Artificial aging conditions for Artemisia argyi leaves based on quality-inflammation-quality marker transformation.

BACKGROUND: Appropriate conditions for storage of Artemisia argyi leaves reduce irritation during treatment and increase the active ingredient content. Naturally aged A. argyi leaves (≥1 year) are optimal for moxibustion; however, this process is time-consuming and costly. A comprehensive understanding of the conditions for artificial aging of A. argyi leaves and the mechanism of quality-marker conversion are required to guarantee A. argyi quality and moxibustion efficacy. OBJECTIVE: To identify the optimal conditions for artificial aging of A. argyi leaves and clarify the mechanism of quality-marker conversion. METHOD: Gas chromatography (GC), high-performance liquid chromatography (HPLC), colorimeter (CD), and near-infrared spectroscopy (NIRS) were used to determine the chemical composition of A. argyi leaves before and after artificial and natural (1 year) aging and to determine the optimal artificial aging conditions. The effects of both artificially and naturally aged A. argyi leaves were then evaluated in a mouse model of ulcerative colitis (UC). The main chemical components of aged A. argyi leaves were then analyzed to determine quality-markers and the transformation mechanism. RESULTS: Comprehensive analysis of volatile and non-volatile components, color values, and characteristic near-infrared spectra revealed that the quality of artificially aged A. argyi leaves was similar to that of naturally aged A. argyi leaves. In the mouse model, artificially and naturally aged A. argyi leaves not only improved the symptoms of UC with the same therapeutic effects, but also safeguarded the barrier of the colonic mucosa and prevented the release of colitis-related substances. In addition, the content of caffeic acid converted from L-phenylalanine in A. argyi leaves increased during the aging process. CONCLUSION: Conditions for artificial aging of A. argyi leaves were identified for the first time, and the equivalent efficacy of artificially aged A. argyi leaves and naturally aged A. argyi leaves for improving UC was confirmed. This method for artificial aging of A. argyi leaves not only reduces the time and cost associated with this process, but also provides technical support to ensure the quality and stability of artificially aged A. argyi leaves. In addition, caffeic acid was identified as a potential quality-marker for establishing standards and specifications for aging A. argyi leaves for the first time, and its possible transformation mechanism was preliminarily elucidated.

Dominant constraints on the evolution of rhythmic gene expression.

Although the individual transcriptional regulators of the core circadian clock are distinct among different organisms, the autoregulatory feedback loops they form are conserved. This unified design principle explains how daily physiological activities oscillate across species. However, it is unknown whether analogous design principles govern the gene expression output of circadian clocks. In this study, we performed a comparative analysis of rhythmic gene expression in eight diverse species and identified four common distribution patterns of cycling gene expression across these species. We hypothesized that the maintenance of reduced energetic costs constrains the evolution of rhythmic gene expression. Our large-scale computational simulations support this hypothesis by showing that selection against high-energy expenditure completely regenerates all cycling gene patterns. Moreover, we find that the peaks of rhythmic expression have been subjected to this type of selective pressure. The results suggest that selective pressure from circadian regulation efficiently removes unnecessary gene products from the transcriptome, thereby significantly impacting its evolutionary path.

Noncoding transcripts are linked to brain resting-state activity in non-human primates.

Brain-derived transcriptomes are known to correlate with resting-state brain activity in humans. Whether this association holds in nonhuman primates remains uncertain. Here, we search for such molecular correlates by integrating 757 transcriptomes derived from 100 macaque cortical regions with resting-state activity in separate conspecifics. We observe that 150 noncoding genes explain variations in resting-state activity at a comparable level with protein-coding genes. In-depth analysis of these noncoding genes reveals that they are connected to the function of nonneuronal cells such as oligodendrocytes. Co-expression network analysis finds that the modules of noncoding genes are linked to both autism and schizophrenia risk genes. Moreover, genes associated with resting-state noncoding genes are highly enriched in human resting-state functional genes and memory-effect genes, and their links with resting-state functional magnetic resonance imaging (fMRI) signals are altered in the brains of patients with autism. Our results highlight the potential for noncoding RNAs to explain resting-state activity in the nonhuman primate brain.

scBrainMap: a landscape for cell types and associated genetic markers in the brain.

