Activation Of Transcription Factors Research Articles

Non-transcriptional regulatory activity of SMAX1 and SMXL2 mediates karrikin-regulated seedling response to red light in Arabidopsis

Karrikins and strigolactones govern plant development and environmental responses through closely related signaling pathways. The transcriptional repressor proteins SUPPRESSOR OF MAX2 1 (SMAX1), SMAX1-like2 (SMXL2), and D53-like SMXLs mediate karrikin and strigolactone signaling by directly binding downstream genes or by inhibiting the activities of transcription factors. In this study, we characterized the non-transcriptional regulatory activities of SMXL proteins in Arabidopsis. We discovered that SMAX1 and SMXL2 with mutations in their ethylene-response factor-associated amphiphilic repression (EAR) motif had undetectable or weak transcriptional repression activities but still partially rescued the hypocotyl elongation defects and fully reversed the cotyledon epinasty defects of the smax1 smxl2 mutant. SMAX1 and SMXL2 directly interact with PHYTOCHROME INTERACTION FACTOR 4 (PIF4) and PIF5 to enhance their protein stability by interacting with phytochrome B (phyB) and suppressing the association of phyB with PIF4 and PIF5. The karrikin-responsive genes were then identified by treatment with GR24ent−5DS, a GR24 analog showing karrikin activity. Interestingly, INDOLE-3-ACETIC ACID INDUCIBLE 29 (IAA29) expression was repressed by GR24ent−5DS treatment in a PIF4- and PIF5-dependent and EAR-independent manner, whereas KARRIKIN UPREGULATED F-BOX 1 (KUF1) expression was induced in a PIF4- and PIF5-independent and EAR-dependent manner. Furthermore, the non-transcriptional regulatory activity of SMAX1, which is independent of the EAR motif, had a global effect on gene expression. Taken together, these results indicate that non-transcriptional regulatory activities of SMAX1 and SMXL2 mediate karrikin-regulated seedling response to red light.

The CD6 interactome orchestrates ligand-independent T cell inhibitory signaling

BackgroundT-cell membrane scaffold proteins are pivotal in T cell function, acting as versatile signaling hubs. While CD6 forms a large intracellular signalosome, it is distinguished from typical scaffolds like LAT or PAG by possessing a substantial ectodomain that binds CD166, a well-characterized ligand expressed on most antigen-presenting cells (APC), through the third domain (d3) of the extracellular region. Although the intact form of CD6 is the most abundant in T cells, an isoform lacking d3 (CD6∆d3) is transiently expressed on activated T cells. Still, the precise character of the signaling transduced by CD6, whether costimulatory or inhibitory, and the influence of its ectodomain on these activities are unclear.MethodsWe expressed CD6 variants with extracellular deletions or cytosolic mutations in Jurkat cells containing eGFP reporters for NF-κB and NF-AT transcription factor activation. Cell activation was assessed by eGFP flow cytometry following Jurkat cell engagement with superantigen-presenting Raji cells. Using imaging flow cytometry, we evaluated the impact of the CD6-CD166 pair on cell adhesiveness during the antigen-dependent and -independent priming of T cells. We also examined the role of extracellular or cytosolic sequences on CD6 translocation to the immunological synapse, using immunofluorescence-based imaging.ResultsOur investigation dissecting the functions of the extracellular and cytosolic regions of CD6 revealed that CD6 was trafficked to the immunological synapse and exerted tonic inhibition wholly dependent on its cytosolic tail. Surprisingly, however, translocation to the synapse occurred independently of the extracellular d3 and of engagement to CD166. On the other hand, CD6 binding to CD166 significantly increased T cell:APC adhesion. However, this activity was most evident in the absence of APC priming with superantigen, and thus, in the absence of TCR engagement.ConclusionsOur study identifies CD6 as a novel ‘on/off’ scaffold-receptor capable of modulating responsiveness in two ways. Firstly, and independently of ligand binding, it establishes signaling thresholds through tonic inhibition, functioning as a membrane-bound scaffold. Secondly, CD6 has the capacity for alternative splicing-dependent variable ligand engagement, modulating its checkpoint-like activity.

Transcriptional Response of Wolfberry to Infestation with the Endophytic Fusarium nematophilum Strain NQ8GII4.

