Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Other Stress Responses in Bacteria01:30

Other Stress Responses in Bacteria

443
Bacteria have global regulatory systems that control several types of stress mechanisms. These include Pho regulon and the heat shock response, which are essential systems for environmental adaptation, such as nutrient limitation and proteotoxic stress. The Pho regulon and the heat shock response exemplify bacterial resilience, enabling rapid adaptation to fluctuating environmental conditions.Pho RegulonBacteria require phosphorus for essential cellular processes, including nucleic acid...
443
Variability: Analysis01:11

Variability: Analysis

527
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
527
Random Variables01:09

Random Variables

17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

270
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
270
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

1.5K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.5K
Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

5.8K
When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
5.8K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Multitarget therapeutic potential of sulforaphane in ethidium bromide-induced neurotoxicity in multiple sclerosis-like pathology: comparison with omaveloxolone and dimethyl fumarate on neuroprotection and systemic recovery.

Scientific reports·2026
Same author

Periplasmic detoxification of urate hydroperoxide underpins <i>E. coli</i> survival in the inflamed gut.

bioRxiv : the preprint server for biology·2026
Same author

Advancing the Frontiers of Multiple Sclerosis Management: Emerging Immunotherapeutic Strategies.

Current neurovascular research·2026
Same author

Enhanced therapeutic potential of paeoniflorin and vitamin B12 in intracerebropeduncle ethidium bromide-induced multiple sclerosis-like pathology.

Frontiers in pharmacology·2026
Same author

High growth rates can promote persister cell formation in Pseudomonas aeruginosa.

Proceedings. Biological sciences·2026
Same author

Nutritional pathways from treatment to management of sarcopenia in patients with gastric cancer: a narrative review.

Korean journal of family medicine·2026

関連する実験動画

Updated: Feb 13, 2026

Automated Separation of C. elegans Variably Colonized by a Bacterial Pathogen
11:18

Automated Separation of C. elegans Variably Colonized by a Bacterial Pathogen

Published on: March 21, 2014

9.0K

ストレス下にある細菌における隠れた変数の解明

Divya Choudhary1, Maxence S Vincent2

  • 1Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.

Cell reports
|February 11, 2026
PubMed
まとめ

細菌のストレス応答は表現型の不均一性を示す。細胞挙動における見かけ上のランダム性は、確率的イベントだけでなく、測定されていない要因によるものであることが多く、予測可能な結果を可能にする。

キーワード:
細菌ストレス応答微生物学細菌の適応細胞状態遺伝子調節隠れた変数機械学習微小環境マイクロ流体工学表現型の不均一性単一細胞解析

さらに関連する動画

Measurements of Physiological Stress Responses in C. Elegans
10:36

Measurements of Physiological Stress Responses in C. Elegans

Published on: May 21, 2020

15.0K
Introducing Shear Stress in the Study of Bacterial Adhesion
13:28

Introducing Shear Stress in the Study of Bacterial Adhesion

Published on: September 2, 2011

16.3K

関連する実験動画

Last Updated: Feb 13, 2026

Automated Separation of C. elegans Variably Colonized by a Bacterial Pathogen
11:18

Automated Separation of C. elegans Variably Colonized by a Bacterial Pathogen

Published on: March 21, 2014

9.0K
Measurements of Physiological Stress Responses in C. Elegans
10:36

Measurements of Physiological Stress Responses in C. Elegans

Published on: May 21, 2020

15.0K
Introducing Shear Stress in the Study of Bacterial Adhesion
13:28

Introducing Shear Stress in the Study of Bacterial Adhesion

Published on: September 2, 2011

16.3K

科学分野:

  • 微生物学
  • システム生物学
  • 遺伝学

背景:

  • 表現型の不均一性は、細菌ストレス応答の重要な特徴である。
  • この変動は伝統的に確率論的な分子イベントに起因すると考えられており、還元不可能なノイズと見なされてきた。
  • この視点は、細菌の挙動の理解と予測能力を制限する。

研究 の 目的:

  • 細菌ストレス応答における表現型の不均一性を再考すること。
  • 見かけ上の確率論的現象の根底にある決定論的要因を強調すること。
  • 予測微生物学のための視点を進めること。

主な方法:

  • 代表的なケース（抗生物質耐性、酸化ストレス耐性、DNA修復）のレビュー。
  • 最先端ツールの統合：系統分解マイクロ流体工学、単一細胞RNAシーケンス、高次元レポーター。
  • 細胞軌跡の解析における機械学習の適用。

主要な成果:

  • 細胞挙動における見かけ上のランダム性は、増殖、細胞周期状態、微小環境などの決定論的要因にたどることができる。
  • 細胞挙動に影響を与える隠れた変数は、高度な技術によって明らかにされつつある。
  • これらの要因は、以前は確率的と考えられていた変動を説明する。

結論:

  • ノイズを発見可能な構造として再考することで、予測微生物学が可能になる。
  • 個々の細胞状態と集団挙動を結びつけることは、病原性に関係する。
  • このアプローチは、新しい抗菌戦略を導くことができる。