The great variety of brain cell types is a fundamental element for neuronal circuits. One major goal of modern neuroscience is to decipher the various types of cellular composition and characterize their properties. Due to the high heterogeneity of neuronal cells, until recently, it was not possible to group brain cell types at high resolution. Thanks to the single-cell transcriptome technology, a dedicated database of brain cell types across species has been established. Here, we developed scBrainMap, a database for brain cell types and associated genetic markers for several species. The current scBrainMap database contains 4881 cell types with 26 044 genetic markers identified from 6 577 222 single cells, which link to 14 species, 124 brain regions and 20 different disease states. scBrainMap enables users to perform customized, cross-linked, biologically relevant queries for different cell types of interest. This quantitative information facilitates exploratory research on the role of cell types with regard to brain function in health and disease. Database URL https://scbrainmap.sysneuro.net/.

Cynomolgus-rhesus hybrid macaques serve as a platform for imprinting studies.

Genomic imprinting can lead to allele-specific expression (ASE), where one allele is preferentially expressed more than the other. Perturbations in genomic imprinting or ASE genes have been widely observed across various neurological disorders, notably autism spectrum disorder (ASD). In this study, we crossed rhesus cynomolgus monkeys to produce hybrid monkeys and established a framework to evaluate their allele-specific gene expression patterns using the parental genomes as a reference. Our proof-of-concept analysis of the hybrid monkeys identified 353 genes with allele-biased expression in the brain, enabling us to determine the chromosomal locations of ASE clusters. Importantly, we confirmed a significant enrichment of ASE genes associated with neuropsychiatric disorders, including ASD, highlighting the potential of hybrid monkey models in advancing our understanding of genomic imprinting.

MiR-122-5p regulates the mevalonate pathway by targeting p53 in non-small cell lung cancer.

The 5-year survival rate of non-small cell lung cancer (NSCLC) patients is very low. MicroRNAs (miRNAs) are involved in the occurrence of NSCLC. miR-122-5p interacts with wild-type p53 (wtp53), and wtp53 affects tumor growth by inhibiting the mevalonate (MVA) pathway. Therefore, this study aimed to evaluate the role of these factors in NSCLC. The role of miR-122-5p and p53 was established in samples from NSCLC patients, and human NSCLC cells A549 using the miR-122-5p inhibitor, miR-122-5p mimic, and si-p53. Our results showed that inhibiting miR-122-5p expression led to the activation of p53. This inhibited the progression of the MVA pathway in the NSCLC cells A549, hindered cell proliferation and migration, and promoted apoptosis. miR-122-5p was negatively correlated with p53 expression in p53 wild-type NSCLC patients. The expression of key genes in the MVA pathway in tumors of p53 wild-type NSCLC patients was not always higher than the corresponding normal tissues. The malignancy of NSCLC was positively correlated with the high expression of the key genes in the MVA pathway. Therefore, miR-122-5p regulated NSCLC by targeting p53, providing potential molecular targets for developing targeted drugs.

Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys.

Integrative analyses of transcriptomic and neuroimaging data have generated a wealth of information about biological pathways underlying regional variability in imaging-derived brain phenotypes in humans, but rarely in nonhuman primates due to the lack of a comprehensive anatomically-defined atlas of brain transcriptomics. Here we generate complementary bulk RNA-sequencing dataset of 819 samples from 110 brain regions and single-nucleus RNA-sequencing dataset, and neuroimaging data from 162 cynomolgus macaques, to examine the link between brain-wide gene expression and regional variation in morphometry. We not only observe global/regional expression profiles of macaque brain comparable to human but unravel a dorsolateral-ventromedial gradient of gene assemblies within the primate frontal lobe. Furthermore, we identify a set of 971 protein-coding and 34 non-coding genes consistently associated with cortical thickness, specially enriched for neurons and oligodendrocytes. These data provide a unique resource to investigate nonhuman primate models of human diseases and probe cross-species evolutionary mechanisms.

RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization.

Different RNAs have distinct subcellular localizations. However, nucleotide features that determine these distinct distributions of lncRNAs and mRNAs have yet to be fully addressed. Here, we develop RNAlight, a machine learning model based on LightGBM, to identify nucleotide k-mers contributing to the subcellular localizations of mRNAs and lncRNAs. With the Tree SHAP algorithm, RNAlight extracts nucleotide features for cytoplasmic or nuclear localization of RNAs, indicating the sequence basis for distinct RNA subcellular localizations. By assembling k-mers to sequence features and subsequently mapping to known RBP-associated motifs, different types of sequence features and their associated RBPs were additionally uncovered for lncRNAs and mRNAs with distinct subcellular localizations. Finally, we extended RNAlight to precisely predict the subcellular localizations of other types of RNAs, including snRNAs, snoRNAs and different circular RNA transcripts, suggesting the generality of using RNAlight for RNA subcellular localization prediction.

mvPPT: A Highly Efficient and Sensitive Pathogenicity Prediction Tool for Missense Variants.

