Biochemical Processes In Cells Research Articles

Active RNA synthesis patterns nuclear condensates.

Biomolecular condensates are membraneless compartments that organize biochemical processes in cells. In contrast to well-understood mechanisms describing how condensates form and dissolve, the principles underlying condensate patterning - including their size, number and spacing in the cell - remain largely unknown. We hypothesized that RNA, a key regulator of condensate formation and dissolution, influences condensate patterning. Using nucleolar fibrillar centers (FCs) as a model condensate, we found that inhibiting ribosomal RNA synthesis significantly alters the patterning of FCs. Physical theory and experimental observations support a model whereby active RNA synthesis generates a non-equilibrium state that arrests condensate coarsening and thus contributes to condensate patterning. Altering FC condensate patterning by expression of the FC component TCOF1 impairs ribosomal RNA processing, linking condensate patterning to biological function. These results reveal how non-equilibrium states driven by active chemical processes regulate condensate patterning, which is important for cellular biochemistry and function.

Biochemical and molecular evaluation of oxidative stress and mitochondrial damage in fruit fly exposed to carmoisine.

In today's world, appearance is an important factor in almost all areas of our lives. Therefore, it has become common to use dyes to color foods to make them look appetizing and visually appealing. However, food additives have negative effects on biochemical processes in cells at both high and low doses. This study investigated the effect of carmoisine, a commonly used food coloring, on oxidative stress and damage parameters in Drosophila melanogaster in terms of both enzymatic and gene expression. The change in mitochondrial DNA copy number (mtDNA-CN), a marker of oxidative stress, was also examined. When the data obtained were analyzed, it was observed that carmoisine caused a significant decrease in GSH levels depending on the increase in dose. SOD, CAT, GPx, and AChE enzyme activities and gene expression levels were also found to be significantly decreased. All groups also showed a significant decrease in mtDNA-CN. The effect of carmoisine on Drosophila melanogaster morphology was also investigated in our study. However, no significant change was observed in terms of morphological development in any group. When all the findings were evaluated together, it was observed that carmoisin triggered oxidative stress and these effects became more risky at high doses. Therefore, we believe that the consumer should be made more aware of the side effects of azo dyes in food and that the type and concentration of each substance added to food should be specified.

Engineering Material Properties of Transcription Factor Condensates to Control Gene Expression in Mammalian Cells and Mice.

Phase separation of biomolecules into condensates is a key mechanism in the spatiotemporal organization of biochemical processes in cells. However, the impact of the material properties of biomolecular condensates on important processes, such as the control of gene expression, remains largely elusive. Here, the material properties of optogenetically induced transcription factor condensates are systematically tuned, and probed for their impact on the activation of target promoters. It is demonstrated that transcription factors in rather liquid condensates correlate with increased gene expression levels, whereas stiffer transcription factor condensates correlate with the opposite effect, reduced activation of gene expression. The broad nature of these findings is demonstrated in mammalian cells and mice, as well as by using different synthetic and natural transcription factors. These effects are observed for both transgenic and cell-endogenous promoters. The findings provide a novel materials-based layer in the control of gene expression, which opens novel opportunities in optogenetic engineering and synthetic biology.

Effects and Mechanisms of Non-Thermal Plasma-Mediated ROS and Its Applications in Animal Husbandry and Biomedicine.

