Data · dataset · 2022
Chemical interference with DSIF complex formation lowers synthesis of mutant huntingtin gene products and curtails mutant phenotypes
Listed in NYCU Dataverse
Earlier work has shown that siRNA-mediated reduction of the SUPT4H or SUPT5H proteins, which interact to form the DSIF complex and facilitate transcript elongation by RNA polymerase II (RNAPII), can decrease expression of mutant gene alleles containing nucleotide repeat expansions differentially.
Description
Using luminescence and fluorescence assays, we identified chemical compounds that interfere with the SUPT4H-SUPT5H interaction and then investigated their effects on synthesis of mRNA and protein encoded by mutant alleles containing repeat expansions in the huntingtin gene (HTT), which causes the inherited neurodegenerative disorder, Huntington's Disease (HD).
Here we report that such chemical interference can differentially affect expression of HTT mutant alleles, and that a prototypical chemical, 6-azauridine (6-AZA), that targets the SUPT4H-SUPT5H interaction can modify the biological response to mutant HTT gene expression. Selective and dose-dependent effects of 6-AZA on expression of HTT alleles containing nucleotide repeat expansions were seen in multiple types of cells cultured in vitro, and in a Drosophila melanogaster animal model for HD.
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Lowering of mutant HD protein and mitigation of the Drosophila "rough eye" phenotype associated with degeneration of photoreceptor neurons in vivo were observed. Our findings indicate that chemical interference with DSIF complex formation can decrease biochemical and phenotypic effects of nucleotide repeat expansions.
Links
Where it is published
- Dataverse dataset page dataverse.lib.nycu.edu.tw/dataset.xhtml?persistentId=doi%3A10.57770%2FYNYJQ3 ↗
landing page · from dataverse lib nycu edu tw
- DOI doi.org/10.57770/ynyjq3 ↗
DOI / persistent id · from dataverse lib nycu edu tw
Catalogue records · 1
- Dataverse API dataverse.lib.nycu.edu.tw/api/datasets/:persistentId/?persistentId=doi%3A10.57770%2FYNYJ… ↗
metadata API · from dataverse lib nycu edu tw
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Disease 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NYCU Dataverse | doi:10.57770/YNYJQ3 | 22 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:disease | enrichment · dataverse lib nycu edu tw | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /subjects |
| created_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| description | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /description |
| publication_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| title | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | /name |
| updated_date | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 | |
| version_label | source · dataverse lib nycu edu tw | connector:dataverse_lib_nycu_edu_tw@1.0.0 |