Next-generation sequencing technologies both boost the discovery of variants in the human genome and exacerbate the challenges of pathogenic variant identification. In this study, we developed Pathogenicity Prediction Tool for missense variants (mvPPT), a highly sensitive and accurate missense variant classifier based on gradient boosting. mvPPT adopts high-confidence training sets with a wide spectrum of variant profiles, and extracts three categories of features, including scores from existing prediction tools, frequencies (allele frequencies, amino acid frequencies, and genotype frequencies), and genomic context. Compared with established predictors, mvPPT achieves superior performance in all test sets, regardless of data source. In addition, our study also provides guidance for training set and feature selection strategies, as well as reveals highly relevant features, which may further provide biological insights into variant pathogenicity. mvPPT is freely available at http://www.mvppt.club/.

Transcriptomic profiling of nuclei from paraformaldehyde-fixed and formalin-fixed paraffin-embedded brain tissues.

BACKGROUND: Paraformaldehyde (PFA) fixation is necessary for histochemical staining, and formalin-fixed and paraffin-embedded (FFPE) tissue archives are the largest repository of clinically annotated specimens. Single-cell gene expression workflows have recently been developed for PFA-fixed and FFPE tissue specimens. However, for tissues where intact cells are hard to recover, including tissues containing highly interconnected neurons, single-nuclear transcriptomics is beneficial. Moreover, since RNA is very unstable, the effects of standard pathological practice on the transcriptome of samples obtained from such archived specimens like FFPE samples are largely anecdotal. RESULTS: We evaluated the effects of polyformaldehyde (PFA) fixation and paraffin-embedding on transcriptional profiles of the mouse hippocampus obtained by RNA sequencing (RNA-seq). The transcriptomic signatures of nuclei isolated from fresh PFA-fixed and fresh FFPE tissues were comparable to those of cryopreserved samples. However, more differentially expressed genes were obtained for brains after PFA fixation for more than 3 days than in fresh PFA-fixed samples, especially genes involved in spliceosome and synaptic-related pathways. Importantly, the real cell states were destroyed, with oligodendrocyte precursor cells depleted in the 1day fixed hippocampus. After fixation for 3 days, the proportions of neuronal cells and oligodendrocytes decreased and microglia increased; however, relative frequencies remained constant for longer fixation durations. The storage time of FFPE samples had a negligible effect on the cell composition. SIGNIFICANCE: This represents the first work to investigate the effects of fixation and storage time of brains on its nuclear transcriptome signatures in detail. The fixation time had more influences on the nuclear transcriptomic profiles than FFPE retention time, and the cliff-like effects appeared to occur over a fixed period of 1-3 days. These findings are expected to guide sample preparation for single-nucleus RNA-seq of FFPE samples, particularly in transcriptomic studies focused on brain diseases.

Defining Specific Cell States of MPTP-Induced Parkinson's Disease by Single-Nucleus RNA Sequencing.

Parkinson's disease (PD) is a neurodegenerative disease with an impairment of movement execution that is related to age and genetic and environmental factors. 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is a neurotoxin widely used to induce PD models, but the effect of MPTP on the cells and genes of PD has not been fully elucidated. By single-nucleus RNA sequencing, we uncovered the PD-specific cells and revealed the changes in their cellular states, including astrocytosis and endothelial cells' absence, as well as a cluster of medium spiny neuron cells unique to PD. Furthermore, trajectory analysis of astrocyte and endothelial cell populations predicted candidate target gene sets that might be associated with PD. Notably, the detailed regulatory roles of astrocyte-specific transcription factors Dbx2 and Sox13 in PD were revealed in our work. Finally, we characterized the cell-cell communications of PD-specific cells and found that the overall communication strength was enhanced in PD compared with a matched control, especially the signaling pathways of NRXN and NEGR. Our work provides an overview of the changes in cellular states of the MPTP-induced mouse brain.

[Active ingredients and in vitro anti-inflammatory effects of Polygoni Cuspidati Rhizoma et Radix decoction pieces by integrated processing and traditional processing: a comparative analysis].

