The U1 small ribonucleoprotein (U1 snRNP) plays a pivotal role in the intricate process of gene expression, specifically within nuclear RNA processing. By initiating the splicing reaction and modulating 3’-end processing, U1 snRNP exerts precise control over RNA metabolism and gene expression. This ribonucleoparticle is abundantly present, and its complex biogenesis necessitates shuttling between the nuclear and cytoplasmic compartments. Over the past three decades, extensive research has illuminated the crucial connection between disrupted U snRNP biogenesis and several prominent human diseases, notably various neurodegenerative conditions. The perturbation of U1 snRNP homeostasis has been firmly established in diseases such as Spinal Muscular Atrophy, Pontocerebellar hypoplasia, and FUS-mediated Amyotrophic Lateral Sclerosis. Intriguingly, compelling evidence suggests a potential correlation in Fronto-temporal dementia and Alzheimer’s disease as well. Although the U snRNP biogenesis pathway is conserved across all eukaryotic cells, neurons, in particular, appear to be highly susceptible to alterations in spliceosome homeostasis. In contrast, other cell types exhibit a greater resilience to such disturbances. This vulnerability underscores the intricate relationship between U1 snRNP dynamics and the health of neuronal cells, shedding light on potential avenues for understanding and addressing neurodegenerative disorders.

The actin cytoskeleton is a biosensor of cellular stress and a potential prognosticator of human disease. In particular, aberrant cytoskeletal structures such as stress granules formed in response to energetic and oxidative stress are closely linked to ageing, cancer, cardiovascular disease, and viral infection. Whether these cytoskeletal phenomena can be harnessed for the development of biosensors for cytoskeletal dysfunction and, by extension, disease progression, remains an open question. In this work, we describe the design and development of an optogenetic iteration of profilin, an actin monomer binding protein with critical functions in cytoskeletal dynamics. We demonstrate that this optically activated profilin (‘OptoProfilin’) can act as an optically triggered biosensor of applied cellular stress in select immortalized cell lines. Notably, OptoProfilin is a single component biosensor, likely increasing its utility for experimentalists. While a large body of preexisting work closely links profilin activity with cellular stress and neurodegenerative disease, this, to our knowledge, is the first example of profilin as an optogenetic biosensor of stress-induced changes in the cytoskeleton.

High cell density cultivation is an established method for the production of various industrially important products such as recombinant proteins. However, these protocols are often not suitable for biocatalytic processes as often the focus lies on biomass production rather than high specific activities of the enzyme. In contrast, a range of shake flask protocols are well known with high specific activities but rather low cell densities. To overcome this gap, we established a tailor-made fed-batch protocol combining both aspects: high cell density and high specific activities of heterologously produced enzyme. Using the example of an industrially relevant amine transaminase from Bacillus megaterium, we describe a strategy to optimize the cultivation yield based on the feed rate, IPTG concentration and post-induction temperature. By adjusting these key parameters, we were able to increase the specific activity by 2.6-fold and the wet cell weight by even 17-fold compared to shake flasks. Finally, we were able to verify our established protocol by transferring it to another operator. With that, our optimization strategy can serve as a template for the production of high titers of active heterologously produced enzymes and might enable the availability of these catalysts for upscaling of biocatalytic processes.

Long non-coding RNAs (lncRNAs) are important regulators of gene expression and can associate with DNA as RNA:DNA heteroduplexes or RNA•DNA:DNA triple helix structures. Here, we review in vitro biochemical and biophysical experiments including electromobility shift assays (EMSA), circular dichroism (CD) spectroscopy, thermal melting analysis, microscale thermophoresis (MST), single-molecule Förster resonance energy transfer (smFRET) and nuclear magnetic resonance (NMR) spectroscopy to investigate RNA•DNA:DNA triple helix and RNA:DNA heteroduplex formation. We present the investigations of the antiparallel triplex-forming lncRNA MEG3 targeting the gene TGFB2 and the parallel triplex-forming lncRNA Fendrr with its target gene Emp2. The thermodynamic properties of these oligonucleotides lead to concentration-dependent heterogeneous mixtures, where a DNA duplex, an RNA:DNA heteroduplex and an RNA•DNA:DNA triplex coexist and their relative populations are modulated in a temperature-dependent manner. The in vitro data provide a reliable readout of triplex structures, as RNA•DNA:DNA triplexes show distinct features compared to DNA duplexes and RNA:DNA heteroduplexes. Our experimental results can be used to validate computationally predicted triple helix formation between novel disease-relevant lncRNAs and their DNA target genes.

Identifying the drug-target interactome of small molecule therapeutics is essential for understanding the full pharmacological effects of a compound. These therapies often induce changes within the cellular proteome, leading to unexpected consequences such as changes in the targets complexation state or off-target interactions between the compound and additional proteins. Currently, unbiased target-ID approaches are being used to embark on this task. Here we provide an overview of the strengths and limitations of these methods, and a practical step-by-step protocol for using the BioTAC system to assist with drug target and interactome ID.