# Extracting data for all genes from an ROI

**URL:** <https://community.brain-map.org/t/extracting-data-for-all-genes-from-an-roi/507>\
**Category:** Technical\
**Tags:** atlas-mouse-brain-adult, api, anatomy, transcriptomics, how-to\
**Created:** [April 10, 2020, 3:01pm UTC](https://community.brain-map.org/t/extracting-data-for-all-genes-from-an-roi/507 "2020-04-10T15:01:57Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![jeremyinseattle](https://yyz1.discourse-cdn.com/flex027/user_avatar/community.brain-map.org/jeremyinseattle/32/50_2.png) [@jeremyinseattle](https://community.brain-map.org/u/jeremyinseattle)\
**Post date:** [April 10, 2020, 4:14pm UTC](https://community.brain-map.org/t/extracting-data-for-all-genes-from-an-roi/507/2 "2020-04-10T16:14:31Z")

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A good starting point would be [Structure Unionization](http://help.brain-map.org/display/devmouse/API#API-ExpressionStructuresStructureUnionization) (see [this post](https://community.brain-map.org/t/quantification-of-gene-expression-by-in-situ-hybridization-finding-and-using-the-raw-values/153)). This gets the converse of what you want: all regions for one gene, but does wrap up by region as requested. I’m not sure about getting all gene data for a few regions, but maybe someone else on here knows.

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_[View the full topic](https://community.brain-map.org/t/extracting-data-for-all-genes-from-an-roi/507)._