Image processing and analysis for quantifying gene expression from early Drosophila embryos

被引:9
作者
Ay, Ahmet [2 ]
Fakhouri, Walid D. [1 ]
Chiu, Chichia [2 ]
Arnosti, David N. [1 ]
机构
[1] Michigan State Univ, Dept Biochem & Mol Biol, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Math, E Lansing, MI 48824 USA
关键词
D O I
10.1089/ten.tea.2008.0202
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Correlation of quantities of transcriptional activators and repressors with the mRNA output of target genes is a central issue for modeling gene regulation. In multicellular organisms, both spatial and temporal differences in gene expression must be taken into account; this can be achieved by use of in situ hybridization followed by confocal laser scanning microscopy (CLSM). Here we present a method to correlate the protein levels of the short-range repressor Giant with lacZ mRNA produced by reporter genes using images of Drosophila blastoderm embryos taken by CLSM. The image stacks from CLSM are processed using a semiautomatic algorithm to produce correlations between the repressor levels and lacZ mRNA reporter genes. We show that signals derived from CLSM are proportional to actual mRNA levels. Our analysis reveals that a suggested parabolic form of the background fluorescence in confocal images of early Drosophila embryos is evident most prominently in flattened specimens, with intact embryos exhibiting a more linear background. The data extraction described in this paper is primarily conceived for analysis of synthetic reporter genes that are designed to decipher cis-regulatory grammar, but the techniques are generalizable for quantitative analysis of other engineered or endogenous genes in embryos.
引用
收藏
页码:1517 / 1526
页数:10
相关论文
共 22 条
[1]   Confocal quantification of cis-regulatory reporter gene expression in living sea urchin [J].
Damle, Sagar ;
Hanser, Bridget ;
Davidson, Eric H. ;
Fraser, Scott E. .
DEVELOPMENTAL BIOLOGY, 2006, 299 (02) :543-550
[2]  
ELDON ED, 1991, DEVELOPMENT, V111, P367
[3]  
Hewitt GF, 1999, DEVELOPMENT, V126, P1201
[4]   Real-time RT-PCR normalisation; strategies and considerations [J].
Huggett, J ;
Dheda, K ;
Bustin, S ;
Zumla, A .
GENES AND IMMUNITY, 2005, 6 (04) :279-284
[5]   Dynamic control of positional information in the early Drosophila embryo [J].
Jaeger, J ;
Surkova, S ;
Blagov, M ;
Janssens, H ;
Kosman, D ;
Kozlov, KN ;
Manu ;
Myasnikova, E ;
Vanario-Alonso, CE ;
Samsonova, M ;
Sharp, DH ;
Reinitz, J .
NATURE, 2004, 430 (6997) :368-371
[6]   A high-throughput method for quantifying gene expression data from early Drosophila embryos [J].
Janssens, H ;
Kosman, D ;
Vanario-Alonso, CE ;
Jaeger, J ;
Samsonova, M ;
Reinitz, J .
DEVELOPMENT GENES AND EVOLUTION, 2005, 215 (07) :374-381
[7]   Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene [J].
Janssens, Hilde ;
Hou, Shuling ;
Jaeger, Johannes ;
Kim, Ah-Ram ;
Myasnikova, Ekaterina ;
Sharp, David ;
Reinitz, John .
NATURE GENETICS, 2006, 38 (10) :1159-1165
[8]   Multiplex detection of RNA expression in Drosophila embryos [J].
Kosman, D ;
Mizutani, CM ;
Lemons, D ;
Cox, WG ;
McGinnis, W ;
Bier, E .
SCIENCE, 2004, 305 (5685) :846-846
[9]   Rapid preparation of a panel of polyclonal antibodies to Drosophila segmentation proteins [J].
Kosman, D ;
Small, S ;
Reinitz, J .
DEVELOPMENT GENES AND EVOLUTION, 1998, 208 (05) :290-294
[10]   Computational identification of Drosophila microRNA genes -: art. no. R42 [J].
Lai, EC ;
Tomancak, P ;
Williams, RW ;
Rubin, GM .
GENOME BIOLOGY, 2003, 4 (07)