Simple, fast, cost-efficient, reliable, and highly automated DNA content analysis of cells in adherent cultures.

The most commonly used flow cytometric (FCM) analysis of cellular DNA content relies on ethanol fixation followed by RNA digestion and propidium iodide (PI) intercalation into double-stranded DNA. This is a laborious and time-consuming procedure that is subject to systematic errors due to centrifugation and washing steps associated with sample preparation. It can adversely affect the reliability of the results. Here, we present a modified concept of DNA quantification in adherent cell lines by FCM that involves neither ethanol fixation nor any washing and cell transferring steps. Our high throughput assay of adherent cell lines reduces sample-processing time, requires minimal workload, provides a possibility for automation, and, if needed, also allows a significant reduction in the size of individual samples. Working with a well-proven commercial tool-The BD Cycletest™ Plus DNA Reagent Kit-primarily designed for cell cycle analysis and aneuploidy determination in experimental and clinical samples, we suggest a novel, very efficient, and robust approach for DNA research in adherent cell cultures.

High-throughput assessment of cellular senescence.

Cellular senescence is a molecular process that is activated in response to a large variety of distinct stress signals. Mechanistically, cellular senescence is characterized by an arrest in cell cycle accompanied by phenotypic adaptations and physiological alterations including changes in the secretory profile of senescent cells termed the senescence-associated secretory phenotype (SASP). Here we describe a detailed, automation- compatible method for the detection of senescence-associated beta galactosidase (SA-ß-gal) activity as a hallmark of cellular senescence using a conventional fluorescent microscope equipped with a transmitted light module. Moreover, we outline a protocol for the automated analysis of cellular senescence using convolutional neural networks (CNNs) and mathematical morphology. In sum, we provide a toolset for the high throughput assessment of cellular senescence based on light microscopy and automated image analysis.

CKS1B as a potential target for prognostic assessment and intervention in pancreatic cancer and its role in abnormal proliferation and cellular phenotype through mediation of cell cycle signaling pathways.

OBJECTIVES: To investigate the role of cell cycle protein-dependent kinase regulatory subunit 1B (CKS1B) in driving the aggressive and rapid proliferation observed in pancreatic cancer. METHODS: A comprehensive analysis was carried out using raw mRNA information and data from 2 databases: the cancer genome atlas and gene expression omnibus. The differential expression of CKS1B at the mRNA and tissue levels in cancer and adjacent paracancerous tissues were assessed. Additionally, the relationship of CKS1B expression and overall survival (OS) rate was investigated using Kaplan-Meier survival curves. Potential molecular mechanisms by which CKS1B may influence the biological characteristics of pancreatic cancer were explored using resources available within the encyclopedia of RNA interactomes database. RESULTS: The CKS1B exhibited significant differential expression at the mRNA as well as protein levels. A correlation with statistical significance between CKS1B expression and N stage, age, and alcohol consumption was observed. Notably, high CKS1B expression was determined as a predictive factor for worse OS. Furthermore, the analysis revealed a potential synergistic role between CKS1B and the molecule PKMYT1, which could impact the ATR-Chk1-Cdc25 signaling pathway and disrupt the G2/M checkpoint within the cell cycle, ultimately promoting abnormal tumor proliferation. CONCLUSION: The CKS1B may serve as a novel potential prognostic factor in pancreatic cancer and is involved in the abnormal proliferation biology phenotype by mediating cell cycle signaling pathways.

The nexus between green finance and energy consumption in regional comprehensive economic partnership countries.

