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1.
Nat Commun ; 11(1): 4364, 2020 08 31.
Artigo em Inglês | MEDLINE | ID: mdl-32868781

RESUMO

Pathophysiological roles of cardiac dopamine system remain unknown. Here, we show the role of dopamine D1 receptor (D1R)-expressing cardiomyocytes (CMs) in triggering heart failure-associated ventricular arrhythmia. Comprehensive single-cell resolution analysis identifies the presence of D1R-expressing CMs in both heart failure model mice and in heart failure patients with sustained ventricular tachycardia. Overexpression of D1R in CMs disturbs normal calcium handling while CM-specific deletion of D1R ameliorates heart failure-associated ventricular arrhythmia. Thus, cardiac D1R has the potential to become a therapeutic target for preventing heart failure-associated ventricular arrhythmia.


Assuntos
Arritmias Cardíacas/etiologia , Insuficiência Cardíaca , Miócitos Cardíacos/metabolismo , Receptores de Dopamina D1/metabolismo , Animais , Arritmias Cardíacas/prevenção & controle , Perfilação da Expressão Gênica/métodos , Humanos , Camundongos , Camundongos Transgênicos , Ratos , Receptores de Dopamina D1/genética , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Taquicardia Ventricular/etiologia , Taquicardia Ventricular/prevenção & controle
2.
Front Immunol ; 11: 2145, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32983174

RESUMO

SARS-CoV-2 infection has recently been declared a pandemic. Some patients showing severe symptoms exhibit drastic inflammation and airway damage. In this study, we re-analyzed published scRNA-seq data of COVID-19 patient bronchoalveolar lavage fluid to further classify and compare immunological features according to the patient's disease severity. Patients with severe symptoms showed DNA damage and apoptotic features of epithelial cells. Our results suggested that epithelial damage was associated with neutrophil infiltration. Myeloid cells of severe patients showed higher expression of proinflammatory cytokines and chemokines such as CXCL8. As a result, neutrophils were abundant in lungs of patients from the severe group. Furthermore, recruited neutrophils highly expressed genes related to neutrophil extracellular traps. Neutrophil-mediated inflammation was regulated by glucocorticoid receptor expression and activity. Based on these results, we suggest that severe COVID-19 symptoms may be determined by differential expression of glucocorticoid receptors and neutrophils.


Assuntos
Betacoronavirus/imunologia , Infecções por Coronavirus/imunologia , Interleucina-8/genética , Neutrófilos/imunologia , Pneumonia Viral/imunologia , Receptores de Glucocorticoides/genética , Índice de Gravidade de Doença , Transcriptoma , Adulto , Idoso , Líquido da Lavagem Broncoalveolar/imunologia , Infecções por Coronavirus/virologia , Células Epiteliais/patologia , Armadilhas Extracelulares/imunologia , Feminino , Perfilação da Expressão Gênica/métodos , Humanos , Inflamação/imunologia , Interleucina-8/metabolismo , Masculino , Pessoa de Meia-Idade , Células Mieloides/imunologia , Infiltração de Neutrófilos/imunologia , Pandemias , Pneumonia Viral/virologia , RNA-Seq , Receptores de Glucocorticoides/metabolismo , Análise de Célula Única/métodos
3.
PLoS Comput Biol ; 16(9): e1008205, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32903255

RESUMO

Single-cell RNA sequencing (scRNA-seq) can map cell types, states and transitions during dynamic biological processes such as tissue development and regeneration. Many trajectory inference methods have been developed to order cells by their progression through a dynamic process. However, when time series data is available, most of these methods do not consider the available time information when ordering cells and are instead designed to work only on a single scRNA-seq data snapshot. We present Tempora, a novel cell trajectory inference method that orders cells using time information from time-series scRNA-seq data. In performance comparison tests, Tempora inferred known developmental lineages from three diverse tissue development time series data sets, beating state of the art methods in accuracy and speed. Tempora works at the level of cell clusters (types) and uses biological pathway information to help identify cell type relationships. This approach increases gene expression signal from single cells, processing speed, and interpretability of the inferred trajectory. Our results demonstrate the utility of a combination of time and pathway information to supervise trajectory inference for scRNA-seq based analysis.


