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Institution

Walter and Eliza Hall Institute of Medical Research

NonprofitMelbourne, Victoria, Australia
About: Walter and Eliza Hall Institute of Medical Research is a nonprofit organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Antigen & Immune system. The organization has 5012 authors who have published 10620 publications receiving 873561 citations.


Papers
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Journal ArticleDOI
05 Jul 1985-Science
TL;DR: The granulocyte-macrophage colony-stimulating factors are well-characterized specific glycoproteins that interact to control the production, differentiation, and function of two related white cell populations of the blood, the granulocytes and monocyte- macrophages.
Abstract: The granulocyte-macrophage colony-stimulating factors are well-characterized specific glycoproteins that interact to control the production, differentiation, and function of two related white cell populations of the blood, the granulocytes and monocyte-macrophages. Widely produced in the body, these regulators probably play an important role in resistance to infections. The proliferation of myeloid leukemia cells remains dependent on stimulation by colony-stimulating factors, although one of them also has the ability to suppress leukemic populations by inducing terminal differentiation.

877 citations

Journal ArticleDOI
TL;DR: Testing of differential expression for replicated DGE data using the negative binomial distribution to model overdispersion relative to the Poisson, and using conditional weighted likelihood to moderate the level of over Dispersion across genes is developed.
Abstract: Motivation: Digital gene expression (DGE) technologies measure gene expression by counting sequence tags. They are sensitive technologies for measuring gene expression on a genomic scale, without the need for prior knowledge of the genome sequence. As the cost of sequencing DNA decreases, the number of DGE datasets is expected to grow dramatically. Various tests of differential expression have been proposed for replicated DGE data using binomial, Poisson, negative binomial or pseudo-likelihood (PL) models for the counts, but none of the these are usable when the number of replicates is very small. Results: We develop tests using the negative binomial distribution to model overdispersion relative to the Poisson, and use conditional weighted likelihood to moderate the level of overdispersion across genes. Not only is our strategy applicable even with the smallest number of libraries, but it also proves to be more powerful than previous strategies when more libraries are available. The methodology is equally applicable to other counting technologies, such as proteomic spectral counts. Availability: An R package can be accessed from http://bioinf.wehi.edu.au/resources/ Contact: smyth@wehi.edu.au Supplementary information: http://bioinf.wehi.edu.au/resources/

856 citations

Journal ArticleDOI
24 Feb 2000-Nature
TL;DR: Direct proof that mutations in Pgh1 can confer resistance to mefloquine, quinine and halofantrine is provided, which has important implications for the development and efficacy of future antimalarial agents.
Abstract: Throughout the latter half of this century, the development and spread of resistance to most front-line antimalarial compounds used in the prevention and treatment of the most severe form of human malaria has given cause for grave clinical concern. Polymorphisms in pfmdr1, the gene encoding the P-glycoprotein homologue 1 (Pgh1) protein of Plasmodium falciparum, have been linked to chloroquine resistance1; Pgh1 has also been implicated in resistance to mefloquine and halofantrine2,3,4,5. However, conclusive evidence of a direct causal association between pfmdr1 and resistance to these antimalarials has remained elusive, and a single genetic cross has suggested that Pgh1 is not involved in resistance to chloroquine and mefloquine6. Here we provide direct proof that mutations in Pgh1 can confer resistance to mefloquine, quinine and halofantrine. The same mutations influence parasite resistance towards chloroquine in a strain-specific manner and the level of sensitivity to the structurally unrelated compound, artemisinin. This has important implications for the development and efficacy of future antimalarial agents.

848 citations

Journal ArticleDOI
20 Feb 2009-Immunity
TL;DR: Current understanding of Fas-induced apoptosis signaling is described and experimental strategies for future advances are proposed.

847 citations

Journal ArticleDOI
TL;DR: E mu-bcl-2-22 mice constitute a transgenic model for a systemic autoimmune disease resembling the human disorder systemic lupus erythematosus, and most mice spontaneously produced antibodies to nuclear antigens, and 60% developed kidney disease, diagnosed as immune complex glomerulonephritis.
Abstract: The biological functions of the BCL2 gene were investigated in transgenic mice harboring human BCL2 cDNA under the control of an immunoglobulin heavy chain enhancer (E mu). Mice of a representative transgenic strain, E mu-bcl-2-22, had a great excess of B lymphocytes, immunoglobulin-secreting cells, and serum immunoglobulins, attributable to increased longevity of B-lineage cells. Pre-B and plasma cells as well as B cells exhibited prolonged survival in culture. Immunized animals produced an amplified and protracted antibody response. Within the first year of life, most mice spontaneously produced antibodies to nuclear antigens, and 60% developed kidney disease, diagnosed as immune complex glomerulonephritis. Thus E mu-bcl-2-22 mice constitute a transgenic model for a systemic autoimmune disease resembling the human disorder systemic lupus erythematosus.

844 citations


Authors

Showing all 5041 results

NameH-indexPapersCitations
Martin White1962038232387
Stuart H. Orkin186715112182
Tien Yin Wong1601880131830
Mark J. Smyth15371388783
Anne B. Newman15090299255
James P. Allison13748383336
Scott W. Lowe13439689376
Rajkumar Buyya133106695164
Peter Hall132164085019
Ralph L. Brinster13138256455
Nico van Rooijen13051362623
David A. Hafler12855864314
Andreas Strasser12850966903
Marc Feldmann12566364916
Herman Waldmann11858649942
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202235
2021600
2020532
2019481
2018491