Fusarium nematophilum NQ8GII4 is an endophytic fungus isolated from the root of healthy wolfberry (Lycium barbarum). Previous studies have reported that NQ8GII4 could dwell in wolfberry roots and enhance the defense responses in wolfberry against root rot, which is caused by F. oxysporum. To further elucidate the molecular mechanism of wolfberry disease resistance induced by NQ8GII4, in the present study, we adopted RNA sequencing analysis to profile the transcriptome of wolfberry response to NQ8GII4 infestation over a time course of 3 and 7 days postinoculation. Gene ontology enrichment analysis revealed that differentially expressed genes (DEGs) were enriched in biological regulation, response to stimulus, signaling, detoxification, immune system process, transporter activity, electron carrier activity, transcription factor activity, nucleic acid binding transcription factor, and antioxidant activity. Through Kyoto Encyclopedia of Genes and Genomes analysis, it was found that many of these DEGs were enriched in pathways related to plant-pathogen interactions, hormone signal transduction, and the phenylpropanoid biosynthesis pathway in wolfberry. This result suggested that innate immunity, phytohormone signaling, and numerous phenylpropanoid compounds comprise a complex defense network in wolfberry. Chloroplast 50S ribosomal proteins were consistently located at the core position of the response in wolfberry following infestation with NQ8GII4 analyzed by the protein-protein interaction network. This study elucidated the molecular mechanism underlying the interaction between NQ8GII4 and wolfberry, clarified the wolfberry immune response network to endophytic fungi infestation, identified candidate resistance genes in wolfberry, and provided a fundamental date for subsequent work.

#894 Dynamic multi-omics and mechanistic modelling approach provides deeper insight into kidney fibrosis progression

Abstract Background and Aims Chronic kidney disease (CKD) affects more than 10% of the world's population and causes millions of deaths annually. Organ fibrosis is the main driver of CKD, leading to excessive accumulation of extracellular matrix (ECM). The presence of myofibroblasts correlates with disease progression. The pro-fibrotic responses of these cells, such as ECM production, are driven by the master regulator TGF-β. Despite progress in understanding the disease, there are no treatments available, and current diagnostic indicators neither facilitate early detection of CKD nor correlate with actual renal damage [1–4] Using human kidney-derived PDGFRβ+ mesenchymal cells we aim to provide time-resolved mechanistic insight into CKD progression. Method Our goal is to understand and model how these cells contribute to fibrosis by studying their kinetic response to TGF-β. Therefore, we use multiple omics measurements: transcriptomics, secretomics and phospho-/proteomics coupled with quantitative imaging of the ECM. For each time point, we quantified differential changes in omics and estimated the activities of transcription factors, kinases and phosphatases [5]. Furthermore, we used causal reasoning to draw mechanistic relationships between omics layers within and across time points. Results For validation, we focused on a set of transcription factors that also showed importance in the network context that considers several data modalities. Using knock-down experiments, we show the relevance of these transcription factors for the ECM deposition as well as the fibrotic response to TGF-β. Conclusion Taken together, by applying mechanistic modeling and the integration of multiple datasets, we are contributing to a better understanding of the factors and mechanisms driving kidney fibrosis. Furthermore, we will publish this dataset and thus provide a valuable resource for researchers in the field of CKD.

Characterization of clinical data for patient stratification in moderate osteoarthritis with support vector machines, regulatory network models, and verification against osteoarthritis Initiative data

Knee osteoarthritis (OA) diagnosis is based on symptoms, assessed through questionnaires such as the WOMAC. However, the inconsistency of pain recording and the discrepancy between joint phenotype and symptoms highlight the need for objective biomarkers in knee OA diagnosis. To this end, we study relationships among clinical and molecular data in a cohort of women (n = 51) with Kellgren–Lawrence grade 2–3 knee OA through a Support Vector Machine (SVM) and a regulation network model. Clinical descriptors (i.e., pain catastrophism, depression, functionality, joint pain, rigidity, sensitization and synovitis) are used to classify patients. A Youden’s test is performed for each classifier to determine optimal binarization thresholds for the descriptors. Thresholds are tested against patient stratification according to baseline WOMAC data from the Osteoarthritis Initiative, and the mean accuracy is 0.97. For our cohort, the data used as SVM inputs are knee OA descriptors, synovial fluid proteomic measurements (n = 25), and transcription factor activation obtained from regulatory network model stimulated with the synovial fluid measurements. The relative weights after classification reflect input importance. The performance of each classifier is evaluated through ROC-AUC analysis. The best classifier with clinical data is pain catastrophism (AUC = 0.9), highly influenced by funcionality and pain sensetization, suggesting that kinesophobia is involved in pain perception. With synovial fluid proteins used as input, leptin strongly influences every classifier, suggesting the importance of low-grade inflammation. When transcription factors are used, the mean AUC is limited to 0.608, which can be related to the pleomorphic behaviour of osteoarthritic chondrocytes. Nevertheless, funcionality has an AUC of 0.7 with a decisive importance of FOXO downregulation. Though larger and longitudinal cohorts are needed, this unique combination of SVM and regulatory network model shall help to stratify knee OA patients more objectively.

