ELECTROPHORESIS最新文献

Double-stranded RNA is an immunogenic byproduct present in RNA synthesized with in vitro transcription. dsRNA byproducts engage virus-sensing innate immunity receptors and cause inflammation. Removing dsRNA from in vitro transcribed messenger RNA (mRNA) reduces immunogenicity and improves protein translation. Levels of dsRNA are typically 0.1%–0.5% of total transcribed RNA. Because they form such a minor fraction of the total RNA in transcription reactions, it is difficult to confidently identify discrete bands on agarose gels that correspond to the dsRNA byproducts. Thus, the sizes of dsRNA byproducts are largely unknown. Total levels of dsRNA are typically assayed with dsRNA-specific antibodies in ELISA and immuno dot-blot assays. Here we report a dsRNA-specific immuno-northern blot technique that provides a clear picture of the dsRNA size distributions in transcribed RNA. This technique could complement existing dsRNA analytical methods in studies of dsRNA byproduct synthesis, dsRNA removal, and characterization of therapeutic RNA drug substances.

Saliva is a common biological examination material at crime scenes and has high application value in forensic case investigations. It can reflect the suspect's time of crime at the scene and provide evidence of the suspect's criminal facts. Even though many researchers have proposed their experimental protocols for estimating the time since deposition (TsD) of saliva, there is still a relative lack of research on the use of microorganisms to estimate TsD. In the current study, the succession change of microbial community in saliva with different TsD values was explored to discern the microbial markers related to TsD of saliva. We gathered saliva samples from six unrelated healthy Han individuals living in Guizhou, China and exposed these samples to indoor conditions at six time points (0, 1, 3, 7, 15, and 28 days). Temporal changes of microbial compositions in these samples were investigated by 16S rRNA sequencing (V3–V4 regions). By assessing temporal variation patterns of microbial abundance at the genus level, four bacteria (Brucella, Prevotella, Pseudomonas, and Fusobacterium) were observed to show good time dependence in these samples. In addition, the hierarchical clustering and principal co-ordinates analysis results revealed that these saliva samples could be classified into t-short (≤7 days) and t-long (>7 days) groups. In the end, the random forest model was developed to predict the TsD of these samples. For the model, the root mean square error, R², and mean absolute error between predicted and actual TsD values were 1.5213, 0.9851, and 1.1969, respectively. To sum up, we identified TsD-related microbial markers in saliva samples, which could be viewed as valuable markers for inferring the TsD of saliva.

Genetic factors, diet, lifestyle, and other factors lead to various complications in the body, such as obesity and other chronic diseases. The inflammatory state caused by excessive accumulation of body fat affects the pathways related to the control of glycemic homeostasis, leading to a high demand for insulin, to subsequent failure of stressed β cells, and development of type 2 diabetes mellitus (T2DM). The study of new endocrine signalers, such as bile acids (BAs), becomes necessary as it allows the development of alternatives for T2DM treatment. In this work, a methodology was developed to quantify tauroursodeoxycholic BA (TUDCA) in liver cells of the HepG2 strain treated in hyperlipidic medium. This BA helps to improve insulin clearance by increasing the expression of the insulin-degrading enzyme, restoring sensitivity to this hormone, and making it viable for treating T2DM. Herein, a targeted metabolomic method for TUDCA determination in extracellular medium of hepatocyte matrices by micellar electrokinetic chromatography-UV was optimized, validated, and applied. The optimized background electrolyte was composed of 40 mmol/L sodium cholate and 30 mmol/L sodium tetraborate at pH 9.0. The following figures of merit were evaluated: linearity, limit of quantification, limit of detection, accuracy, and precision. Data obtained with the validated electrophoretic method showed a self-stimulation of TUDCA production in media supplemented only with BA. On the other hand, TUDCA concentration was reduced in the hyperlipidic medium. This suggests that, in these media, the effect of TUDCA is reduced, such as self-stimulated production and consequent regulation of glycemic homeostasis. Therefore, the results reinforce the need for investigating TUDCA as a potential T2DM biomarker as well as its use to treat several comorbidities, such as obesity and diabetes mellitus.