Green finance has been valued and promoted by Regional Comprehensive Economic Partnership (RCEP) countries for its attribute of supporting green and sustainable development. However, the fossil fuel-centric growth pattern poses a threat to the sustainable development of RCEP countries. The existing literature remains inadequate regarding the relationship between green finance and fossil energy consumption. An in-depth understanding and empirical examination of the nexus between green finance development and fossil energy consumption in RCEP countries is key to successful policymaking and sustainable development. This study proposes a theoretical framework for analyzing the nexus between green finance and fossil energy consumption. Then, a green finance development index is constructed by using the entropy weight method based on green credits, green securities, and green investments. By utilizing method of moment quantile regression (MMQR), panel data of 10 RCEP countries from 2008 to 2020 are investigated. The results demonstrate a strong nonlinear pattern of green finance's impact on reducing fossil energy consumption. Conventional finance and fossil energy consumption from the preceding period significantly promote fossil energy consumption, while green technology serves as a mitigating factor for fossil energy consumption. However, the impacts of education and environmental expenditure on fossil energy consumption are limited and inconsistent. Hence, the relevant practitioners, including governments and policymakers, are encouraged to collaboratively promote the green finance policies, and devise tailor-made strategies based on countries' features. Additionally, this study recommends that the RCEP countries incorporate research and development of green technologies, as well as environmental and educational expenditures, into the policymaking process.

Assessment of Drug-Induced Liver Injury through Cell Morphology and Gene Expression Analysis.

Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to drug withdrawal. Although many studies aim to identify biomarkers and gene/pathway signatures related to liver toxicity and aim to predict DILI compounds, this remains a challenge in drug discovery. With a strong development of high-content screening/imaging (HCS/HCI) for phenotypic screening, we explored the morphological cell perturbations induced by DILI compounds. In the first step, cell morphological signatures were associated with two datasets of DILI chemicals (DILIRank and eTox). The mechanisms of action were then analyzed for chemicals having transcriptomics data and sharing similar morphological perturbations. Signaling pathways associated with liver toxicity (cell cycle, cell growth, apoptosis, ...) were then captured, and a hypothetical relation between cell morphological perturbations and gene deregulation was illustrated within our analysis. Finally, using the cell morphological signatures, machine learning approaches were developed to predict chemicals with a potential risk of DILI. Some models showed relevant performance with validation set balanced accuracies between 0.645 and 0.739. Overall, our findings demonstrate the utility of combining HCI with transcriptomics data to identify the morphological and gene expression signatures related to DILI chemicals. Moreover, our protocol could be extended to other toxicity end points, offering a promising avenue for comprehensive toxicity assessment in drug discovery.

Identification of Key Genes Related to Immune Cells in Patients with COVID-19 Via Integrated Bioinformatics-Based Analysis.

COVID-19 has spread all over the world which poses a serious threat to social economic development and public health. Despite enormous progress has been made in the prevention and treatment of COVID-19, the specific mechanism and biomarker related to disease severity or prognosis have not been clarified yet. Our study intended to further explore the diagnostic markers of COVID-19 and their relationship with serum immunology by bioinformatics analysis. The datasets about COVID-19 were downloaded from the Gene Expression Omnibus (GEO) dataset. The differentially expressed genes (DEGs) were selected via the limma package. Then, weighted gene co-expression network analysis (WGCNA) was conducted to identify the critical module associated with the clinic status. The intersection DEGs were processed for further enrichment analysis. The final diagnostic genes for COVID-19 were selected and verified through special bioinformatics algorithms. There were significant DEGs between the normal and COVID-19 patients. These genes were mainly enriched in cell cycle, complement and coagulation cascade, extracellular matrix (ECM) receptor interaction, and the P53 signaling pathway. As much as 357 common intersected DEGs were selected in the end. These DEGs were enriched in organelle fission, mitotic cell cycle phase transition, DNA helicase activity, cell cycle, cellular senescence, and P53 signaling pathway. Our study also identified CDC25A, PDCD6, and YWAHE were potential diagnostic markers of COVID-19 with the AUC (area under curve), 0.958 (95% CI 0.920-0.988), 0.941(95% CI 0.892-0.980), and 0.929 (95% CI 0.880-0.971). Moreover, CDC25A, PDCD6, and YWAHE were correlated with plasma cells, macrophages M0, T cells CD4 memory resting, T cells CD8, dendritic cells, and NK cells. Our study discovered that CDC25A, PDCD6, and YWAHE can be used as diagnostic markers for COVID-19. Moreover, these biomarkers were also closely associated with immune cell infiltration, which plays a pivotal role in the diagnosis and progression of COVID-19.