Non-thermal plasma (NTP) is an ionized gas composed of neutral and charged reactive species, electric fields, and ultraviolet radiation. NTP presents a relatively low discharge temperature because it is characterized by the fact that the temperature values of ions and neutral particles are much lower than that of electrons. Reactive species (atoms, radicals, ions, electrons) are produced in NTP and delivered to biological objects induce a set of biochemical processes in cells or tissues. NTP can mediate reactive oxygen species (ROS) levels in an intensity- and time-dependent manner. ROS homeostasis plays an important role in animal health. Relatively low or physiological levels of ROS mediated by NTP promote cell proliferation and differentiation, while high or excessive levels of ROS mediated by NTP cause oxidative stress damage and even cell death. NTP treatment under appropriate conditions not only produces moderate levels of exogenous ROS directly and stimulates intracellular ROS generation, but also can regulate intracellular ROS levels indirectly, which affect the redox state in different cells and tissues of animals. However, the treatment condition of NTP need to be optimized and the potential mechanism of NTP-mediated ROS in different biological targets is still unclear. Over the past ten decades, interest in the application of NTP technology in biology and medical sciences has been rapidly growing. There is significant optimism that NTP can be developed for a wide range of applications such as wound healing, oral treatment, cancer therapy, and biomedical materials because of its safety, non-toxicity, and high efficiency. Moreover, the combined application of NTP with other methods is currently a hot research topic because of more effective effects on sterilization and anti-cancer abilities. Interestingly, NTP technology has presented great application potential in the animal husbandry field in recent years. However, the wide applications of NTP are related to different and complicated mechanisms, and whether NTP-mediated ROS play a critical role in its application need to be clarified. Therefore, this review mainly summarizes the effects of ROS on animal health, the mechanisms of NTP-mediated ROS levels through antioxidant clearance and ROS generation, and the potential applications of NTP-mediated ROS in animal growth and breeding, animal health, animal-derived food safety, and biomedical fields including would healing, oral treatment, cancer therapy, and biomaterials. This will provide a theoretical basis for promoting the healthy development of animal husbandry and the prevention and treatment of diseases in both animals and human beings.

Molecular mechanisms regulating uric acid metabolism in the human intestine, systematic literature review

This review presents recent data on direct and indirect pathogenetic relationships between metabolism of purine compounds and biochemical processes in cells of the digestive system. A comprehensive analysis of available modern publications for the period from 2000 to 2022 in the Scopus, PubMed, eLIIBRARY, and Google Scholar databases was performed. The hypothesis linking the pathogenesis of hyperuricemia to “renal overload” suggests that the disease may develop due to impaired renal excretion with insufficient excretion of uric acid (UA) via the intestine. Some of the UA transport systems work actively in hepatocytes and enterocytes, which determines their formation and excretion. UA transporter proteins are divided into two categories: urate reabsorption transporters and urate excretion transporters; their expression is regulated by transcription factors, hormones, and metabolites of the intestinal microflora. The influence of intestinal microbiota on UA metabolism is associated with its involvement in purine metabolism, degradation and excretion of UA together with metabolites of intestinal flora, and suppression of gout inflammation, and is evaluated as a new therapeutic potential for gout and hyperuricemia to prevent renal damage and urolithiasis.

Varying molecular interactions explain aspects of crowder-dependent enzyme function of a viral protease.

Biochemical processes in cells, including enzyme-catalyzed reactions, occur in crowded conditions with various background macromolecules occupying up to 40% of cytoplasm's volume. Viral enzymes in the host cell also encounter such crowded conditions as they often function at the endoplasmic reticulum membranes. We focus on an enzyme encoded by the hepatitis C virus, the NS3/4A protease, which is crucial for viral replication. We have previously found experimentally that synthetic crowders, polyethylene glycol (PEG) and branched polysucrose (Ficoll), differently affect the kinetic parameters of peptide hydrolysis catalyzed by NS3/4A. To gain understanding of the reasons for such behavior, we perform atomistic molecular dynamics simulations of NS3/4A in the presence of either PEG or Ficoll crowders and with and without the peptide substrates. We find that both crowder types make nanosecond long contacts with the protease and slow down its diffusion. However, they also affect the enzyme structural dynamics; crowders induce functionally relevant helical structures in the disordered parts of the protease cofactor, NS4A, with the PEG effect being more pronounced. Overall, PEG interactions with NS3/4A are slightly stronger but Ficoll forms more hydrogen bonds with NS3. The crowders also interact with substrates; we find that the substrate diffusion is reduced much more in the presence of PEG than Ficoll. However, contrary to NS3, the substrate interacts more strongly with Ficoll than with PEG crowders, with the substrate diffusion being similar to crowder diffusion. Importantly, crowders also affect the substrate-enzyme interactions. We observe that both PEG and Ficoll enhance the presence of substrates near the active site, especially near catalytic H57 but Ficoll crowders increase substrate binding more than PEG molecules.

