Gene Expression in Filamentous Fungi: Advantages and Disadvantages Compared to Other Systems

2016 ◽  
pp. 201-226
Author(s):  
Nada Kraševec ◽  
Mojca Benčina
Keyword(s):  
Gene Expression ◽  
Filamentous Fungi ◽  
Advantages And Disadvantages

scholarly journals Compendium of Methods to Uncover RNA-Protein Interactions In Vivo

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Mrinmoyee Majumder ◽  
Viswanathan Palanisamy
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Expression Patterns ◽  
Control Of Gene Expression ◽  
Regulatory Pathways ◽  
Advantages And Disadvantages ◽  
Protein Nucleic Acid

Control of gene expression is critical in shaping the pro-and eukaryotic organisms’ genotype and phenotype. The gene expression regulatory pathways solely rely on protein–protein and protein–nucleic acid interactions, which determine the fate of the nucleic acids. RNA–protein interactions play a significant role in co- and post-transcriptional regulation to control gene expression. RNA-binding proteins (RBPs) are a diverse group of macromolecules that bind to RNA and play an essential role in RNA biology by regulating pre-mRNA processing, maturation, nuclear transport, stability, and translation. Hence, the studies aimed at investigating RNA–protein interactions are essential to advance our knowledge in gene expression patterns associated with health and disease. Here we discuss the long-established and current technologies that are widely used to study RNA–protein interactions in vivo. We also present the advantages and disadvantages of each method discussed in the review.

scholarly journals Transcriptome Analysis of Recombinant Protein Secretion by Aspergillus nidulans and the Unfolded-Protein Response In Vivo

2005 ◽  
Vol 71 (5) ◽  
pp. 2737-2747 ◽  
Author(s):  
Andrew H. Sims ◽  
Manda E. Gent ◽  
Karin Lanthaler ◽  
Nigel S. Dunn-Coleman ◽  
Stephen G. Oliver ◽  
...  
Keyword(s):  
Gene Expression ◽  
Recombinant Protein ◽  
Unfolded Protein Response ◽  
Aspergillus Nidulans ◽  
Filamentous Fungi ◽  
Protein Secretion ◽  
Unfolded Protein ◽  
The Unfolded Protein Response ◽  
Protein Response

ABSTRACT Filamentous fungi have a high capacity for producing large amounts of secreted proteins, a property that has been exploited for commercial production of recombinant proteins. However, the secretory pathway, which is key to the production of extracellular proteins, is rather poorly characterized in filamentous fungi compared to yeast. We report the effects of recombinant protein secretion on gene expression levels in Aspergillus nidulans by directly comparing a bovine chymosin-producing strain with its parental wild-type strain in continuous culture by using expressed sequence tag microarrays. This approach demonstrated more subtle and specific changes in gene expression than those observed when mimicking the effects of protein overproduction by using a secretion blocker. The impact of overexpressing a secreted recombinant protein more closely resembles the unfolded-protein response in vivo.

Heterologous gene expression by filamentous fungi: secretion of human interleukin-6 by Aspergillus nidulans

Gene ◽  
1990 ◽  
Vol 94 (2) ◽  
pp. 147-154 ◽  
Author(s):  
Dirk Carrez ◽  
Wouter Janssens ◽  
Patrick Degrave ◽  
Cees A.M.J.J. van den Hondel ◽  
James R. Kinghorn ◽  
...  
Keyword(s):  
Gene Expression ◽  
Aspergillus Nidulans ◽  
Filamentous Fungi ◽  
Interleukin 6 ◽  
Heterologous Gene Expression ◽  
Heterologous Gene

Gene expression systems for filamentous fungi

1991 ◽  
Vol 2 (5) ◽  
pp. 691-697 ◽  
Author(s):  
Timothy Fowler ◽  
Randy M. Berka
Keyword(s):  
Gene Expression ◽  
Filamentous Fungi ◽  
Expression Systems

scholarly journals Profiling of chromatin accessibility identifies transcription factor binding sites across the genome of Aspergillus species

BMC Biology ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lianggang Huang ◽  
Xuejie Li ◽  
Liangbo Dong ◽  
Bin Wang ◽  
Li Pan
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Filamentous Fungi ◽  
Binding Sites ◽  
Transcription Factor Binding ◽  
Chromatin Accessibility ◽  
Culture Conditions ◽  
Factor Binding ◽  
Tn5 Transposase