Assessment of the recovery and photosynthetic efficiency of Breviolum psygmophilum and Effrenium voratum (Symbiodiniaceae) following cryopreservation.

Many strains of Symbiodiniaceae have been isolated and their genetics, taxonomy, and metabolite production studied. Maintaining these cultures requires careful and regular sub-culturing that is costly with a high risk of species contamination or loss. Cryopreservation is a viable alternative for their long-term storage; however, there is uncertainty as to whether cryopreservation impacts the photosynthetic performance of Symbiodiniaceae. We investigated the growth rates and photosynthetic efficiency of two species, Breviolum psygmophilum and Effrenium voratum before and after cryopreservation. Rapid light curves (RLCs) produced using Pulse Amplitude Modulated (PAM) fluorometry were used to generate detailed information on the characteristics of photosystem II (PSII). The maximum electron transport rate (ETRmax) and the quantum yield (Fv/Fm) of the control (non-cryopreserved) and cryopreserved culture isolates were assessed across the growth cycle. The non-cryopreserved isolate of B. psygmophilum had a higher quantum yield than the cryopreserved isolate from day 12 to day 24, whereas there were no differences from day 28 to the late stationary phase. There were no significant differences in ETRmax. No significant differences were observed in quantum yield or ETRmax between the control and cryopreserved E. voratum isolates. The ability of cryopreserved strains to recover and regain their photosynthetic efficiency after freezing demonstrates the utility of this method for the long-term storage of these and other Symbiodiniaceae species.

Direct and cost-effective method for histone isolation from cultured mammalian cells.

Histones are an essential part of nucleosomes that regulate chromatin structure and function. Histone exchanges and modifications represent a scaffold for DNA transcription, repair, and replication. Studying histones and histone code is an important and fast-developing branch of epigenetic science. Here we propose a fast, efficient, and versatile assay for nucleosomal histone isolation from mammalian cells, without the use of acids or high salt solutions which are common for other histone isolation techniques. All components used in the protocol are common and inexpensive laboratory chemicals. The protocol has been evaluated on six commonly used cell lines and two animal tissue samples. The mild extraction conditions preserve delicate histone epigenetic changes, allowing its downstream analyses. We have demonstrated the assays' successful application during changes in the transcriptional activity of histone genes, cell cycle transitions, and DNA-damaging conditions. Histone fractions, obtained by the protocol, can be used for further applications, such as electrophoresis, immunoblot, and mass spectrometry. Therefore, the new proposed nucleosomal histone isolation method is sensitive, specific, and suitable for downstream applications of various kinds.

Assessment of immunomodulation and regulation of cell cycle in epithelium and stroma after Cidofovir injection in patients with recurrent respiratory papillomatosis-Pilot study.

Recurrent respiratory papillomatosis is strictly connected with human papillomavirus (HPV) infection of the epithelium of the upper respiratory tract. The main treatment of lesions located in the larynx or lower pharynx includes microsurgical excision by using a CO2 laser. To decrease the amount of surgical procedures gain in importance combined therapy with antiviral agents. The aim of this study was to investigate the effect of the intralesional application of Cidofovir on the tissue of laryngeal papillomas. We have shown that simultaneous microsurgery with adjuvant therapy of Cidofovir reduces chronic inflammation (by measuring the expression of CD4 and CD8 in tissue samples), cell proliferation, and regulates the cell cycle of HPV-infected cells by reducing the expression of p53 and p63 proteins. In addition, this strategy reduces the multiple surgical procedures and regrowth of the pathology.

Copper laser patterning on a flexible substrate using a cost-effective 3D printer.