Assuntos
Biologia Computacional/métodos , Perfilação da Expressão Gênica/métodos , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Software , Algoritmos , Animais , Células Cultivadas , Humanos , Camundongos , Mioblastos/metabolismo , RNA/genética , RNA/metabolismo , Reprodutibilidade dos Testes
4.
Pediatrics ; 146(4)2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32934151

RESUMO

OBJECTIVES: Although the airway microbiota is a highly dynamic ecology, the role of longitudinal changes in airway microbiota during early childhood in asthma development is unclear. We aimed to investigate the association of longitudinal changes in early nasal microbiota with the risk of developing asthma. METHODS: In this prospective, population-based birth cohort study, we followed children from birth to age 7 years. The nasal microbiota was tested by using 16S ribosomal RNA gene sequencing at ages 2, 13, and 24 months. We applied an unsupervised machine learning approach to identify longitudinal nasal microbiota profiles during age 2 to 13 months (the primary exposure) and during age 2 to 24 months (the secondary exposure) and examined the association of these profiles with the risk of physician-diagnosed asthma at age 7 years. RESULTS: Of the analytic cohort of 704 children, 57 (8%) later developed asthma. We identified 4 distinct longitudinal nasal microbiota profiles during age 2 to 13 months. In the multivariable analysis, compared with the persistent Moraxella dominance profile during age 2 to 13 months, the persistent Moraxella sparsity profile was associated with a significantly higher risk of asthma (adjusted odds ratio, 2.74; 95% confidence interval, 1.20-6.27). Similar associations were observed between the longitudinal changes in nasal microbiota during age 2 to 24 months and risk of asthma. CONCLUSIONS: Children with an altered longitudinal pattern in the nasal microbiota during early childhood had a high risk of developing asthma. Our data guide the development of primary prevention strategies (eg, early identification of children at high risk and modification of microbiota) for childhood asthma. These observations present a new avenue for risk modification for asthma (eg, microbiota modification).


Assuntos
Asma/etiologia , Microbiota , Nariz/microbiologia , Aerococcaceae/isolamento & purificação , Fatores Etários , Asma/diagnóstico , Asma/microbiologia , Criança , Pré-Escolar , Feminino , Finlândia , Seguimentos , Perfilação da Expressão Gênica/métodos , Haemophilus/isolamento & purificação , Humanos , Incidência , Lactente , Recém-Nascido , Aprendizado de Máquina , Masculino , Microbiota/genética , Moraxella/isolamento & purificação , Análise Multivariada , Estudos Prospectivos , RNA Ribossômico 16S/genética , Infecções Respiratórias/complicações , Infecções Respiratórias/epidemiologia , Infecções Respiratórias/microbiologia , Risco , Streptococcus/isolamento & purificação
5.
Nat Commun ; 11(1): 4809, 2020 09 23.
Artigo em Inglês | MEDLINE | ID: mdl-32968055

RESUMO

Kinase inhibitors (KIs) represent an important class of anti-cancer drugs. Although cardiotoxicity is a serious adverse event associated with several KIs, the reasons remain poorly understood, and its prediction remains challenging. We obtain transcriptional profiles of human heart-derived primary cardiomyocyte like cell lines treated with a panel of 26 FDA-approved KIs and classify their effects on subcellular pathways and processes. Individual cardiotoxicity patient reports for these KIs, obtained from the FDA Adverse Event Reporting System, are used to compute relative risk scores. These are then combined with the cell line-derived transcriptomic datasets through elastic net regression analysis to identify a gene signature that can predict risk of cardiotoxicity. We also identify relationships between cardiotoxicity risk and structural/binding profiles of individual KIs. We conclude that acute transcriptomic changes in cell-based assays combined with drug substructures are predictive of KI-induced cardiotoxicity risk, and that they can be informative for future drug discovery.