The reverse transcriptase inhibitor 3TC modulates hippocampal transcriptome signatures of inflammation in tauopathy model mice

Reducing neuroinflammation, a key contributor to brain aging and neurodegenerative diseases, is a promising strategy for improving cognitive function in these settings. The FDA-approved nucleoside reverse transcriptase inhibitor 3TC (Lamivudine) has been reported to improve cognitive function in old wild-type mice and multiple mouse models of neurodegenerative disease, but its effects on the brain have not been comprehensively investigated. In the current study, we used transcriptomics to broadly characterize the effects of long-term supplementation with a human-equivalent therapeutic dose of 3TC on the hippocampal transcriptome in male and female rTg4510 mice (a commonly studied model of tauopathy-associated neurodegeneration). We found that tauopathy increased hippocampal transcriptomic signatures of neuroinflammation/immune activation, but 3TC treatment reversed some of these effects. We also found that 3TC mitigated tauopathy-associated activation of key transcription factors that contribute to neuroinflammation and immune activation, and these changes were related to improved recognition memory performance. Collectively, our findings suggest that 3TC exerts protective effects against tauopathy in the hippocampus by modulating inflammation and immune activation, and they may provide helpful insight for ongoing clinical efforts to determine if 3TC and/or related therapeutics hold promise for treating neurodegeneration.

Oral submucosal fibrosis induced by active components in areca nut: a network pharmacology-based analysis and validation of the mechanism

To explore the pharmacologically active components in areca nut that induce oral submucosal fibrosis (OSF) and the possible mechanism. The chemical components in areca nut were analyzed using Thermo QE plus liquid chromatography tandem high-resolution mass spectrometer and Compound discover 3.2 data processing software. The chemical activity of the top 20 compounds was analyzed based on Chinese Pharmacopoeia (2015), PubChem, Chemical book, and SciFinder databases. The potential active components, core targets, biological functions and signaling pathways affecting OSF were analyzed by network pharmacology. The targets of OSF were obtained by integrating Genecards and KEGG databases. The compounds acting on the targets were selected from the Systematic Pharmacology Technology Platform of Traditional Chinese Medicine (TCMSP), and the target-compound, compound-TCM, target-compound-TCM network was constructed. Molecular docking was used to analyze the component-target binding. Immunohistochemistry was used to examine the expressions of key proteins in the PI3K-Akt and MAPK pathways in clinical samples of OSF. The core intersection target genes between the top 10 active ingredients in areca nut extract and OSF involved mainly the PI3K-Akt and MAPK pathways. In the clinical samples, the expressions of PI3K protein decreased and the expressions p-PI3K, AKT1 and PAkt all increased significantly in OSF tissue, where increased JNK protein expression and enhanced activity of c-Jun and c-Fos transcriptional factors were also detected. The OSF patients had significantly elevated plasma levels of IL-6 and IL-8 compared with healthy individuals. The main active ingredients including arecoline, arecaine, and guvacine are capable of activating the PI3K-Akt and MAPK pathways to promote the expressions of inflammatory mediators IL-6 and IL-8 and induce collagen hyperplasia, thus leading to the occurrence of oral submucosal fibrosis.

Differential expressions of endoplasmic reticulum stress-associated genes in aortic dissection and their correlation with immune cell infiltration

