Molecular Signaling Research Articles

The neurobiological mechanisms of photoperiod impact on brain functions: a comprehensive review

Abstract Variations in day length, or photoperiodism, whether natural or artificial light, significantly impact biological, physiological, and behavioral processes within the brain. Both natural and artificial light sources are environmental factors that significantly influence brain functions and mental well-being. Photoperiodism is a phenomenon, occurring either over a 24 h cycle or seasonally and denotes all biological responses of humans and animals to these fluctuations in day and night length. Conversely, artificial light occurrence refers to the presence of light during nighttime hours and/or its absence during the daytime (unnaturally long and short days, respectively). Light at night, which is a form of light pollution, is prevalent in many societies, especially common in certain emergency occupations. Moreover, individuals with certain mental disorders, such as depression, often exhibit a preference for darkness over daytime light. Nevertheless, disturbances in light patterns can have negative consequences, impacting brain performance through similar mechanisms albeit with varying degrees of severity. Furthermore, changes in day length lead to alterations in the activity of receptors, proteins, ion channels, and molecular signaling pathways, all of which can impact brain health. This review aims to summarize the mechanisms by which day length influences brain functions through neural circuits, hormonal systems, neurochemical processes, cellular activity, and even molecular signaling pathways.

BioRxToolbox: A computational framework to streamline genetic circuit design in molecular data communications

ABSTRACT Developments in bioengineering and nanotechnology have ignited the research on biological and molecular communication systems. Despite potential benefits, engineering communication systems to carry data signals using biological messenger molecules and engineered cells is challenging. Diffusing molecules may fall behind their schedule to arrive at the receiver, interfering with symbols of subsequent time slots and distorting the signal. Existing theoretical molecular communication models often focus solely on the characteristics of a communication channel and fail to provide an end-to-end system response since they assume a simple thresholding process for a receiver cell and overlook how the receiver can detect the incoming distorted molecular signal. In this paper, we present a model-based and computational framework called BioRxToolbox for designing diffusion-based and end-to-end molecular communication systems coupled with synthetic genetic circuits. We describe a novel framework to encode information as a sequence of bits, each transmitted from the sender as a burst of molecules, control cellular behavior at the receiver, and minimize cellular signal interference by employing equalization techniques from communication theory. This approach allows the encoding and decoding of data bits efficiently using two different types of molecules that act as the data carrier and the antagonist to cancel out the heavy tail of the former. Here, BioRxToolbox is demonstrated using a biological design and computational simulations for various communication scenarios. This toolbox facilitates automating the choice of communication parameters and identifying the best communication scenarios that can produce efficient cellular signals.

Detection of faculae in the transit and transmission spectrum of WASP-69b

Transmission spectroscopy is a powerful tool for understanding exoplanet atmospheres. At optical wavelengths, this technique makes it possible to infer the composition and the presence of aerosols in the atmosphere. However, unocculted stellar activity can result in contamination of atmospheric transmission spectra by introducing spurious slopes and molecular signals. We aim to characterise the atmosphere of the transiting exoplanet WASP-69b, a hot Jupiter orbiting an active K star, and characterise the activity levels of the host star. We obtained three nights of spectrophotometric data with the FORS2 instrument on the VLT, covering a wavelength range of 340-1100\,nm. These were divided into 10\,nm binned spectroscopic light curves, which were fit with a combination of Gaussian processes and parametric models to obtain a transmission spectrum. We performed retrievals on the full spectrum with combined stellar activity and planet atmosphere models. We directly detect a facula in the form of a hot-spot-crossing event in one of the transits and indirectly detect unocculted faculae through an apparently decreasing radius towards the blue end of the transmission spectrum. We determine a facula temperature of $ $\,K for the former and a stellar coverage fraction of around 30<!PCT!> with a temperature of $ T=+231 for the latter. The planetary atmosphere is best fit with a high-altitude cloud deck at 1.4\,mbar that mutes atomic and molecular features. We find indications of water and ammonia with $ and log(NH$_3$)=$-3.4^ $ , respectively, and place 3 upper limits on TiO $) and K ($<10^ $). We see a lack of evidence of Na, which we attribute to the presence of clouds. The simultaneous multi-wavelength observations allow us to break the size--contrast degeneracy for facula crossings, meaning we can obtain temperatures for both the directly and indirectly detected faculae, which are consistent with each other.