Assuntos
Cardiotoxicidade/genética , Cardiotoxicidade/metabolismo , Perfilação da Expressão Gênica/métodos , Inibidores de Proteínas Quinases/efeitos adversos , Inibidores de Proteínas Quinases/farmacologia , Transcriptoma , Antineoplásicos/farmacologia , Cardiotoxicidade/tratamento farmacológico , Linhagem Celular , Relação Dose-Resposta a Droga , Aprovação de Drogas , Feminino , Expressão Gênica/efeitos dos fármacos , Humanos , Masculino , Miócitos Cardíacos/efeitos dos fármacos , Análise de Regressão , Medição de Risco , Fatores de Risco , Alinhamento de Sequência , Estados Unidos , United States Food and Drug Administration
6.
Nat Commun ; 11(1): 4803, 2020 09 23.
Artigo em Inglês | MEDLINE | ID: mdl-32968068

RESUMO

Meningiomas are the most common primary intracranial tumors, but the molecular drivers of meningioma tumorigenesis are poorly understood. We hypothesized that investigating intratumor heterogeneity in meningiomas would elucidate biologic drivers and reveal new targets for molecular therapy. To test this hypothesis, here we perform multiplatform molecular profiling of 86 spatially-distinct samples from 13 human meningiomas. Our data reveal that regional alterations in chromosome structure underlie clonal transcriptomic, epigenomic, and histopathologic signatures in meningioma. Stereotactic co-registration of sample coordinates to preoperative magnetic resonance images further suggest that high apparent diffusion coefficient (ADC) distinguishes meningioma regions with proliferating cells enriched for developmental gene expression programs. To understand the function of these genes in meningioma, we develop a human cerebral organoid model of meningioma and validate the high ADC marker genes CDH2 and PTPRZ1 as potential targets for meningioma therapy using live imaging, single cell RNA sequencing, CRISPR interference, and pharmacology.


Assuntos
Neoplasias Encefálicas/genética , Neoplasias Encefálicas/metabolismo , Perfilação da Expressão Gênica/métodos , Heterogeneidade Genética , Imagem por Ressonância Magnética/métodos , Neoplasias Meníngeas/genética , Neoplasias Meníngeas/metabolismo , Idoso , Antígenos CD/genética , Neoplasias Encefálicas/diagnóstico por imagem , Neoplasias Encefálicas/patologia , Caderinas/genética , Imagem de Difusão por Ressonância Magnética/métodos , Epigenômica , Feminino , Marcadores Genéticos , Genômica , Humanos , Neoplasias Meníngeas/diagnóstico por imagem , Neoplasias Meníngeas/patologia , Proteínas Tirosina Fosfatases Classe 5 Semelhantes a Receptores/genética , Transcriptoma
7.
PLoS One ; 15(8): e0238380, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32866185

RESUMO

Pancreatic adenocarcinoma is characterized by a complex tumor environment with a wide diversity of infiltrating stromal and immune cell types that impact the tumor response to conventional treatments. However, even in this poorly responsive tumor the extent of T cell infiltration as determined by quantitative immunohistology is a candidate prognostic factor for patient outcome. As such, even more comprehensive immunophenotyping of the tumor environment, such as immune cell type deconvolution via inference models based on gene expression profiling, holds significant promise. We hypothesized that RNA-Seq can provide a comprehensive alternative to quantitative immunohistology for immunophenotyping pancreatic cancer. We performed RNA-Seq on a prospective cohort of pancreatic tumor specimens and compared multiple approaches for gene expression-based immunophenotyping analysis compared to quantitative immunohistology. Our analyses demonstrated that while gene expression analyses provide additional information on the complexity of the tumor immune environment, they are limited in sensitivity by the low overall immune infiltrate in pancreatic cancer. As an alternative approach, we identified a set of genes that were enriched in highly T cell infiltrated pancreatic tumors, and demonstrate that these can identify patients with improved outcome in a reference population. These data demonstrate that the poor immune infiltrate in pancreatic cancer can present problems for analyses that use gene expression-based tools; however, there remains enormous potential in using these approaches to understand the relationships between diverse patterns of infiltrating cells and their impact on patient treatment outcomes.