To explore differentially expressed endoplasmic reticulum stress-associated genes (ERSAGs) in aortic dissection (AD) and their correlations with immune cell infiltration to identify new therapeutic targets for AD. Two AD mRNA expression datasets (GSE190635 and GSE98770) were downloaded from GEO database for analysis of differentially expressed genes between the aorta of AD patients and normal aorta using R software. ERSAGs dataset was downloaded from GeneCards website, and GeneMANIA database was used to analyze the protein-protein interaction network of the differentially expressed ERSAGs and the proteins interacting with these genes. Based on GSE98770 dataset we analyzed the distributions of 22 immune cells within the aortic wall of AD patients using CIBERSORT package of R software. Surgical aortic wall specimens were obtained from 10 AD patients and 10 non-AD patients for detecting AGER mRNA expression using qRTPCR, and the upstream transcriptional factors, miRNAs, and chemicals targeting AGER were analyzed using the TRRUST database and NetworkAnalyst database. Bioinformatic analysis suggested significant differential expression of AGER in AD, which interacted with 20 proteins involved in pattern recognition receptor signaling pathway, positive regulation of DNA-binding transcription factor activity, myeloid leukocyte migration, leukocyte migration, and regulation of the I-κB kinase/NF-κB signaling. In AD, AGER expression level was positively correlated with Treg cell abundance (r=0.59, P < 0.05). The results of qRT-PCR demonstrated significantly lower expression of AGER mRNA in AD than in non-AD patients (1.00±0.30 vs 1.76±0.68, P < 0.05). ROC curve analysis showed that at the cut-off value of 1.335, AGER had an AUC of 0.86 (95% CI: 0.67-1.00, P= 0.0073) for predicting AD. Three transcriptional factors, 3 miRNAs, and 27 chemicals were predicted in the AGER regulatory network. AGER is lowly expressed in the aorta of AD patients and may influence the occurrence of AD through Treg cells.

Decoding the functionality of plant transcription factors.

Transcription factors (TFs) intricately govern cellular processes and responses to external stimuli by modulating gene expression. TFs help plants to balance the trade-off between stress tolerance and growth, thus ensuring their long-term survival in challenging environments. Understanding the factors and mechanisms that define the functionality of plant TFs is of paramount importance for unravelling the intricate regulatory networks governing development, growth, and responses to environmental stimuli in plants. This review provides a comprehensive understanding of these factors and mechanisms defining the activity of TFs. Understanding the dynamic nature of TFs has practical implications for modern molecular breeding programmes, as it provides insights into how to manipulate gene expression to optimize desired traits in crops. Moreover, recent studies also report the functional duality of TFs, highlighting their ability to switch between activation and repression modes; this represents an important mechanism for attuning gene expression. Here we discuss what the possible reasons for the dual nature of TFs are and how this duality instructs the cell fate decision during development, and fine-tunes stress responses in plants, enabling them to adapt to various environmental challenges.

Transcription factors ERα and Sox2 have differing multiphasic DNA- and RNA-binding mechanisms.

Many transcription factors (TFs) have been shown to bind RNA, leading to open questions regarding the mechanism(s) of this RNA binding and its role in regulating TF activities. Here, we use biophysical assays to interrogate the k on, k off, and K d for DNA and RNA binding of two model human TFs, ERα and Sox2. Unexpectedly, we found that both proteins exhibit multiphasic nucleic acid-binding kinetics. We propose that Sox2 RNA and DNA multiphasic binding kinetics can be explained by a conventional model for sequential Sox2 monomer association and dissociation. In contrast, ERα nucleic acid binding exhibited biphasic dissociation paired with novel triphasic association behavior, in which two apparent binding transitions are separated by a 10-20 min "lag" phase depending on protein concentration. We considered several conventional models for the observed kinetic behavior, none of which adequately explained all the ERα nucleic acid-binding data. Instead, simulations with a model incorporating sequential ERα monomer association, ERα nucleic acid complex isomerization, and product "feedback" on isomerization rate recapitulated the general kinetic trends for both ERα DNA and RNA binding. Collectively, our findings reveal that Sox2 and ERα bind RNA and DNA with previously unappreciated multiphasic binding kinetics, and that their reaction mechanisms differ with ERα binding nucleic acids via a novel reaction mechanism.

