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Higher-order chromosomal organization for transcription regulation is poorly understood in eukaryotes. Using genome-wide Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET), we mapped long-range chromatin interactions associated with RNA polymerase II in human cells and uncovered widespread promoter-centered intragenic, extragenic, and intergenic interactions. These interactions further aggregated into higher-order clusters, wherein proximal and distal genes were engaged through promoter-promoter interactions. Most genes with promoter-promoter interactions were active and transcribed cooperatively, and some interacting promoters could influence each other implying combinatorial complexity of transcriptional controls. Comparative analyses of different cell lines showed that cell-specific chromatin interactions could provide structural frameworks for cell-specific transcription, and suggested significant enrichment of enhancer-promoter interactions for cell-specific functions. Furthermore, genetically-identified disease-associated noncoding elements were found to be spatially engaged with corresponding genes through long-range interactions. Overall, our study provides insights into transcription regulation by three-dimensional chromatin interactions for both housekeeping and cell-specific genes in human cells.
Assuntos
Cromatina/metabolismo , Regulação da Expressão Gênica , Regiões Promotoras Genéticas , RNA Polimerase II/metabolismo , Transcrição Gênica , Linhagem Celular Tumoral , Imunoprecipitação da Cromatina , Elementos Facilitadores Genéticos , Estudo de Associação Genômica Ampla , HumanosRESUMO
Purpose: Excessive inflammatory response is one of the possible pathogenic mechanisms of preeclampsia (PE). It remains unclear whether sevoflurane has an anti-inflammatory effect in human trophoblastic cells, which are corresponding to the dysfunction of placentas in PE. This study probed into the regulatory function of sevoflurane toward HTR8/SVneo cells so as to find PE pathology and PE treatment.Materials and methods: HTR8/SVneo cells were treated with sevoflurane, TNF-α with different concentrations, sevoflurane plus 10 ng/mL TNF-α and SB203580 plus 10 ng/mL TNF-α. Cell counting kit-8 (CCK-8) assays were performed to detect cell viability, while enzyme linked immunoSorbent assay (ELISA) was used to measure IL-6, IL-8, GM-CSF and MCP-1 levels in HTR8/SVneo cells. Besides, relative mRNA expression levels of IL-6 and IL-8 were tested via quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR), and p38 phosphorylation-related protein expressions were assessed through western blot.Results: Cell viability remained stable when HTR8/SVneo cells were treated with or without sevoflurane and SB203580 in inflammatory microenvironment created by TNF-α. MCP-1 and GM-CSF levels, as well as gene expressions of IL-6 and IL-8 in HTR8/SVneo cells were greatly increased by TNF-α (5, 10 and 20 ng/mL), but reversed by sevoflurane and SB203580. Simultaneously, TNF-α-induced phosphorylation of p38MAPK signaling pathway was inhibited by sevoflurane and SB203580.Conclusions: Sevoflurane inhibited inflammatory response induced by TNF-α in human trophoblastic cells HTR8/SVneo through suppressing the phosphorylation of p38MAPK signaling pathway.
Assuntos
Inflamação/patologia , Sistema de Sinalização das MAP Quinases , Sevoflurano/farmacologia , Trofoblastos/enzimologia , Trofoblastos/patologia , Fator de Necrose Tumoral alfa/efeitos adversos , Proteínas Quinases p38 Ativadas por Mitógeno/metabolismo , Linhagem Celular , Sobrevivência Celular/efeitos dos fármacos , Humanos , Imidazóis/farmacologia , Interleucina-6/genética , Interleucina-6/metabolismo , Interleucina-8/genética , Interleucina-8/metabolismo , Sistema de Sinalização das MAP Quinases/efeitos dos fármacos , Fosforilação/efeitos dos fármacos , Piridinas/farmacologia , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Trofoblastos/efeitos dos fármacosRESUMO
BACKGROUND: Viral populations are complex, dynamic, and fast evolving. The evolution of groups of closely related viruses in a competitive environment is termed quasispecies. To fully understand the role that quasispecies play in viral evolution, characterizing the trajectories of viral genotypes in an evolving population is the key. In particular, long-range haplotype information for thousands of individual viruses is critical; yet generating this information is non-trivial. Popular deep sequencing methods generate relatively short reads that do not preserve linkage information, while third generation sequencing methods have higher error rates that make detection of low frequency mutations a bioinformatics challenge. Here we applied BAsE-Seq, an Illumina-based single-virion sequencing technology, to eight samples from four chronic hepatitis B (CHB) patients - once before antiviral treatment and once after viral rebound due to resistance. RESULTS: With single-virion sequencing, we obtained 248-8796 single-virion sequences per sample, which allowed us to find evidence for both hard and soft selective sweeps. We were able to reconstruct population demographic history that was independently verified by clinically collected data. We further verified four of the samples independently through PacBio SMRT and Illumina Pooled deep sequencing. CONCLUSIONS: Overall, we showed that single-virion sequencing yields insight into viral evolution and population dynamics in an efficient and high throughput manner. We believe that single-virion sequencing is widely applicable to the study of viral evolution in the context of drug resistance and host adaptation, allows differentiation between soft or hard selective sweeps, and may be useful in the reconstruction of intra-host viral population demographic history.
