# Tech Development Core

> **NIH NIH P41** · UNIVERSITY OF ARIZONA · 2020 · $633,694

## Abstract

The goal of the Technology Development Core is to expand the high quality in situ hybridization
(ISH) expression dataset that is presently available through the GEISHA (gallus expression in situ
hybridization analysis) database and user interface, and to integrate GEISHA data into AviPort. GEISHA
is an established community resource for chicken embryo, providing ISH gene expression
information and associated genomic metadata through in house ISH screens, literature curation and
acquisition of expression data from other research laboratories. In recent years, the GEISHA project has
generated a high quality dataset of 50,000 whole mount ISH images and associated metadata for
approximately 3,200 developmentally regulated genes. With the focus of much biomedically related avian
research on the molecular regulation of development and direct experimental analysis, high quality ISH
information is of particularly high value to the avian research community. Though in past years GEISHA
has been a stand-alone resource, going forward GEISHA will be integrated into AviPort High throughput
ISH screens will continue to be conducted as this data has been voted the highest priority, after high
quality genomes, for the avian research community. Additional ISH information will be curated from the
literature and acquired from other researchers. In collaboration with the Curation Core, a chicken anatomical
ontology will be created and used to annotate ISH chicken embryo images.

## Key facts

- **NIH application ID:** 9991871
- **Project number:** 5P41HD088362-04
- **Recipient organization:** UNIVERSITY OF ARIZONA
- **Principal Investigator:** PARKER Bruce ANTIN
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $633,694
- **Award type:** 5
- **Project period:** 2017-09-12 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9991871

## Citation

> US National Institutes of Health, RePORTER application 9991871, Tech Development Core (5P41HD088362-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9991871. Licensed CC0.

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