The present study explored the differences in active ingredients and in vitro anti-inflammatory effects of the decoction pieces by integrated processing(IPDP) and traditional processing(TPDP) of Polygoni Cuspidati Rhizoma et Radix(PCRER).The content of polydatin, resveratrol, emodin-8-O-ß-D-glucoside, emodin, and physcion in IPDP and TPDP was determined by high-performance liquid chromatography(HPLC).The inflammation model was induced by lipopolysaccharide(LPS) in RAW264.7 cells.The mRNA levels of inflammatory cytokines tumor necrosis factor-α(TNF-α), interleukin-6(IL-6), and interleukin-1ß(IL-1ß) in 60% ethanol extracts of IPDP and TPDP of different concentrations(5 and 10 µg·mL~(-1)) were determined by PCR.The results showed that the content of polydatin and emodin-8-O-ß-D-glucoside in IPDP was significantly higher than that in TPDP, while the content of resveratrol, emodin, and physcion was higher in TPDP.The anti-inflammatory results showed that ethanol extracts of IPDP of different concentrations(5 and 10 µg·mL~(-1)) significantly inhibited the increase in the mRNA levels of IL-1ß and TNF-α induced by LPS, whereas TPDP only had a significant inhibitory effect on IL-1ß.This study preliminarily showed that the total content of five active ingredients in IPDP was higher than that in TPDP, and IPDP was superior to TPDP in anti-inflammatory activity in vitro, which provided an experimental basis for the production and application of IPDP.

Gene networks under circadian control exhibit diurnal organization in primate organs.

Mammalian organs are individually controlled by autonomous circadian clocks. At the molecular level, this process is defined by the cyclical co-expression of both core transcription factors and their downstream targets across time. While interactions between these molecular clocks are necessary for proper homeostasis, these features remain undefined. Here, we utilize integrative analysis of a baboon diurnal transcriptome atlas to characterize the properties of gene networks under circadian control. We found that 53.4% (8120) of baboon genes are oscillating body-wide. Additionally, two basic network modes were observed at the systems level: daytime and nighttime mode. Daytime networks were enriched for genes involved in metabolism, while nighttime networks were enriched for genes associated with growth and cellular signaling. A substantial number of diseases only form significant disease modules at either daytime or nighttime. In addition, a majority of SARS-CoV-2-related genes and modules are rhythmically expressed, which have significant network proximities with circadian regulators. Our data suggest that synchronization amongst circadian gene networks is necessary for proper homeostatic functions and circadian regulators have close interactions with SARS-CoV-2 infection.

Radiosensitivity-Specific Proteomic and Signaling Pathway Network of Non-Small Cell Lung Cancer (NSCLC).

PURPOSE: An unmet clinical need in non-small cell lung cancer (NSCLC) management is the accurate prediction of radiation response in patients receiving radical radiation therapy. We explored the intrinsic radiosensitivity of NSCLC from the proteomic profiles of NSCLC cell lines and paraffin-embedded human samples. METHODS AND MATERIALS: To uncover radiosensitivity-specific proteomic and signaling pathways, we performed quantitative proteomics by data-independent acquisition mass spectrometry assay on 29 human NSCLC cell lines and 13 paraffin-embedded human NSCLC samples. We validated closely interacting radioresistant proteins by western blotting, immunofluorescence, real-time quantitative polymerase chain reaction in NSCLC cell lines, and immunohistochemistry in paraffin-embedded human samples. We validated the functions of 3 key hub proteins by lentivirus transfection, clonogenic survival assay, and flow cytometry. RESULTS: The proteomic profiling of NSCLC showed that the intrinsic radiosensitivity of NSCLC is mainly modulated by signaling pathways of proteoglycans in cancer, focal adhesion, and regulation of the actin cytoskeleton. We identified 71 differentially expressed proteins and validated 8 closely interacting proteins as radioresistant proteins of NSCLC. Moreover, we also validated the functionality of integrin-linked protein kinase, p21-activated kinase 1, and Ras GTPase-activating-like protein IQGAP1 in the radiation response of NSCLC cell lines. Finally, with the NSCLC radiosensitivity-specific proteins, we delineated the atlas network of NSCLC radiosensitivity-related signaling pathways. CONCLUSIONS: Radiosensitivity-specific proteins could guide individualized radiation therapy in clinical practice by predicting the radiation response of patients with NSCLC. Moreover, the NSCLC radiosensitivity-related signaling pathway atlas could guide further exploration of the underlying mechanism.

Coptis chinensis and dried ginger herb combination inhibits gastric tumor growth by interfering with glucose metabolism via LDHA and SLC2A1.