Histological transformation in lung adenocarcinoma: Insights of mechanisms and therapeutic windows

Abstract Histological transformation from lung adenocarcinoma (ADC) to small cell lung carcinoma (SCLC), large cell neuroendocrine carcinoma (LCNEC), squamous cell carcinoma (SCC), and sarcomatoid carcinoma (PSC) after targeted therapies is recognized as a mechanism of resistance in ADC treatments. Patients with transformed lung cancer typically experience a poor prognosis and short survival time. However, effective treatment options for these patients are currently lacking. Therefore, understanding the mechanisms underlying histological transformation is crucial for the development of effective therapies. Hypotheses including intratumoral heterogeneity, cancer stem cells, and alteration of suppressor genes have been proposed to explain the mechanism of histological transformation. In this review, we provide a comprehensive overview of the known molecular features and signaling pathways of transformed tumors, and summarized potential therapies based on previous findings.

Food for thought: Nutrient metabolism controlling early T cell development.

T cells develop in the thymus by expressing a diverse repertoire of either αβ- or γδ-T cell receptors (TCR). While many studies have elucidated how TCR signaling and gene expression control T cell ontogeny, the role of nutrient metabolism is just emerging. Here, we discuss how metabolic reprogramming and nutrient availability impact the fate of developing thymic T cells. We focus on how the PI3K/mTOR signaling mediates various extracellular inputs and how this signaling pathway controls metabolic rewiring during highly proliferative and anabolic developmental stages. We highlight the role of the hexosamine biosynthetic pathway that generates metabolites that are utilized for N- and O-linked glycosylation of proteins and how it impacts TCR expression during T cell ontogeny. We consider the dichotomy in metabolic needs during αβ- versus γδ-T cell lineage commitment as well as how metabolism is also coupled to molecular signaling that controls cell fate.

Research on the Therapeutic Effect of Qizhu Anti Cancer Recipe on Colorectal Cancer Based on RNA Sequencing Analysis.

Colorectal cancer is one of the common malignant tumors in clinical practice, and traditional Chinese medicine, as an important adjuvant treatment method, plays important roles in the treatment of malignant tumors. This study aims to explore the mechanism of action of the Qizhu anti-cancer recipe on colorectal cancer through transcriptome sequencing. The control group and Qizhu anti-cancer recipe group were established separately, and sequencing of the cells of the two groups was performed using the Illumina sequencing platform. Two sets of Differentially Expressed Genes (DEGs) were screened using the DESeq2 algorithm, and Principal Component Analysis (PCA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, Disease Ontology (DO), and Protein-Protein Interaction (PPI) were used to comprehensively analyze the molecular functions and signaling pathways enriched by DEGs. A total of 122 DEGs were identified through differential analysis, including 24 upregulated genes and 98 downregulated genes. GO analysis showed that DEGs were mainly enriched in functions such as alkaline phase activity, ion transport, cell differentiation, etc.; KEGG analysis showed that DEGs were mainly enriched in pathways such as Thiamine metabolism, apoptosis, signaling pathways regulating pluripotency of stem cells, cellular senescence and so on. Reactom analysis showed that DEGs were mainly enriched in response pathways such as EGR1,2,3 bind to the NAB2 promoter, EGR binds ARC gene, EGR-dependent NAB2 gene expression, etc.; DO analysis showed that differentially expressed genes were mainly enriched in diseases such as disease of cellular proliferation, disease of anatomical entity, organ system cancer, etc.; PPI analysis identified key differentially expressed genes, including DDIT3, CHAC1, TRIB3, and ASNS. Based on transcriptome sequencing and bioinformatics analysis, it was found that the Qizhu anti-cancer recipe may involve DEGs and signaling pathways in the treatment of colorectal cancer. Our study may provide potential drug targets for developing new treatment strategies for colorectal cancer.

Energy-Based Skin Rejuvenation: A Review of Mechanisms and Thermal Effects.

