Molecular Biology

It has been discovered that many phytopathogenic fungi can absorb exogenous double-stranded RNAs (dsRNAs) to silence target genes, inhibiting fungal growth and pathogenicity for plant protection. In our recent report, the beneficial arbuscular mycorrhizal (AM) fungi are capable of acquiring external naked dsRNAs; however, whether the dsRNAs can be delivered into AM fungi through nanocarriers remains to be investigated. Here, we introduce a simple and advanced method for in vitro synthesizing chitosan (CS)/dsRNA polyplex nanoparticles (PNs) to silence the target gene in the AM fungus Rhizophagus irregularis. This method is straightforward, requiring minimal modifications, and is both efficient and eco-friendly, offering potential for rapid application in elucidating gene functions in AM fungi.

In many plant species, self-incompatibility (SI) is a mechanism that inhibits inbreeding. SI is gametophytic in the Solanaceae, with specificity determined by S-ribonucleases (S-RNases) in the pistil and S-locus F-box proteins (SLFs) in the pollen. The role of these proteins has been studied extensively in the Solanaceae, often using Petunia as a model. Using degenerate PCR and Sanger sequencing, this protocol identified three SLF sequences from self-incompatible diploid potato (Solanum okadae). While SLFs are well-characterized in model species like Petunia, there is limited sequence data and no standardized protocols for identifying SLFs in non-model species such as S. okadae, hindering broader insights into SI across the Solanaceae. This protocol fills that gap by using degenerate PCR and Sanger sequencing with primers designed from conserved Petunia SLF regions to identify SLF sequences in S. okadae. SLF sequences from 10 distinct Solanaceae members sharing maximum identity with the S2-haplotype of Petunia were used to design two pairs of primers targeting different regions of the target sequence. PCR amplification using designed degenerate primers yielded amplicons that were directly sequenced and joined together to get the partial SLF sequence. It was observed that the S. okadae shared an orthologous relation with the Petunia SLF according to the phylogenetic analysis. These SLFs could be used in future SI breakdown experiments via the competitive interaction route. This protocol, including the primer design, is novel for detecting SLF sequences in S. okadae.

We have observed that some proinsulin molecules in pancreatic islets and beta cell lines have incomplete or improper intramolecular disulfide bonds. These misfolded monomers can form intermolecular disulfide-linked complexes. Accurately quantifying the fraction of proinsulin molecules contained in these complexes is challenging. By proinsulin immunoblotting after nonreducing SDS-PAGE, the signal for disulfide-linked complexes can exceed the total proinsulin signal detected after reducing SDS-PAGE (i.e., overestimating the abundance of misfolded species due to antibody affinity differences). However, after modification of the SDS-PAGE and electrotransfer protocol, we have been able to more accurately estimate the fraction of proinsulin monomers folded to the native state, as well as misfolded proinsulin monomers and disulfide-linked complexes. Our improved technique offers the ability to obtain a more precise assessment of proinsulin misfolding under different environmental conditions in beta cells and normal islets and in diabetes.

A covalently closed loop structure provides circular RNA (circRNA) with more stability than conventional RNAs in linear form, making circRNA an emerging tool in RNA therapeutics. The qualification and quantification of circRNA after production is critical for its design and effectiveness assessments, particularly when the following applications could be affected by byproduct RNAs. Despite PCR-based methods effectively detecting low-abundance circRNA, they are unsuitable for assessing uncircularized RNA in a mass production fraction to maintain quality control. Here, we present a straightforward protocol for evaluating uncircularized byproduct RNAs from circRNA production. This method enrolls the template-independent RNA polymerase activity to add adenine tails (polyA) to the 3' ends of a linear RNA, making it easy to distinguish trace byproducts or uncircularized RNA from a pool of mass circRNA products. With conventional linear RNA and RNase R-treated circRNA as the positive and negative controls, the purity of a circRNA preparation could be readily resolved. Regardless of circRNA production strategies, this protocol provides a reliable and practical way to ensure the consistent quality of homemade circRNAs or to recheck circRNA quality from commercial manufacturing.

Sciatic nerve injury is a prevalent traumatic condition that significantly impacts a patient's quality of life. The sciatic nerve compression injury model is among the most commonly utilized models for investigating nerve repair and regeneration. Within this context, the degree III sciatic nerve injury model is frequently employed in scientific research due to its clinical relevance and its suitability for studies focused on functional recovery. However, a standardized approach for accurately assessing the success of constructing the degree III sciatic nerve injury model remains lacking. Traditional macroscopic observation methods exhibit limitations, whereas neurophysiological testing serves as a highly sensitive and objective evaluation technique that can directly reflect changes in nerve conduction function, thus providing reliable quantitative evidence for the successful establishment of the model. This study aims to offer a comprehensive description of the application of neurophysiological techniques in evaluating the construction of the degree III sciatic nerve injury model, thereby ensuring the success of model preparation.