We studied the cost effective direct laser patterning of copper (Cu) on thin polyimide substrates (PI thickness: 12.5-50 µm) using a 405 nm laser module attached to an inexpensive 3D printer. The focal length of the laser was intentionally controlled to reduce defects on patterned Cu and surface damage of PI under predetermined process conditions. The appropriate focal length was examined at various focal distances. Focal distances of - 2.4 mm and 3 mm were found for the shorter focal length (SFL) and longer focal length (LFL), respectively, compared to the actual focal length. This resulted in clean Cu line patterns without line defects. Interestingly, the SFL case had a different Cu growth pattern to that of LFL, indicating that the small difference in the laser incident angle could affect Cu precursor sintering. Cu square patterns had a lower resistivity of 70 µΩ·cm for an LFL after three or four laser scans, while the SFL showed a resistivity below 48 µΩ·cm for a one-time laser scan. The residues of the Cu precursor on PI were easily removed with flowing water and normal surfactants. However, the resistivity of the patterns decreased after cleaning. Among the scan gaps, the Cu square pattern formed at a 70 µm scan gap had the lowest sheet resistance and the least change in resistance from around 4 to 4.4 Ω/ϒ after cleaning. This result implies that the adhesion of the patterned Cu could be improved if the coated Cu precursor was well sintered under the proper process conditions. For the application of this method to bioelectronics, including biosensors, LEDs were connected to the Cu patterns on PI attached to the arm skin and worked well, even when the substrate PI was bent during power connecting.

Assessment of Cell Cycle and Induction of Apoptosis by Shiga-like Toxin Produced by Escherichia coli O157:H7 in T47D Breast Cancer Cells Using Flow Cytometry.

BACKGROUND: The low general toxicity against tumors expressing globotriaosylceramide (Gb3) and Shiga-like toxins produced by E. coli have been proposed as an anti-cancer therapy because of their specific target. This study aimed to determine the potency of the local strains of E. coli O157:H7 isolated from humans and cattle as a new breast cancer therapy by analyzing the cell cycle's inhibition and apoptosis induction. MATERIAL AND METHODS: Approximately 10 cultured T47D cells were subjected to Shiga-like toxin produced by four local isolates of E. coli O157:H7, including KL-48 (2) from humans, and SM-25 (1), SM-7 (1), DS-21 (4) from cattle. Using ATCC 43894 as a control, the treatment was observed for 24 h by two replications. In addition, a FITC-Annexin V and PI assay were used to observe apoptosis and necrosis effect, as well as to analyze the cell cycle using propidium iodide (PI) staining. RESULTS: The results showed the toxicity effect of Shiga in the human T47 D cells line. The viability of the cells is subjected to Shiga-like toxins produced by KL-48 (2), SM7 (1), ATCC 43894, SM-25 (1), and DS-21 (4) isolates decreased with 15.20, 16.36, 22.17,  22.64, and 33.86%, in contrary to control of 94.36%. These were supported by the cells entering the late apoptosis of the cell cycle through each isolate with 67.66, 62.60, 63.68, 63.90, and 54.74%, and a control of 0.01%. Also, the necrosis cell for each treatment of 12.73, 19.3, 10.84, 10.53, and 4.86% was higher than the control of 5.51%. These were confirmed by the higher percentage of the cells treated with toxins of KL-48 (2), SM7(1), ATCC 43894, SM-25 (1), and DS-21 (4), which entered G0-G1 of the cell cycle phase with 66.41, 63.37, 61.52, 55.36, and 47.28%, respectively, than control of 40.69%. Additionally, the toxicity effect was supported by an increase in the cells entering the S and the G2-M phase of the cycle for each treatment. CONCLUSION: It is concluded that the Shiga-like toxin produced by E. coli O157:H7 local isolates can be developed as a drug against breast cancer based on its effect to arrest induction of the cell cycle and inducing apoptosis.