Energy-based photoelectric and ultrasonic devices are essential for skin rejuvenation and resurfacing in the field of plastic surgery and dermatology. Both functionality and appearance are impacted by factors that cause skin to age, and various energy types have variable skin penetration depths and modes of transmission. The objective is to advise safe and efficient antiaging treatment while precisely and sensitively controlling and assessing the extent of thermal damage to tissues caused by different kinds of energy-based devices. A literature search was conducted on PubMed to review the mechanisms of action and thermal effects of photoelectric and ultrasonic devices in skin remodeling applications. This paper reviews the thermal effects of energy-based devices in skin resurfacing applications, including the tissue level and molecular biochemical level. It seeks to summarize the distribution form, depth of action, and influencing factors of thermal effects in combination with the mechanisms of action of various types of devices. Accurate control of thermal damage is crucial for safe and effective skin remodeling treatments. Thorough investigation of molecular biochemical indicators and signaling pathways is needed for real-time monitoring and prevention of severe thermal injury. Ongoing research and technological advancements will improve the accuracy and control of thermal damage during treatments.

SARM1 Deficiency Induced Depressive-like Behavior via AMPKα/p-eEF2 axis to Synapse Dysfunction

Sterile Alpha and TIR Motif Containing 1 (SARM1) are proteins implicated in various neurological processes; however, their role in depression remains unexplored. This study investigated the contribution of SARM1 to depressive-like behaviors in a chronic stress-induced depression model and SARM1 knockout (KO) mice. Depressive-like behaviors were assessed using a battery of behavioral tests, including the Open Field Test (OFT), the Forced Swim Test (FST), the Sucrose Preference Test (SPT), and the Tail Suspension Test (TST). Mitochondrial energy metabolism alteration, cytokine level changes, and other related molecular signalling protein expression were evaluated using ELISA and western blotting techniques to investigate the underlying mechanisms. Behavioral assessments (OFT, FST, SPT, TST) revealed depressive-like phenotypes in SARM1 KO mice, accompanied by altered mitochondrial energy metabolism (NAD+, ATP) in the cortex. Intriguingly, SARM1 depletion led to peripheral inflammation, as evidenced by elevated cytokine levels in plasma but not in brain regions (cortex). In addition, we found dysregulated energy metabolism, AMPK signaling, and synaptic plasticity in the cortex of SARM1 KO mice. Notably, AICAR (Acadesine), an AMPK activator, ameliorated depressive-like behaviors and synaptic dysfunction, while Compound C, an AMPK inhibitor, reversed these effects. Additionally, NH125, an eEF2 kinase inhibitor, improved depressive-like behaviors in SARM1 KO mice. These findings demonstrate that SARM1 is critical in regulating depressive-like behaviours through the AMPKα/p-eEF2 signalling pathway. Targeting AMPK signaling and synaptic function may offer novel therapeutic avenues for depression.

Elucidating the Signaling Pathways Involved in Erectile Dysfunction

Background: Erectile Dysfunction (ED) is a common sexual disorder among men aged 20 years and over. It is predominantly characterized by alterations in the key physiological pathways regulating erectile function, such as nitric oxide and Ras homolog gene family member A (RhoA)/Rho-associated protein kinase (ROCK). Beyond these pathways, multiple molecular signaling networks are involved in ED pathogenesis. Objective: This review aims todescribe the major signal transduction pathways that impact erectile function and contribute to the introduction of the pathogenesis of ED. Methods: A literature review of ED was performed from 2000 to 2023 using PubMed, Scopus, and Embase. “ED” and “related signaling pathway”, “molecular mechanisms” terms were used. Results: Further basic and clinical studies are required to define the underlying molecular mechanisms of ED. The signaling pathways that were not affected by phosphodiesterase type 5 inhibitors (PDE5i) may be the reason for the reduced efficacy of this first-line treatment option in a variety of conditions. Conclusion: There is still a need for a deeper description of the molecular mechanisms in terms of fibrosis, angiogenesis, apoptosis, inflammation, oxidative stress, autophagy, and hypoxia to identify new possible targets underlying the pathogenesis of ED. This comprehensive review expounds on the principal signaling pathways, offering valuable insights that may catalyze the development of innovative and enhanced therapies for managing ED.

Unveiling the Complexities: Exploring Mechanisms of Anthracycline-Induced Cardiotoxicity.

