Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Takashi Nozoe"'
Publikováno v:
eLife, Vol 11 (2022)
Intracellular states probed by gene expression profiles and metabolic activities are intrinsically noisy, causing phenotypic variations among cellular lineages. Understanding the adaptive and evolutionary roles of such variations requires clarifying
Externí odkaz:
https://doaj.org/article/ed0070732bcf430599c3e50827de9672
Publikováno v:
PLoS Genetics, Vol 13, Iss 3, p e1006653 (2017)
Recent advances in single-cell time-lapse microscopy have revealed non-genetic heterogeneity and temporal fluctuations of cellular phenotypes. While different phenotypic traits such as abundance of growth-related proteins in single cells may have dif
Externí odkaz:
https://doaj.org/article/26b8f0f28b334f53b5e2bdb88087fd79
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 5/7/2024, Vol. 121 Issue 19, p1-12, 45p
Autor:
Ken-ichiro F. Kamei, Koseki J. Kobayashi-Kirschvink, Takashi Nozoe, Hidenori Nakaoka, Miki Umetani, Yuichi Wakamoto
Cellular Raman spectra are optical signatures reflecting comprehensive molecular composition of cells. It has been shown recently that condition-dependent cellular transcriptome profiles are inferable from the changes in cellular Raman spectra. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4642f5fbd330ee88b09cd4815a071be7
https://doi.org/10.1101/2023.05.09.539921
https://doi.org/10.1101/2023.05.09.539921
Autor:
Miki Umetani, Takashi Nozoe, Yuichi Wakamoto, Edo Kussell, Miho Fujisawa, Hidenori Nakaoka, Shoichi Suenaga, Reiko Okura
Bacterial persistence is a phenomenon in which a small fraction of isogenic bacterial cells survives a lethal dose of antibiotics. It is generally assumed that persistence is caused by growth-arrested dormant cells generated prior to drug exposure. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed7bba71bf2c0e71e4fd4bfc1ebffcf
https://doi.org/10.1101/2021.10.28.466227
https://doi.org/10.1101/2021.10.28.466227
Publikováno v:
eLife. 11
Intracellular states probed by gene expression profiles and metabolic activities are intrinsically noisy, causing phenotypic variations among cellular lineages. Understanding the adaptive and evolutionary roles of such variations requires clarifying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad73e57f948bb1f025f8a67b6c8a3ac4
https://pubmed.ncbi.nlm.nih.gov/36472074
https://pubmed.ncbi.nlm.nih.gov/36472074
Autor:
Hajime Arimura, Tsuyoshi Inoue, Hiroya Taguchi, Noriyuki Kobayashi, Seigo Saito, Norifumi Isu, Kentaro Takagi, Takashi Nozoe, Takahiko Sano, Seiichi Deguchi
Publikováno v:
Journal of Power and Energy Engineering. :53-64
Wind-driven power harvestings attract attentions since their target wind speeds are quite low less than the so-called cut-in wind speed, which is generally recognized as around 3 m/s. The extant power harvestings driven by wind-induced-air-column-res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb3697d134210618f1cff467124e0bef
https://doi.org/10.4236/jpee.2018.611005
https://doi.org/10.4236/jpee.2018.611005
Autor:
Tsuyoshi Inoue, Haruna Banno, Akinori Miyajima, Noriyuki Kobayashi, Takashi Nozoe, Hajime Arimura, Takahiko Sano, Kentaro Takagi, Seigo Saito, Norifumi Isu, Seiichi Deguchi
Publikováno v:
Journal of Power and Energy Engineering. :65-77
Low-temperature thermal energy conversions down to exergy zero to electric power must contribute energy sustainability. That is to say, reinforcements of power harvesting technologies from extremely low temperatures less than 373 K might be at least
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ecb854e893766346ecbe3d1d9cf2dd
https://doi.org/10.4236/jpee.2018.611006
https://doi.org/10.4236/jpee.2018.611006
Autor:
Yuichi Wakamoto, Mikihiro Hashimoto, Takashi Nozoe, Edo Kussell, Hidenori Nakaoka, Reiko Okura, Kunihiko Kaneko, Sayo Akiyoshi
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 113(12)
Cellular populations in both nature and the laboratory are composed of phenotypically heterogeneous individuals that compete with each other resulting in complex population dynamics. Predicting population growth characteristics based on knowledge of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4211e0a22d8794a7ea4f17e08b197b
https://pubmed.ncbi.nlm.nih.gov/26951676
https://pubmed.ncbi.nlm.nih.gov/26951676