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| Main Authors: | , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
bioRxiv : the preprint server for biology
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40196544/ |
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| _version_ | 1868266220997836802 |
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| author | Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro |
| author_facet | Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro |
| collection | PubMed - marine biology |
| contents | Automated, high-throughput in-situ hybridization of embryos. Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro Despite the reach of hybridization (ISH) in developmental biology, it has rarely been used at scale. The major limitation has been the throughput of the assay, which typically relies upon labor intensive manual steps. The goal of this study was to develop a fully automated hybridization chain reaction (HCR) pipeline capable of large-scale gene expression pattern profiling, with dramatically reduced cost and effort, in the sea urchin . Our resulting pipeline, which we term high throughput (HT)-HCR, can process 192 gene probe sets on whole-mount embryos within 32 hours. The unique qualities of the sea urchin embryo enabled us to automate the entire HCR assay in a 96-well plate format, and utilize highly miniaturized reaction volumes, a general purpose robotic liquid handler, and automated confocal microscopy. From this approach we produced high quality localization data for 101 target genes across three developmental stages of . The results reveal the localization of previously undescribed physiological genes, as well as canonical developmental transcription factors. HT-HCR represents a log order increase in the rate at which spatial transcriptomic data can be resolved in the sea urchin. This study paves the way for localization of understudied genes and for sophisticated perturbation analysis. |
| format | Artículo científico |
| id | pubmed_40196544 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | bioRxiv : the preprint server for biology |
| record_format | pubmed |
| spellingShingle | Automated, high-throughput in-situ hybridization of embryos. Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro Automated, high-throughput in-situ hybridization of embryos. Lee, Yoon Jenniches, Chloe Metry, Rachel Renaudin, Gloria Kling, Svenja Tjeerdema, Evan Jackson, Elliot W Hamdoun, Amro Despite the reach of hybridization (ISH) in developmental biology, it has rarely been used at scale. The major limitation has been the throughput of the assay, which typically relies upon labor intensive manual steps. The goal of this study was to develop a fully automated hybridization chain reaction (HCR) pipeline capable of large-scale gene expression pattern profiling, with dramatically reduced cost and effort, in the sea urchin . Our resulting pipeline, which we term high throughput (HT)-HCR, can process 192 gene probe sets on whole-mount embryos within 32 hours. The unique qualities of the sea urchin embryo enabled us to automate the entire HCR assay in a 96-well plate format, and utilize highly miniaturized reaction volumes, a general purpose robotic liquid handler, and automated confocal microscopy. From this approach we produced high quality localization data for 101 target genes across three developmental stages of . The results reveal the localization of previously undescribed physiological genes, as well as canonical developmental transcription factors. HT-HCR represents a log order increase in the rate at which spatial transcriptomic data can be resolved in the sea urchin. This study paves the way for localization of understudied genes and for sophisticated perturbation analysis. |
| title | Automated, high-throughput in-situ hybridization of embryos. |
| url | https://pubmed.ncbi.nlm.nih.gov/40196544/ |