The coexistence of cancer and heart disease, both prominent causes of illness and death, is further exacerbated by the detrimental impact of chemotherapy. Anthracycline-induced cardiotoxicity is an unfortunate side effect of highly effective therapy in treating different types of cancer; it presents a significant challenge for both clinicians and patients due to the considerable risk of cardiotoxicity. Despite significant progress in understanding these mechanisms, challenges persist in identifying effective preventive and therapeutic strategies, rendering it a subject of continued research even after three decades of intensive global investigation. The molecular targets and signaling pathways explored provide insights for developing targeted therapies, emphasizing the need for continued research to bridge the gap between preclinical understanding and clinical applications. This review provides a comprehensive exploration of the intricate mechanisms underlying anthracycline-induced cardiotoxicity, elucidating the interplay of various signaling pathways leading to adverse cellular events, including cardiotoxicity and death. It highlights the extensive involvement of pathways associated with oxidative stress, inflammation, apoptosis, and cellular stress responses, offering insights into potential and unexplored targets for therapeutic intervention in mitigating anthracycline-induced cardiac complications. A comprehensive understanding of the interplay between anthracyclines and these complexes signaling pathways is crucial for developing strategies to prevent or mitigate the associated cardiotoxicity. Further research is needed to outline the specific contributions of these pathways and identify potential therapeutic targets to improve the safety and efficacy of anthracycline-based cancer treatment. Ultimately, advancements in understanding anthracycline-induced cardiotoxicity mechanisms will facilitate the development of more efficacious preventive and treatment approaches, thereby improving outcomes for cancer patients undergoing anthracycline-based chemotherapy.

The anti-obesity effects of polyphenols: a comprehensive review of molecular mechanisms and signal pathways in regulating adipocytes

Excess weight gain is a growing concern worldwide, fueled by increased consumption of calorie-dense foods and more sedentary lifestyles. Obesity in China is also becoming increasingly problematic, developing into a major public health concern. Obesity not only increases the risk of associated disease but also imposes a burden on health care systems, and it is thus imperative that an effective intervention approach be identified. Recent studies have demonstrated that the polyphenol-rich Mediterranean diet has considerable potential in this regard. Polyphenols can inhibit the production of adipocytes and reduce adverse reactions, such as inflammation, insulin resistance, and gut microflora imbalance. In this review, we examine four polyphenols (curcumin, ellagic acid, ferulic acid, and quercetin) in terms of their potential as interventions targeting obesity. The mechanisms that help promote adipocyte browning, increase thermogenic factors, increase thermogenesis, and regulate adipocyte differentiation are summarized, and key signaling pathways, including PPARγ, C/EBP-, and others, are reviewed.

Female patients exhibit altered vasopressin-induced coronary microvascular contractile response and molecular signaling following cardiac surgery

BackgroundEmerging data suggest women have worse outcomes than men following cardioplegia and cardiopulmonary bypass (CP/CPB). Altered coronary microvascular function affecting myocardial perfusion may contribute, but human translational studies are lacking. MethodsViable coronary microvessels (<200 μ m) were dissected from human atrial samples collected before and after CP/CPB from a subset of 108 patients enrolled. Ex vivo contractile responses to vasopressin were assessed using video microscopy. RNA deep-sequencing and immunoblotting were used to quantify gene and protein expression, respectively. ResultsCoronary microvessels exhibited increased vasopressin-induced contractile responses post-CP/CPB in males and females (p ​< ​0.0001). Females exhibited a decrease in microvascular contractile response versus males pre- (p ​= ​0.1) and post-CP/CPB (p ​= ​0.09) which approached significance. Myocardial vasopressin 1a receptor levels were increased in females versus males (p ​= ​0.001). Vasopressin-induced vasoconstriction predicted postoperative cardiac index. ConclusionsImpaired coronary microvascular contractile responses in females jeopardizing myocardial perfusion may underlie worse outcomes following cardiac surgery.

Quasi-bound states in the continuum with stable dual-resonance wavelengths in mid-infrared metasurface for ultrasensitive refractive index sensing and molecular vibrations of strong coupling

In this paper, a dual-resonances mid-infrared all-dielectric metasurface sensor based on asymmetric cross dimer, which is driven by quasi-bound states in the continuum (QBIC), is proposed and investigated. The metasurface sensor maintains the total permittivity constant when the asymmetric parameter is adjusted, thereby ensuring the stability of the QBIC resonance wavelengths, which exhibit Q-factors of 6351 and 13561, respectively. The multiple decompositions and electromagnetic field distributions reveal that the toroidal dipole is the dominant component of the dual-resonance modes. The sensitivities to the refractive index are 3559 nm/RIU and 1146 nm/RIU, with corresponding figures of merit of 4449 RIU−1 and 2453 RIU−1, respectively. Further numerical simulations have demonstrated a strong coupling phenomenon between the QBIC and the molecular vibrations of polymethyl methacrylate (PMMA), resulting in a significant enhancement of the infrared absorption signal. With the 50-nm-thick PMMA layer, the enhancement of molecular signal is 90.614%.