Assuntos
Linfócitos do Interstício Tumoral/imunologia , Neoplasias Pancreáticas/genética , Neoplasias Pancreáticas/imunologia , Adenocarcinoma/genética , Adenocarcinoma/imunologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Perfilação da Expressão Gênica/métodos , Regulação Neoplásica da Expressão Gênica/genética , Regulação Neoplásica da Expressão Gênica/imunologia , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Linfócitos T/imunologia , Microambiente Tumoral/genética , Microambiente Tumoral/imunologia
8.
Nat Commun ; 11(1): 4861, 2020 09 25.
Artigo em Inglês | MEDLINE | ID: mdl-32978398

RESUMO

Advanced tumours are often heterogeneous, consisting of subclones with various genetic alterations and functional roles. The precise molecular features that characterize the contributions of multiscale intratumour heterogeneity to malignant progression, metastasis, and poor survival are largely unknown. Here, we address these challenges in breast cancer by defining the landscape of heterogeneous tumour subclones and their biological functions using radiogenomic signatures. Molecular heterogeneity is identified by a fully unsupervised deconvolution of gene expression data. Relative prevalence of two subclones associated with cell cycle and primary immunodeficiency pathways identifies patients with significantly different survival outcomes. Radiogenomic signatures of imaging scale heterogeneity are extracted and used to classify patients into groups with distinct subclone compositions. Prognostic value is confirmed by survival analysis accounting for clinical variables. These findings provide insight into how a radiogenomic analysis can identify the biological activities of specific subclones that predict prognosis in a noninvasive and clinically relevant manner.


Assuntos
Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/genética , Perfilação da Expressão Gênica/métodos , Heterogeneidade Genética , Biomarcadores Tumorais/genética , Mama , Ciclo Celular/genética , Feminino , Regulação Neoplásica da Expressão Gênica , Genômica , Humanos , Imageamento Tridimensional/métodos , Análise Multivariada , Prognóstico , Análise de Sobrevida , Transcriptoma
9.
Front Immunol ; 11: 2145, 2020.
Artigo em Inglês | MEDLINE | ID: covidwho-776206

RESUMO

SARS-CoV-2 infection has recently been declared a pandemic. Some patients showing severe symptoms exhibit drastic inflammation and airway damage. In this study, we re-analyzed published scRNA-seq data of COVID-19 patient bronchoalveolar lavage fluid to further classify and compare immunological features according to the patient's disease severity. Patients with severe symptoms showed DNA damage and apoptotic features of epithelial cells. Our results suggested that epithelial damage was associated with neutrophil infiltration. Myeloid cells of severe patients showed higher expression of proinflammatory cytokines and chemokines such as CXCL8. As a result, neutrophils were abundant in lungs of patients from the severe group. Furthermore, recruited neutrophils highly expressed genes related to neutrophil extracellular traps. Neutrophil-mediated inflammation was regulated by glucocorticoid receptor expression and activity. Based on these results, we suggest that severe COVID-19 symptoms may be determined by differential expression of glucocorticoid receptors and neutrophils.


Assuntos
Betacoronavirus/imunologia , Infecções por Coronavirus/imunologia , Interleucina-8/genética , Neutrófilos/imunologia , Pneumonia Viral/imunologia , Receptores de Glucocorticoides/genética , Índice de Gravidade de Doença , Transcriptoma , Adulto , Idoso , Líquido da Lavagem Broncoalveolar/imunologia , Infecções por Coronavirus/virologia , Células Epiteliais/patologia , Armadilhas Extracelulares/imunologia , Feminino , Perfilação da Expressão Gênica/métodos , Humanos , Inflamação/imunologia , Interleucina-8/metabolismo , Masculino , Pessoa de Meia-Idade , Células Mieloides/imunologia , Infiltração de Neutrófilos/imunologia , Pandemias , Pneumonia Viral/virologia , RNA-Seq , Receptores de Glucocorticoides/metabolismo , Análise de Célula Única/métodos
10.
PLoS One ; 15(8): e0231125, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32866172

RESUMO

Korean peninsula weather is rapidly becoming subtropical due to global warming. In summer 2018, South Korea experienced the highest temperatures since the meteorological observations recorded in 1907. Heat stress has a negative effect on Holstein cows, the most popular breed of dairy cattle in South Korea, which is susceptible to heat. To examine physiological changes in dairy cows under heat stress conditions, we analyzed the profiles circulating microRNAs isolated from whole blood samples collected under heat stress and non-heat stress conditions using small RNA sequencing. We compared the expression profiles in lactating cows under heat stress and non-heat stress conditions to understand the regulation of biological processes in heat-stressed cows. Moreover, we measured several heat stress indicators, such as rectal temperature, milk yield, and average daily gain. All these assessments showed that pregnant cows were more susceptible to heat stress than non-pregnant cows. In addition, we found the differential expression of 11 miRNAs (bta-miR-19a, bta-miR-19b, bta-miR-30a-5p, and several from the bta-miR-2284 family) in both pregnant and non-pregnant cows under heat stress conditions. In target gene prediction and gene set enrichment analysis, these miRNAs were found to be associated with the cytoskeleton, cell junction, vasculogenesis, cell proliferation, ATP synthesis, oxidative stress, and immune responses involved in heat response. These miRNAs can be used as potential biomarkers for heat stress.


