Welcome to the website of the MISFISHIE Standard Working Group for the MGED project. This working group has been set up to develop and promote the MISFISHIE standard as a community effort.
MISFISHIE is the Minimum Information Specification For In Situ
Hybridization and Immunohistochemistry Experiments.
This specification details the minimum information that should be
provided when publishing, making public, or exchanging results from
visual interpretation-based tissue gene expression localization
experiments such as in situ hybridization, immunohistochemistry,
reporter construct genetic experiments (GFP/green fluorescent protein,
β-galactosidase), etc. Compliance to this standard is expected to
provide researchers at other labs enough information to reproduce the
experiment and/or to fully evaluate the data upon which results are
based.
Overview:
Modeled after the well-received
MIAME
(Minimum Information About a Microarray Experiment)
specification for microarray experiments, this
specification only describes the types of information that should be
provided. This specification does not dictate a specific format for
reporting the information. We expect to develop a data model based on
the concepts of
MAGE-OM
(MicroArray Gene Expression Object Model) and on the
MAGEstk
(MicroArray Gene Expression software tool kit) in the near
future. It is this model and the associated XML-based markup language
that will provide the recommended data format for archiving or
transferring such data. Separation of the minimum information
specification and the data format is important because the data format
should both allow for unlimited additional information as well as some
degree of partial information for optimum usefulness.
The specification describes the type of information that must be
provided in six sections:
- Experimental Design
- Specimens
- Probe or Antibody Information
- Staining Protocols and Parameters
- Imaging Data and Parameters
- Image Characterization
The primary imaging data is a requirement since the interpretation of in
situ or immunohistochemistry images is subject to observer variability.
Furthermore, many specimens are unique; consequently, exact reproduction
can be problematic or impossible. The final section provides a basic
system for describing the interpretation of the images in a way that can
be searched and collated in an automated fashion.