<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wunderlich Z</submitter><funding>Human Development of the National Institutes of Health under Award Number</funding><funding>NICHD NIH HHS</funding><funding>Jane Coffin Childs Memorial Fund</funding><funding>Eunice Kennedy Shriver National Institute Of Child Health</funding><pagination>233-41</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4048779</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>68(1)</volume><pubmed_abstract>In situ hybridization is an important technique for measuring the spatial expression patterns of mRNA in cells, tissues, and whole animals. However, mRNA levels cannot be compared across experiments using typical protocols. Here we present a semi-quantitative method to compare mRNA levels of a gene across multiple samples. This method yields an estimate of the error in the measurement to allow statistical comparison. Our method uses a typical in situ hybridization protocol to stain for a target gene and an internal standard, which we refer to as a co-stain. As a proof of concept, we apply this method to multiple lines of transgenic Drosophila embryos, harboring constructs that express reporter genes to different levels. We generated this test set by mutating enhancer sequences to contain different numbers of binding sites for Zelda, a transcriptional activator. We demonstrate that using a co-stain with in situ hybridization is an effective method to compare mRNA levels across samples. This method requires only minor modifications to existing in situ hybridization protocols and uses straightforward analysis techniques. This strategy can be broadly applied to detect quantitative, spatially resolved changes in mRNA levels.</pubmed_abstract><journal>Methods (San Diego, Calif.)</journal><pubmed_title>Comparing mRNA levels using in situ hybridization of a target gene and co-stain.</pubmed_title><pmcid>PMC4048779</pmcid><funding_grant_id>R21HD072481-01</funding_grant_id><funding_grant_id>R21 HD072481</funding_grant_id><funding_grant_id>K99 HD073191</funding_grant_id><funding_grant_id>K99HD073191</funding_grant_id><pubmed_authors>Wunderlich Z</pubmed_authors><pubmed_authors>Bragdon MD</pubmed_authors><pubmed_authors>DePace AH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comparing mRNA levels using in situ hybridization of a target gene and co-stain.</name><description>In situ hybridization is an important technique for measuring the spatial expression patterns of mRNA in cells, tissues, and whole animals. However, mRNA levels cannot be compared across experiments using typical protocols. Here we present a semi-quantitative method to compare mRNA levels of a gene across multiple samples. This method yields an estimate of the error in the measurement to allow statistical comparison. Our method uses a typical in situ hybridization protocol to stain for a target gene and an internal standard, which we refer to as a co-stain. As a proof of concept, we apply this method to multiple lines of transgenic Drosophila embryos, harboring constructs that express reporter genes to different levels. We generated this test set by mutating enhancer sequences to contain different numbers of binding sites for Zelda, a transcriptional activator. We demonstrate that using a co-stain with in situ hybridization is an effective method to compare mRNA levels across samples. This method requires only minor modifications to existing in situ hybridization protocols and uses straightforward analysis techniques. This strategy can be broadly applied to detect quantitative, spatially resolved changes in mRNA levels.</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014 Jun</publication><modification>2025-04-18T16:15:41.624Z</modification><creation>2019-03-27T01:29:40Z</creation></dates><accession>S-EPMC4048779</accession><cross_references><pubmed>24434507</pubmed><doi>10.1016/j.ymeth.2014.01.003</doi></cross_references></HashMap>