Assuntos
MicroRNA Circulante/genética , Resposta ao Choque Térmico/genética , Lactação/genética , Animais , Cruzamento , Bovinos , Doenças dos Bovinos/genética , Feminino , Perfilação da Expressão Gênica/métodos , Transtornos de Estresse por Calor/sangue , Temperatura Alta , MicroRNAs/genética , Leite/metabolismo , Gravidez , RNA Circular/genética , República da Coreia , Estações do Ano , Análise de Sequência de RNA/métodos
11.
Nat Commun ; 11(1): 3822, 2020 07 30.
Artigo em Inglês | MEDLINE | ID: mdl-32732898

RESUMO

Alveolar macrophages (AMs) derived from embryonic precursors seed the lung before birth and self-maintain locally throughout adulthood, but are regenerated by bone marrow (BM) under stress conditions. However, the regulation of AM development and maintenance remains poorly understood. Here, we show that histone deacetylase 3 (HDAC3) is a key epigenetic factor required for AM embryonic development, postnatal homeostasis, maturation, and regeneration from BM. Loss of HDAC3 in early embryonic development affects AM development starting at E14.5, while loss of HDAC3 after birth affects AM homeostasis and maturation. Single-cell RNA sequencing analyses reveal four distinct AM sub-clusters and a dysregulated cluster-specific pathway in the HDAC3-deficient AMs. Moreover, HDAC3-deficient AMs exhibit severe mitochondrial oxidative dysfunction and deteriorative cell death. Mechanistically, HDAC3 directly binds to Pparg enhancers, and HDAC3 deficiency impairs Pparg expression and its signaling pathway. Our findings identify HDAC3 as a key epigenetic regulator of lung AM development and homeostasis.


Assuntos
Histona Desacetilases/genética , Homeostase/genética , Pulmão/metabolismo , Macrófagos Alveolares/metabolismo , Animais , Apoptose/genética , Diferenciação Celular/genética , Linhagem Celular , Células Cultivadas , Feminino , Perfilação da Expressão Gênica/métodos , Regulação da Expressão Gênica no Desenvolvimento , Ontologia Genética , Histona Desacetilases/deficiência , Histona Desacetilases/metabolismo , Pulmão/embriologia , Pulmão/crescimento & desenvolvimento , Macrófagos Alveolares/citologia , Masculino , Camundongos Endogâmicos C57BL , Camundongos Knockout , Camundongos Transgênicos
12.
Nat Commun ; 11(1): 3877, 2020 08 03.
Artigo em Inglês | MEDLINE | ID: mdl-32747659

RESUMO

Deep learning methods for digital pathology analysis are an effective way to address multiple clinical questions, from diagnosis to prediction of treatment outcomes. These methods have also been used to predict gene mutations from pathology images, but no comprehensive evaluation of their potential for extracting molecular features from histology slides has yet been performed. We show that HE2RNA, a model based on the integration of multiple data modes, can be trained to systematically predict RNA-Seq profiles from whole-slide images alone, without expert annotation. Through its interpretable design, HE2RNA provides virtual spatialization of gene expression, as validated by CD3- and CD20-staining on an independent dataset. The transcriptomic representation learned by HE2RNA can also be transferred on other datasets, even of small size, to increase prediction performance for specific molecular phenotypes. We illustrate the use of this approach in clinical diagnosis purposes such as the identification of tumors with microsatellite instability.