Abstract B026: APOBEC3 promotes squamous differentiation via IL1A/AP-1 signaling

Abstract The APOBEC family of cytidine deaminase enzymes catalyze the conversion of cytosine to uracil in ssDNA and RNA substrates. The resulting C to U transition has been noted in the innate immune response to viral infection, and somatic hypermutation. However, APOBEC family members APOBEC3A (hA3A) and APOBEC3B (hA3B) have been implicated as drivers of the APOBEC3 mutational signatures in numerous cancer types. Notably, approximately 70% of single nucleotide variant mutations in bladder cancer can be attributed to APOBEC3 induced mutagenesis. Studies have implicated various APOBEC3 family members to be drivers of tumorigenesis, disease progression, and therapeutic resistance. To investigate APOBEC3’s role in bladder cancer, we have generated a novel, cre-inducible, pten and p53 knockout, to overexpress mouse Apobec3(mA3) in Upk3a+ cells (UPPA), compared to a model that does not overexpress mA3 (UPP). Apobec3 expression was shown to accelerate bladder tumor formation, indicated by a shorter median time of tumor latency in the UPPA model (43.3 weeks) compared to the UPP model (53.6 weeks). While both tumor models had presence of squamous differentiation, the extensiveness was more profound in the UPPA tumors. Transcriptional analysis of UPP and UPPA tumors, via scRNA sequencing, revealed an enrichment of squamous gene expression in the UPPA tumors. Utilizing mouse syngeneic bladder cancer cell lines and normal bladder urothelial cells, we overexpressed mA3 in a doxycycline inducible manner. Overexpression of mA3 was shown to prevent luminal differentiation. Additionally, mA3 overexpression resulted in the increase of IL-1a production. IL-1a production was sufficient to drive squamous differentiation in BBN963 and normal bladder urothelial cells. Blocking cFOS and IL-1R, individually, prevented expression of squamous genes. These results suggest that DNA damage induced by mA3 is sufficient to drive squamous differentiation via signaling through IL-1a resulting in AP-1 transcription factor activation. We then analyzed bladder cancer samples from The Cancer Genome Atlas and found that hA3A was the only APOBEC family member to be significantly associated with squamous gene expression. Interestingly, hA3A expression was enriched in the basal/squamous consensus subtype. To further interrogate the potential of hA3A being a driver of squamous differentiation in bladder cancer, we have also generated doxycycline inducible expression of hA3A and hA3B in syngeneic bladder cancer cell lines. Targeting IL-1a in various autoimmune diseases has resulted in FDA approval of antibodies targeting IL-1a and IL-1R. Given the clinical utility of targeting IL-1a, it is plausible to target this signaling axis for therapeutic benefit in bladder cancers with ongoing hA3A activity. In aggregate, our work demonstrates the promotion of an aggressive tumor state, driven by APOBEC mutagenesis and implicates hA3A as a possible driver of squamous differentiation in urothelial carcinoma. Citation Format: Andrew S. Truong, Michael S. Sturdivant, Mi Zhou, Wolfgang A. Beckabir, John Raupp, Ujjawal Manocha, Elliot D. Toomer, Ibardo A. Zambrano, Hung-Jui Tan, Marc A. Bjurlin, Angela B. Smith, Tracy L. Rose, Matthew I. Milowsky, Sara E. Wobker, Kathryn H. Gessner, Jeffrey S. Damrauer, William Y. Kim. APOBEC3 promotes squamous differentiation via IL1A/AP-1 signaling [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr B026.

Abstract PR002: Sarcomatoid Histological Variants of Canine Muscle-Invasive Bladder Cancer: Transcription Factor Activation Highlights Pathways of Epithelial-Mesenchymal Transformation Similar to Humans

Abstract The histologic heterogeneity of human Muscle Invasive Bladder Cancer (MIBC) is one of the main contributing factors to poor treatment outcomes. Recent reports on MIBC histological variants have highlighted increased levels of transcription factors (TF) associated with epithelial-mesenchymal transformation (EMT) and epigenetic regulation in the sarcomatoid histology variant of MIBC. Dogs with spontaneously developing MIBC have been shown to display similar histological and molecular features, in addition to closely mimicking the clinical behavior of human MIBC. Here, we add to previously reported data on histological variants in canine MIBC by evaluating 21 tumor biopsies for variant histology and performing bulk RNAseq analyses on 3 organoid cell lines derived from one sarcomatoid subvariant and two conventional urothelial carcinoma (UC). MIBC biopsies from 21 dogs were reviewed for variant histology by a human urologic pathologist. Organoids derived from the urine of canine MIBC patients were cultured, preserved in RNA later, and sequenced for mRNA expression to identify TF associated with sarcomatoid variants versus conventional UC. All canine MIBC biopsies were classified as invasive, high-grade UC. Histologic variants were identified as glandular differentiation in 7/21, sarcomatoid differentiation in 3/21, squamous differentiation in 3/21, micropapillary carcinoma in 1/21 MIBC samples and small nested variants in 1/21 samples; with the rest of the tumors classified as conventional UC. Raw RNAseq analyses revealed no clear clustering of expression profiles between the three organoid cell lines, indicating distinct RNA expression profiles between the sarcomatoid variants and conventional UC of canine MIBC. To evaluate differences in the expression of TF targets between the organoid cell lines, pathway analyses and VIPER algorithms were used. Organoids derived from sarcomatoid variant UC showed increased expression of Snail familiy transcription repressor 1 (SNAI1) along with decreased expression of cadherin 1 (CDH1), indicating a signature of EMT, similar to that previously identified in human MIBC organoids with sarcomatoid variant histology. Canine MIBC organoids derived from conventional UC histology samples showed a TF profile associated with proliferation, metastasis, and progression, such as increased Zinc finger E-box binding homeobox 1 (ZEB1), E2F transcription factor 3 (E2F3), and centromere protein F (CENPF), as previously described in humans with high grade, invasive UC. In conclusion, the frequency of some histologic variants in canine MIBC, such as sarcomatoid UC, appear to be higher than reported in human patients. TF analyses of canine MIBC-derived organoid cell lines showed evidence of EMT, similar to the sarcomatoid variants of MIBC in humans. Organoids derived from canine MIBC could potentially serve as a valuable model for evaluating the efficacy of novel treatment modalities for the rare histologic variants of UC. Citation Format: Karin Allenspach, Mohamed Elbadawy, Hannah Nocholson, Christopher Zdyrski, John Cheville, Eugene Douglass, Elizabeth W. Howerth, Lilian Oliveira, Jonathan P. Mochel. Sarcomatoid Histological Variants of Canine Muscle-Invasive Bladder Cancer: Transcription Factor Activation Highlights Pathways of Epithelial-Mesenchymal Transformation Similar to Humans [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr PR002.

