# Curation

> **NIH NIH P41** · JACKSON LABORATORY · 2020 · $1,054,104

## Abstract

PROJECT SUMMARY/ABSTRACT - CURATION COMPONENT
The utility of the Gene Expression Database for Mouse Development (GXD) is proportional to its data content,
the quality of data annotations, and the level of data integration that we provide. To foster GXD's mission to
facilitate insights into molecular mechanisms of development, differentiation and disease, the Curation
Component will continue and expand GXD's curation of expression data and anatomical ontologies and ensure
high-quality data annotation and integration.
We will (1) continue the curation of classical types of expression data. We will collect and integrate
expression data from RNA in situ hybridization, in situ reporter knock-in, immunohistochemistry, RT-PCR,
Northern blot and Western blot experiments. Data will be acquired from the literature, via electronic data
submissions from laboratories, and by collaborations with projects that generate these data at a large scale.
We will ensure high-quality data annotation and integration through our editorial processes and quality controls.
We will (2) expand our data curation effort to High-Throughput Sequencing (HTS) expression data.
Using the detailed controlled vocabularies and ontologies employed in GXD, we will annotate HTS expression
data sets from GEO and ArrayExpress by attributes of the samples used, thereby generating a searchable
index that will help researchers to effectively find data sets of interest. Our focus will be on data sets that report
on endogenous gene expression in wild-type and mutant mice. We will identify selected high-quality HTS
expression data sets for inclusion in GXD. We will (3) continue the curation of anatomical ontologies and
incorporate new anatomical concepts and relationships. We will continue to enhance and refine our
anatomical ontologies; add develops-from relationships between anatomical structures of successive
developmental stages to enable the analysis of differentiation pathways; and integrate expression, biological
process, and phenotypic data by referencing common anatomical concepts, thus enabling a direct anatomy-
based comparison of expression, phenotype, and disease data. Further, we will establish cross-references to
anatomy ontologies from other species to facilitate the comparative analysis of expression patterns.

## Key facts

- **NIH application ID:** 9922138
- **Project number:** 5P41HD062499-10
- **Recipient organization:** JACKSON LABORATORY
- **Principal Investigator:** MARTIN RINGWALD
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,054,104
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9922138

## Citation

> US National Institutes of Health, RePORTER application 9922138, Curation (5P41HD062499-10). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/9922138. Licensed CC0.

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