Cytofluorometric assessment of cell cycle progression in irradiated cells.

Radiation therapy (RT) is well known for its capacity to mediate cytostatic and cytotoxic effects upon the accumulation of unrepaired damage to macromolecules, notably DNA. The ability of ionizing radiation to prevent malignant cells from replicating and to cause their demise is indeed an integral component of the anticancer activity of RT. Neoplastic cells are generally more sensitive to the cytostatic and cytotoxic effects of RT than their healthy counterparts as they exhibit increased proliferative rate and limited capacity for DNA repair. This provides a rather comfortable therapeutic window for clinical RT usage, especially with the development of novel, technologically superior RT modalities that minimize the exposure of normal tissues. Thus, while accumulating evidence indicates that cancer control by RT also involves the activation of tumor-targeting immune responses, assessing cell cycle progression in irradiated cells remains a central approach for investigating radiosensitivity in preclinical tumor models. Here, we detail a simple, flow cytometry-assisted method to simultaneously assess cell cycle distribution and active DNA replication in cultured estrogen receptor (ER)+ breast cancer MCF7 cells. With minimal variations, the same technique can be straightforwardly implemented to a large panel of human and mouse cancer cell lines.

A Computational Toolbox to Investigate the Metabolic Potential and Resource Allocation in Fission Yeast.

The fission yeast, Schizosaccharomyces pombe, is a popular eukaryal model organism for cell division and cell cycle studies. With this extensive knowledge of its cell and molecular biology, S. pombe also holds promise for use in metabolism research and industrial applications. However, unlike the baker's yeast, Saccharomyces cerevisiae, a major workhorse in these areas, cell physiology and metabolism of S. pombe remain less explored. One way to advance understanding of organism-specific metabolism is construction of computational models and their use for hypothesis testing. To this end, we leverage existing knowledge of S. cerevisiae to generate a manually curated high-quality reconstruction of S. pombe's metabolic network, including a proteome-constrained version of the model. Using these models, we gain insights into the energy demands for growth, as well as ribosome kinetics in S. pombe. Furthermore, we predict proteome composition and identify growth-limiting constraints that determine optimal metabolic strategies under different glucose availability regimes and reproduce experimentally determined metabolic profiles. Notably, we find similarities in metabolic and proteome predictions of S. pombe with S. cerevisiae, which indicate that similar cellular resource constraints operate to dictate metabolic organization. With these cases, we show, on the one hand, how these models provide an efficient means to transfer metabolic knowledge from a well-studied to a lesser-studied organism, and on the other, how they can successfully be used to explore the metabolic behavior and the role of resource allocation in driving different strategies in fission yeast. IMPORTANCE Our understanding of microbial metabolism relies mostly on the knowledge we have obtained from a limited number of model organisms, and the diversity of metabolism beyond the handful of model species thus remains largely unexplored in mechanistic terms. Computational modeling of metabolic networks offers an attractive platform to bridge the knowledge gap and gain new insights into physiology of lesser-studied organisms. Here we showcase an example of successful knowledge transfer from the budding yeast Saccharomyces cerevisiae to a popular model organism in molecular and cell biology, fission yeast Schizosaccharomyces pombe, using computational models.

Ribosome biogenesis and the cellular energy economy.

