Andrew G. Fraser

Andrew G. Fraser

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Andrew G. Fraser

The Donnelly Centre, University of Toronto, Toronto, ON, Canada

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 January 2003 in Nature
Verified
Journal Article
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RKRavi S. Kamath
Ravi S. Kamath
AFAndrew G. Fraser
Andrew G. Fraser
YDYan Dong
Yan Dong
GPGino Poulin
Gino Poulin
RDRichard Durbin
Richard Durbin
JAJulie Ahringer
Julie Ahringer

29 June 2003 in Nature
Verified
Journal Article
Closed access
PDF file
CMColeen T. Murphy
Coleen T. Murphy
SMSteven A. McCarroll
Steven A. McCarroll
CBCornelia I. Bargmann
Cornelia I. Bargmann
AFAndrew Fraser
Andrew Fraser
RKRavi S. Kamath
Ravi S. Kamath
CKCynthia Kenyon
Cynthia Kenyon

10 July 2013 in Nature
Verified
Journal Article
Closed access
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DRDebashish Ray
Debashish Ray
HKHilal Kazan
Hilal Kazan
KCKate B. Cook
Kate B. Cook
MWMatthew T. Weirauch
Matthew T. Weirauch
HNHamed S. Najafabadi
Hamed S. Najafabadi
THTimothy R. Hughes
Timothy R. Hughes

16 November 2000 in Nature
Verified
Journal Article
Closed access
PDF file
AFAndrew G. Fraser
Andrew G. Fraser
RKRavi S. Kamath
Ravi S. Kamath
PZPeder Zipperlen
Peder Zipperlen
MMMaruxa Martinez-Campos
Maruxa Martinez-Campos
MSMarc Sohrmann
Marc Sohrmann
JAJulie Ahringer
Julie Ahringer

23 January 2004 in Science
Verified
Journal Article
Closed access
PDF file
SLSiming Li
Siming Li
CAChristopher M. Armstrong
Christopher M. Armstrong
NBNicolas Bertin
Nicolas Bertin
HGHui Ge
Hui Ge
SMStuart Milstein
Stuart Milstein
MVMarc Vidal
Marc Vidal
To initiate studies on how protein-protein interaction (or “interactome”) networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico , the current version of the Worm Interactome (WI5) map contains ∼5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.

1 January 2000 in Genome Biology
Verified
Journal Article
Open access
RKRavi S Kamath
Ravi S Kamath
MMMaruxa Martinez-Campos
Maruxa Martinez-Campos
PZPeder Zipperlen
Peder Zipperlen
AFAndrew G Fraser
Andrew G Fraser
JAJulie Ahringer
Julie Ahringer
In Caenorhabditis elegans, injection of double-stranded RNA (dsRNA) results in the specific inactivation of genes containing homologous sequences, a technique termed RNA-mediated interference (RNAi). It has previously been shown that RNAi can also be achieved by feeding worms Escherichia coli expressing dsRNA corresponding to a specific gene; this mode of dsRNA introduction is conventionally considered to be less efficient than direct injection, however, and has therefore seen limited use, even though it is considerably less labor-intensive. Here we present an optimized feeding method that results in phenotypes at least as strong as those produced by direct injection of dsRNA for embryonic lethal genes, and stronger for genes with post-embryonic phenotypes. In addition, the interference effect generated by feeding can be titrated to uncover a series of hypomorphic phenotypes informative about the functions of a given gene. Using this method, we screened 86 random genes on consecutive cosmids and identified functions for 13 new genes. These included two genes producing an uncoordinated phenotype (a previously uncharacterized POU homeodomain gene, ceh-6, and a gene encoding a MADS-box protein) and one gene encoding a novel protein that results in a high-incidence-of-males phenotype. RNAi by feeding can provide significant information about the functions of an individual gene beyond that provided by injection. Moreover, it can be used for special applications for which injection or the use of mutants is sometimes impracticable (for example, titration, biochemistry and large-scale screening). Thus, RNAi by feeding should make possible new experimental approaches for the use of genomic sequence information.