Assuntos
Evolução Molecular , Genoma Viral , Vírus da Hepatite B/efeitos dos fármacos , Vírus da Hepatite B/genética , Hepatite B/virologia , Lamivudina/farmacologia , Vírion/genética , Alelos , Substituição de Aminoácidos , Biologia Computacional/métodos , Código de Barras de DNA Taxonômico , Farmacorresistência Viral/efeitos dos fármacos , Frequência do Gene , Hepatite B/tratamento farmacológico , Vírus da Hepatite B/isolamento & purificação , Humanos , Lamivudina/uso terapêutico , MutaçãoRESUMO
High throughput screening of small molecular weight (LMW) ligands for protein and sensitive determination of ligand-induced protein stabilization is an important task in drug discovery and in protein structural and functional genomics studies. In this study, gold nanoparticles (AuNPs) and their aggregation property are used to develop a rapid and less equipment intensive assay for screening the interactions between LMW ligands and transcription factors (TFs) and human serum albumin. The assay is based on the fact that the aggregation/discpersion status of AuNPs is very sensitive to the conformation of surrounding proteins, and when a LMW ligand binds to the proteins, it can enhance proteins' salt and thermal stability, and therefore the protective effect on AuNPs from aggregation. Two TFs, i.e. FoxA1 (Forkhead box A1) and AP-2γ (activating enhancer binding protein 2 gamma), and 14 compounds from an NCI compounds library and human serum albumin (HSA) and three known ligands (ibuprofen, warfarin, and phenytoin) are involved to demonstrate the concept and to prove its generality and robustness. With this AuNP method, two strong LMW binders are identified for FoxA1 and AP-2γ; ligand induced protein stabilization is determined. The results have been verified using surface plasmon resonance spectroscopy (SPR) and differential static light scattering (DSLS) techniques. Tryptophan fluorescent measurement is also conducted to provide further information on protein conformational change upon LMW ligand loading as can be observed from AuNPs' UV-vis spectra. FoxA1 and AP-2γ are pivotal in regulating the transcriptional activity of estrogen receptor alpha and controlling the expression of estrogen-responsive breast cancer cells. Identification of drug candidates targeting these two transcription factors could be an alternative in treating breast cancer, in particular those that have become endocrine resistance.
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Ouro/química , Nanopartículas Metálicas , Proteínas/química , Floculação , Ligantes , Espectrometria de Fluorescência , Ressonância de Plasmônio de SuperfícieRESUMO
Forkhead box protein 1 (FoxA1) is a member of the forkhead family of winged helix transcription factors that plays pivotal roles in the development and differentiation of multiple organs and in the regulation of estrogen-stimulated genes. Conventional analytical methods-electrophoretic mobility shift assay (EMSA) and fluorescence anisotropy (FA)-as well as a gold nanoparticles (AuNPs)-based assay were used to study DNA binding properties of FoxA1 and ligand interruption of FoxA1-DNA binding. In the AuNPs assay, the distinct ability of protein-DNA complex to protect AuNPs against salt-induced aggregation was exploited to screen sequence selectivity and determine the binding affinity constant based on AuNPs color change and absorbance spectrum shift. Both conventional EMSA and FA and the AuNPs assay suggested that FoxA1 binds to DNA in a core sequence-dependent manner and the flanking sequence also played a role to influence the affinity. The EMSA and AuNPs were found to be more sensitive than FA in differentiation of sequence-dependent affinity. With the addition of a spin filtration step, AuNPs assay has been extended for studying small molecular ligand inhibition of FoxA1-DNA interactions enabling drug screening. The results correlate very well with those obtained using FA.
