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Institution

Garvan Institute of Medical Research

NonprofitDarlinghurst, New South Wales, Australia
About: Garvan Institute of Medical Research is a nonprofit organization based out in Darlinghurst, New South Wales, Australia. It is known for research contribution in the topics: Cancer & Insulin. The organization has 2472 authors who have published 5808 publications receiving 366275 citations.


Papers
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Journal ArticleDOI
TL;DR: A simple and effective method for performing normalization is outlined and dramatically improved results for inferring differential expression in simulated and publicly available data sets are shown.
Abstract: The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq is likely to become the platform of choice for interrogating steady state RNA. In order to discover biologically important changes in expression, we show that normalization continues to be an essential step in the analysis. We outline a simple and effective method for performing normalization and show dramatically improved results for inferring differential expression in simulated and publicly available data sets.

6,042 citations

Journal ArticleDOI
18 Jun 1998-Nature
TL;DR: In this paper, the authors sequenced tau in FTDP-17 families and identified three missense mutations (G272V, P301L and R406W) and three mutations in the 5' splice site of exon in
Abstract: Thirteen families have been described with an autosomal dominantly inherited dementia named frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17)(1-9), historically termed Pick's disease(10) Most FTDP-17 cases show neuronal and/or glial inclusions that stain positively with antibodies raised against the microtubule-associated protein Tau, although the Tau pathology varies considerably in both its quantity (or severity) and characteristics(1-8,12) Previous studies have mapped the FTDP-17 locus to a 2-centimorgan region on chromosome 17q2111; the tau gene also lies within this region We have now sequenced tau in FTDP-17 families and identified three missense mutations (G272V, P301L and R406W) and three mutations in the 5' splice site of exon in The splice-site mutations all destabilize a potential stem-loop structure which is probably involved in regulating the alternative splicing of exon10 (ref 13) This causes more frequent usage of the 5' splice site and an increased proportion of tan transcripts that include exon 10 The increase in exon 10(+) messenger RNA will increase the proportion of Tau containing four microtubule-binding repeats, which is consistent with the neuropathology described in several families with FTDP-17 (refs 12, 14)

3,366 citations

Journal ArticleDOI
TL;DR: A web server, KOBAS 2.0, is reported, which annotates an input set of genes with putative pathways and disease relationships based on mapping to genes with known annotations, which allows for both ID mapping and cross-species sequence similarity mapping.
Abstract: High-throughput experimental technologies often identify dozens to hundreds of genes related to, or changed in, a biological or pathological process. From these genes one wants to identify biological pathways that may be involved and diseases that may be implicated. Here, we report a web server, KOBAS 2.0, which annotates an input set of genes with putative pathways and disease relationships based on mapping to genes with known annotations. It allows for both ID mapping and cross-species sequence similarity mapping. It then performs statistical tests to identify statistically significantly enriched pathways and diseases. KOBAS 2.0 incorporates knowledge across 1327 species from 5 pathway databases (KEGG PATHWAY, PID, BioCyc, Reactome and Panther) and 5 human disease databases (OMIM, KEGG DISEASE, FunDO, GAD and NHGRI GWAS Catalog). KOBAS 2.0 can be accessed at http://kobas.cbi.pku.edu.cn.

3,293 citations

Journal ArticleDOI
29 Oct 2009-Nature
TL;DR: It is shown that SCFA–GPR43 interactions profoundly affect inflammatory responses, and GPR43 binding of SCFAs potentially provides a molecular link between diet, gastrointestinal bacterial metabolism, and immune and inflammatory responses.
Abstract: The immune system responds to pathogens by a variety of pattern recognition molecules such as the Toll-like receptors (TLRs), which promote recognition of dangerous foreign pathogens. However, recent evidence indicates that normal intestinal microbiota might also positively influence immune responses, and protect against the development of inflammatory diseases. One of these elements may be short-chain fatty acids (SCFAs), which are produced by fermentation of dietary fibre by intestinal microbiota. A feature of human ulcerative colitis and other colitic diseases is a change in 'healthy' microbiota such as Bifidobacterium and Bacteriodes, and a concurrent reduction in SCFAs. Moreover, increased intake of fermentable dietary fibre, or SCFAs, seems to be clinically beneficial in the treatment of colitis. SCFAs bind the G-protein-coupled receptor 43 (GPR43, also known as FFAR2), and here we show that SCFA-GPR43 interactions profoundly affect inflammatory responses. Stimulation of GPR43 by SCFAs was necessary for the normal resolution of certain inflammatory responses, because GPR43-deficient (Gpr43(-/-)) mice showed exacerbated or unresolving inflammation in models of colitis, arthritis and asthma. This seemed to relate to increased production of inflammatory mediators by Gpr43(-/-) immune cells, and increased immune cell recruitment. Germ-free mice, which are devoid of bacteria and express little or no SCFAs, showed a similar dysregulation of certain inflammatory responses. GPR43 binding of SCFAs potentially provides a molecular link between diet, gastrointestinal bacterial metabolism, and immune and inflammatory responses.

