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Related Experiment Video

Updated: Jun 6, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

MASISH: a database for gene expression in maize seeds.

M Miquel1, I López-Ribera, M Ràmia

  • 1Department of Molecular Genetics, Centre for Research in Agricultural Genomics, CSIC (IRTA-UAB), Jordi Girona, 18, 08034 Barcelona, Spain.

Bioinformatics (Oxford, England)
|December 8, 2010
PubMed
Summary
This summary is machine-generated.

MASISH is a new online database for maize seed development. It provides spatial gene expression patterns from in situ hybridization experiments, aiding in the study of seed development.

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Area of Science:

  • Plant biology
  • Genetics
  • Developmental biology

Background:

  • Maize seeds are complex structures requiring coordinated development of multiple tissues and cell types for embryo viability.
  • Systematic, cell-level spatial analyses of gene expression in maize seeds are lacking.
  • Understanding gene function in seed development is crucial for agricultural applications.

Purpose of the Study:

  • To establish a comprehensive online resource for spatial gene expression patterns in maize seeds.
  • To facilitate the identification and study of genes involved in maize seed development.
  • To provide a platform for researchers to access and analyze in situ hybridization data.

Main Methods:

  • Development of MASISH, an online database.
  • Inclusion of gene expression spatial patterns derived from in situ hybridization experiments in maize seeds.
  • Implementation of a web-based query interface for data retrieval.

Main Results:

  • MASISH provides a searchable repository of gene expression data for maize seeds.
  • The database includes hybridization images, published references, and gene information.
  • Enables detailed spatial analysis of gene expression at the cellular level.

Conclusions:

  • MASISH serves as a valuable resource for researchers studying maize seed development.
  • The database supports the systematic investigation of gene function during embryogenesis.
  • Facilitates advancements in understanding the genetic regulation of seed formation.