MRPL44 haploinsufficient mouse spontaneously develops hypertrophic cardiomyopathy and shows systolic dysfunction after aldosterone treatment

Abstract Introduction It has been recently reported there are big differences in pathophysiological and molecular phenotypes in mouse and human hypertrophic cardiomyopathy. These differences are observed all in terms of myocyte redox, mitochondrial number and respiration, mitochondrial reactive oxygen species generation and Ca2+ handling. Therefore we should search for molecules to be able to induce similar phenotype and molecular signaling both in mice and human. Mitochondrial ribosomal large subunit 44 (MRPL44) knockout mice were embryonic lethal, for which mutations are known to cause mitochondrial infantile cardiomyopathy and hypertrophic cardiomyopathy. Purpose Our purpose is to investigate the effect of MRPL44 haploinsufficiency in mice. Methods MRPL44 haploinsufficient (MRPL44+/-) mice were generated. Mineralocorticoid receptor-associated hypertension mice were induced in MRPL44+/- and wild-type (WT, MRPL44+/+) mice with subcutaneous infusion of aldosterone(Aldo) and 8% NaCl food for 4 weeks after uninephrectomy. Systolic blood pressure was measured by tail cuffs every week. WB, qPCR, cardiac echo, and histological examinations were performed. RNA sequencing analysis, electron microscopy examinations and mitochondrial activity assay were performed to find differences between MRPL44+/- and MRPL44+/+ mice. Results MRPL44 haploinsufficient mice spontaneously developed left ventricular hypertrophy in 6 weeks old. Heart rate, blood pressure, and cardiac systolic function were normal in MRPL44 haploinsufficient mice. MRPL44 was decreased about to 70% in MRPL44 haploinsufficient mice and mitochondrial arrangement were impaired in electron microscopic analysis. After Aldo treatment, blood pressure elevation were similar, however, MRPL44 haploinsufficient mice developed left ventricular systolic dysfunction and dilation compared with MRPL44+/+ mice. WB showed mitochondrial electron transport chain protein complex IV expression was significantly decreased. Furthermore, mitochondrial activity assay showed MRPL44 haploinsufficient mice had a significant reduction in complex IV activity, whereas complex I and II activity were similar to MRPL44+/+ mice. RNA sequencing analysis showed the significant changes in the expression of ribosomal subunits coded by nucleus in addition to mitochondrial ribosomal subunits. These results indicate MRPL44 plays an important role in the cardiac function of mitochondrial electron transport chain protein complexes via the expression of ribosomal protein subunits coded by both nucleus and mitochondria. Conclusions MRPL44 haploinsufficient mice spontaneously develop left ventricular hypertrophy and shows systolic dysfunction after aldosterone treatment accompanied with oxidative phosphorylation enzyme dysfunction.

LncRNA MEG3 promotes aortic valve calcification by inducing osteoblast differentiation via Wnt catenin signaling pathway

Abstract Background Calcific aortic valve stenosis (CAVS) is the most common valvular heart disease in elderly population. This study aimed to investigate the role of long non-coding RNAs (lncRNAs) in the development of CAVS. Methods ldlr-/-mice were feeding with western diet for 6 months to induce CAVS. RNA-seq analysis was performed to identify differentially expressed molecular signaling between aortic valves of CAVS mice and control mice. The degree of aortic stenosis was detected by ultrasound. Calcium salt deposits were detected by Haematoxylin and eosin (H&amp;E) staining, Von Kossa staining and alizarin red S staining. PCR and western blotting were employed to detect osteogenic differentiation markers after various interventions. Results A mouse CAVS model was successfully established, as evidenced by increased thickness and calcium deposition in the aortic valve leaflets and increased transvalvular peak jet velocity. RNA-seq analysis showed that lncRNA MEG3 was significantly enriched in aortic valves of CAVS mice as compared to that of control mice. MEG3 expression in aortic valve, assessed by RNA in situ hybridization and PCR, was also significantly upregulated during the osteoblast differentiation of AVICs in vitro. Gain- and loss-of-function experiments indicate that MEG3 could indeed promote osteoblast differentiation of primary AVICs as evidenced by increased calcified nodule formation and expressions of osteoblast differentiation markers (Runx2 and osterix). Consistent with these in vitro data, MEG3 knockdown in vivo through tail injection of antisense oligonucleotide chain MEG3 (ASO-MEG3) at 6 weeks interval for 12 weeks significantly attenuated aortic valve calcification in CAVS mice. Subsequent KEGG analysis demonstrated that the Wnt/β-catenin signaling pathway was significantly enriched during the CAVS progression. Overexpression of MEG3 activated the Wnt/β-catenin signaling pathway and upregulated osteogenic protein expressions, while this upregulation could be significantly ameliorated by Dickkopf 1, a Wnt/β-catenin pathway inhibitor. Conclusion Present study demonstrates that LncRNA MEG3 could promote aortic valve calcification by inducing osteoblast differentiation via activating Wnt/β-catenin signaling pathway. Our results provide experimental evidence of targeting MEG3 and Wnt/β-catenin signaling pathway as potential promising therapeutic option for prevention and treatment of aortic valve calcification.

