Pia Aanstad

Dr. Pia Aanstad


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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31 August 2005 in Nature
Verified
Journal Article
Closed access
PDF file
KCKevin C. Corbit
Kevin C. Corbit
PAPia Aanstad
Pia Aanstad
VSVeena Singla
Veena Singla
ANAndrew R. Norman
Andrew R. Norman
DSDidier Y. R. Stainier
Didier Y. R. Stainier
JRJeremy F. Reiter
Jeremy F. Reiter

25 July 2013 in Nature Communications
Verified
Journal Article
Open access
BSBenjamin Schmid
Benjamin Schmid
GSGopi Shah
Gopi Shah
NSNico Scherf
Nico Scherf
MWMichael Weber
Michael Weber
KTKonstantin Thierbach
Konstantin Thierbach
JHJan Huisken
Jan Huisken
The ever-increasing speed and resolution of modern microscopes make the storage and post-processing of images challenging and prevent thorough statistical analyses in developmental biology. Here, instead of deploying massive storage and computing power, we exploit the spherical geometry of zebrafish embryos by computing a radial maximum intensity projection in real time with a 240-fold reduction in data rate. In our four-lens selective plane illumination microscope (SPIM) setup the development of multiple embryos is recorded in parallel and a map of all labelled cells is obtained for each embryo in <10 s. In these panoramic projections, cell segmentation and flow analysis reveal characteristic migration patterns and global tissue remodelling in the early endoderm. Merging data from many samples uncover stereotypic patterns that are fundamental to endoderm development in every embryo. We demonstrate that processing and compressing raw image data in real time is not only efficient but indispensable for image-based systems biology.

15 June 2001 in Genes & Development
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Journal Article
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TDThomas Dickmeis
Thomas Dickmeis
PMPhilippe Mourrain
Philippe Mourrain
LSLaure Saint-Etienne
Laure Saint-Etienne
NFNadine Fischer
Nadine Fischer
PAPia Aanstad
Pia Aanstad
FRFrédéric Rosa
Frédéric Rosa
casanova (cas) mutant zebrafish embryos lack endoderm and develop cardia bifida. In a substractive screen for Nodal-responsive genes, we isolated an HMG box-containing gene,10J3, which is expressed in the endoderm. Thecas phenotype is rescued by overexpression of 10J3and can be mimicked by 10J3-directed morpholinos. Furthermore, we identified a mutation within 10J3 coding sequence that cosegregates with the cas phenotype, clearly demonstrating that cas is encoded by 10J3. Epistasis experiments are consistent with an instructive role forcas in endoderm formation downstream of Nodal signals and upstream of sox17. In the absence of casactivity, endoderm progenitors differentiate into mesodermal derivatives. Thus, cas is an HMG box-containing gene involved in the fate decision between endoderm and mesoderm that acts downstream of Nodal signals.

1 June 2009 in Current Biology
Verified
Journal Article
Closed access
PAPia Aanstad
Pia Aanstad
NSNicole Santos
Nicole Santos
KCKevin C. Corbit
Kevin C. Corbit
PSPaul J. Scherz
Paul J. Scherz
LTLe A. Trinh
Le A. Trinh
DSDidier Y.R. Stainier
Didier Y.R. Stainier

1 April 2007 in Developmental Biology
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Journal Article
Closed access
JBJames T. Bennett
James T. Bennett
KJKatherine Joubin
Katherine Joubin
SCSimon Cheng
Simon Cheng
PAPia Aanstad
Pia Aanstad
RHRalf Herwig
Ralf Herwig
ASAlexander F. Schier
Alexander F. Schier

1 December 2001 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
RHRalf Herwig
Ralf Herwig
PAPia Aanstad
Pia Aanstad
MCMatthew Clark
Matthew Clark
HLHans Lehrach
Hans Lehrach
In this paper we focus on the detection of differentially expressed genes according to changes in hybridization signals using statistical tests. These tests were applied to 14 208 zebrafish cDNA clones that were immobilized on a nylon support and hybridized with radioactively labeled target mRNA from wild-type and lithium-treated zebrafish embryos. The methods were evaluated with respect to 16 control clones that correspond to eight different genes which are known to be involved in dorso-ventral axis specification. Moreover, 4608 Arabidopsis thaliana clones on the same array were used to judge statistical significance of expression changes and to control the false positive rates of the test decisions. Utilizing this special array design we show that differential expression of a high proportion of cDNA clones (15/16) and the respective genes (7/8) were identified, with a false positive error of <5% using the constant control data. Furthermore, we investigated the influence of the number of repetitions of experiments on the accuracy of the procedures with experimental and simulated data. Our results suggest that the detection of differential expression with repeated hybridization experiments is an accurate and sensitive way of identifying even small expression changes (1:1.5) of a large number of genes in parallel.