MARKER-TRAIT ASSOCIATION ANALYSIS OF FUNCTION GENE MARKERS FOR CAROTENOIDS ACROSS DIVERSE MAIZE INBRED LINES

The carotene is a very important nutrient that provides the activity of molecular and biochemical processes in cells. Therefore, the estimation of genetic determinants involved in the management of the carotene synthesis is necessary for the selection of maize. DNA markers allow to select lines with high carotenoids content in grain for breeding purposes. 110 maize lines with a high content of carotenoids in grain using DNA markers lcyε-5'TE, lcyε-SNP216, lcyε-3'INDL and crtRB1-3'TE were studied. The dynamic and carotenoid content in simple hybrids and lines were determined by the absorption spectrum of β-carotene. Carotenoid content in grain of the lines under study ranged from 0.7 to 7.15 μg/mg. The highest values of the average content of carotene were obtained in the maize lines containing favourable alleles for the marker combinations lcyɛ-SNP216+lcyɛ-3'INDL and lcyɛ-SNP216+crtRB1-3'TE. For the marker lcyε-5'TE, no favourable allele was found among the studied genotypes. With the aid of spectrometry, the dynamics of carotenoid accumulation as a function of the grain development stage. Among the lines under study, the highest carotenoid content was recorded on the 15th and 23rd days after pollination (DAP). For the genotypes involved in the study, the total content of carotenoids in hybrids was higher than in their parent components. Therefore, DNA markers lcyε-SNP216, lcyε-3'INDL and crtRB1-3'TE are informative for assessing the maize genotypes for high carotenoid content in grain.

Red and near infrared light-stimulated angiogenesis mediated via Ca2+ influx, VEGF production and NO synthesis in endothelial cells in macrophage or malignant environments.

Irradiation with red or near-infrared (NIR) light in low level light therapy (LLLT) is found to stimulate cellular processes and bioenergetics, resulting in enhanced wound healing, pain control, neurodegenerative diseases treatment, etc. During light irradiation of tissues and organs, different cells are affected, though the connection between photostimulation of cells and their environmental conditions remains poorly understood. In this report, red/NIR light-stimulated angiogenesis is investigated using endothelial cells in vitro, with a focus on the capillary-like structure (CLS) formation and the respective biochemical processes in cells under conditions proximate to a healthy or malignant environment, which strongly defines angiogenesis. To model environmental conditions for endotheliocytes in vitro, the cell culture environment was supplemented by an augmented conditioned medium from macrophages or cancer cells. The biochemical processes in endothelial cell cultures were investigated with and without irradiation by red (650nm) and near-infrared (808nm) laser diodes and under normoxia or hypoxia conditions. A light-stimulated angiogenesis has been found, with a more efficient stimulation by 650nm light compared to 808nm light. It was shown that the irradiation with light promoted extracellular Ca2+ influx, fostered cell cycle progression, proliferation and NO generation in endothelial cells, and caused an increase in vascular endothelial growth factor (VEGF) production by endothelial cells and M2 macrophages under hypoxia conditions. The activation of VEGF production by macrophages was found to be associated with an increase in the number of M2 macrophages after light irradiation under hypoxia conditions. Thus, a new pathway of an activation of the endothelial cell metabolism, which is related with the extracellular Ca2+ influx after light irradiation, has been revealed. STATEMENT OF SIGNIFICANCE: Red/NIR light-stimulated angiogenesis has been studied using endothelial cells in vitro, with focus on CLS formation and the respective biochemical processes in cell models proximate to a healthy or malignant environment. A light-stimulated angiogenesis has been found, stimulated via extracellular Ca2+ influx, cell cycle progression, proliferation and NO generation, VEGF production increase by endothelial cells under hypoxia conditions.

Using a 3‐Layer Artificial Neural Network to Predict S‐Nitrosylation

S-nitrosylation is a post-translational modification (PTM) in proteins that is critical for many biochemical processes in cells. Though experimental procedures exist for studying and determining S-nitrosylation, computer modeling presents a more convenient and cost-effective method to determine potential sites of nitrosylation. Previous studies have explored the use of different Machine Learning models to predict S-nitrosylation in proteins; however, the type of Machine Learning methods and the selection of input features that will yield the best predictive performance are still being studied. The goal of this project was to optimize the performance of a 3-layer Artificial Neural Network (ANN) using S-nitrosylation primary protein structure data. Primary structure data was taken from the dbSNO database, with each protein entry processed into instances of cysteines that were and were not S-nitrosylated. This entire dataset contained 4150 S-nitrosylation instances and 18506 non-S-nitrosylation instances, which was then split into a training set and a testing set at a ratio of 70:30, respectively. The performance of the 3-layer ANN was assessed via the Mathew Correlation Coefficient (MCC), Area Under the Receiver Operating Characteristic (AROC) curve, specificity, recall, accuracy, and precision values for the testing set. Mini-batch sizes, iterations per run, number of hidden neurons per layer, and other hyper-parameters were modified between runs to gauge improvements in the ANN performance. The 3-layer ANN was able to achieve an average MCC, AROC, specificity, recall, accuracy, and precision of 0.265, 0.685, 0.784, 0.467, 0.625, and 0.687, respectively with 50 neurons at both hidden layers, 150 iterations, learning rate of 0.05, 64-size mini-batch, and window size of 40. As the ANN's performance cannot be significantly improved beyond the metrics presented above, the addition of secondary structure sequence data from Protein Data Bank (PDB) files may improve the predictive performance of the 3-layer ANN and will be tested. The data presented above demonstrates the 3-layer ANN's predictive performance and suggests that the use of additional data, such as secondary structure, could allow for improvement.