The standard protocols for allelic exchange using homologous recombination deploy suicide vectors with negative selection markers. However, the use of multiple restriction enzymes to generate sticky ends in the vector and the insert for cloning is time-consuming, resource-intensive, and challenging. The advent of next-generation proofreading enzymes is enabling researchers to routinely carry out long-range PCR. Hence, amplifying 5–6 kb of complete low-complex DNA cloning vectors and 2–3 kb of complex genomic regions is much easier. Here, we report a simple, accurate, rapid, and unidirectional approach for chromosomal in-frame gene deletion and complementation by reconstitution of the full-length gene without using any restriction enzymes. The method requires long-range PCR using Phusion polymerase to linearize the vector and amplify the target gene to create a recombinant vector (pRM1) and further inverse PCR amplification of pRM1 to create a recombinant vector (pRM4) with a deleted version of the gene. The cloning steps involve the use of kinase and ligase for phosphorylation and ligation steps, respectively. The recombinant plasmid, pRM4, is finally transformed into electrocompetent cells of Xanthomonas sontii, a gram-negative phytobacterium, for final genomic integration/excision to obtain an in-frame gene deletion mutant (PPL1RM15). Gene reconstitution for complementation is carried out by electroporating the deletion mutant with the recombinant plasmid (pRM1) carrying the wild-type allele. Clean gene mutation, allele restoration, and plasmid excision are confirmed using whole-genome sequencing.

The silkworm Bombyx mori has been extensively utilized in sericulture and serves as a representative model insect of Lepidoptera in various fields of life sciences and applied research. In recent years, its significance has further increased in molecular genetics and functional genomics. Germline transformation and genome editing in B. mori require the injection of vector solutions into early embryos; however, the thick eggshell of B. mori presents a significant challenge for microinjection. Conventional methods involve arranging eggs, pre-pierced with a tungsten needle, followed by solution injection, making the process both time-consuming and technically demanding. Here, we describe a simplified and more efficient microinjection protocol. Unlike conventional approaches, our method eliminates the need for egg removal from the egg-laying sheet and egg alignment on the slide glass by allowing injections to be performed directly on eggs retained on the egg-laying sheet. A thick-walled glass capillary, capable of penetrating the rigid eggshell, is used to directly pierce the eggshell and deliver the solution. By eliminating the need for egg alignment and micromanipulator operation, this protocol significantly enhances efficiency, enabling higher-throughput embryo injections within a shorter time frame. Moreover, this approach holds potential for application to other insect species with similarly thick eggshells.

The accurate quantification of nucleic acid–based biomarkers, including long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), and microRNAs (miRNAs), is essential for disease diagnostics and risk assessment across the biological spectrum. Quantitative reverse transcription PCR (qRT-PCR) is the gold standard assay for the quantitative measurement of RNA expression levels, but its reliability depends on selecting stable reference targets for normalization. Yet, the lack of consensus on a universally accepted reference gene for a given sample type or species, despite being necessary for accurate quantification, presents a challenge to the broad application of such biomarkers. Various tools are currently being used to identify a stably expressed gene by using qRT-PCR data of a few potential normalizer genes. However, existing tools for normalizer gene selection are fraught with both statistical limitations and inadequate graphical user interfaces for data visualization. gQuant, the tool presented here, essentially overcomes these limitations. The tool is structured in two key components: the preprocessing component and the data analysis component. The preprocessing addresses missing values in the given dataset by the imputation strategies. After data preprocessing, normalizer genes are ranked using democratic strategies that integrate predictions from multiple statistical methods. The effectiveness of gQuant was validated through data available online as well as in-house data derived from urinary exosomal miRNA expression datasets. Comparative analysis against existing tools demonstrated that gQuant delivers more stable and consistent rankings of normalizer genes. With its promising performance, gQuant enhances the precision and reproducibility in the identification of normalizer genes across diverse research scenarios, addressing key limitations of RNA biomarker–based translational research.

Traditional tissue dissociation methods for bulk- and single-cell sequencing use various protease and/or collagenase combinations at temperatures ranging from 28 to 37 °C, which cause transcriptional cell stress that may alter data interpretation. Such artifacts can be reduced by dissociating cells in cold-active proteases, but few studies have shown that this improves cell-type specific transcription, particularly in tissues hypersensitive to mechanical integrity and extracellular matrix (ECM) interactions. To address this, we have dissociated zebrafish tendons and ligaments in subtilisin A at 4 °C and compared the results with 37 °C collagenase dissociation using bulk RNA sequencing. We find that high-temperature collagenase dissociation causes general cell stress in tendon fibroblasts (tenocytes) as reported in previous studies with other cell types, but also that high temperature specifically downregulates hallmark genes involved in tenocyte specification and ECM production in vivo. Our results suggest that cold-protease dissociation reduces transcriptional artifacts and increases the robustness of RNA-sequencing datasets such that they better reflect native in vivo tissue microenvironments.

DNA extraction is a crucial step in molecular biology research, particularly for genetic and genomic analyses. These studies require a high concentration of high-quality DNA, which is often a challenge for underexplored species or when the available plant material consists of aged tissue. To address these challenges, the cetyltrimethylammonium bromide (CTAB)-based DNA extraction method has been optimized to improve efficiency and yield. The process begins with an overnight incubation of plant tissue macerated with liquid nitrogen in a solution containing a high concentration of CTAB (4%). Subsequently, the mixture undergoes two washes with chloroform: isoamyl alcohol. The nucleic acids are then precipitated using isopropanol, followed by a wash with 70% ethanol to ensure purity. Finally, the purified DNA is resuspended in ultrapure water. This optimized procedure produces high-quality DNA suitable for various downstream applications, including PCR and sequencing, even from older leaves of the three Theobroma species: T. cacao, T. bicolor, and T. grandiflorum. Additionally, this protocol significantly enhances throughput and allows for the parallel processing of a substantially larger number of samples compared to conventional techniques.