Abstract Background The identification of open chromatin regions and transcription factor binding sites (TFBs) is an important step in understanding the regulation of gene expression in diverse species. ATAC-seq is a technique used for such purpose by providing high-resolution measurements of chromatin accessibility revealed through integration of Tn5 transposase. However, the existence of cell walls in filamentous fungi and associated difficulty in purifying nuclei have precluded the routine application of this technique, leading to a lack of experimentally determined and computationally inferred data on the identity of genome-wide cis-regulatory elements (CREs) and TFBs. In this study, we constructed an ATAC-seq platform suitable for filamentous fungi and generated ATAC-seq libraries of Aspergillus niger and Aspergillus oryzae grown under a variety of conditions. Results We applied the ATAC-seq assay for filamentous fungi to delineate the syntenic orthologue and differentially changed chromatin accessibility regions among different Aspergillus species, during different culture conditions, and among specific TF-deleted strains. The syntenic orthologues of accessible regions were responsible for the conservative functions across Aspergillus species, while regions differentially changed between culture conditions and TFs mutants drove differential gene expression programs. Importantly, we suggest criteria to determine TFBs through the analysis of unbalanced cleavage of distinct TF-bound DNA strands by Tn5 transposase. Based on this criterion, we constructed data libraries of the in vivo genomic footprint of A. niger under distinct conditions, and generated a database of novel transcription factor binding motifs through comparison of footprints in TF-deleted strains. Furthermore, we validated the novel TFBs in vivo through an artificial synthetic minimal promoter system. Conclusions We characterized the chromatin accessibility regions of filamentous fungi species, and identified a complete TFBs map by ATAC-seq, which provides valuable data for future analyses of transcriptional regulation in filamentous fungi.

Antisense technology: biological utility and practical considerations

1993 ◽  
Vol 265 (1) ◽  
pp. L1-L12 ◽  
Author(s):  
L. Neckers ◽  
L. Whitesell
Keyword(s):  
Gene Expression ◽  
Antisense Rna ◽  
Antisense Technology ◽  
Advantages And Disadvantages ◽  
Recent Approach ◽  
Modulation Of Gene Expression ◽  
The Common ◽  
Rna And Dna

Antisense RNA and DNA techniques have been developed as a relatively recent approach to the specific modulation of gene expression in vitro and in vivo. This review discusses general considerations for the application of antisense techniques. We shall examine the relative advantages and disadvantages of DNA versus RNA techniques, as well as the common pitfalls peculiar to each strategy.

scholarly journals Genomic methods in profiling DNA accessibility and factor localization

2019 ◽  
Vol 28 (1) ◽  
pp. 69-85 ◽  
Author(s):  
David C. Klein ◽  
Sarah J. Hainer
Keyword(s):  
Gene Expression ◽  
Dna Sequences ◽  
Protein Localization ◽  
Regulation Of Gene Expression ◽  
Regulatory Regions ◽  
Histone Proteins ◽  
Putative Gene ◽  
Factor Binding ◽  
Advantages And Disadvantages ◽  
Dna Accessibility

AbstractRecent advancements in next-generation sequencing technologies and accompanying reductions in cost have led to an explosion of techniques to examine DNA accessibility and protein localization on chromatin genome-wide. Generally, accessible regions of chromatin are permissive for factor binding and are therefore hotspots for regulation of gene expression; conversely, genomic regions that are highly occupied by histone proteins are not permissive for factor binding and are less likely to be active regulatory regions. Identifying regions of differential accessibility can be useful to uncover putative gene regulatory regions, such as enhancers, promoters, and insulators. In addition, DNA-binding proteins, such as transcription factors that preferentially bind certain DNA sequences and histone proteins that form the core of the nucleosome, play essential roles in all DNA-templated processes. Determining the genomic localization of chromatin-bound proteins is therefore essential in determining functional roles, sequence motifs important for factor binding, and regulatory networks controlling gene expression. In this review, we discuss techniques for determining DNA accessibility and nucleosome positioning (DNase-seq, FAIRE-seq, MNase-seq, and ATAC-seq) and techniques for detecting and functionally characterizing chromatin-bound proteins (ChIP-seq, DamID, and CUT&RUN). These methods have been optimized to varying degrees of resolution, specificity, and ease of use. Here, we outline some advantages and disadvantages of these techniques, their general protocols, and a brief discussion of their development. Together, these complimentary approaches have provided an unparalleled view of chromatin architecture and functional gene regulation.

scholarly journals Assessing exposure effects on gene expression

2019 ◽  
Author(s):  
Sarah A. Reifeis ◽  
Michael G. Hudgens ◽  
Mete Civelek ◽  
Karen L. Mohlke ◽  
Michael I. Love
Keyword(s):  
Gene Expression ◽  
Regression Model ◽  
Analysis Pipeline ◽  
Current Smoking ◽  
Exposure Effect ◽  
Advantages And Disadvantages ◽  
Effect Estimation ◽  
Data Analysis Pipeline ◽  
Influence Gene Expression

AbstractIn observational genomics datasets, there is often confounding of the effect of an exposure on gene expression. To adjust for confounding when estimating the exposure effect, a common approach involves including potential confounders as covariates with the exposure in a regression model of gene expression. However, when the exposure and confounders interact to influence gene expression, the fitted regression model does not necessarily estimate the overall effect of the exposure. Using inverse probability weighting (IPW) or the parametric g-formula in these instances is straightforward to apply and yields consistent effect estimates. IPW can readily be integrated into a genomics data analysis pipeline with upstream data processing and normalization, while the g-formula can be implemented by making simple alterations to the regression model. The regression, IPW, and g-formula approaches to exposure effect estimation are compared herein using simulations; advantages and disadvantages of each approach are explored. The methods are applied to a case study estimating the effect of current smoking on gene expression in adipose tissue.

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