A novel 12-membered ring non-antibiotic macrolide EM982 attenuates cytokine production by inhibiting IKKβ and IκBα phosphorylation

Antimicrobial resistance poses a serious threat to human health worldwide and its incidence continues to increase owing to the overuse of antibiotics and other factors. Macrolide antibiotics such as erythromycin (EM) have immunomodulatory effects in addition to their antibacterial activity. Long-term, low-dose administration of macrolides has shown clinical benefits in treating non-infectious inflammatory respiratory diseases. However, this practice may also increase the emergence of drug-resistant bacteria. In this study, we synthesized a series of EM derivatives, and screened them for two criteria: (i) lack of antibacterial activity and (ii) ability to suppress tumor necrosis factor-α (TNF-α) production in THP-1cells stimulated with lipopolysaccharide. Among the 37 synthesized derivatives, we identified a novel 12-membered ring macrolide EM982 that lacked antibacterial activity against Staphylococcus aureus and suppressed the production of TNF-α and other cytokines. The effects of EM982 on Toll-like receptor 4 (TLR4) signaling were analyzed using a reporter assay and Western blotting. The reporter assay showed that EM982 suppressed the activation of transcription factors, NF-κB and/or activator protein 1 (AP-1), in HEK293cells expressing human TLR4. Western blotting showed that EM982 inhibited the phosphorylation of both IκB kinase (IKK) β and IκBα, which function upstream of NF-κB, whereas it did not affect the phosphorylation of p38 mitogen-activated protein kinase, extracellular signal-regulated kinase, and c-Jun N-terminal kinase, which act upstream of AP-1. These results suggest that EM982 suppresses cytokine production by inhibiting phosphorylation of IKKβ and IκBα, resulting in the inactivation of NF-κB.

Effects of Cinnamon on Cancer Prevention and Progression

Cinnamon has been used medicinally for centuries, but recently research has suggested it may have a role in cancer prevention and potentially treatment. The search for alternative and subjunctive therapies is essential due to the public demand and the increasing cost of healthcare. Here we review the biologically active components of cinnamon and discuss the methods of potential cinnamon activity against cancer including: transcription factor regulation and kinase activity. Nuclear Factor kappa B (NF-\(𝜿\)B) is a stress sensitive transcription factor that regulates transcription of genes involved in tumor progression and is inhibited by cinnamon components. Another way that cinnamon inhibits tumor growth is by suppression of transcription factor activator protein -1 (AP-1) which interacts with genes responsible for apoptosis, metastasis and inflammation. Hypoxia-inducible transcription factor-1 (HIF-1) and vascular endothelial growth factor (VEGF) are involved in angiogenesis, especially in the tumor microenvironment. The HIF-1-VEGF pathway are targeted by cinnamaldehyde, a compound found in cinnamon. Nuclear factor erythroid related factor 2 (Nrf2) is also examined and has been indicated to both potentially prevent cancer as well as induce it; various cinnamon derivatives target Nrf2. A cinnamaldehyde derivative has been implicated in a reduction of the mitogen-activated protein kinases (MAPKs), which are a group of kinases that regulate proliferation. Additionally, cinnamon components have been tied to cancer prevention by positively affecting the gut microbiome and inhibiting inflammation. The review concludes with a discussion of the future research needed and potential risk associated with cinnamon intake.