Assuntos
Biologia Computacional/métodos , Aprendizado Profundo , Regulação Neoplásica da Expressão Gênica , Processamento de Imagem Assistida por Computador/métodos , Neoplasias/genética , RNA-Seq/métodos , Algoritmos , Perfilação da Expressão Gênica/métodos , Humanos , Instabilidade de Microssatélites , Modelos Genéticos , Neoplasias/diagnóstico , Neoplasias/metabolismo
13.
Nat Commun ; 11(1): 3871, 2020 08 03.
Artigo em Inglês | MEDLINE | ID: mdl-32747712

RESUMO

Relapses in multiple sclerosis can result in irreversible nervous system tissue injury. If these events could be detected early, targeted immunotherapy could potentially slow disease progression. We describe the use of engineered biomaterial-based immunological niches amenable to biopsy to provide insights into the phenotype of innate immune cells that control disease activity in a mouse model of multiple sclerosis. Differential gene expression in cells from these niches allow monitoring of disease dynamics and gauging the effectiveness of treatment. A proactive treatment regimen, given in response to signal within the niche but before symptoms appeared, substantially reduced disease. This technology offers a new approach to monitor organ-specific autoimmunity, and represents a platform to analyze immune dysfunction within otherwise inaccessible target tissues.


Assuntos
Encefalomielite Autoimune Experimental/terapia , Imunoterapia/métodos , Monitorização Fisiológica/métodos , Esclerose Múltipla/terapia , Animais , Modelos Animais de Doenças , Progressão da Doença , Encefalomielite Autoimune Experimental/genética , Encefalomielite Autoimune Experimental/imunologia , Feminino , Expressão Gênica/genética , Expressão Gênica/imunologia , Perfilação da Expressão Gênica/métodos , Humanos , Camundongos Endogâmicos , Esclerose Múltipla/genética , Esclerose Múltipla/imunologia , Recidiva , Resultado do Tratamento
14.
PLoS One ; 15(7): e0234448, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32735565

RESUMO

Soybean root rot is a typical soil-borne disease that severely affects the yield of soybean. Funneliformis mosseae is one of the arbuscular mycorrhizal fungi(AMF) dominant strains in soybean continuous cropping soil. The aim of this study was to providing an experimental basis for the study of the molecular mechanism underlying the alleviation of the obstacles associated with the continuous cropping of soybean by AMF. In this study, F. mosseae was inoculated in soil planted with soybean infected with Fusarium oxysporum. The results showed that the incidence of soybean root rot was significantly reduced after inoculation with F. mosseae. In F. mosseae-treated samples, the significantly upregulated genes encoded transmembrane protein in fungal cell membrane. The significantly downregulated genes encoded some proteins, which took part in composition of essential component of fungal cell wall; hydrolyse cellulose and hemicellulose. The DEGs in each treatment were enriched in antigen processing and presentation, carbon fixation in photosynthetic organisms, glycolysis/gluconeogenesis, the MAPK signalling pathway, protein processing in the endoplasmic reticulum and RNA degradation. Inoculation with F. mosseae could in a variety of ways to promote the growth, development of soybean and improve disease resistance. Such as help fungal build barriers to the disease resistance of host plant and enhance their pathogenicity; damaging the structure of the pathogen; protect plant tissues and so on. This study provides an experimental basis for further research on the molecular mechanism underlying the alleviation of challenges associated with the continuous cropping of soybean by AMF.


Assuntos
Fusarium/genética , Micorrizas/genética , Transcriptoma/genética , Fusarium/metabolismo , Perfilação da Expressão Gênica/métodos , Regulação Fúngica da Expressão Gênica/genética , Micorrizas/patogenicidade , Fotossíntese , Raízes de Plantas/metabolismo , Solo , Microbiologia do Solo , Soja/crescimento & desenvolvimento
15.
Nat Commun ; 11(1): 4296, 2020 08 27.
Artigo em Inglês | MEDLINE | ID: mdl-32855387

RESUMO

Assays to study cancer cell responses to pharmacologic or genetic perturbations are typically restricted to using simple phenotypic readouts such as proliferation rate. Information-rich assays, such as gene-expression profiling, have generally not permitted efficient profiling of a given perturbation across multiple cellular contexts. Here, we develop MIX-Seq, a method for multiplexed transcriptional profiling of post-perturbation responses across a mixture of samples with single-cell resolution, using SNP-based computational demultiplexing of single-cell RNA-sequencing data. We show that MIX-Seq can be used to profile responses to chemical or genetic perturbations across pools of 100 or more cancer cell lines. We combine it with Cell Hashing to further multiplex additional experimental conditions, such as post-treatment time points or drug doses. Analyzing the high-content readout of scRNA-seq reveals both shared and context-specific transcriptional response components that can identify drug mechanism of action and enable prediction of long-term cell viability from short-term transcriptional responses to treatment.