RGS5 balances macrophage vs vascular smooth muscle cell origin of foam cells in apoE-deficient plaques

Abstract Background G Protein Coupled Receptors and regulators of G-protein signalling (RGS), play a pivotal role in the signalling processes associated with atherosclerosis [1]. RGS5 is highly expressed in aortic tissue [2]. Development of atherosclerotic plaque is a complex process that involves foam cells originating from macrophages (Mϕ) and/or vascular smooth muscle cells (VSMCs). Differentiation of Mϕ and VSMC into various intermediary cells of varying inflammatory potency affects atherosclerotic plaque composition and vulnerability [3]. We hypothesize that RGS5 is involved in signalling of foam cell transition and thus, plaque biology. Purpose To evaluate the role of RGS5 on atherosclerotic plaque complexity and shifts of foam cell origin. Methods ApoE-/-RGS5+/+ and ApoE-/-RGS5-/- mice were fed a high fat Western Diet for 14 weeks. Cryosections bearing aortic valve cusps were used for staining. Lesion size was quantified on hematoxylin and eosin staining. Plaque composition was assessed by CD68, CD45, Oil red O and collagen staining. Triple staining was performed for CD45, CD68 and aSMA. Double immunofluorescent staining for CD45 and pro- and anti-inflammatory markers was carried out. Co-Localisation was analysed by Zeiss Zen. Data were analysed using Mann-Whitney-U test. Results Lesion size was significantly reduced in RGS5-deficient mice in comparison to control (in mm2: 0.398±0.02 vs 0.191±0.09, p=0.0001, n=15). Relative areas positive for Oil Red O and collagen did not differ between genotypes. Area positive for leukocyte marker CD45 increased significantly by 30.8% (p&amp;lt;0.0001, n=15), whereas area positive for CD68 was reduced by 10.3% (p=0.0292, n=15) in RGS5-deficient mice. Absence of RGS5 decreased co-localization of Mϕ-derived foam cells by 23% (p=0.03734, n=4-5) while leading to an 5.8% increase in aSMA-derived foam cells compared to control. Area positive for pro-inflammatory M1 Mϕ marker CD86 and iNOS increased by 36.3% and 36.8% after RGS5 knock-out (p&amp;lt;0.0001, n=15). No difference in M2 Mϕ positive area was observed when RGS5 was lacking. Conclusion RGS5 promotes plaque formation. The number of Mϕ-derived foam cells is increased by RGS5, while it reduces inflammatory M1 Mϕ. Interestingly, there were no differences in numbers of M2 Mϕ, indicating RGS5 inhibits VSMCs transition to M1 Mϕ resulting in an overall decrease of CD68-positive foam cells. Further study is required to determine molecular signalling of RGS5 that modulates the phenotype of Mϕ- and VSMC-derived cells. RGS5 could be useful as therapeutic target to suppress undesirable plaque phenotypes and to reduce acute cardiovascular events.