Unobtrusive Health Hazard

Oxidative stress is a biological mechanism triggered by an imbalance between the biosynthesis and accumulation of reactive oxygen species (ROS) in a biological system. Normally, ROS are produced as byproducts of oxygen metabolism and fulfill various physiological roles such as cell signaling. However, environmental stressors like UV radiation, ionizing radiation, pollutants, heavy metals, and xenobiotics can also lead to increased ROS production. Common types of ROS include superoxide radicals (O2−), hydrogen peroxide (H2O2), hydroxyl radicals (•OH), and singlet oxygen (1O2), which are generated during various metabolic pathways. Key cellular processes such as protein phosphorylation, activation of transcriptional factors, apoptosis, immunity, and differentiation depend on maintaining appropriate levels of ROS within cells. Under conditions of excessive ROS production, which can occur during both normal physiological processes and pathological conditions like inflammation, ischemia, and aging, ROS can damage important cellular components such as proteins, lipids, and nucleic acids. This production is primarily mitochondrial but can also result from enzymatic activities involved in the respiratory chain, prostaglandin synthesis, phagocytosis, and the cytochrome P450 system. Both immune system activation and environmental factors contribute to endogenous and exogenous free radical production. The signs of oxidative stress include fatigue, memory loss, muscle or joint pain, the appearance of wrinkles and grey hair, decreased eyesight, headaches, increased sensitivity to noise, and a heightened susceptibility to infections. To reduce oxidative stress, it is advised to avoid sugar and processed foods while balancing blood sugar levels, prevent infections, incorporate daily stress reduction practices, avoid toxins, and promote the production of antioxidants through diet and herbal supplements that are rich in antioxidants.

Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation.

Despite the success of antiretroviral therapy, human immunodeficiency virus (HIV) cannot be cured because of a reservoir of latently infected cells that evades therapy. To understand the mechanisms of HIV latency, we employed an integrated single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq) approach to simultaneously profile the transcriptomic and epigenomic characteristics of ∼ 125,000 latently infected primary CD4+ T cells after reactivation using three different latency reversing agents. Differentially expressed genes and differentially accessible motifs were used to examine transcriptional pathways and transcription factor (TF) activities across the cell population. We identified cellular transcripts and TFs whose expression/activity was correlated with viral reactivation and demonstrated that a machine learning model trained on these data was 75%-79% accurate at predicting viral reactivation. Finally, we validated the role of two candidate HIV-regulating factors, FOXP1 and GATA3, in viral transcription. These data demonstrate the power of integrated multimodal single-cell analysis to uncover novel relationships between host cell factors and HIV latency.

Scalable and unbiased sequence-informed embedding of single-cell ATAC-seq data with CellSpace

Standard scATAC sequencing (scATAC-seq) analysis pipelines represent cells as sparse numeric vectors relative to an atlas of peaks or genomic tiles and consequently ignore genomic sequence information at accessible loci. Here we present CellSpace, an efficient and scalable sequence-informed embedding algorithm for scATAC-seq that learns a mapping of DNA k-mers and cells to the same space, to address this limitation. We show that CellSpace captures meaningful latent structure in scATAC-seq datasets, including cell subpopulations and developmental hierarchies, and can score transcription factor activities in single cells based on proximity to binding motifs embedded in the same space. Importantly, CellSpace implicitly mitigates batch effects arising from multiple samples, donors or assays, even when individual datasets are processed relative to different peak atlases. Thus, CellSpace provides a powerful tool for integrating and interpreting large-scale scATAC-seq compendia.