The role of zinc in the synthesis and metabolism of thyroid hormones

About one third of the world’s population is deficient in one or more micronutrients, with the most common deficiencies in iodine, iron, zinc, vitamin A and folate. Deficiency of one or more essential vitamins and minerals is usually the result of poor nutrition and / or insufficient absorption of micronutrients as a result of infectious and inflammatory diseases. It is possible that the deficiency of certain trace elements, in turn, can aggravate iodine deficiency and contribute to dysfunction of the thyroid gland. There are assumptions about the relationship between the content of iodine, selenium, iron, zinc in the human body and the level of thyroid hormones. Zinc is a vital trace element for all living organisms, participating in many biochemical processes in cells, including cell differentiation and division, its growth, cell transport, transcription, protein synthesis, RNA and DNA synthesis, and DNA replication. Its role as an antioxidant and participation in the functioning of both innate (T, NK and NKT cells) and adaptive immunity (anti-inflammatory cytokines) are very important. This review will consider the role of zinc in the synthesis and metabolism of thyroid hormones.

Inferring phenomenological models of first passage processes.

Biochemical processes in cells are governed by complex networks of many chemical species interacting stochastically in diverse ways and on different time scales. Constructing microscopically accurate models of such networks is often infeasible. Instead, here we propose a systematic framework for building phenomenological models of such networks from experimental data, focusing on accurately approximating the time it takes to complete the process, the First Passage (FP) time. Our phenomenological models are mixtures of Gamma distributions, which have a natural biophysical interpretation. The complexity of the models is adapted automatically to account for the amount of available data and its temporal resolution. The framework can be used for predicting behavior of FP systems under varying external conditions. To demonstrate the utility of the approach, we build models for the distribution of inter-spike intervals of a morphologically complex neuron, a Purkinje cell, from experimental and simulated data. We demonstrate that the developed models can not only fit the data, but also make nontrivial predictions. We demonstrate that our coarse-grained models provide constraints on more mechanistically accurate models of the involved phenomena.

Behavior control of membrane-less protein liquid condensates with metal ion-induced phase separation

Phase separation of specific biomolecules into liquid droplet-like condensates is a key mechanism to form membrane-less organelles, which spatio-temporally organize diverse biochemical processes in cells. To investigate the working principles of these biomolecular condensates as dynamic reaction centers, precise control of diverse condensate properties is essential. Here, we design a strategy for metal ion-induced clustering of minimal protein modules to produce liquid protein condensates, the properties of which can be widely varied by simple manipulation of the protein clustering systems. The droplet forming-minimal module contains only a single receptor protein and a binding ligand peptide with a hexahistidine tag for divalent metal ion-mediated clustering. A wide range of protein condensate properties such as droplet forming tendency, droplet morphology, inside protein diffusivity, protein recruitment, and droplet density can be varied by adjusting the nature of receptor/ligand pairs or used metal ions, metal/protein ratios, incubation time, binding motif variation on recruited proteins, and even spacing between receptor/ligand pairs and the hexahistidine tag. We also demonstrate metal-ion-induced protein phase separation in cells. The present phase separation strategy provides highly versatile protein condensates, which will greatly facilitate investigation of molecular and structural codes of droplet-forming proteins and the monitoring of biomolecular behaviors inside diverse protein condensates.

Effect of Natural Cytokine Complex on Metabolism of Smooth Muscle Cells in Myocardial Arteries under Normal Conditions and during Hemodynamic Overload.

