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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
27/04/2026 |
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Data da última atualização: |
27/04/2026 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
THORNBURG, Z. R.; MAYTIN, A.; KWON, J.; BRIER, T. A.; GILBERT, B. R.; FU, E.; GAO, Y.-L.; QUENNEVILLE, J.; WU, T.; LI, H.; LONG, T.; PEZESHKIAN, W.; SUN, L.; BITTENCOURT, D. M. de C.; GLASS, J. I.; MEHTA, A. P.; HA, T.; LUTHEY-SCHULTEN, Z. |
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Afiliação: |
ZANE R. THORNBURG, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; ANDREW MAYTIN, NSF SCIENCE AND TECHNOLOGY CENTER FOR QUANTITATIVE CELL BIOLOGY; JIWOONG KWON, JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE; TROY A. BRIER, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; BENJAMIN R. GILBERT, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; ENGUANG FU, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; YANG-LE GAO, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; JORDAN QUENNEVILLE, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; TIANYU WU, NSF SCIENCE AND TECHNOLOGY CENTER FOR QUANTITATIVE CELL BIOLOGY; HENRY LI, NSF SCIENCE AND TECHNOLOGY CENTER FOR QUANTITATIVE CELL BIOLOGY; TALIA LONG, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; WERIA PEZESHKIAN, UNIVERSITY OF COPENHAGEN; LIJIE SUN, J. CRAIG VENTER INSTITUTE; DANIELA MATIAS DE CARVALHO BITTENCOURT, CENARGEN; JOHN I. GLASS, J. CRAIG VENTER INSTITUTE; ANGAD P. MEHTA, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN; TAEKJIP HA, JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE; ZAIDA LUTHEY-SCHULTEN, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN. |
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Título: |
Bringing the genetically minimal cell to life on a computer in 4D. |
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Ano de publicação: |
2026 |
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Fonte/Imprenta: |
Cell, 189, 2026. |
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DOI: |
https://doi.org/10.1016/j.cell.2026.02.009 |
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Idioma: |
Inglês |
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Conteúdo: |
We present a whole-cell spatial and kinetic model for the 100 min cell cycle of the genetically minimal bacterium JCVI-syn3A. We simulate the complete cell cycle in 4D (space and time), including all genetic information processes, metabolic networks, growth, and cell division. By integrating hybrid computational methods, we model the dynamics of morphological transformations. Growth is driven by insertion of lipids and membrane proteins and constrained by fluorescence imaging data. Chromosome replication and segregation are controlled by the essential structural maintenance of chromosome proteins, analogous to condensin (SMC) and topoisomerase proteins in Brownian dynamics simulations, with replication rates responding to deoxyribonucleotide triphosphate (dNTP) pools from metabolism. The model captures the origin-to-terminus ratio measured in our DNA sequencing and recovers other experimental measurements, such as doubling time, mRNA half-lives, protein distributions, and ribosome counts. Because of stochasticity, each replicate cell is unique. We predict not only the average behavior of partitioning to daughter cells but also the heterogeneity among them. |
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Palavras-Chave: |
DNA sequencing; Fluorescence imaging; Lattice Microbes; Minimal cell; Whole-cell modeling. |
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Thesaurus Nal: |
Cell cycle. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02241naa a2200409 a 4500 001 2186390 005 2026-04-27 008 2026 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.cell.2026.02.009$2DOI 100 1 $aTHORNBURG, Z. R. 245 $aBringing the genetically minimal cell to life on a computer in 4D.$h[electronic resource] 260 $c2026 520 $aWe present a whole-cell spatial and kinetic model for the 100 min cell cycle of the genetically minimal bacterium JCVI-syn3A. We simulate the complete cell cycle in 4D (space and time), including all genetic information processes, metabolic networks, growth, and cell division. By integrating hybrid computational methods, we model the dynamics of morphological transformations. Growth is driven by insertion of lipids and membrane proteins and constrained by fluorescence imaging data. Chromosome replication and segregation are controlled by the essential structural maintenance of chromosome proteins, analogous to condensin (SMC) and topoisomerase proteins in Brownian dynamics simulations, with replication rates responding to deoxyribonucleotide triphosphate (dNTP) pools from metabolism. The model captures the origin-to-terminus ratio measured in our DNA sequencing and recovers other experimental measurements, such as doubling time, mRNA half-lives, protein distributions, and ribosome counts. Because of stochasticity, each replicate cell is unique. We predict not only the average behavior of partitioning to daughter cells but also the heterogeneity among them. 650 $aCell cycle 653 $aDNA sequencing 653 $aFluorescence imaging 653 $aLattice Microbes 653 $aMinimal cell 653 $aWhole-cell modeling 700 1 $aMAYTIN, A. 700 1 $aKWON, J. 700 1 $aBRIER, T. A. 700 1 $aGILBERT, B. R. 700 1 $aFU, E. 700 1 $aGAO, Y.-L. 700 1 $aQUENNEVILLE, J. 700 1 $aWU, T. 700 1 $aLI, H. 700 1 $aLONG, T. 700 1 $aPEZESHKIAN, W. 700 1 $aSUN, L. 700 1 $aBITTENCOURT, D. M. de C. 700 1 $aGLASS, J. I. 700 1 $aMEHTA, A. P. 700 1 $aHA, T. 700 1 $aLUTHEY-SCHULTEN, Z. 773 $tCell, 189, 2026.
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| 1. |  | LOPES-NETO, R. B.; SCHINDLER, B.; FIGUEIRA, M.; SIMON, M. F.; VINÍCIUS-SILVA, R.; VIANA, P. L. Merostachys tonicoi (Poaceae, Bambusoideae, Bambuseae), a new species at the frontier of Amazonian deforestation in Brazil. Phytotaxa, v. 690, n. 2, p. 231-242, 2025.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
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