Assuntos
Perfilação da Expressão Gênica/métodos , Neoplasias/genética , Análise de Célula Única/métodos , Antineoplásicos/farmacologia , Sequência de Bases , Linhagem Celular Tumoral , Sobrevivência Celular/genética , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Humanos , Modelos Estatísticos , Neoplasias/tratamento farmacológico , Neoplasias/patologia , Polimorfismo de Nucleotídeo Único , Piridonas/farmacologia , Pirimidinonas/farmacologia
17.
PLoS Comput Biol ; 16(8): e1008120, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32804935

RESUMO

Complexity of cell-type composition has created much skepticism surrounding the interpretation of bulk tissue transcriptomic studies. Recent studies have shown that deconvolution algorithms can be applied to computationally estimate cell-type proportions from gene expression data of bulk blood samples, but their performance when applied to brain tissue is unclear. Here, we have generated an immunohistochemistry (IHC) dataset for five major cell-types from brain tissue of 70 individuals, who also have bulk cortical gene expression data. With the IHC data as the benchmark, this resource enables quantitative assessment of deconvolution algorithms for brain tissue. We apply existing deconvolution algorithms to brain tissue by using marker sets derived from human brain single cell and cell-sorted RNA-seq data. We show that these algorithms can indeed produce informative estimates of constituent cell-type proportions. In fact, neuronal subpopulations can also be estimated from bulk brain tissue samples. Further, we show that including the cell-type proportion estimates as confounding factors is important for reducing false associations between Alzheimer's disease phenotypes and gene expression. Lastly, we demonstrate that using more accurate marker sets can substantially improve statistical power in detecting cell-type specific expression quantitative trait loci (eQTLs).


Assuntos
Algoritmos , Encéfalo , Perfilação da Expressão Gênica/métodos , Análise de Sequência de RNA/métodos , Transcriptoma/genética , Encéfalo/citologia , Encéfalo/metabolismo , Biologia Computacional , Humanos , Imuno-Histoquímica , Especificidade de Órgãos/genética , Fenótipo , Locos de Características Quantitativas/genética , Análise de Célula Única
18.
Nat Commun ; 11(1): 4153, 2020 08 19.
Artigo em Inglês | MEDLINE | ID: mdl-32814769

RESUMO

The histone methyltransferase DOT1L methylates lysine 79 (K79) on histone H3 and is involved in Mixed Lineage Leukemia (MLL) fusion leukemogenesis; however, its role in prostate cancer (PCa) is undefined. Here we show that DOT1L is overexpressed in PCa and is associated with poor outcome. Genetic and chemical inhibition of DOT1L selectively impaired the viability of androgen receptor (AR)-positive PCa cells and organoids, including castration-resistant and enzalutamide-resistant cells. The sensitivity of AR-positive cells is due to a distal K79 methylation-marked enhancer in the MYC gene bound by AR and DOT1L not present in AR-negative cells. DOT1L inhibition leads to reduced MYC expression and upregulation of MYC-regulated E3 ubiquitin ligases HECTD4 and MYCBP2, which promote AR and MYC degradation. This leads to further repression of MYC in a negative feed forward manner. Thus DOT1L selectively regulates the tumorigenicity of AR-positive prostate cancer cells and is a promising therapeutic target for PCa.


Assuntos
Histona-Lisina N-Metiltransferase/genética , Neoplasias da Próstata/genética , Proteínas Proto-Oncogênicas c-myc/genética , Receptores Androgênicos/genética , Adenosina/análogos & derivados , Adenosina/farmacologia , Animais , Linhagem Celular Tumoral , Intervalo Livre de Doença , Perfilação da Expressão Gênica/métodos , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Histona-Lisina N-Metiltransferase/antagonistas & inibidores , Histona-Lisina N-Metiltransferase/metabolismo , Humanos , Masculino , Camundongos Endogâmicos NOD , Camundongos Knockout , Camundongos SCID , Compostos de Fenilureia/farmacologia , Neoplasias da Próstata/metabolismo , Neoplasias da Próstata/terapia , Estabilidade Proteica/efeitos dos fármacos , Proteínas Proto-Oncogênicas c-myc/metabolismo , Interferência de RNA , Terapêutica com RNAi/métodos , Receptores Androgênicos/metabolismo , Ensaios Antitumorais Modelo de Xenoenxerto/métodos
19.
Nat Commun ; 11(1): 4171, 2020 08 20.
Artigo em Inglês | MEDLINE | ID: mdl-32820176