ETHNOPHARMACOLOGICAL RELEVANCE: Coptis chinensis Franch (CC) and Zingiber officinale Roscoe (dried ginger; DG) are traditional Chinese medicines. CC can dry dampness, relieve fire and detoxify, and is used to treat gastritis, gastric ulcer, colitis. DG can warm spleen and stomach for dispelling cold, used for the treatment of spleen and stomach deficiency. Both CC and DG are widely used to treat gastrointestinal diseases. CC-DG herb medicine combination originates from Huanglian decoction and Pinellia xiexin decoction in "Shanghan Lun" to comfort the stomach and intestines. CC and DG are used for the treatment of nausea and choking diaphragm which highly associated with gastric cancer clinically in ancient time. AIM OF THE STUDY: This study aimed to investigate the effects and underlying molecular mechanisms of CC-DG combination on gastric cancer. MATERIALS AND METHODS: The CC-DG extract was subjected to HPLC analysis. Viability (MTT) and cytotoxicity (CCK8) assays were performed using the SGC7901 and MFC cells. Cell cycle and apoptosis were measured by flow cytometry. The mRNA expression levels were measured by RT-PCR. In vivo anti-tumor activity of CC-DG was assessed in a tumor xenograft model. RESULTS: Twelve different proportions of CC-DG were tested for inhibitory effects on gastric cancer cells; CC-DG ratio 1:1 was found most effective. CC-DG administration significantly reduced the cell proliferation, migration, and colony formation, while increased cell apoptosis compared with the control group. CC-DG regulated differentially expressed genes in SGC7901 cells were subjected to pathway enrichment analysis. CC-DG significantly inhibited the cell glucose metabolism, downregulated the expression of LDHA and SLC2A1 genes, and changed the expression of other related genes including ME2, LDHD, LDHB, HIF1A, PKM, Pcx, and Got1. In addition, CC-DG suppressed tumorigenesis and inhibited MKI67 expression in the tumor xenograft model. CONCLUSIONS: CC-DG inhibited the proliferation, migration, invasion of SGC7901/MFC gastric cells, and in turn, suppressed tumorigenesis by regulating glucose metabolism through regulation of LDHA and SLC2A1 genes.

Rapid Body-Wide Transcriptomic Turnover During Rhesus Macaque Perinatal Development.

An hourglass cup-shape pattern of regulation at the molecular level was detected during the development of the primate brain. Specifically, a peak of temporally differentially expressed genes around the time of birth has been observed in the human brain. However, to what extend this peak of regulation exists among species has not been investigated in great detail. Here, by integrating multiple large-scale transcriptome data from rhesus macaques, we confirmed that a similar differential expression peak exists during the development of the macaque brain. We also found that a similar peak exists during the development of other organs, such as liver, testis, kidney and heart. Furthermore, we found that distinct pathways are regulated in the peak period of those organs. Our results highlight the importance of co-evolution of diverse organs during critical periods of perinatal development in primates.

Genome-wide circadian regulation: A unique system for computational biology.

Circadian rhythms are 24-hour oscillations affecting an organism at multiple levels from gene expression all the way to tissues and organs. They have been observed in organisms across the kingdom of life, spanning from cyanobacteria to humans. In mammals, the master circadian pacemaker is located in the hypothalamic suprachiasmatic nuclei (SCN) in the brain where it synchronizes the peripheral oscillators that exist in other tissues. This system regulates the circadian activity of a large part of the transcriptome and recent findings indicate that almost every cell in the body has this clock at the molecular level. In this review, we briefly summarize the different factors that can influence the circadian transcriptome, including light, temperature, and food intake. We then summarize recently identified general principles governing genome-scale circadian regulation, as well as future lines of research. Genome-scale circadian activity represents a fascinating study model for computational biology. For this purpose, systems biology methods are promising exploratory tools to decode the global regulatory principles of circadian regulation.

Epigenetic inheritance of circadian period in clonal cells.

Circadian oscillations are generated via transcriptional-translational negative feedback loops. However, individual cells from fibroblast cell lines have heterogeneous rhythms, oscillating independently and with different period lengths. Here we showed that heterogeneity in circadian period is heritable and used a multi-omics approach to investigate underlying mechanisms. By examining large-scale phenotype-associated gene expression profiles in hundreds of mouse clonal cell lines, we identified and validated multiple novel candidate genes involved in circadian period determination in the absence of significant genomic variants. We also discovered differentially co-expressed gene networks that were functionally associated with period length. We further demonstrated that global differential DNA methylation bidirectionally regulated these same gene networks. Interestingly, we found that depletion of DNMT1 and DNMT3A had opposite effects on circadian period, suggesting non-redundant roles in circadian gene regulation. Together, our findings identify novel gene candidates involved in periodicity, and reveal DNA methylation as an important regulator of circadian periodicity.