Literature DB >> 11112329

Recovery of developmentally defined gene sets from high-density cDNA macroarrays.

J P Rast1, G Amore, C Calestani, C B Livi, A Ransick, E H Davidson.   

Abstract

New technologies for isolating differentially expressed genes from large arrayed cDNA libraries are reported. These methods can be used to identify genes that lie downstream of developmentally important transcription factors and genes that are expressed in specific tissues, processes, or stages of embryonic development. Though developed for the study of gene expression during the early embryogenesis of the sea urchin Strongylocentrotus purpuratus, these technologies can be applied generally. Hybridization parameters were determined for the reaction of complex cDNA probes to cDNA libraries carried on six nylon filters, each containing duplicate spots from 18,432 bacterial clones (macroarrays). These libraries are of sufficient size to include nearly all genes expressed in the embryo. The screening strategy we have devised is designed to overcome inherent sensitivity limitations of macroarray hybridization and thus to isolate differentially expressed genes that are represented only by low-prevalence mRNAs. To this end, we have developed improved methods for the amplification of cDNA from small amounts of tissue (as little as approximately 300 sea urchin embryos, or 2 x 10(5) cells, or about 10 ng of mRNA) and for the differential enhancement of probe sequence concentration by subtractive hybridization. Quantitative analysis of macroarray hybridization shows that these probes now suffice for detection of differentially expressed mRNAs down to a level below five molecules per average embryo cell. Copyright 2000 Academic Press.

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Year:  2000        PMID: 11112329     DOI: 10.1006/dbio.2000.9941

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


  16 in total

1.  Regulatory gene networks and the properties of the developmental process.

Authors:  Eric H Davidson; David R McClay; Leroy Hood
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-10       Impact factor: 11.205

Review 2.  Development gene networks and evolution.

Authors:  Jonathan P Rast
Journal:  J Struct Funct Genomics       Date:  2003

3.  Developmental gene regulatory network architecture across 500 million years of echinoderm evolution.

Authors:  Veronica F Hinman; Albert T Nguyen; R Andrew Cameron; Eric H Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-31       Impact factor: 11.205

4.  A missing link in the sea urchin embryo gene regulatory network: hesC and the double-negative specification of micromeres.

Authors:  Roger Revilla-i-Domingo; Paola Oliveri; Eric H Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-16       Impact factor: 11.205

5.  A gene regulatory network controlling the embryonic specification of endoderm.

Authors:  Isabelle S Peter; Eric H Davidson
Journal:  Nature       Date:  2011-05-29       Impact factor: 49.962

6.  An Elk transcription factor is required for Runx-dependent survival signaling in the sea urchin embryo.

Authors:  Francesca Rizzo; James A Coffman; Maria Ina Arnone
Journal:  Dev Biol       Date:  2016-05-24       Impact factor: 3.582

7.  The endoderm gene regulatory network in sea urchin embryos up to mid-blastula stage.

Authors:  Isabelle S Peter; Eric H Davidson
Journal:  Dev Biol       Date:  2009-11-03       Impact factor: 3.582

8.  Eric Davidson: Steps to a gene regulatory network for development.

Authors:  Ellen V Rothenberg
Journal:  Dev Biol       Date:  2016-01-26       Impact factor: 3.582

9.  Two cDNAs from the purple sea urchin, Strongylocentrotus purpuratus, encoding mosaic proteins with domains found in factor H, factor I, and complement components C6 and C7.

Authors:  Keri A Multerer; L Courtney Smith
Journal:  Immunogenetics       Date:  2004-04-16       Impact factor: 3.330

10.  Overview of electrochemical DNA biosensors: new approaches to detect the expression of life.

Authors:  Stefano Cagnin; Marcelo Caraballo; Carlotta Guiducci; Paolo Martini; Marty Ross; Mark Santaana; David Danley; Todd West; Gerolamo Lanfranchi
Journal:  Sensors (Basel)       Date:  2009-04-24       Impact factor: 3.576

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