Comparative transcriptomics analysis reveals defense mechanisms of Manihot esculenta Crantz against Sri Lanka Cassava MosaicVirus

BackgroundCassava mosaic disease (CMD), caused by Sri Lankan cassava mosaic virus (SLCMV) infection, has been identified as a major pernicious disease in Manihot esculenta Crantz (cassava) plantations. It is widespread in Southeast Asia, especially in Thailand, which is one of the main cassava supplier countries. With the aim of restricting the spread of SLCMV, we explored the gene expression of a tolerant cassava cultivar vs. a susceptible cassava cultivar from the perspective of transcriptional regulation and the mechanisms underlying plant immunity and adaptation.ResultsTranscriptomic analysis of SLCMV-infected tolerant (Kasetsart 50 [KU 50]) and susceptible (Rayong 11 [R 11]) cultivars at three infection stages—that is, at 21 days post-inoculation (dpi) (early/asymptomatic), 32 dpi (middle/recovery), and 67 dpi (late infection/late recovery)—identified 55,699 expressed genes. Differentially expressed genes (DEGs) between SLCMV-infected KU 50 and R 11 cultivars at (i) 21 dpi to 32 dpi (the early to middle stage), and (ii) 32 dpi to 67 dpi (the middle stage to late stage) were then identified and validated by real-time quantitative PCR (RT-qPCR). DEGs among different infection stages represent genes that respond to and regulate the viral infection during specific stages. The transcriptomic comparison between the tolerant and susceptible cultivars highlighted the role of gene expression regulation in tolerant and susceptible phenotypes.ConclusionsThis study identified genes involved in epigenetic modification, transcription and transcription factor activities, plant defense and oxidative stress response, gene expression, hormone- and metabolite-related pathways, and translation and translational initiation activities, particularly in KU 50 which represented the tolerant cultivar in this study.

Abstract 3064: Distinct Regulatory Programs Govern Smooth Muscle Cell Fate In Atherosclerosis

Introduction: During atherosclerosis, some vascular smooth muscle cells (SMCs) undergo phenotypic modulation, de-differentiating and adopting a fibroblast-like (FMC) or a chondrocyte/osteoblast-like phenotype (CMC). Although FMCs and CMCs appear to occur in succession in single-cell RNAseq data, they occupy distinct locations within the lesion and are associated with protective and deleterious plaque features, respectively. Hypothesis: Smooth muscle cell transitions to FMC and CMC occur via discrete transcriptional pathways during atherosclerosis. Methods: We performed single-cell RNA-sequencing (scRNAseq) and assay for transposase-accessible chromatin with sequencing (ATAC-seq) on lineage-traced vascular SMCs isolated from the aortic root of ApoE mice (n=3). Our analysis included pseudotime and RNA velocity analyses of the scRNAseq data, which independently identified a subgroup of Vcam+Cd74+ modulated SMCs as a potential cell state from which FMCs and CMCs appear to originate, each following distinct trajectories. We explored lineage-specific gene expression using the TradeSeq R package and conducted Ingenuity Pathway Analysis on differentially expressed genes to identify relevant upstream transcription factors, which were assayed for lineage-specific motif accessibility. Results: Our analysis showed profound changes in gene expression between the two trajectories as well as differential activation and chromatin accessibility of specific transcription factors at the point where FMCs diverge from CMCs. Within the CMC lineage, we noted heightened activation and chromatin accessibility of transcription factors associated with cellular stress and inflammatory responses, including Tp53, Foxo4, and Irf1. In stark contrast, these factors exhibited diminished activity within the FMC lineage during the same pseudotime interval. Furthermore, coronary artery disease GWAS transcription factors Twist1 and Tcf21 displayed differential motif accessibility over the FMC and CMC trajectories. Conclusions: Our study provides valuable insights into the regulatory mechanisms governing SMC phenotypic transitions in atherosclerosis, and further underscores the importance of GWAS genes in influencing these transitions.

Transcription factors as molecular switches regulating plant responses to drought stress.

Plants often experience abiotic stress, which severely affects their growth. With the advent of global warming, drought stress has become a pivotal factor affecting crop yield and quality. Increasing numbers of studies have focused on elucidating the molecular mechanisms underlying plant responses to drought stress. As molecular switches, transcription factors (TFs) are key participants in drought-resistance regulatory networks in crops. TFs regulate the transcription of downstream genes and are regulated by various upstream regulatory factors. Therefore, understanding the mechanisms of action of TFs in regulating drought stress can help enhance the adaptive capacity of crops under drought conditions. In this review, we summarize the structural characteristics of several common TFs, their multiple drought-response pathways, and recently employed research strategies. We describe the application of new technologies such as analysis of stress granule dynamics and function, multi-omics data, gene editing, and molecular crosstalk between TFs in drought resistance. This review aims to familiarize readers with the regulatory network of TFs in drought resistance and to provide a reference for examining the molecular mechanisms of drought resistance in plants and improving agronomic traits.