982 resultados para Lalor, F. R. (Francis Ramsey), 1856-1929


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F.R. [Francis Ramsey] Lalor (1856-1929) was born in St. Catharines, Ont. but lived most of his life in Dunnville, Haldimand County, Ont. He was a merchant and manufacturer. In 1903 he and a few partners founded the Monarch Knitting Co. Lalor was also an exporter of hardwood ashes used for agricultural purposes as fertilizer. Lalor was active in politics, he was a Conservative and the member of parliament for Haldimand, having been elected in the 1904, 1908, 1911 and 1917 elections. William Jaques lived in Simcoe, Norfolk County, Ontario. He was a junk dealer by profession.

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[From Jasper Cropsey Sketch book, 1855-1856]

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taʼlīf Abī ʻAbd Allāh Muḥammad ibn al-Rashīd al-Ḥusaynī al-ʻIrqī.

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Edited by J. Gwenogvryn Evans.

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Includes bibliographical references.

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1. Centroniae or radiated animals / by J.E. Gray.--3. Birds / by George Robert Gray.--4. Crustacea / by Adam White.--5.Lepidoptera / by James Francis Stephens - 1850.--5. Lepidoptera / by James Francis Stephens - 1856.--Hymenoptera Aculeata / by Frederick Smith.--7. Mollusca Acephala and Brachiopoda / by J.E. Gray.--8. Fish / by Adam White.--9. Eggs of British birds / by G.R. Gray.--10. Lipidoptera (continued) / by James Francis Stephens.--11. Anoplura, or parasitic insects / by H. Denny.--12. Lepidoptera (continued) / by James Francis Stephens.--13. Nomenclature of Hymenoptera / by Frederick Smith.--14. Nomenclature of Neuroptera / by Adam White.--15. Nomenclature of Diptera 1 / by Adam White.--16. Lepidoptera (completed) / by H.T. Stainton.

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Mode of access: Internet.

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In maroon smooth cloth, lettered in gold on front cover and spine.

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Plates VI-VII accompanied by guard sheet with descriptive letterpress.

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This guide canvasses a range of practice strategies and interventions utilised by workers and services who engage with young people experiencing problematic AOD use whilst also exploring the many and varied challenges associated with this type of work.

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Background: Cancer metastasis is the main contributor to breast cancer fatalities as women with the metastatic disease have poorer survival outcomes than women with localised breast cancers. There is an urgent need to develop appropriate prognostic methods to stratify patients based on the propensities of their cancers to metastasise. The insulin-like growth factor (IGF)-I:IGF binding protein (IGFBP):vitronectin complexes have been shown to stimulate changes in gene expression favouring increased breast cancer cell survival and a migratory phenotype. We therefore investigated the prognostic potential of these IGF- and extracellular matrix (ECM) interaction-induced proteins in the early identification of breast cancers with a propensity to metastasise using patient-derived tissue microarrays. Methods: Semiquantitative immunohistochemistry analyses were performed to compare the extracellular and subcellular distribution of IGF- and ECM-induced signalling proteins among matched normal, primary cancer and metastatic cancer formalin-fixed paraffin-embedded breast tissue samples. Results: The IGF- and ECM-induced signalling proteins were differentially expressed between subcellular and extracellular localisations. Vitronectin and IGFBP-5 immunoreactivity was lower while β1 integrin immunoreactivity was higher in the stroma surrounding metastatic cancer tissues, as compared to normal breast and primary cancer stromal tissues. Similarly, immunoreactive stratifin was found to be increased in the stroma of primary as well as metastatic breast tissues. Immunoreactive fibronectin and β1 integrin was found to be highly expressed at the leading edge of tumours. Based on the immunoreactivity it was apparent that the cell signalling proteins AKT1 and ERK1/2 shuffled from the nucleus to the cytoplasm with tumour progression. Conclusion: This is the first in-depth, compartmentalised analysis of the distribution of IGF- and ECM-induced signalling proteins in metastatic breast cancers. This study has provided insights into the changing pattern of cellular localisation and expression of IGF- and ECM-induced signalling proteins in different stages of breast cancer. The differential distribution of these biomarkers could provide important prognostic and predictive indicators that may assist the clinical management of breast disease, namely in the early identification of cancers with a propensity to metastasise, and/or recur following adjuvant therapy.