Histoenzymological methods were employed to examine the effects of systemically administered natural cytokine complex including IL-1, IL-2, IL-6, TNFα, MIF, and TGFβ on metabolism of smooth muscle cells in intramural myocardial arteries under physiological conditions and during acute hemodynamic overload of the heart. Natural cytokine complex markedly inhibited metabolism of vascular smooth muscle cells under control conditions and during acute experimental aortal stenosis. In vascular smooth muscle cells, deceleration of tricarboxylic acid cycle, redistribution of the fluxes in glycolytic cascade and its inhibition, down-regulation of oxidation of free fatty acids and their metabolites, and inhibition of the shuttle systems and biosynthetic processes were observed. Inhibition of metabolism in the vascular wall of myocardial arteries correlated with a decrease in their tone and could be partially determined by a decrease in contractile activity of smooth muscle cells. These findings do not exclude the involvement of other factors and mechanisms in down-regulation of metabolism in vascular myocytes in response to increased cytokines levels of in the blood, including their direct effect on biochemical processes in cells.

Advanced Actuator Materials Powered by Biomimetic Helical Fiber Topologies.

Helical constructs are ubiquitous in nature at all size domains, from molecular to macroscopic. The helical topology confers unique mechanical functions that activate certain phenomena, such as twining vines and vital cellular functions like the folding and packing of DNA into chromosomes. The understanding of active mechanical processes in plants, certain musculature in animals, and some biochemical processes in cells provides insight into the versatility of the helix. Most of these natural systems consist of helically oriented filaments embedded in a compliant matrix. In some cases, the matrix can change volume and in others the filaments can contract and the matrix is passive. In both cases, the helically arranged fibers determine the overall shape change with a great variety of responses involving length contraction/elongation, twisting, bending, and coiling. Synthetic actuator materials and systems that employ helical topologies have been described recently and demonstrate many fascinating and complex shape changes. However, significant new opportunities exist to mimic some of the most remarkable actions in nature, including the Vorticella's coiling stalk and DNA's supercoils, in the quest for superior artificial muscles.

Phosphate as a Signaling Molecule

Phosphorus plays a vital role in diverse biological processes including intracellular signaling, membrane integrity, and skeletal biomineralization; therefore, the regulation of phosphorus homeostasis is essential to the well-being of the organism. Cells and whole organisms respond to changes in inorganic phosphorus (Pi) concentrations in their environment by adjusting Pi uptake and altering biochemical processes in cells (local effects) and distant organs (endocrine effects). Unicellular organisms, such as bacteria and yeast, express specific Pi-binding proteins on the plasma membrane that respond to changes in ambient Pi availability and transduce intracellular signals that regulate the expression of genes involved in cellular Pi uptake. Multicellular organisms, including humans, respond at a cellular level to adapt to changes in extracellular Pi concentrations and also have endocrine pathways which integrate signals from various organs (e.g., intestine, kidneys, parathyroid glands, bone) to regulate serum Pi concentrations and whole-body phosphorus balance. In mammals, alterations in the concentrations of extracellular Pi modulate type III sodium-phosphate cotransporter activity on the plasma membrane, and trigger changes in cellular function. In addition, elevated extracellular Pi induces activation of fibroblast growth factor receptor, Raf/mitogen-activated protein kinase/ERK kinase (MEK)/extracellular signal-regulated kinase (ERK) and Akt pathways, which modulate gene expression in various mammalian cell types. Excessive Pi exposure, especially in patients with chronic kidney disease, leads to endothelial dysfunction, accelerated vascular calcification, and impaired insulin secretion.

Electricity-free picoinjection assisted droplet microfluidics

Using droplet microfluidic picoinjection as a reactant dosing technique is of great importance in assembling artificial cells and performing multistep reactions. However, the utilization of electricity in the existing picoinjection complicates the device fabrication and operation, and compromises the bioactivity of the encapsulated bio-ingredients. In this work, we propose an electricity-free picoinjection technique as an alternative to address these issues. Specifically, by precisely controlling the pressures inside the microfluidic channel, we can inject one reactant into the flowing droplets that contain another reactant without applying the electric field. Furthermore, the dosed volumes can be tuned by controlling the value of external pressure or the ratio of flow rates between the continuous and droplet phases. To demonstrate the robustness of the proposed picoinjection, we apply it to synthesize crystals and nanoparticles. In the synthesis of crystals, the proposed picoinjection eliminates the problem of device fouling that occurs in the current reactant dosing devices. In the synthesis of nanoparticles, the proposed picoinjection generates nanoparticles that are highly monodispersed. As a result, this simplified picoinjection potentially extends the application of droplet microfluidics to investigate reaction dynamics or biochemical processes in cells. Besides, by eliminating the electricity, the proposed picoinjection avoids the usages of large equipment such as large power supplies or complicate devices, enhancing the accessibility of the proposed picoinjection.

