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1.
Mol Cell ; 80(3): 541-553.e5, 2020 11 05.
Artigo em Inglês | MEDLINE | ID: mdl-33068522

RESUMO

To address how genetic variation alters gene expression in complex cell mixtures, we developed direct nuclear tagmentation and RNA sequencing (DNTR-seq), which enables whole-genome and mRNA sequencing jointly in single cells. DNTR-seq readily identified minor subclones within leukemia patients. In a large-scale DNA damage screen, DNTR-seq was used to detect regions under purifying selection and identified genes where mRNA abundance was resistant to copy-number alteration, suggesting strong genetic compensation. mRNA sequencing (mRNA-seq) quality equals RNA-only methods, and the low positional bias of genomic libraries allowed detection of sub-megabase aberrations at ultra-low coverage. Each cell library is individually addressable and can be re-sequenced at increased depth, allowing multi-tiered study designs. Additionally, the direct tagmentation protocol enables coverage-independent estimation of ploidy, which can be used to identify cell singlets. Thus, DNTR-seq directly links each cell's state to its corresponding genome at scale, enabling routine analysis of heterogeneous tumors and other complex tissues.


Assuntos
Perfilação da Expressão Gênica/métodos , Análise de Célula Única/métodos , Sequenciamento Completo do Genoma/métodos , Animais , Sequência de Bases/genética , Linhagem Celular Tumoral , Biblioteca Gênica , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Humanos , RNA/genética , RNA Mensageiro/genética , Análise de Sequência de DNA/métodos
2.
Nat Methods ; 18(8): 912-920, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34253926

RESUMO

Cellular identity in complex multicellular organisms is determined in part by the physical organization of cells. However, large-scale investigation of the cellular interactome remains technically challenging. Here we develop cell interaction by multiplet sequencing (CIM-seq), an unsupervised and high-throughput method to analyze direct physical cell-cell interactions between cell types present in a tissue. CIM-seq is based on RNA sequencing of incompletely dissociated cells, followed by computational deconvolution into constituent cell types. CIM-seq estimates parameters such as number of cells and cell types in each multiplet directly from sequencing data, making it compatible with high-throughput droplet-based methods. When applied to gut epithelium or whole dissociated lung and spleen, CIM-seq correctly identifies known interactions, including those between different cell lineages and immune cells. In the colon, CIM-seq identifies a previously unrecognized goblet cell subtype expressing the wound-healing marker Plet1, which is directly adjacent to colonic stem cells. Our results demonstrate that CIM-seq is broadly applicable to unsupervised profiling of cell-type interactions in different tissue types.


Assuntos
Comunicação Celular , Linhagem da Célula , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Transcriptoma , Animais , Feminino , Trato Gastrointestinal/metabolismo , Perfilação da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Pulmão/metabolismo , Camundongos , Camundongos Endogâmicos C57BL , Baço/metabolismo
3.
Surg Endosc ; 32(10): 4216-4227, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-29603002

RESUMO

BACKGROUND: Navigation systems have the potential to facilitate intraoperative orientation and recognition of anatomical structures. Intraoperative accuracy of navigation in thoracoabdominal surgery depends on soft tissue deformation. We evaluated esophageal motion caused by respiration and pneumoperitoneum in a porcine model for minimally invasive esophagectomy. METHODS: In ten pigs (20-34 kg) under general anesthesia, gastroscopic hemoclips were applied to the cervical (CE), high (T1), middle (T2), and lower thoracic (T3) level, and to the gastroesophageal junction (GEJ) of the esophagus. Furthermore, skin markers were applied. Three-dimensional (3D) and four-dimensional (4D) computed tomography (CT) scans were acquired before and after creation of pneumoperitoneum. Marker positions and lung volumes were analyzed with open source image segmentation software. RESULTS: Respiratory motion of the esophagus was higher at T3 (7.0 ± 3.3 mm, mean ± SD) and GEJ (6.9 ± 2.8 mm) than on T2 (4.5 ± 1.8 mm), T1 (3.1 ± 1.8 mm), and CE (1.3 ± 1.1 mm). There was significant motion correlation in between the esophageal levels. T1 motion correlated with all other esophagus levels (r = 0.51, p = 0.003). Esophageal motion correlated with ventilation volume (419 ± 148 ml) on T1 (r = 0.29), T2 (r = 0.44), T3 (r = 0.54), and GEJ (r = 0.58) but not on CE (r = - 0.04). Motion correlation of the esophagus with skin markers was moderate to high for T1, T2, T3, GEJ, but not evident for CE. Pneumoperitoneum led to considerable displacement of the esophagus (8.2 ± 3.4 mm) and had a level-specific influence on respiratory motion. CONCLUSIONS: The position and motion of the esophagus was considerably influenced by respiration and creation of pneumoperitoneum. Esophageal motion correlated with respiration and skin motion. Possible compensation mechanisms for soft tissue deformation were successfully identified. The porcine model is similar to humans for respiratory esophageal motion and can thus help to develop navigation systems with compensation for soft tissue deformation.