Cell growth relies upon the ability to produce new proteins, which requires energy and chemical precursors, and an adequate supply of the molecular machines for protein synthesis - ribosomes. Although not widely appreciated, ribosomes are remarkably abundant in all cells. For example, in a rapidly growing yeast cell there are ∼2-4 x 105 ribosomes, produced and exported to the cytoplasm at a rate of ∼2,000-4,000 per minute, with ribosomal proteins making up ∼50% of total cellular protein number and ∼30% of cellular protein mass. Even in a typical human cell ribosomal proteins constitute ∼4-6% of total protein mass, and ribosomes are present at ∼107 per cell. We begin this primer by exploring the tight relationship between ribosome production and cell growth, which has important implications not just for the cell's global protein expression profile and maximum growth rate, but also for the molecular composition of the ribosome itself. We then discuss how and to what extent the expression of the RNA and protein components of ribosomes is fine-tuned to match the cell's needs and minimise waste. Finally, we highlight the importance of coordinated ribosomal RNA (rRNA) and ribosomal protein expression in eukaryotes and explore how defects in this process are associated with proteotoxicity and disease. A central underlying question addressed throughout is whether regulation of ribosome biogenesis has evolved to optimise energy efficiency or is instead (or in addition) driven by other goals, such as maximising cell growth rate, promoting adaptation to changing environmental conditions, or maintaining the stability of the cellular proteome.

Multiplexed-Based Assessment of DNA Damage Response to Chemotherapies Using Cell Imaging Cytometry.

The current methods for measuring the DNA damage response (DDR) are relatively labor-intensive and usually based on Western blotting, flow cytometry, and/or confocal immunofluorescence analyses. They require many cells and are often limited to the assessment of a single or few proteins. Here, we used the Celigo® image cytometer to evaluate the cell response to DNA-damaging agents based on a panel of biomarkers associated with the main DDR signaling pathways. We investigated the cytostatic or/and the cytotoxic effects of these drugs using simultaneous propidium iodide and calcein-AM staining. We also describe new dedicated multiplexed protocols to investigate the qualitative (phosphorylation) or the quantitative changes of eleven DDR markers (H2AX, DNA-PKcs, ATR, ATM, CHK1, CHK2, 53BP1, NBS1, RAD51, P53, P21). The results of our study clearly show the advantage of using this methodology because the multiplexed-based evaluation of these markers can be performed in a single experiment using the standard 384-well plate format. The analyses of multiple DDR markers together with the cell cycle status provide valuable insights into the mechanism of action of investigational drugs that induce DNA damage in a time- and cost-effective manner due to the low amounts of antibodies and reagents required.

Assessment of cell cycle regulators in human peripheral blood cells as markers of cellular senescence.

Cellular senescence has gained increasing interest during recent years, particularly due to causal involvement in the aging process corroborated by multiple experimental findings. Indeed, cellular senescence considered to be one of the hallmarks of aging, is defined as a stable growth arrest predominantly mediated by cell cycle regulators p53, p21 and p16. Senescent cells have frequently been studied in the peripheral blood of humans due to its accessibility. This review summarizes ex vivo studies describing cell cycle regulators as markers of senescence in human peripheral blood cells, along with detection methodologies and associative studies examining demographic and clinical characteristics. The utility of techniques such as the quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), microarray, RNA sequencing and nCounter technologies for detection at the transcriptional level, along with Western blotting, enzyme-linked immunosorbent assay and flow cytometry at the translational level, will be brought up at salient points throughout this review. Notably, housekeeping genes or proteins serving as controls such as GAPDH and ß-Actin, were found not to be stably expressed in some contexts. As such, optimization and validation of such genes during experimental design were recommended. In addition, the expression of cell cycle regulators was found to vary not only between different types of blood cells such as T cells and B cells but also between stages of cellular differentiation such as naïve T cells and highly differentiated T cells. On the other hand, the associations of the presence of cell cycle regulators with demographics (age, gender, ethnicity, and socioeconomic status), clinical characteristics (body mass index, specific diseases, disease-related parameters) and lifestyle vary in groups of participants. One envisions that increased understanding and insights into the assessment of cell cycle regulators as markers of senescence in human peripheral blood cells will help inform prognostication and clinical intervention in elderly individuals.

Clock in radiation oncology clinics: cost-free modality to alleviate treatment-related toxicity.