High-Frequency Time-Resolved Scanning Acoustic Microscopy for Biomedical Applications

High-frequency focused ultrasound has emerged as a powerful modality for both biomedical imaging and elastography. It is gaining more attention due to its capability to outperform many other imaging modalities at a submicron resolution. Besides imaging, high-frequency ultrasound or acoustic biomicroscopy has been used in a wide range of applications to assess the elastic and mechanical properties at the tissue and single cell level. The interest in acoustic microscopy stems from the awareness of the relationship between biomechanical and the underlying biochemical processes in cells and the vast impact these interactions have on the onset and progression of disease. Furthermore, ultrasound biomicroscopy is characterized by its non-invasive and non-destructive approach. This, in turn, allows for spatiotemporal studies of dynamic processes without the employment of histochemistry that can compromise the integrity of the samples. Numerous techniques have been developed in the field of acoustic microscopy. This review paper discusses high-frequency ultrasound theory and applications for both imaging and elastography.

Light-Activated Nanoprobes for Biosensing and Imaging.

Fluorescent nanoprobes are indispensable tools to monitor and analyze biological species and dynamic biochemical processes in cells and living bodies. Conventional nanoprobes have limitations in obtaining imaging signals with high precision and resolution because of the interference with biological autofluorescence, off-target effects, and lack of spatiotemporal control. As a newly developed paradigm, light-activated nanoprobes, whose imaging and sensing activity can be remotely regulated with light irradiation, show good potential to overcome these limitations. Herein, recent research progress on the design and construction of light-activated nanoprobes to improve bioimaging and sensing performance in complex biological systems is introduced. First, recent innovative strategies and their underlying mechanisms for light-controlled imaging are reviewed, including photoswitchable nanoprobes and phototargeted nanosystems. Subsequently, a short highlight is provided on the development of light-activatable nanoprobes for biosensing, which offer possibilities for the remote control of biorecognition and sensing activity in a precise manner both temporally and spatially. Finally, perspectives and challenges in light-activated nanoprobes are commented.

MIDcor, an R-program for deciphering mass interferences in mass spectra of metabolites enriched in stable isotopes

BackgroundTracing stable isotopes, such as 13C using various mass spectrometry (MS) methods provides a valuable information necessary for the study of biochemical processes in cells. However, extracting such information requires special care, such as a correction for naturally occurring isotopes, or overlapping mass spectra of various components of the cell culture medium. Developing a method for a correction of overlapping peaks is the primary objective of this study.ResultsOur computer program-MIDcor (free at https://github.com/seliv55/mid_correct) written in the R programming language, corrects the raw MS spectra both for the naturally occurring isotopes and for the overlapping of peaks corresponding to various substances. To this end, the mass spectra of unlabeled metabolites measured in two media are necessary: in a minimal medium containing only derivatized metabolites and chemicals for derivatization, and in a complete cell incubated medium. The MIDcor program calculates the difference (D) between the theoretical and experimentally measured spectra of metabolites containing only the naturally occurring isotopes. The result of comparison of D in the two media determines a way of deciphering the true spectra. (1) If D in the complete medium is greater than that in the minimal medium in at least one peak, then unchanged D is subtracted from the raw spectra of the labeled metabolite. (2) If D does not depend on the medium, then the spectrum probably overlaps with a derivatized fragment of the same metabolite, and D is modified proportionally to the metabolite labeling. The program automatically reaches a decision regarding the way of correction. For some metabolites/fragments in the case (2) D was found to decrease when the tested substance was 13C labeled, and this isotopic effect also can be corrected automatically, if the user provides a measured spectrum of the substance in which the 13C labeling is known a priori.ConclusionUsing the developed program improves the reliability of stable isotope tracer data analysis.

Oцінка впливу Nb-вмісних нанокомпозитів на мікроорганізми

Oцінка впливу Nb-вмісних нанокомпозитів на мікроорганізми