2,515 citations

Journal ArticleDOI
Peter Bailey1, David K. Chang2, Katia Nones1, Katia Nones3, Amber L. Johns4, Ann-Marie Patch1, Ann-Marie Patch3, Marie-Claude Gingras5, David Miller1, David Miller4, Angelika N. Christ1, Timothy J. C. Bruxner1, Michael C.J. Quinn3, Michael C.J. Quinn1, Craig Nourse1, Craig Nourse2, Murtaugh Lc6, Ivon Harliwong1, Senel Idrisoglu1, Suzanne Manning1, Ehsan Nourbakhsh1, Shivangi Wani1, Shivangi Wani3, J. Lynn Fink1, Oliver Holmes1, Oliver Holmes3, Chin4, Matthew J. Anderson1, Stephen H. Kazakoff1, Stephen H. Kazakoff3, Conrad Leonard3, Conrad Leonard1, Felicity Newell1, Nicola Waddell1, Scott Wood3, Scott Wood1, Qinying Xu3, Qinying Xu1, Peter J. Wilson1, Nicole Cloonan1, Nicole Cloonan3, Karin S. Kassahn7, Karin S. Kassahn1, Karin S. Kassahn8, Darrin Taylor1, Kelly Quek1, Alan J. Robertson1, Lorena Pantano9, Laura Mincarelli2, Luis Navarro Sanchez2, Lisa Evers2, Jianmin Wu4, Mark Pinese4, Mark J. Cowley4, Jones4, Jones2, Emily K. Colvin4, Adnan Nagrial4, Emily S. Humphrey4, Lorraine A. Chantrill10, Lorraine A. Chantrill4, Amanda Mawson4, Jeremy L. Humphris4, Angela Chou4, Angela Chou11, Marina Pajic12, Marina Pajic4, Christopher J. Scarlett4, Christopher J. Scarlett13, Andreia V. Pinho4, Marc Giry-Laterriere4, Ilse Rooman4, Jaswinder S. Samra14, James G. Kench4, James G. Kench15, James G. Kench16, Jessica A. Lovell4, Neil D. Merrett12, Christopher W. Toon4, Krishna Epari17, Nam Q. Nguyen18, Andrew Barbour19, Nikolajs Zeps20, Kim Moran-Jones2, Nigel B. Jamieson2, Janet Graham2, Janet Graham21, Fraser Duthie22, Karin A. Oien22, Karin A. Oien4, Hair J22, Robert Grützmann23, Anirban Maitra24, Christine A. Iacobuzio-Donahue25, Christopher L. Wolfgang26, Richard A. Morgan26, Rita T. Lawlor, Corbo, Claudio Bassi, Borislav Rusev, Paola Capelli27, Roberto Salvia, Giampaolo Tortora, Debabrata Mukhopadhyay28, Gloria M. Petersen28, Munzy Dm5, William E. Fisher5, Saadia A. Karim, Eshleman26, Ralph H. Hruban26, Christian Pilarsky23, Jennifer P. Morton, Owen J. Sansom2, Aldo Scarpa27, Elizabeth A. Musgrove2, Ulla-Maja Bailey2, Oliver Hofmann2, Oliver Hofmann9, R. L. Sutherland4, David A. Wheeler5, Anthony J. Gill4, Anthony J. Gill15, Richard A. Gibbs5, John V. Pearson1, John V. Pearson3, Andrew V. Biankin, Sean M. Grimmond29, Sean M. Grimmond2, Sean M. Grimmond1 
03 Mar 2016-Nature
TL;DR: Detailed genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-β, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing.
Abstract: Integrated genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-β, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing. Expression analysis defined 4 subtypes: (1) squamous; (2) pancreatic progenitor; (3) immunogenic; and (4) aberrantly differentiated endocrine exocrine (ADEX) that correlate with histopathological characteristics. Squamous tumours are enriched for TP53 and KDM6A mutations, upregulation of the TP63∆N transcriptional network, hypermethylation of pancreatic endodermal cell-fate determining genes and have a poor prognosis. Pancreatic progenitor tumours preferentially express genes involved in early pancreatic development (FOXA2/3, PDX1 and MNX1). ADEX tumours displayed upregulation of genes that regulate networks involved in KRAS activation, exocrine (NR5A2 and RBPJL), and endocrine differentiation (NEUROD1 and NKX2-2). Immunogenic tumours contained upregulated immune networks including pathways involved in acquired immune suppression. These data infer differences in the molecular evolution of pancreatic cancer subtypes and identify opportunities for therapeutic development.

2,443 citations


Authors

Showing all 2486 results

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
Gerald I. Shulman164579109520
David Goldstein1411301101955
Richard T. Lee13181062164
David Robertson127110667914
John A. Eisman12452253539
John S. Mattick11636764315
Peter R. Schofield10969350892
Tim J Peters106103747394
Michael J. Davies10678051355
Charles R. Mackay10627250300
David Brown105125746827
Matthew A. Brown10374859727
Mark A. Febbraio10232633017
Henry Brodaty10184448276
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202227
2021523
2020443
2019405
2018365