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関連する概念動画

Classifying Matter by Composition03:35

Classifying Matter by Composition

90.2K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
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Composition of Polyprotic Acid Solutions as a Function of pH01:19

Composition of Polyprotic Acid Solutions as a Function of pH

862
Polyprotic acids of the type H2M constitute two ionizable protons. As a result, on titration with a base, they exhibit two equivalence points in the titration curve. During titration, the species H2M, HM−, and M2− will be present in the solution at different points. The fractions of H2M, HM−, and M2− present at the various instances of the titration are denoted by α0, α1, and α2, respectively.
A graph with the alpha values is plotted against the volume of...
862
Energy Basics02:27

Energy Basics

47.5K
Chemical reactions, such as those that occur when you light a match, involve changes in energy as well as matter.
47.5K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

100.9K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
100.9K
Basicity of Aliphatic Amines01:21

Basicity of Aliphatic Amines

6.9K
Amines can behave as Brønsted–Lowry bases by accepting a proton from the acid to form corresponding conjugate acids. Due to a lone pair of nonbonding electrons, aliphatic amines can also act as Lewis bases by forming a covalent bond with an electrophile.
To measure the basicity of amines, two conventions are generally used. The first defines Kb as the basicity constant for the deprotonation reaction of water by the amine, as presented in Figure 1. Conventionally, lower Kb indicates higher...
6.9K
Basic Operations on Signals01:22

Basic Operations on Signals

1.1K
Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
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関連する実験動画

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A Gut-on-a-Chip Model to Study the Gut Microbiome-Nervous System Axis
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腸内細菌叢の組成と機能:基礎オミクスから精密医療まで

Yan Ma1, Lamei Wang1, Haitao Hu1

  • 1College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.

Genes
|January 28, 2026
PubMed
まとめ

腸内細菌叢は宿主の健康に影響を与え、代謝と免疫を調節する。精密医療への進歩は、がんや神経変性疾患などの疾患に対する標的治療を可能にするために、細菌叢と宿主ゲノミクスを統合する。

キーワード:
健康と疾患宿主と微生物の相互作用ヒトマイクロバイオームメタゲノミクスマルチオミクスアプローチ

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Application of Flow Vermimetry for Quantification and Analysis of the Caenorhabditis elegans Gut Microbiome
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A Double Humanized BLT-mice Model Featuring a Stable Human-Like Gut Microbiome and Human Immune System
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関連する実験動画

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Application of Flow Vermimetry for Quantification and Analysis of the Caenorhabditis elegans Gut Microbiome
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科学分野:

  • 細菌叢研究
  • ゲノミクス
  • トランスレーショナルメディシン

背景:

  • 細菌叢、微生物群集、およびその産物は、宿主の代謝、免疫、神経内分泌機能を厳密に調節する。
  • 細菌叢の全身的影響により、細菌叢-宿主間相互作用の理解は不可欠である。
  • 最近の進歩は、細菌叢データと宿主ゲノミクスを統合する必要性を強調している。

研究 の 目的:

  • 細菌叢-宿主間相互作用に関する最近の進歩の体系的な概要を提供する。
  • 細菌叢の組成、機能、遺伝子型を宿主ゲノミクスと統合する。
  • 基礎研究から臨床応用までの技術的パイプラインを検討する。

主な方法:

  • invitroおよびinvivoモデルを含む技術的パイプラインのレビュー。
  • 単一細菌CRISPR編集、オルガノイド-細菌叢共培養、ヒト化動物モデルなどの技術。
  • パーソナライズされたプロバイオティクス設計のためのマルチオミクス、機械学習、因果推論の適用。

主要な成果:

  • 細菌叢と宿主ゲノミクスの統合は、それらの相互作用の包括的な視点を提供する。
  • 技術的パイプラインは、細菌叢研究から臨床戦略への移行を促進する。
  • 細菌叢の関連性に基づいた精密介入戦略の開発。

結論:

  • 学際的な研究は、細菌叢の洞察を標的とした臨床応用へと変革するために不可欠である。
  • 精密細菌叢介入は、がん、代謝性疾患、神経変性疾患の治療に有望である。
  • このアプローチは、次世代の精密医療の基盤を形成する。