Assuntos
Esofagectomia/métodos , Esôfago/diagnóstico por imagem , Procedimentos Cirúrgicos Minimamente Invasivos/métodos , Movimentos dos Órgãos , Pneumoperitônio Artificial , Respiração , Tomografia Computadorizada por Raios X , Animais , Junção Esofagogástrica/diagnóstico por imagem , Junção Esofagogástrica/fisiologia , Esôfago/fisiologia , Tomografia Computadorizada Quadridimensional , Imageamento Tridimensional , Modelos Animais , Movimento (Física) , Movimento , Suínos
4.
Nat Commun ; 13(1): 1854, 2022 04 06.
Artigo em Inglês | MEDLINE | ID: mdl-35388014

RESUMO

X-chromosome inactivation and X-upregulation are the fundamental modes of chromosome-wide gene regulation that collectively achieve dosage compensation in mammals, but the regulatory link between the two remains elusive and the X-upregulation dynamics are unknown. Here, we use allele-resolved single-cell RNA-seq combined with chromatin accessibility profiling and finely dissect their separate effects on RNA levels during mouse development. Surprisingly, we uncover that X-upregulation elastically tunes expression dosage in a sex- and lineage-specific manner, and moreover along varying degrees of X-inactivation progression. Male blastomeres achieve X-upregulation upon zygotic genome activation while females experience two distinct waves of upregulation, upon imprinted and random X-inactivation; and ablation of Xist impedes female X-upregulation. Female cells carrying two active X chromosomes lack upregulation, yet their collective RNA output exceeds that of a single hyperactive allele. Importantly, this conflicts the conventional dosage compensation model in which naïve female cells are initially subject to biallelic X-upregulation followed by X-inactivation of one allele to correct the X dosage. Together, our study provides key insights to the chain of events of dosage compensation, explaining how transcript copy numbers can remain remarkably stable across developmental windows wherein severe dose imbalance would otherwise be experienced by the cell.


Assuntos
Mecanismo Genético de Compensação de Dose , RNA Longo não Codificante , Alelos , Animais , Feminino , Masculino , Mamíferos/genética , Camundongos , RNA Longo não Codificante/genética , Regulação para Cima , Cromossomo X/genética , Inativação do Cromossomo X/genética
5.
Curr Biol ; 28(14): 2263-2273.e4, 2018 07 23.
Artigo em Inglês | MEDLINE | ID: mdl-30017485

RESUMO

Mammals, including humans, prepare for sleep by nesting and/or curling up, creating microclimates of skin warmth. To address whether external warmth induces sleep through defined circuitry, we used c-Fos-dependent activity tagging, which captures populations of activated cells and allows them to be reactivated to test their physiological role. External warming tagged two principal groups of neurons in the median preoptic (MnPO)/medial preoptic (MPO) hypothalamic area. GABA neurons located mainly in MPO produced non-rapid eye movement (NREM) sleep but no body temperature decrease. Nitrergic-glutamatergic neurons in MnPO-MPO induced both body cooling and NREM sleep. This circuitry explains how skin warming induces sleep and why the maximal rate of core body cooling positively correlates with sleep onset. Thus, the pathways that promote NREM sleep, reduced energy expenditure, and body cooling are inextricably linked, commanded by the same neurons. This implies that one function of NREM sleep is to lower brain temperature and/or conserve energy.


Assuntos
Regulação da Temperatura Corporal/fisiologia , Neurônios/fisiologia , Área Pré-Óptica/fisiologia , Sono/fisiologia , Adaptação Fisiológica , Animais , Temperatura Baixa , Temperatura Alta , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Proteínas Proto-Oncogênicas c-fos/metabolismo
6.
Cell Death Dis ; 9(7): 736, 2018 07 03.
Artigo em Inglês | MEDLINE | ID: mdl-29970884

RESUMO

The microRNA-34a is a well-studied tumor suppressor microRNA (miRNA) and a direct downstream target of TP53 with roles in several pathways associated with oncogenesis, such as proliferation, cellular growth, and differentiation. Due to its broad tumor suppressive activity, it is not surprising that miR34a expression is altered in a wide variety of solid tumors and hematological malignancies. However, the mechanisms by which miR34a is regulated in these cancers is largely unknown. In this study, we find that a long noncoding RNA transcribed antisense to the miR34a host gene, is critical for miR34a expression and mediation of its cellular functions in multiple types of human cancer. We name this long noncoding RNA lncTAM34a, and characterize its ability to facilitate miR34a expression under different types of cellular stress in both TP53-deficient and wild-type settings.


Assuntos
MicroRNAs/metabolismo , RNA Antissenso/fisiologia , Western Blotting , Ciclo Celular/genética , Ciclo Celular/fisiologia , Linhagem Celular Tumoral , Proliferação de Células/genética , Proliferação de Células/fisiologia , Imunoprecipitação da Cromatina , Biologia Computacional , Dano ao DNA/genética , Dano ao DNA/fisiologia , Regulação Neoplásica da Expressão Gênica/genética , Regulação Neoplásica da Expressão Gênica/fisiologia , Genes Supressores de Tumor/fisiologia , Humanos , MicroRNAs/genética , Regiões Promotoras Genéticas/genética , RNA Antissenso/genética , Espectrometria de Massas em Tandem
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