MASISH- Maize Seed In Situ Hybridization database

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See: MASISH


Browse by:EXPRESSION PATTERN

File:Maizeseedanatomy.pdf


MASISH is a database focusing on the spatial patterns of gene expression in maize developing seeds and provides a gateway to the information obtained from the high-throughput maize seeds in situ hybridization project carried on in the Centre for Agrigenomic Research (CRAG, CSIC-IRTA-UAB, Barcelona-Spain).


This database contains gene expression patterns assembled from maize seed tissues at different time points throughout development and in different wild type and mutant genotypes. Using a high throughput in situ hybridization approach we are assembling expression patterns from selected genes and presenting them in a searchable database. The database also includes information on expression patterns in the maize seed available in the literature.

mRNA in situ hybridisation was used to determine the spatial expression pattern of genes expressed in the developing maize seed in wild type and different mutants at different stages of development. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. To retrieve expression patterns, search by gene name, GenBank accession number, publication or gene ontology.

The database is directly linked to Pubmed, LocusLink, Unigene and Gene Ontology Consortium housed at the National Center for Biotechnology Information (NCBI) in the National Library of Medicine.

Genes in the Database: The genes represented in this database are members of a variety of gene families with wide distribution in gene ontology and chromosomal location. Many genes were selected from an EST collection obtained from a cDNA library from maize immature embryos based on their interest to the research community. In addition, many genes in the database have no known function or are completely uncharacterized. We have included these uncharacterized genes to facilitate new discoveries and to stimulate novel research directions. We are continually adding new genes to the database with the ultimate goal of representing the majority of genes that are expressed in the developing maize seed.