RESUMO

Spiralia is a large, ancient and diverse clade of animals, with a conserved early developmental program but diverse larval and adult morphologies. One trait shared by many spiralians is the presence of ciliary bands used for locomotion and feeding. To learn more about spiralian-specific traits we have examined the expression of 20 genes with protein motifs that are strongly conserved within the Spiralia, but not detectable outside of it. Here, we show that two of these are specifically expressed in the main ciliary band of the mollusc Tritia (also known as Ilyanassa). Their expression patterns in representative species from five more spiralian phyla-the annelids, nemerteans, phoronids, brachiopods and rotifers-show that at least one of these, lophotrochin, has a conserved and specific role in particular ciliated structures, most consistently in ciliary bands. These results highlight the potential importance of lineage-specific genes or protein motifs for understanding traits shared across ancient lineages.


Assuntos
Motivos de Aminoácidos/genética , Cílios/genética , Invertebrados/genética , Proteínas/genética , Animais , Anelídeos/classificação , Anelídeos/genética , Anelídeos/fisiologia , Evolução Biológica , Cílios/fisiologia , Comportamento Alimentar/fisiologia , Perfilação da Expressão Gênica/métodos , Invertebrados/classificação , Invertebrados/fisiologia , Larva/genética , Larva/fisiologia , Locomoção/fisiologia , Moluscos/classificação , Moluscos/genética , Moluscos/fisiologia , Filogenia , Especificidade da Espécie
20.
Nat Commun ; 11(1): 4225, 2020 08 24.
Artigo em Inglês | MEDLINE | ID: mdl-32839463

RESUMO

Gallbladder cancer (GBC) is an aggressive gastrointestinal malignancy with no approved targeted therapy. Here, we analyze exomes (n = 160), transcriptomes (n = 115), and low pass whole genomes (n = 146) from 167 gallbladder cancers (GBCs) from patients in Korea, India and Chile. In addition, we also sequence samples from 39 GBC high-risk patients and detect evidence of early cancer-related genomic lesions. Among the several significantly mutated genes not previously linked to GBC are ETS domain genes ELF3 and EHF, CTNNB1, APC, NSD1, KAT8, STK11 and NFE2L2. A majority of ELF3 alterations are frame-shift mutations that result in several cancer-specific neoantigens that activate T-cells indicating that they are cancer vaccine candidates. In addition, we identify recurrent alterations in KEAP1/NFE2L2 and WNT pathway in GBC. Taken together, these define multiple targetable therapeutic interventions opportunities for GBC treatment and management.


Assuntos
Proteínas de Ligação a DNA/genética , Mutação da Fase de Leitura , Neoplasias da Vesícula Biliar/genética , Predisposição Genética para Doença/genética , Proteínas Proto-Oncogênicas c-ets/genética , Fatores de Transcrição/genética , Vacinas Anticâncer/genética , Vacinas Anticâncer/imunologia , Chile , Proteínas de Ligação a DNA/imunologia , Proteínas de Ligação a DNA/metabolismo , Neoplasias da Vesícula Biliar/diagnóstico , Neoplasias da Vesícula Biliar/metabolismo , Perfilação da Expressão Gênica/métodos , Regulação Neoplásica da Expressão Gênica , Genômica/métodos , Humanos , Índia , Proteína 1 Associada a ECH Semelhante a Kelch/genética , Proteína 1 Associada a ECH Semelhante a Kelch/metabolismo , Fator 2 Relacionado a NF-E2/genética , Fator 2 Relacionado a NF-E2/metabolismo , Proteínas Proto-Oncogênicas c-ets/imunologia , Proteínas Proto-Oncogênicas c-ets/metabolismo , República da Coreia , Fatores de Transcrição/imunologia , Fatores de Transcrição/metabolismo , Via de Sinalização Wnt/genética , beta Catenina/genética , beta Catenina/metabolismo
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