Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.10.31.564873

Identification of two novel DnaJ chaperone family proteins as modifiers of Huntingtin aggregates

Abstract

Huntingtons disease (HD) is a rare neurodegenerative disease. It is caused due to aggregation of Huntingtin (HTT) protein containing Q repeats more than 40. Similar protein aggregation is also a hallmark of several other neurodegenerative diseases related to loss of cognitive function. In search of modifiers of HTT aggregation, we have screened putative chaperone proteins from Drosophila in both fly and yeast model of HD. DnaJ chaperones were screened by evaluating HTT protein aggregation related phenotypes using growth assays for studying the growth rate of the cells, imaging studies, and gel-based approaches like semi-denaturing detergent agarose gel electrophoresis (SDD-AGE). Our screening led us to categorize several proteins as suppressors and enhancers of the HTT associated phenotypes. Out of the 40 chaperones and co-chaperones, two chaperones that came up strikingly were CG5001 and P58IPK. Protein aggregation was found to be reduced in both S2 cells and Drosophila transgenic lines with HTT103Q in presence of these class of chaperones. As these DnaJ chaperones have protein sequence similarity across species, these might be used as possible tools to combat the effects of neurodegenerative diseases, as evidenced specifically in Huntingtons disease and Amyotrophic Lateral Sclerosis (ALS).

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Deo, A., Ghosh, R., Ahire, S., Majumdar, A., Bose, T.. 2023-11-02. Identification of two novel DnaJ chaperone family proteins as modifiers of Huntingtin aggregates. https://doi.org/10.1101/2023.10.31.564873

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