AI Article Synopsis

  • Recent advancements in genome sequencing have identified various yeasts with unique physiological traits, but the absence of effective expression tools limits their application in research and industry.
  • A new universal expression system (SES) has been developed, enabling gene expression control and genetic manipulation across a wide range of fungal species.
  • The article outlines three methods for DNA transformation and high-level gene expression using the SES system in yeast species that have little existing knowledge in genetic modifications.

Article Abstract

The current progress in sequencing of genomes and characterization of new species provides an increasing list of yeasts that show interesting physiological properties; however, the lack of expression tools for these new hosts is prohibiting their broader use in research or industry. Recently, we developed a universal expression system (SES) functional in broad spectrum of fungal species, which represent a solution for feasible gene expression control and genetic manipulation in these novel hosts. Here, we describe three example approaches for DNA transformation and high-level heterologous gene expression, using the SES system, in three yeast species, where minimal knowledge or prior experience in genetic modifications is available.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-0716-2399-2_13DOI Listing

Publication Analysis

Top Keywords

gene expression
12
expression system
8
yeast species
8
expression
5
universal gene
4
system novel
4
novel yeast
4
species
4
species current
4
current progress
4

Similar Publications

Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.

View Article and Find Full Text PDF

Purpose: After failing primary and secondary hormonal therapy, castration-resistant and neuroendocrine prostate cancer metastatic to the bone is invariably lethal, although treatment with docetaxel and carboplatin can modestly improve survival. Therefore, agents targeting biologically relevant pathways in PCa and potentially synergizing with docetaxel and carboplatin in inhibiting bone metastasis growth are urgently needed.

Experimental Design: Phosphorylated (activated) AXL expression in human prostate cancer bone metastases was assessed by immunohistochemical staining.

View Article and Find Full Text PDF

Spatial transcriptomics enhances our understanding of cellular organization by mapping gene expression data to precise tissue locations. Here, we present a protocol for using weighted ensemble method for spatial transcriptomics (WEST), which uses ensemble techniques to boost the robustness and accuracy of existing algorithms. We describe steps for preprocessing data, obtaining embeddings from individual algorithms, and ensemble integrating all embeddings as a similarity matrix.

View Article and Find Full Text PDF
Article Synopsis
  • Primary ciliary dyskinesia (PCD) is a rare genetic disorder linked to chronic respiratory issues, infertility, and problems with body asymmetry, primarily caused by mutations in the CCDC39 and CCDC40 genes.
  • Researchers used advanced techniques to investigate how these genetic variants impact cellular functions beyond just causing cilia to stop moving.
  • They discovered that the absence of CCDC39/CCDC40 creates a significant loss of over 90 ciliary structural proteins, leading to cilia dysfunction and other cellular issues, suggesting that gene therapy could potentially offer a new treatment strategy for PCD.
View Article and Find Full Text PDF

Primary mitochondrial disorders are most often caused by deleterious mutations in the mitochondrial DNA (mtDNA). Here, we used a mitochondrial DddA-derived cytosine base editor (DdCBE) to introduce a compensatory edit in a mouse model that carries the pathological mutation in the mitochondrial transfer RNA (tRNA) alanine (mt-tRNA) gene. Because the original m.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!