Assuntos
Sondas de DNA/metabolismo , Ensaio de Desvio de Mobilidade Eletroforética , Polarização de Fluorescência , Ouro/química , Fator 3-alfa Nuclear de Hepatócito/metabolismo , Nanopartículas Metálicas/química , Sequência de Bases , Sondas de DNA/química , Fator 3-alfa Nuclear de Hepatócito/antagonistas & inibidores , Fator 3-alfa Nuclear de Hepatócito/genética , Humanos , Ligantes , Proteínas Ligantes de Maltose/genética , Proteínas Ligantes de Maltose/metabolismo , Ligação Proteica , Proteínas Recombinantes de Fusão/biossíntese , Proteínas Recombinantes de Fusão/química , Proteínas Recombinantes de Fusão/genética , Bibliotecas de Moléculas Pequenas/química , Bibliotecas de Moléculas Pequenas/metabolismoRESUMO
BACKGROUND: Gestational Diabetes Mellitus (GDM) poses significant risks to maternal and fetal health, yet its precise etiology remains unclear. Observational studies have demonstrated a link between specific inflammatory cytokines and the occurrence of GDM, but the causal relationships remain uncertain. METHODS: Utilizing publicly accessible genetic data, we performed a bidirectional two-sample mendelian randomization (MR) analysis to elucidate the causal association between 91 inflammatory cytokines and GDM. Sensitivity analysis was carried out to evaluate the robustness, heterogeneity, and potential presence of horizontal pleiotropy within the results. RESULTS: Elevated levels of Interleukin-7 (IL7) and Neurturin (NRTN) (OR=1.104, 95 % CI=1.003-1.216, p = 0.042; OR=1.102, 95 % CI=1.023-1.187, p = 0.010), along with decreased levels of Glial cell line-derived neurotrophic factor (GDNF), Interleukin-12 subunit beta (IL12ß), and Interleukin-20 (IL20) (OR=0.911, 95 % CI=0.849-0.979, p = 0.010;OR=0.955, 95 % CI=0.916-0.996, p = 0.033; OR=0.892, 95 % CI=0.819-0.971, p = 0.008), are associated with increased GDM risk. Additionally, GDM occurrence correlates with increased Matrix metalloproteinase-10 (MMP-10) and decreased Interleukin-20 receptor subunit alpha (IL-20Rα) levels (OR=1.042, 95 % CI=1.002-1.084, p = 0.038; OR=0.949, 95 % CI=0.909-0.992, p = 0.021). Sensitivity analyses detected no significant heterogeneity or pleiotropy. CONCLUSION: This study has clarified the causal link between inflammatory cytokines and GDM, thereby enhancing our comprehension of the potential mechanisms involved in GDM pathogenesis. These findings offer new insights into the etiology, diagnosis, and therapeutic strategies for GDM.
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Studies have shown that narcotic drugs may affect the function of placental trophoblast cells. The aim of this study was to investigate the effect of sevoflurane on apoptosis and proinflammatory cytokines in isolated placental trophoblast cells. The primary placental trophoblast cells were obtained from a total of 20 parturients, which were randomly divided into 4 groups and treated with 3% sevoflurane for 0 minutes (S0), 15 minutes (S15), 30 minutes (S30) and 60 minutes (S60). The expressions of CK7 and vimentin were detected by immunofluorescence. The apoptosis of trophoblast cells was tested by TUNEL assay. The concentrations and protein expressions of TNF-α and IL-6 were determined by ELISA and Western-blot. The apoptosis number and apoptosis rate of placental trophoblast cells in S60 and S30 groups were higher than that in S15 and S0 groups (P<0.05). The concentrations of TNF-α and IL-6 in cell culture medium of S60 and S30 groups were elevated as compared to S15 and S0 groups (P<0.05). Compared with S15 and S0 groups, the protein expressions of TNF-α and IL-6 in placental trophoblast cells of S60 and S30 groups also showed an significant increase (P<0.05). Moreover, the expressions of TNF-α and IL-6 were positively correlated with the apoptosis of cytotrophoblast cells. Using for a long time of sevoflurane induces the apoptosis of placental trophoblast cells and increases the expressions of pro-inflammatory factors, suggesting that the duration of sevoflurane anesthesia should be controlled within 15 minutes.
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We present a method for obtaining long haplotypes, of over 3 kb in length, using a short-read sequencer, Barcode-directed Assembly for Extra-long Sequences (BAsE-Seq). BAsE-Seq relies on transposing a template-specific barcode onto random segments of the template molecule and assembling the barcoded short reads into complete haplotypes. We applied BAsE-Seq on mixed clones of hepatitis B virus and accurately identified haplotypes occurring at frequencies greater than or equal to 0.4%, with >99.9% specificity. Applying BAsE-Seq to a clinical sample, we obtained over 9,000 viral haplotypes, which provided an unprecedented view of hepatitis B virus population structure during chronic infection. BAsE-Seq is readily applicable for monitoring quasispecies evolution in viral diseases.