DOI: 10.1002/elps.202300234

The cover picture shows nanopore sequencing platforms can be used to identify individuals in the field. Through scientific and reasonable design, a Nanopore MinION MK1B device and other auxiliary devices are integrated into a portable detection box conducive to individual identification at the accident site. It could be optimistically predicted that further improvements in bioinformatics workflows and nanopore sequencing technology will help enhance the feasibility of Oxford Nanopore Technologies (ONT) equipment for real-time individual identification at accident sites.

Therapeutic peptides have emerged as an innovative and promising class of therapeutic compounds in modern medicine. Synthetic peptide analogs triptorelin and lanreotide are known for their pronounced clinical versatility and potency. In this study, we present the development and validation of novel methods based on capillary zone electrophoresis performed in hydrodynamically closed system (HCS) and paired with ultraviolet detection and repeated injection sample introduction. To the best of our knowledge, we developed the first capillary electrophoresis-based method for the determination of lanreotide, and concurrently, the first HCS method for the determination of triptorelin. Maximal separation efficiency and signal intensity were achieved using background electrolytes composed of 50 mM formic acid with the addition of 0.05% (v/v) methyl-hydroxyethyl cellulose. The proposed methods exhibit favorable performance characteristics, namely, calibration curve (r² exceeding 0.99), low limits of detection (0.25 µg/mL in a water matrix and 0.5 µg/mL in synthetic urine), acceptable precision (relative standard deviation ranging from 2.2% to 9.6% for intraday repeatability and between 5.2% and 14.9% for interday reproducibility), and accuracy (relative errors falling within the 91.1%-107.8% range). The method for triptorelin determination was then used for its quantification in a commercially available drug dosage form (powder for injection) and in spiked synthetic urine samples. The developed methods were also evaluated according to the novel blue applicability grade index, revealing their superior applicability. The results collectively point out the potential of the proposed methods for both quality control and clinical investigations.

Dielectrophoresis (DEP), which arises from the interaction between dielectric particles and an aqueous solution in a nonuniform electric field, contributes to the manipulation of nano and microparticles in many fields, including colloid physics, analytical chemistry, molecular biology, clinical medicine, and pharmaceutics. The measurement of the DEP force could provide a more complete solution for verifying current classical DEP theories. This review reports various imaging, fluidic, optical, and mechanical approaches for measuring the DEP forces at different amplitudes and frequencies. The integration of DEP technology into sensors enables fast response, high sensitivity, precise discrimination, and label-free detection of proteins, bacteria, colloidal particles, and cells. Therefore, this review provides an in-depth overview of DEP-based fabrication and measurements. Depending on the measurement requirements, DEP manipulation can be classified into assistance and integration approaches to improve sensor performance. To this end, an overview is dedicated to developing the concept of trapping-on-sensing, improving its structure and performance, and realizing fully DEP-assisted lab-on-a-chip systems.

The viability detection of microalgae with the electrokinetic (EK) technique shows vast applications in the biology and maritime industry. However, due to the slight variations in the EK properties between alive and dead microalgae cells, the accuracy and practicability of this technique is limited. In this paper, the light illumination pretreatment was conducted to modify the EK velocity of microalgae for enhancing the EK difference. The effects of the illumination time and light color on the EK velocities of Chlorella vulgaris and Isochrysis galbana were systematically measured, and the EK differences between alive and dead cells were calculated and compared. The results indicate that under light illumination, the photosynthesis of the alive cells leads to the amplification of the zeta potential, leading toward increase in the EK difference along with the illumination time. By using light with different color spectra to treat the microalgae, it was found that the EK difference changes with the light color according to the following order: white light > red light > blue light > green light. The difference in EK potential with exposure to white light treatment surpasses over 10-fold in comparison to those without such treatment. The light pretreatment technique, as illustrated in this study, offers an advantageous strategy to enhance the EK difference between living and dead cells, proving beneficial in the field of microalgae biotechnology.