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1.
Nat Struct Mol Biol ; 30(7): 935-947, 2023 07.
Artigo em Inglês | MEDLINE | ID: mdl-37308596

RESUMO

Mammalian genomes harbor abundant transposable elements (TEs) and their remnants, with numerous epigenetic repression mechanisms enacted to silence TE transcription. However, TEs are upregulated during early development, neuronal lineage, and cancers, although the epigenetic factors contributing to the transcription of TEs have yet to be fully elucidated. Here, we demonstrate that the male-specific lethal (MSL)-complex-mediated histone H4 acetylation at lysine 16 (H4K16ac) is enriched at TEs in human embryonic stem cells (hESCs) and cancer cells. This in turn activates transcription of subsets of full-length long interspersed nuclear elements (LINE1s, L1s) and endogenous retrovirus (ERV) long terminal repeats (LTRs). Furthermore, we show that the H4K16ac-marked L1 and LTR subfamilies display enhancer-like functions and are enriched in genomic locations with chromatin features associated with active enhancers. Importantly, such regions often reside at boundaries of topologically associated domains and loop with genes. CRISPR-based epigenetic perturbation and genetic deletion of L1s reveal that H4K16ac-marked L1s and LTRs regulate the expression of genes in cis. Overall, TEs enriched with H4K16ac contribute to the cis-regulatory landscape at specific genomic locations by maintaining an active chromatin landscape at TEs.


Assuntos
Elementos de DNA Transponíveis , Retrovirus Endógenos , Animais , Humanos , Masculino , Elementos de DNA Transponíveis/genética , Cromatina/genética , Sequências Reguladoras de Ácido Nucleico/genética , Retrovirus Endógenos/genética , Genômica , Mamíferos/genética
2.
Ann N Y Acad Sci ; 1506(1): 74-97, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34605044

RESUMO

Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state-transcriptional, epigenetic, and other characteristics-can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17-19, 2021, experts in single cell biology met virtually for the Keystone eSymposium "Single Cell Biology" to discuss advances both in single cell applications and technologies.


Assuntos
Diferenciação Celular/fisiologia , Reprogramação Celular/fisiologia , Congressos como Assunto/tendências , Desenvolvimento Embrionário/fisiologia , Relatório de Pesquisa , Análise de Célula Única/tendências , Animais , Linhagem da Célula/fisiologia , Humanos , Macrófagos/fisiologia , Análise de Célula Única/métodos
3.
Mol Cell ; 64(2): 362-375, 2016 10 20.
Artigo em Inglês | MEDLINE | ID: mdl-27768873

RESUMO

Cell division is characterized by a sequence of events by which a cell gives rise to two daughter cells. Quantitative measurements of cell-cycle dynamics in single cells showed that despite variability in G1-, S-, and G2 phases, duration of mitosis is short and remarkably constant. Surprisingly, there is no correlation between cell-cycle length and mitotic duration, suggesting that mitosis is temporally insulated from variability in earlier cell-cycle phases. By combining live cell imaging and computational modeling, we showed that positive feedback is the molecular mechanism underlying the temporal insulation of mitosis. Perturbing positive feedback gave rise to a sluggish, variable entry and progression through mitosis and uncoupled duration of mitosis from variability in cell cycle length. We show that positive feedback is important to keep mitosis short, constant, and temporally insulated and anticipate it might be a commonly used regulatory strategy to create modularity in other biological systems.


Assuntos
Proteínas de Ciclo Celular/genética , Cromatina/química , Histonas/genética , Mitose , Modelos Estatísticos , Fatores de Transcrição/genética , Proteínas de Bactérias/genética , Proteínas de Bactérias/metabolismo , Proteínas de Ciclo Celular/metabolismo , Linhagem Celular Tumoral , Cromatina/metabolismo , Células Epiteliais/citologia , Células Epiteliais/metabolismo , Retroalimentação Fisiológica , Fase G2/genética , Células HeLa , Histonas/metabolismo , Humanos , Cinética , Proteínas Luminescentes/genética , Proteínas Luminescentes/metabolismo , Imagem Molecular , Proteínas Recombinantes de Fusão/genética , Proteínas Recombinantes de Fusão/metabolismo , Fatores de Tempo , Fatores de Transcrição/metabolismo , Transcrição Gênica , Proteína Vermelha Fluorescente
4.
Nat Cell Biol ; 9(3): 324-30, 2007 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-17310240

RESUMO

The mitogen-activated protein kinase (MAPK) network is a conserved signalling module that regulates cell fate by transducing a myriad of growth-factor signals. The ability of this network to coordinate and process a variety of inputs from different growth-factor receptors into specific biological responses is, however, still not understood. We investigated how the MAPK network brings about signal specificity in PC-12 cells, a model for neuronal differentiation. Reverse engineering by modular-response analysis uncovered topological differences in the MAPK core network dependent on whether cells were activated with epidermal or neuronal growth factor (EGF or NGF). On EGF stimulation, the network exhibited negative feedback only, whereas a positive feedback was apparent on NGF stimulation. The latter allows for bi-stable Erk activation dynamics, which were indeed observed. By rewiring these regulatory feedbacks, we were able to reverse the specific cell responses to EGF and NGF. These results show that growth factor context determines the topology of the MAPK signalling network and that the resulting dynamics govern cell fate.


Assuntos
MAP Quinases Reguladas por Sinal Extracelular/metabolismo , Peptídeos e Proteínas de Sinalização Intercelular/farmacologia , Sistema de Sinalização das MAP Quinases/fisiologia , Animais , Ciclo Celular/efeitos dos fármacos , Diferenciação Celular/efeitos dos fármacos , Diferenciação Celular/fisiologia , Proliferação de Células/efeitos dos fármacos , Fator de Crescimento Epidérmico/farmacologia , Citometria de Fluxo , MAP Quinase Quinase 1/genética , MAP Quinase Quinase 1/metabolismo , Sistema de Sinalização das MAP Quinases/efeitos dos fármacos , Proteína Quinase 1 Ativada por Mitógeno/genética , Proteína Quinase 1 Ativada por Mitógeno/metabolismo , Proteína Quinase 3 Ativada por Mitógeno/genética , Proteína Quinase 3 Ativada por Mitógeno/metabolismo , Modelos Biológicos , Método de Monte Carlo , Fator de Crescimento Neural/farmacologia , Células PC12 , Fosforilação/efeitos dos fármacos , Proteína Quinase C/antagonistas & inibidores , Inibidores de Proteínas Quinases/farmacologia , Proteínas Proto-Oncogênicas B-raf/genética , Proteínas Proto-Oncogênicas B-raf/metabolismo , Proteínas Proto-Oncogênicas c-raf/genética , Proteínas Proto-Oncogênicas c-raf/metabolismo , RNA Interferente Pequeno/genética , Ratos , Receptor trkA/antagonistas & inibidores , Acetato de Tetradecanoilforbol/farmacologia
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