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Freitag, J.

Publications and source records attributed to Freitag, J..

5 recordsLinked to original sources

Selective accumulation of matrix proteins inside of peroxisomal subdomains

Formation of specialized reaction spaces prevents interference between distinct cellular pathways. Peroxisomes are cellular compartments involved in a large diversity of metabolic processes. How peroxisomes differentiate into subpopulations and by which mechanism intraorganellar domains are formed remains largely elusive. Here, we report on enzymes from the fungus Ustilago maydis, which accumulate inside of peroxisomal subdomains. We describe a short peptide motif (Thr-Ile-Ile-Val) sufficient to trigger focal localization. Mining for proteins with similar motifs uncovered several peroxisomal matrix proteins that accumulate in intraorganellar foci. These foci are enriched in the enzyme urate oxidase - a typical constituent of the paracrystalline core of peroxisomes. Upon peroxisome proliferation uneven distribution of focal structures results in the formation of peroxisome subpopulations with different protein content. The underlying principle of subdomain formation is evolutionary conserved in mammalian peroxisomes and formation of similar foci was also observed inside of mitochondria. We propose that peroxisomal proteins show an individual propensity to self-assemble. This formation of protein aggregates appears to be a ubiquitous driving force to spatially organize the peroxisomal proteome.

cell biology↗

Dually targeted proteins regulate proximity between peroxisomes and partner organelles

Peroxisomes play a central role in fatty acid metabolism. To correctly target to peroxisomes, proteins require specialized targeting signals. One mystery in the field is sorting of proteins that carry both a targeting signal for peroxisomes as well as for other organelles such as mitochondria or the endoplasmic reticulum (ER). Exploring several of these dually localized proteins in Saccharomyces cerevisiae, we observed that they can act as dynamic tethers bridging organelles together through an affinity for organelle-destined targeting factors. We show that this mode of tethering involves the peroxisome import machinery, the ER- mitochondria encounter structure (ERMES) in the case of mitochondria and the GET complex in the case of the ER. Depletion of each of the targeting factors resulted in the accumulation of smaller peroxisomes. We propose that dual targeting of proteins occurs at contact sites and that protein import per se contributes to the maintenance of these membrane proximities. This introduces a previously unexplored concept of how targeting of dual affinity proteins can support organelle attachment, growth and communication.

cell biology↗

Multi-omics profiling of collagen-induced arthritis mouse model reveals early metabolic dysregulation via SIRT1 axis

Rheumatoid arthritis (RA) is characterized by joint infiltration of immune cells and synovial inflammation which leads to progressive disability. Current treatments improve the disease outcome, but the unmet medical need is still high. New discoveries over the last decade have revealed the major impact of cellular metabolism on immune cell functions. So far, a comprehensive understanding of metabolic changes during disease development, especially in the diseased microenvironment, is still limited. Therefore, we studied the longitudinal metabolic changes during the development of murine arthritis integrating metabolomics and bulk RNA-seq data. We identified an early change in macrophage pathways which was accompanied by oxidative stress, a drop in NAD+ level and induction of glucose transporters. We discovered inhibition of SIRT1, a NAD-dependent histone deacetylase and confirmed its dysregulation in human macrophages and synovial tissue of RA patients. Mining this database should enable the discovery of novel metabolic targets and therapy opportunities in RA.

cell biology↗

Myth-busting the provider-user relationship for digital sequence information

The United Nations Convention on Biological Diversity (CBD) formally recognized the sovereign rights of nations over their biological diversity. Implicit within the treaty is the idea that mega-biodiverse countries will provide genetic resources and grant access to them and scientists in high-income countries will use these resources and share back benefits. However, little research has been conducted on how this framework is reflected in real-life scientific practice. Currently, parties to the CBD) are debating whether or not digital sequence information (DSI) should be regulated under a new benefit-sharing framework. At this critical time point in the upcoming international negotiations, we test the fundamental hypothesis of provision and use by looking at the global patterns of access and use in scientific publications. Our data reject the provider-user relationship and suggest far more complex information flow for digital sequence information. Therefore, any new policy decisions on digital sequence information should be aware of the high level of use of DSI across low- and middle-income countries and seek to preserve open access to this crucial common good.

scientific communication and education↗

Quantitative monitoring of nucleotide sequence data from genetic resources in context of their citation in the scientific literature

BackgroundLinking nucleotide sequence data (NSD) to scientific publication citations can enhance understanding of NSDs provenance, scientific use, and re-use in the community. By connecting publications with NSD records, NSD geographical provenance information, and author geographical information, it becomes possible to assess the contribution of NSD to infer trends in scientific knowledge gain at the global level. FindingsFor this data note, we extracted and linked records from the European Nucleotide Archive to citations in open-access publications aggregated at Europe PubMed Central. A total of 8,464,292 ENA accessions with geographical provenance information were associated with publications. We conducted a data quality review to uncover potential issues in publication citation information extraction and author affiliation tagging and developed and implemented best-practice recommendations for citation extraction. Flat data tables and an data warehouse with an interactive web application were constructed to enable ad hoc exploration of NSD use and summary statistics. ConclusionsThe extraction and linking of NSD with associated publication citations enables transparency. The quality review contributes to enhanced text mining methods for identifier extraction and use. Furthermore, the global provision and use of NSD enables scientists around the world to join literature and sequence databases in a multidimensional fashion. As a concrete use case, statistics of country clusters were visualized with respect to NSD access in the context of discussions around digital sequence information under the United Nations Convention on Biological Diversity.

bioinformatics↗