A large number of studies have reported that tumor cells are often out of sync with the surrounding healthy tissue. Exploiting this misalignment may be a way to obtain a substantial gain in the therapeutic window. Specifically, based on reports to date, we will assess whether radiotherapy outcomes differ depending on the administration time. Collectively, 24 studies met the inclusion criteria, out of which 12 at least reported that radiation therapy is less toxic when administered at a particular time, probably because there is less collateral damage to healthy cells. However, discrepancies exist across studies and urge further investigation. Mechanistic studies elucidating the relationship between radiotherapy, circadian rhythms, and cell cycle, combined with either our "digital" or "biological" chronodata, would help oncologists successfully chronotype individual patients and strategize treatment plans accordingly.

Assessment of Effects of Investigational TAK-931, an Oral Cell Division Cycle 7 Kinase Inhibitor on the QTc Intervals in Patients With Advanced Solid Tumors.

TAK-931, a novel, selective, small-molecule inhibitor of cell division cycle 7 has been investigated in multiple clinical trials in patients with advanced solid tumors. An integrated analysis using data from 2 clinical studies assessed effects of TAK-931 on electrocardiogram QT intervals and heart rate (HR). Pharmacokinetic samples and matched triplicate electrocardiogram data were collected in 48 patients with cancer receiving oral administration of TAK-931 50 or 80 mg once daily. The relationships between TAK-931 plasma concentrations and the HR-corrected QT interval via Fridericia (QTcF) or population (QTcP) and HR were analyzed using linear mixed-effects models with fixed effects for day and time. At the geometric mean maximum TAK-931 plasma concentrations after administration of 50 mg, an HR change of 3.40 beats per minute (90%CI, 1.86-4.80) was predicted. Change in QTcF of -3.41 milliseconds (90%CI, -5.77 to -1.17) and QTcP of -2.02 milliseconds (90%CI, -4.15 to 0.0679) were estimated, indicating there was no effect of TAK-931 on the QT intervals at a recommended phase 2 dose of 50 mg once daily for 14 days in a 21-day cycle.

Advances and enabling technologies for phase-specific cell cycle synchronisation.

Cell cycle synchronisation is the process of isolating cell populations at specific phases of the cell cycle from heterogeneous, asynchronous cell cultures. The process has important implications in targeted gene-editing and drug efficacy of cells and in studying cell cycle events and regulatory mechanisms involved in the cell cycle progression of multiple cell species. Ideally, cell cycle synchrony techniques should be applicable for all cell types, maintain synchrony across multiple cell cycle events, maintain cell viability and be robust against metabolic and physiological perturbations. In this review, we categorize cell cycle synchronisation approaches and discuss their operational principles and performance efficiencies. We highlight the advances and technological development trends from conventional methods to the more recent microfluidics-based systems. Furthermore, we discuss the opportunities and challenges for implementing high throughput cell synchronisation and provide future perspectives on synchronisation platforms, specifically hybrid cell synchrony modalities, to allow the highest level of phase-specific synchrony possible with minimal alterations in diverse types of cell cultures.

Synthesis and Preliminary Anticancer Activity Assessment of N-Glycosides of 2-Amino-1,3,4-thiadiazoles.

The addition of 2-amino-1,3,4-thiadiazole derivatives with parallel iodination of differently protected glycals has been achieved using a double molar excess of molecular iodine under mild conditions. The corresponding thiadiazole derivatives of N-glycosides were obtained in good yields and anomeric selectivity. The usage of iodine as a catalyst makes this method easy, inexpensive, and successfully useable in reactions with sugars. Thiadiazole derivatives were tested in a panel of three tumor cell lines, MCF-7, HCT116, and HeLa. These compounds initiated biological response in investigated tumor models in a different rate. The MCF-7 is resistant to the tested compounds, and the cytometry assay indicated low increase in cell numbers in the sub- G1 phase. The most sensitive are HCT-116 and HeLa cells. The thiadiazole derivatives have a pro-apoptotic effect on HCT-116 cells. In the case of the HeLa cells, an increase in the number of cells in the sub-G1- phase and the induction of apoptosis was observed.