HNCDrugResDb: a platform for deciphering drug resistance in head and neck cancers

Drug resistance poses a significant obstacle to the success of anti-cancer therapy in head and neck cancers (HNCs). We aim to develop a platform for visualizing and analyzing molecular expression alterations associated with HNC drug resistance. Through data mining, we convened differentially expressed molecules and context-specific signaling events involved in drug resistance. The driver genes, interaction networks and transcriptional regulations were explored using bioinformatics approaches. A total of 2364 differentially expressed molecules were identified in 78 distinct drug-resistant cells against 14 anti-cancer drugs, comprising 1131 mRNAs, 746 proteins, 62 lncRNAs, 257 miRNAs, 1 circRNA, and 166 post-translational modifications. Among these, 255 molecules were considerably, the signature driver genes of HNC drug resistance. Further, we also developed a landscape of signaling pathways and their cross-talk with diverse signaling modules involved in drug resistance. Additionally, a publicly-accessible database named “HNCDrugResDb” was designed with browse, query, and pathway explorer options to fetch and enrich molecular alterations and signaling pathways altered in drug resistance. HNCDrugResDb is also enabled with a Drug Resistance Analysis tool as an initial platform to infer the likelihood of resistance based on the expression pattern of driver genes. HNCDrugResDb is anticipated to have substantial implications for future advancements in drug discovery and optimization of personalized medicine approaches.

Exopolysaccharide is detrimental for the symbiotic performance of Sinorhizobium fredii HH103 mutants with a truncated lipopolysaccharide core.

The nitrogen-fixing rhizobia-legume symbiosis relies on a complex interchange of molecular signals between the two partners during the whole interaction. On the bacterial side, different surface polysaccharides, such as lipopolysaccharide (LPS) and exopolysaccharide (EPS), might play important roles for the success of the interaction. In a previous work we studied two Sinorhizobium fredii HH103 mutants affected in the rkpK and lpsL genes, which are responsible for the production of glucuronic acid and galacturonic acid, respectively. Both mutants produced an altered LPS, and the rkpK mutant, in addition, lacked EPS. These mutants were differently affected in symbiosis with Glycine max and Vigna unguiculata, with the lpsL mutant showing a stronger impairment than the rkpK mutant. In the present work we have further investigated the LPS structure and the symbiotic abilities of the HH103 lpsL and rkpK mutants. We demonstrate that both strains produce the same LPS, with a truncated core oligosaccharide devoid of uronic acids. We show that the symbiotic performance of the lpsL mutant with Macroptilium atropurpureum and Glycyrrhiza uralensis is worse than that of the rkpK mutant. Introduction of an exoA mutation (which avoids EPS production) in HH103 lpsL improved its symbiotic performance with G. max, M. atropurpureum, and G. uralensis to the level exhibited by HH103 rkpK, suggesting that the presence of EPS might hide the truncated LPS produced by the former mutant.

Ultrasensitive Single-Molecule Biosensor by Periodic Modulation of Magnetic Particle Motion.

Ultrasensitive detection of low-abundance biomarkers by modern single-molecule technologies is critical for better diagnosis of severe diseases, but inevitable nonspecific bindings often cause fluctuations in the single-molecule counting results. Here we present an approach to improve the specificity in a single-molecule immunoassay by translating molecular binding signals into periodic nanomotion of magnetic particles. The sandwiched immunoassay is modified by using a long linker to tether one antibody onto a gold-covered substrate and a magnetic particle with another antibody coated as the reporter. By actively oscillating the particles with alternating magnetic fields, we could reliably identify specific binding through intensity fluctuation in plasmonic images of single particles. As a proof of concept, we demonstrate the detection of IFN-γ at the femtomolar level by the digital counting of specifically bound molecules. This active strategy outperforms existing passive motion-based approaches in sensitivity and speed, paving the way for disease diagnosis with low-abundance biomarkers.

Advancing Frontiers in Colorectal Cancer: Exploring Novel Insights and Emerging Trends in Research and Therapy

Colorectal cancer, a known form of cancer poses a global health threat. Ongoing studies are actively investigating perspectives and evolving treatments. This review explores the developments in cancer research covering topics such as profiling, microbiome interactions, immunotherapy, precision medicine, tumor environment analysis, liquid biopsies, metabolic changes, artificial intelligence applications and patient centric care. Molecular subtyping advancements have greatly improved our understanding of the nature of cancer and how different individuals respond to therapies. The significant link between gut microbiome composition, inflammation levels and immune responses underscores the importance of interventions targeting the microbiome and innovative immunotherapy strategies. Precision medicine initiatives are leveraging biomarkers and molecular signals to inform treatment decisions and optimize outcomes. This thorough examination highlights the impact of evolving trends in cancer research and treatment strategies while offering insights into directions for improving patient care and results.Keywords: Cancer research; Microbiome interaction; Immunotherapy; Liquid biopsy; Biomarkers