Fat4;Taz double mutants, and expression of their transcriptional target Ctgf, indicates that Fat4-Dchs1 regulates vertebral development independently of Yap and Taz. Thus, we have identified a new pathway crucial for the development of the vertebrae and our data indicate that novel mechanisms of Fat4-Dchs1 signalling have evolved to control cell proliferation within the developing vertebrae

    Integrated Analyses of microRNAs Demonstrate Their Widespread Influence on Gene Expression in High-Grade Serous Ovarian Carcinoma

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    The Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations in 487 high-grade serous ovarian cancers, with much remaining to be elucidated regarding the microRNAs (miRNAs). Here, using TCGA ovarian data, we surveyed the miRNAs, in the context of their predicted gene targets.Integration of miRNA and gene patterns yielded evidence that proximal pairs of miRNAs are processed from polycistronic primary transcripts, and that intronic miRNAs and their host gene mRNAs derive from common transcripts. Patterns of miRNA expression revealed multiple tumor subtypes and a set of 34 miRNAs predictive of overall patient survival. In a global analysis, miRNA:mRNA pairs anti-correlated in expression across tumors showed a higher frequency of in silico predicted target sites in the mRNA 3'-untranslated region (with less frequency observed for coding sequence and 5'-untranslated regions). The miR-29 family and predicted target genes were among the most strongly anti-correlated miRNA:mRNA pairs; over-expression of miR-29a in vitro repressed several anti-correlated genes (including DNMT3A and DNMT3B) and substantially decreased ovarian cancer cell viability.This study establishes miRNAs as having a widespread impact on gene expression programs in ovarian cancer, further strengthening our understanding of miRNA biology as it applies to human cancer. As with gene transcripts, miRNAs exhibit high diversity reflecting the genomic heterogeneity within a clinically homogeneous disease population. Putative miRNA:mRNA interactions, as identified using integrative analysis, can be validated. TCGA data are a valuable resource for the identification of novel tumor suppressive miRNAs in ovarian as well as other cancers

    High Quality Genomic Copy Number Data from Archival Formalin-Fixed Paraffin-Embedded Leiomyosarcoma: Optimisation of Universal Linkage System Labelling

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    Most soft tissue sarcomas are characterized by genetic instability and frequent genomic copy number aberrations that are not subtype-specific. Oligonucleotide microarray-based Comparative Genomic Hybridisation (array CGH) is an important technique used to map genome-wide copy number aberrations, but the traditional requirement for high-quality DNA typically obtained from fresh tissue has limited its use in sarcomas. Although large archives of Formalin-fixed Paraffin-embedded (FFPE) tumour samples are available for research, the degradative effects of formalin on DNA from these tissues has made labelling and analysis by array CGH technically challenging. The Universal Linkage System (ULS) may be used for a one-step chemical labelling of such degraded DNA. We have optimised the ULS labelling protocol to perform aCGH on archived FFPE leiomyosarcoma tissues using the 180k Agilent platform. Preservation age of samples ranged from a few months to seventeen years and the DNA showed a wide range of degradation (when visualised on agarose gels). Consistently high DNA labelling efficiency and low microarray probe-to-probe variation (as measured by the derivative log ratio spread) was seen. Comparison of paired fresh and FFPE samples from identical tumours showed good correlation of CNAs detected. Furthermore, the ability to macro-dissect FFPE samples permitted the detection of CNAs that were masked in fresh tissue. Aberrations were visually confirmed using Fluorescence in situ Hybridisation. These results suggest that archival FFPE tissue, with its relative abundance and attendant clinical data may be used for effective mapping for genomic copy number aberrations in such rare tumours as leiomyosarcoma and potentially unravel clues to tumour origins, progression and ultimately, targeted treatment

    Time to Recurrence and Survival in Serous Ovarian Tumors Predicted from Integrated Genomic Profiles

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    Serous ovarian cancer (SeOvCa) is an aggressive disease with differential and often inadequate therapeutic outcome after standard treatment. The Cancer Genome Atlas (TCGA) has provided rich molecular and genetic profiles from hundreds of primary surgical samples. These profiles confirm mutations of TP53 in ∼100% of patients and an extraordinarily complex profile of DNA copy number changes with considerable patient-to-patient diversity. This raises the joint challenge of exploiting all new available datasets and reducing their confounding complexity for the purpose of predicting clinical outcomes and identifying disease relevant pathway alterations. We therefore set out to use multi-data type genomic profiles (mRNA, DNA methylation, DNA copy-number alteration and microRNA) available from TCGA to identify prognostic signatures for the prediction of progression-free survival (PFS) and overall survival (OS). prediction algorithm and applied it to two datasets integrated from the four genomic data types. We (1) selected features through cross-validation; (2) generated a prognostic index for patient risk stratification; and (3) directly predicted continuous clinical outcome measures, that is, the time to recurrence and survival time. We used Kaplan-Meier p-values, hazard ratios (HR), and concordance probability estimates (CPE) to assess prediction performance, comparing separate and integrated datasets. Data integration resulted in the best PFS signature (withheld data: p-value = 0.008; HR = 2.83; CPE = 0.72).We provide a prediction tool that inputs genomic profiles of primary surgical samples and generates patient-specific predictions for the time to recurrence and survival, along with outcome risk predictions. Using integrated genomic profiles resulted in information gain for prediction of outcomes. Pathway analysis provided potential insights into functional changes affecting disease progression. The prognostic signatures, if prospectively validated, may be useful for interpreting therapeutic outcomes for clinical trials that aim to improve the therapy for SeOvCa patients
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